Shield soil full-period risk assessment method based on interval spherical fuzzy analytic hierarchy process

Abstract

The invention provides a shield soil full-period risk assessment method based on interval spherical fuzzy analytic hierarchy process, and relates to the technical field of shield soil risk assessment. The method comprises the following steps: establishing a shield soil full life cycle risk assessment model which comprises a target layer, a standard layer and an index layer; performing model quantification, including constructing a paired comparison matrix, converting an interval value spherical fuzzy number into a matrix form, determining the consistency of expert judgment through consistency check, calculating a fuzzy weight based on a fuzzy theory, performing defuzzification processing on the weight by using a score function, and performing normalization processing; and weight sorting: carrying out priority sorting on the standard layer according to the local weight, then carrying out further priority sorting on the index layer based on the global weight, and completing weight sorting of the model through comparative analysis with actual data or existing theories. According to the method, the accuracy and consistency of risk assessment are improved by introducing the interval value spherical fuzzy number and consistency check.

Description

Technical Field

[0001] The invention relates to the technical field of shield soil risk assessment, and in particular to a full-cycle risk assessment method for shield soil based on interval spherical fuzzy hierarchy analysis. Background Art

[0002] As a geological medium, shield soil undergoes a series of complex processes such as excavation, transportation, treatment and disposal during shield construction. The formation of shield soil originates from tunnel excavation and stratum disturbance. Its internal composition and structure are affected by factors such as geological structural characteristics, construction technology, and external environment, and it has certain physical and chemical properties. These characteristics give shield soil the potential for recycling as a secondary resource, but it is also accompanied by a variety of safety and environmental risks. Improper treatment of the soil generated by shield construction may cause environmental pollution, storage stability hazards and other problems, affecting the safety of subsequent projects and the environmental quality of the region. Therefore, conducting risk assessment research on the entire life cycle of shield soil to ensure its environmental safety and economic benefits in the resource utilization process has important scientific research significance and engineering application value for the widespread application of shield method in underground projects such as subways and tunnels.

[0003] The risk assessment of shield soil throughout its life cycle involves the excavation, resource utilization and stockpiling of soil. The assessment objects include multi-dimensional factors such as soil composition, construction technology, pollution control and economic benefits. Due to the high heterogeneity and complexity of shield soil, the properties of the soil and the treatment effect will change with the changes in engineering conditions and reuse methods, that is, there is a "process-dependent effect". Studies have shown that the physical and chemical properties of shield soil will change significantly in different treatment processes and utilization stages, and the risk factors involved will also appear accordingly. For example, if improper processes are used in the treatment of shield soil, harmful substances may be released, thereby generating environmental and health safety risks. Therefore, it is necessary to study the law of changes in the risk of shield soil with conditions at different treatment and resource stages, so as to provide a scientific risk control basis for engineering disposal. To characterize the risk of shield soil throughout its life cycle, a systematic evaluation model is usually used to quantify the contribution of different risk factors throughout the life cycle. Due to the diversity of shield soil composition and treatment methods, its life cycle risk assessment research is extremely complex, but it has extremely high engineering application value. Through systematic and quantitative risk assessment, risk warning of shield soil treatment and optimal resource utilization can be achieved, providing protection for engineering and environmental safety.

[0004] The traditional fuzzy analytic hierarchy process can be used for multi-criteria decision analysis of shield soil life cycle, but its greater subjectivity and uncertainty may lead to reduced accuracy and consistency of evaluation results when information is vague or data is missing. Summary of the invention

[0005] In view of the fact that the influencing factors of the full life cycle assessment of shield soil are complex and diverse, and many related factors show randomness and uncertainty, the purpose of the present invention is to provide a full-cycle risk assessment method for shield soil based on Interval-Valued Spherical Fuzzy Analytic Hierarchy Process (IV-SF AHP). The method has wide applicability and accurate results, is convenient for practical application in the risk management of shield soil, and can provide a theoretical basis for the risk management of shield construction projects.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] On the one hand, a full-cycle risk assessment method for shield soil based on interval spherical fuzzy hierarchical analysis is provided, and the method comprises the following steps:

[0008] S1. Establish a risk assessment model for the entire life cycle of shield soil, including: determining the decision target layer based on the actual project situation, on-site shield construction monitoring data and relevant engineering experience; creating an expert team, inviting experts to classify, and determining the standard layer and indicator layer; constructing a decision hierarchy based on the target layer, standard layer and indicator layer;

[0009] S2. Model quantification, including: constructing a pairwise comparison matrix based on the opinions of the expert team and the language terms of pairwise comparison, converting the interval-valued spherical fuzzy number into a matrix form, and forming the expert initial evaluation matrix of the standard layer and the indicator layer; determining the consistency of expert judgment through consistency testing, processing the pairwise comparison matrix based on fuzzy theory, calculating the fuzzy weights, and forming the expert aggregation weight matrix of the standard layer and the indicator layer; using the score function to defuzzify the weights, and obtaining the overall model weight after normalization;

[0010] S3. Weight sorting includes: based on the overall weight of the model, first prioritize the standard layer according to the local weight to determine its relative importance in the decision-making process, and then further prioritize the indicator layer based on the global weight. The weight sorting of the model is completed through comparative analysis with actual data or existing theories.

[0011] Optionally, in step S1, the shield soil life cycle risk assessment model includes a target layer, a standard layer and an indicator layer; the target layer is the goal of the shield soil life cycle risk assessment; the indicator layer involves the entire process of the shield soil life cycle, including shield soil output, processing and application; the indicator layer is selected based on expert evaluation and on-site monitoring data.

[0012] Optionally, representative indicators of the shield soil output stage include: shield soil pH value, shield soil discharge rate, construction site dust concentration and groundwater level change; representative indicators of the shield soil treatment stage include: recycled material qualification rate, treatment cost, treatment process energy consumption rate; representative indicators of the shield soil application stage include: recycled material strength and resource recovery rate;

[0013] On-site monitoring data include: shield soil pH value, shield soil heavy metal content, wastewater discharge and organic matter content.

[0014] Optionally, in step S1, experts express their preferences for each pair of standards in the questionnaire survey, and the consensus building process is applied to perform collaborative decision-making; the experts' answers are compiled, and then a second round of questionnaire surveys is initiated; after three rounds of questionnaire surveys, the final consensus of the experts is obtained, and the expert preferences are converted into corresponding interval-valued spherical fuzzy numbers.

[0015] Optionally, the interval-valued spherical fuzzy number of the domain X Contains six parameters, defined as:

[0016] , ;

[0017] in, ,

[0018] ,

[0019] ,

[0020] ,

[0021] For an element x of domain X, Respectively indicate that x belongs to The membership, non-membership and upper limit of uncertainty;

[0022] Respectively indicate that x belongs to The lower bounds of membership, non-membership and uncertainty.

[0023] Optionally, in step S2, the pairwise comparison matrix constructed is as follows:

[0024]

[0025] Where n is the number of standards, is an interval-valued spherical fuzzy number, indicating the relative importance between the i-th criterion and the j-th criterion; 1≤i≤n, 1≤j≤n.

[0026] Optionally, in step S2, the pairwise comparison matrix is ​​processed based on fuzzy theory, and the fuzzy weight of the jth standard is calculated as follows:

[0027]

[0028] Among them, w j = 1 / n, are the six parameters of the j-th standard interval-valued spherical fuzzy number.

[0029] Optionally, in step S2, the consistency check is performed using the following formula:

[0030]

[0031] Among them, λ max is the maximum eigenvalue of the pairwise comparison matrix, and n is the number of standards; when the consistency ratio is lower than 0.10, the pairwise comparison matrix is ​​considered consistent.

[0032] Optionally, in step S2, the following formula is used to defuzzify the weight using a score function:

[0033]

[0034] in, is the fuzzy weight The six parameters of represents the weight of the jth standard after defuzzification; since positive score values ​​are more useful for spherical calculations, 1 is added to the score function.

[0035] Optionally, in step S2, the weights are normalized using the following formula:

[0036]

[0037] in, is the weight after normalization of the jth standard.

[0038] In another aspect, an electronic device is provided, the electronic device comprising:

[0039] processor;

[0040] A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are loaded and executed by the processor, the steps of the above-mentioned shield soil full-cycle risk assessment method are implemented.

[0041] On the other hand, a computer-readable storage medium is provided, in which program code is stored. The program code can be called by a processor to execute the steps of the full-cycle risk assessment method for shield soil as described above.

[0042] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0043] Based on the interval spherical fuzzy hierarchical analysis (IV-SF AHP), this paper provides a high-precision and robust full-cycle risk assessment method for shield soil. By introducing interval-valued spherical fuzzy numbers and consistency tests, the accuracy and consistency of risk assessment are improved, and the subjective dependence in the assessment process is effectively reduced, ensuring the objectivity and consistency of expert judgment. This method scientifically supports the optimization of shield soil resource utilization and environmental risk control by prioritizing key risk indicators. It is suitable for decision-making management of shield soil resource utilization under complex conditions and provides a reliable risk control basis for engineering applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 It is a flow chart of a full-cycle risk assessment method for shield soil based on interval spherical fuzzy hierarchical analysis provided by an embodiment of the present invention;

[0046] Figure 2 It is a schematic diagram of the framework of a full-cycle risk assessment method for shield soil based on interval spherical fuzzy hierarchical analysis provided by an embodiment of the present invention;

[0047] Figure 3 It is a hierarchical system diagram of the full-cycle risk assessment of shield soil provided by an embodiment of the present invention;

[0048] Figure 4 is a schematic diagram of standard layer weights provided by an embodiment of the present invention;

[0049] Figure 5 It is a schematic diagram of the weight sorting of the indicator layer provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a concrete way. In addition, in this article, the meanings of "full life cycle" and "full cycle" are consistent.

[0052] The embodiment of the present invention provides a method for full-cycle risk assessment of shield soil based on interval spherical fuzzy hierarchical analysis. The method can be implemented by an electronic device, which can be a terminal or a server. Figure 1 and Figure 2 As shown, the processing flow of the method may include the following steps:

[0053] S1. Establish a risk assessment model for the entire life cycle of shield soil, including: determining the decision target layer based on the actual project situation, on-site shield construction monitoring data and relevant engineering experience; creating an expert team, inviting experts to classify, and determining the standard layer and indicator layer; constructing a decision hierarchy based on the target layer, standard layer and indicator layer;

[0054] S2. Model quantification, including: constructing a pairwise comparison matrix based on the opinions of the expert team and the language terms of pairwise comparison, converting the interval-valued spherical fuzzy number into a matrix form, and forming the expert initial evaluation matrix of the standard layer and the indicator layer; determining the consistency of expert judgment through consistency testing, processing the pairwise comparison matrix based on fuzzy theory, calculating the fuzzy weights, and forming the expert aggregation weight matrix of the standard layer and the indicator layer; using the score function to defuzzify the weights, and obtaining the overall weights after normalization;

[0055] S3. Weight sorting includes: on the basis of the overall weight, prioritizing the standard layer according to the local weight to determine its relative importance in the decision-making process; further prioritizing the indicator layer based on the global weight, and completing the weight sorting of the model through comparative analysis with actual data or existing theories.

[0056] The method of the present invention introduces spherical fuzzy numbers, and IV-SF AHP allows the fuzziness of evaluation information to be expressed in a wider range, and uses interval values ​​to enhance the ability to process uncertainty information, so that the fuzzy and random factors of shield soil in the full life cycle risk assessment can be more accurately characterized. This method not only increases the parameter flexibility of the evaluation model and reduces the subjective dependence in the evaluation process, but also integrates the opinions of different experts in the weight determination process, reduces the error caused by the judgment bias of a single expert, and further improves the robustness and scientificity of the evaluation model. When dealing with complex information in the full life cycle assessment of shield soil, this method effectively copes with the uncertainty and diversity of the data, making the evaluation results more objective and accurate. Therefore, the application of the method of the present invention in the risk assessment of shield soil can provide a more reliable basis for engineering decision-making, and help to achieve the optimal selection and risk control of resource utilization of shield soil.

[0057] Furthermore, in step S1, the risk assessment model of shield soil throughout its life cycle includes a target layer, a standard layer and an indicator layer; the target layer is the target of the risk assessment of shield soil throughout its life cycle; the indicator layer involves the entire process of the shield soil throughout its life cycle, including three aspects: shield soil production, processing and application; the indicator layer is selected based on expert evaluation and on-site monitoring data.

[0058] Among them, representative indicators of the shield soil output stage include: shield soil pH value, shield soil discharge rate, construction site dust concentration and groundwater level changes; representative indicators of the shield soil treatment stage include: recycled material qualification rate, treatment cost, treatment process energy consumption rate; representative indicators of the shield soil application stage include: recycled material strength and resource recovery rate.

[0059] On-site monitoring data include: shield soil pH value, shield soil heavy metal content, wastewater discharge and organic matter content, etc.

[0060] Furthermore, in step S1, experts express their preferences for each pair of criteria in the questionnaire survey, and the consensus building process is applied to perform collaborative decision-making; the experts' answers are compiled, and then the second round of questionnaire survey is launched; after three rounds of questionnaire surveys, the final consensus of the experts is sorted out, and the expert preferences are converted into corresponding interval-valued spherical fuzzy numbers. Among them, the main criteria are compared with the objectives, and the indicators are evaluated with respect to the relevant main criteria. After determining that the pairwise comparison matrices are consistent, the interval spherical fuzzy hierarchical analysis method is applied to weight the criteria.

[0061] Interval-valued spherical fuzzy numbers of the universe X Contains six parameters, defined as:

[0062] , ;

[0063] in, ,

[0064] ,

[0065] ,

[0066] , For an element x of domain X, Respectively indicate that x belongs to The membership, non-membership and upper limit of uncertainty;

[0067] Respectively indicate that x belongs to The lower bounds of membership, non-membership and uncertainty.

[0068] The rejection degree of the upper membership is defined as:

[0069] ;

[0070] The rejection degree of the lower limit membership is defined as:

[0071] .

[0072] The corresponding operations for interval-valued spherical fuzzy numbers are as follows:

[0073] make ,

[0074] ,

[0075] is an interval-valued spherical fuzzy number, then:

[0076] , ;

[0077] , ;

[0078] ;

[0079] ;

[0080] Multiply by a scalar: k ≥ 0

[0081] ;

[0082] kth power: k ≥ 0

[0083] .

[0084] Furthermore, in step S2, the pairwise comparison matrix constructed is as follows:

[0085]

[0086] Where n is the number of standards, is an interval-valued spherical fuzzy number, indicating the relative importance between the i-th criterion and the j-th criterion; 1≤i≤n, 1≤j≤n.

[0087] Based on the fuzzy theory, the pairwise comparison matrix is ​​processed and the fuzzy weight of the jth criterion is calculated as follows:

[0088]

[0089] Among them, w j = 1 / n, are the six parameters of the j-th standard interval-valued spherical fuzzy number.

[0090] Furthermore, in step S2, the language terms for pairwise comparison are shown in Table 1:

[0091] Table 1

[0092]

[0093] In the embodiment of the present invention, the expert aggregation weight matrix forming the standard layer and the indicator layer specifically includes:

[0094] The pairwise comparison matrix is ​​aggregated using the following formula:

[0095]

[0096] Among them, IVSWAN w is the spherical weighted arithmetic mean of the interval, is the nth standard interval-valued spherical fuzzy number, w n is the fuzzy weight of the nth criterion.

[0097] During the consistency test, the score indicators are assigned to the pairwise comparison matrix and the AHP consistency test is applied. Specifically, the consistency test is performed using the following formula:

[0098]

[0099] Among them, λ max is the maximum eigenvalue of the pairwise comparison matrix, and n is the number of criteria. When the consistency ratio is lower than 0.10, the pairwise comparison matrix is ​​considered consistent. Otherwise, the decision makers must reconsider their judgment.

[0100] Random consistency is the average consistency index of the randomly generated matrix. The random consistency values ​​for different n values ​​are shown in Table 2 below.

[0101] Table 2

[0102]

[0103] In the embodiment of the present invention, the interval spherical fuzzy local weight can be calculated by the following formula:

[0104]

[0105] Among them, IVSWGM w is the spherical geometric mean of the interval, is the nth standard interval-valued spherical fuzzy number, w n is the fuzzy weight of the nth criterion.

[0106] Furthermore, the weights are defuzzified using the score function using the following formula:

[0107]

[0108] in, is the fuzzy weight The six parameters of represents the weight of the jth standard after defuzzification; since positive score values ​​are more useful for spherical calculations, 1 is added to the score function.

[0109] And, the weights are normalized using the following formula:

[0110]

[0111] in, is the weight after normalization of the jth standard.

[0112] Furthermore, on the basis of the overall weight of the model, the standard layer is first prioritized according to the local weight to determine its relative importance in the decision-making process, and then the indicator layer is further prioritized based on the global weight. The weight ranking of the model is completed through comparative analysis with actual data or existing theories.

[0113] The following is a detailed description of the method of the present invention, taking the section from Xingcun Interchange West Station to Xingcun Station on Jinan Metro Line 4 as an example of using the shield method for construction. The method comprises the following sequential steps:

[0114] S1. Establish a risk assessment model for the entire life cycle of shield soil, including: determining the decision target layer based on the actual project situation, on-site shield construction monitoring data and relevant engineering experience; creating an expert team, inviting experts to classify, and determining the standard layer and indicator layer; constructing a decision hierarchy based on the target layer, standard layer and indicator layer;

[0115] S2. Model quantification, including: constructing a pairwise comparison matrix based on the opinions of the expert team and the language terms of pairwise comparison, converting the interval-valued spherical fuzzy number into a matrix form, and forming the expert initial evaluation matrix of the standard layer and the indicator layer; determining the consistency of expert judgment through consistency testing, processing the pairwise comparison matrix based on fuzzy theory, calculating the fuzzy weights, and forming the expert aggregation weight matrix of the standard layer and the indicator layer; using the score function to defuzzify the weights, and obtaining the overall model weight after normalization;

[0116] S3. Weight sorting includes: based on the overall weight of the model, first prioritize the standard layer according to the local weight to determine its relative importance in the decision-making process, and then further prioritize the indicator layer based on the global weight. The weight sorting of the model is completed through comparative analysis with actual data or existing theories.

[0117] In step S1, each indicator is objectively evaluated according to the actual project situation, on-site shield construction monitoring data and relevant engineering experience, and the target layer T is determined as the risk assessment of the entire life cycle of shield soil. The standard layer C is social risk C1, environmental risk C2, technical risk C3, construction risk C4, and economic risk C5, and each risk includes four indicator layers u, a total of 20 indicator layers u1-u 20 , we can get the risk assessment hierarchy of shield soil throughout its life cycle, as Figure 3 shown.

[0118] Interval-valued spherical fuzzy numbers of the universe X It is mainly composed of six parameters. For the element x of the domain X, Respectively indicate that x belongs to The membership, non-membership and upper limit of uncertainty;

[0119] Respectively indicate that x belongs to The lower bounds of membership, non-membership and uncertainty.

[0120] , .

[0121] To ensure the feasibility of risk assessment of shield soil throughout its life cycle, the expert team used professional terms based on different standards and combined with on-site monitoring data and engineering experience to conduct risk assessment. According to Table 1, the professional terms corresponding to the importance of each risk factor were converted into interval-valued spherical fuzzy numbers to construct the risk assessment matrix of the standard layer and the indicator layer.

[0122] Take the criteria layer as an example: Experts are asked to express their preferences in each pair of criteria. The experts’ responses are compiled and then a second round of questionnaires is launched. After three rounds of opinions, the final consensus of the experts is received. The language preferences are converted into corresponding interval-valued spherical fuzzy numbers. Among them, the main criteria are compared relative to the objectives, while the indicators are evaluated relative to the relevant main criteria. After confirming that the pairwise comparison matrices are consistent, the interval-valued spherical fuzzy hierarchical analysis method is applied to weight the criteria.

[0123] The standard layer pairwise comparison matrix created based on the language evaluation of the expert team is shown in Table 3 below.

[0124] Table 3

[0125]

[0126] Taking the calculation of social risk weight as an example, the fuzzy weight calculation process is as follows:

[0127]

[0128]

[0129]

[0130] Defuzzify the criterion weight:

[0131]

[0132] Normalize the standard weight:

[0133]

[0134] According to the above steps, the standard layer pairwise comparison matrix is ​​as follows in Table 4:

[0135] Table 4

[0136]

[0137] In summary, according to the above steps for calculation and integration, the pairwise comparison matrices of the five standard layer indicators of social risk C1, environmental risk C2, technical risk C3, construction risk C4, and economic risk C5 are shown in Tables 5 to 9 respectively.

[0138] Table 5

[0139]

[0140] Table 6

[0141]

[0142] Table 7

[0143]

[0144] Table 8

[0145]

[0146] Table 9

[0147]

[0148] And the risk assessment process of shield soil throughout its life cycle is sorted in ascending order according to its risk level:

[0149]

[0150]

[0151] Figure 4~Figure 5 They are respectively a schematic diagram of standard layer weights and a schematic diagram of indicator layer weight sorting.

[0152] The present invention establishes a risk assessment model for the entire life cycle of shield soil based on the analytic hierarchy process and interval-valued spherical fuzzy number theory. Based on the model, the risk level of the entire life cycle of shield soil in the section from Xingcun Interchange West Station to Xingcun Station of the Phase I Project of Jinan Rail Transit Line 4 is assessed. The risks are identified in turn as construction safety, environment, technology, economy and society, and high-risk influencing factors such as resource recovery rate, safety accident incidence rate, heavy metal content of shield soil and strength of recycled materials are identified. By comparing the construction accident records with the relevant management measures taken at the construction site, it is found that the assessment results are consistent with those at the construction site, and the evaluation results are relatively accurate.

[0153] Compared with the prior art, the present invention quantifies the uncertainty and fuzziness factors through mathematical analysis, avoiding the blindness of traditional methods. At the same time, the defuzzification and normalization processing methods are adopted in the final grade evaluation to avoid the interference of human subjective factors on the final evaluation results, thus providing a reference for the risk management of shield construction projects.

[0154] In an exemplary embodiment, the present invention further provides an electronic device, the electronic device comprising:

[0155] processor;

[0156] A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are loaded and executed by the processor, the steps of the above-mentioned shield soil full-cycle risk assessment method are implemented.

[0157] In an exemplary embodiment, the present invention further provides a computer-readable storage medium, wherein at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is loaded and executed by a processor to implement the steps of the shield soil full-cycle risk assessment method as described above. For example, the computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0158] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0159] References in the specification to "one embodiment", "an embodiment", "an exemplary embodiment", "some embodiments", etc. indicate that the described embodiments may include a particular feature, structure, or characteristic, but not every embodiment may include the particular feature, structure, or characteristic. In addition, when a particular feature, structure, or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the relevant art to implement such feature, structure, or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0160] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0161] In the present invention, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0162] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0163] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0164] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0165] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0166] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0167] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0168] 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, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A full-cycle risk assessment method for shield soil based on interval spherical fuzzy hierarchical analysis, characterized in that: The following steps are involved: S1. Establish a risk assessment model for the entire life cycle of shield soil, including: determining the decision target layer based on the actual project situation, on-site shield construction monitoring data and relevant engineering experience; creating an expert team, inviting experts to classify, and determining the standard layer and indicator layer; constructing a decision hierarchy based on the target layer, standard layer and indicator layer; S2. Model quantification, including: constructing a pairwise comparison matrix based on the opinions of the expert team and the language terms of pairwise comparison, converting the interval-valued spherical fuzzy number into a matrix form, and forming the expert initial evaluation matrix of the standard layer and the indicator layer; determining the consistency of expert judgment through consistency testing, processing the pairwise comparison matrix based on fuzzy theory, calculating the fuzzy weights, and forming the expert aggregation weight matrix of the standard layer and the indicator layer; using the score function to defuzzify the weights, and obtaining the overall model weight after normalization; S3. Weight sorting includes: based on the overall weight of the model, first prioritize the standard layer according to the local weight to determine its relative importance in the decision-making process, and then further prioritize the indicator layer based on the global weight. The weight sorting of the model is completed through comparative analysis with actual data or existing theories.

2. The shield soil full-cycle risk assessment method according to claim 1 is characterized in that: In step S1, the risk assessment model for the entire life cycle of shield soil includes a target layer, a standard layer and an indicator layer; the target layer is the target of the risk assessment for the entire life cycle of shield soil; the indicator layer involves the entire process of the entire life cycle of shield soil, including the output, treatment and application of shield soil; the indicator layer is selected based on expert evaluation and on-site monitoring data.

3. The shield soil full-cycle risk assessment method according to claim 2 is characterized in that: Representative indicators of shield soil output stage include: shield soil pH value, shield soil discharge rate, construction site dust concentration and groundwater level change; representative indicators of shield soil treatment stage include: recycled material qualification rate, treatment cost, treatment process energy consumption rate; representative indicators of shield soil application stage include: recycled material strength and resource recovery rate; On-site monitoring data include: shield soil pH value, shield soil heavy metal content, wastewater discharge and organic matter content.

4. The shield soil full-cycle risk assessment method according to claim 1 is characterized in that: In step S1, experts express their preferences for each pair of standards in the questionnaire survey, and the consensus building process is applied to perform collaborative decision-making; the experts' answers are compiled, and then a second round of questionnaire surveys is initiated; after three rounds of questionnaire surveys, the final consensus of the experts is obtained, and the expert preferences are converted into corresponding interval-valued spherical fuzzy numbers.

5. The shield soil full-cycle risk assessment method according to claim 4 is characterized in that: Interval-valued spherical fuzzy numbers of the universe X Contains six parameters, defined as: ， ； in, , ， ， ， For an element x of domain X, Respectively indicate that x belongs to The membership, non-membership and upper limit of uncertainty; Respectively indicate that x belongs to The lower bounds of membership, non-membership and uncertainty.

6. The shield soil full-cycle risk assessment method according to claim 1 is characterized in that: In step S2, the pairwise comparison matrix constructed is as follows: ； Where n is the number of standards, is an interval-valued spherical fuzzy number, indicating the relative importance between the i-th criterion and the j-th criterion; 1≤i≤n, 1≤j≤n.

7. The shield soil full-cycle risk assessment method according to claim 6 is characterized in that: In step S2, the pairwise comparison matrix is ​​processed based on fuzzy theory, and the fuzzy weight of the jth standard is calculated as follows: ； Among them, w j = 1 / n, are the six parameters of the j-th standard interval-valued spherical fuzzy number.

8. The shield soil full-cycle risk assessment method according to claim 1 is characterized in that: In step S2, the consistency check is performed using the following formula: ； Among them, λ max is the maximum eigenvalue of the pairwise comparison matrix, and n is the number of standards; when the consistency ratio is lower than 0.10, the pairwise comparison matrix is ​​considered consistent.

9. The shield soil full-cycle risk assessment method according to claim 1 is characterized in that: In step S2, the following formula is used to defuzzify the weight using a score function: ； in, is the fuzzy weight The six parameters of represents the weight of the jth standard after defuzzification; since positive score values ​​are more useful for spherical calculations, 1 is added to the score function.

10. The shield soil full-cycle risk assessment method according to claim 9 is characterized in that: In step S2, the weights are normalized using the following formula: ； in, is the weight after normalization of the jth standard.

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