Long tunnel engineering construction risk dynamic management and control system and method

Abstract

This application discloses a dynamic risk control system and method for long tunnel construction, relating to the field of tunnel construction risk management. The method includes: an automatic risk assessment module that calculates coupled corrected scores for each original score in multi-source risk scoring data to obtain corrected score data; and a module that calculates the risk level of the corresponding risk assessment unit based on the corrected score data. When the risk level exceeds a preset risk acceptance criterion, a risk alarm cancellation instruction module generates an alarm cancellation instruction based on a preset alarm cancellation strategy and issues it to the corresponding participating units for rectification of the risk assessment unit. When the risk level does not exceed the risk acceptance criterion, a periodic risk inspection module organizes a multi-source information reporting module to acquire multi-source risk information at a preset frequency, triggering the automatic risk assessment module to update the risk level. Through the collaboration of these modules, a control process from information integration, risk assessment, and tiered response is constructed, achieving effective risk management.

Description

Technical Field

[0001] This application relates to the field of tunnel construction risk management, and in particular to a dynamic risk control system and method for long tunnel engineering construction. Background Technology

[0002] Long tunnel projects typically refer to tunnels with long lengths, significant variations in burial depth, complex geological conditions, long construction periods, and high construction organization difficulties. They are widely used in railway, highway, water conservancy, and urban infrastructure construction, and are key components of regional transportation systems and major engineering projects. Due to factors such as significant spatial variations in geological conditions, highly heterogeneous surrounding rock structures, diverse construction methods, and long-term accumulation of construction disturbances, the risks in long tunnel construction are characterized by long duration, complex evolution processes, diverse risk types, and mutual coupling. Once a local section experiences sudden water inrush, collapse, deformation instability, or a major safety accident, it often has a chain reaction effect on adjacent construction sections, causing delays, increased investment, and even significant casualties. Therefore, it is urgent to continuously assess and control the risks throughout the entire process of long tunnel construction through systematic and refined risk management methods.

[0003] As the scale of long tunnel projects continues to expand and the construction environment becomes increasingly complex, traditional management models relying on experience-based judgment and phased risk assessments are no longer sufficient to meet the actual needs of real-time risk perception, dynamic analysis, and timely intervention at construction sites. Currently, risk management in long tunnel construction is typically based on risk assessment, supplemented by various management and technical means such as hazard identification, emergency response, monitoring and measurement, advanced geological forecasting, and on-site inspections. In practical engineering applications, a unified risk control framework is often lacking. The aforementioned risk management tasks are often implemented separately by different participating units, resulting in fragmented data sources and inconsistent evaluation standards. This makes it difficult to correct and effectively integrate multi-source risk information, leading to risk assessment results that fail to accurately reflect changes in on-site information during construction. Furthermore, after obtaining the risk assessment results, the lack of a clear task allocation and scheduling mechanism makes it difficult to initiate effective response procedures. Consequently, the various aspects of risk control are disconnected, hindering the achievement of coherent and effective risk management. Summary of the Invention

[0004] The purpose of this application is to provide a dynamic risk management and control system and method for long tunnel construction projects, in order to solve the problem in the prior art that "the various links of risk management are disconnected from each other, making it difficult to achieve coherent and effective risk management".

[0005] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a dynamic risk management and control system for long tunnel construction projects, including: The multi-source information reporting module is used to acquire multi-source risk information for each of the risk assessment units and calculate the original scores of each item in the multi-source risk information to obtain multi-source risk score data. The automatic risk assessment module is connected to the multi-source information reporting module and is used to calculate the coupled correction score of each original score in the multi-source risk scoring data to obtain the correction score data, and calculate the risk level of the corresponding risk assessment unit based on the correction score data. The risk alarm cancellation instruction module is connected to the automatic risk assessment module and is used to determine the risk level. When the risk level exceeds the preset risk acceptance criteria, the risk alarm cancellation instruction module can generate an alarm cancellation instruction based on the preset alarm cancellation strategy and issue it to the corresponding participating unit to rectify the risk assessment unit. The risk periodic inspection module is connected to the risk alarm cancellation instruction module and the multi-source information reporting module. When the risk level does not exceed the risk acceptance criteria, the risk periodic inspection module can organize the multi-source information reporting module to obtain the multi-source risk information at a preset frequency to trigger the risk automatic assessment module to update the risk level.

[0006] In one embodiment, the multi-source risk information includes hazard information, advanced geological information, monitoring and measurement information, inspection information, and emergency information, and the multi-source risk scoring data includes hazard investigation score, advanced geological forecast score, monitoring and measurement score, on-site inspection score, and emergency event score. The multi-source information reporting module includes a hidden danger investigation submodule, an advanced geological forecasting submodule, a monitoring and measurement submodule, an on-site inspection submodule, and a dangerous event submodule. The hazard investigation submodule is used to acquire the hazard information to calculate the hazard investigation score; the advanced geological forecasting submodule is used to acquire the advanced geological information to calculate the advanced geological forecasting score; the monitoring and measurement submodule is used to acquire the monitoring and measurement information to calculate the monitoring and measurement score; the on-site inspection submodule is used to acquire the inspection information to calculate the on-site inspection score; and the hazard event submodule is used to acquire the hazard information to calculate the hazard event score.

[0007] In one embodiment, the formula for calculating the advanced geological prediction score is: ; In the formula, The advanced geological prediction score is given as follows: To score for advanced geological prediction, The hardness of the surrounding rock For completeness, This is a water leakage situation. The orientation of the structural plane, It is in a stress state.

[0008] In one embodiment, the calculation formula for the monitoring measurement score is: ; In the formula, The monitoring measurement is scored. To monitor the measurement score, As the importance index of the measurement points, For the number of measurement points, For measurement point index, ,in, The data is the monitoring value of the measurement point on that day. The weight of the monitoring values ​​of the construction unit, The weighting of the monitoring values ​​from third-party monitoring units. These are monitoring values ​​from the construction unit. These are monitoring values ​​from a third-party monitoring unit.

[0009] In one embodiment, the automatic risk assessment module includes: The coupling submodule, connected to the multi-source information reporting module, is used to perform coupling correction on each original score in the multi-source risk scoring data based on the coupling coefficient matrix, and calculate the coupling correction score to form the correction score data. The risk calculation submodule is used to calculate the risk occurrence probability score and risk loss score of the corresponding risk assessment unit based on the corrected scoring data, and to determine the risk level based on the risk occurrence probability score, the risk loss score and the preset risk matrix.

[0010] In one embodiment, the formula for calculating the corrected scoring data is: ; In the formula, For submodules j The corresponding coupling correction score, For submodules j The corresponding original score, For submodule indexing, ,in, The coupling coefficients in the coupling coefficient matrix represent submodules. Pair of submodules j The coupling effect strength For the adjusted submodule Pair of submodules j The coupling effect strength For submodules iThe corresponding original score, For submodules i Reference scoring points, ∈(0,100).

[0011] In one embodiment, the formula for calculating the probability score of risk occurrence is: ; In the formula, Score the probability of the aforementioned risk occurring. For submodules i Importance index For submodules i The corresponding coupling correction score, For submodule indexes.

[0012] The formula for calculating the risk loss score is as follows: ; In the formula, Score the risk loss. For submodules i Severity index, For submodules i The corresponding coupling correction score.

[0013] In one embodiment, the system further includes a unit prior reference module, which is used to extract the risk assessment results of the preceding risk assessment unit, form prior reference parameters of the subsequent risk assessment results that are related to the preceding risk assessment unit, and transmit the prior reference parameters to the automatic risk assessment module, so that the automatic risk assessment module can correct the weight coefficients of the subsequent risk assessment process based on the prior reference parameters.

[0014] In one embodiment, the weighting coefficients include the reference scoring points, the importance index, and the severity index.

[0015] Secondly, this application also provides a method for dynamic risk management and control in long tunnel construction projects, including the following steps: Obtain multi-source risk information for each risk assessment unit and calculate the original scores of each item in the multi-source risk information to obtain multi-source risk score data; Calculate the coupled corrected scores of each original score in the multi-source risk scoring data to obtain corrected score data, and calculate the risk level of the corresponding risk assessment unit based on the corrected score data; The risk level is determined, and when the risk level exceeds the preset risk acceptance criteria, the risk alarm cancellation instruction module can generate an alarm cancellation instruction based on the preset alarm cancellation strategy and issue it to the corresponding participating unit to rectify the risk assessment unit. When the risk level does not exceed the risk acceptance criteria, the risk periodic inspection module can organize the multi-source information reporting module to obtain the multi-source risk information at a preset frequency, thereby triggering the risk automatic assessment module to update the risk level.

[0016] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides a dynamic risk management and control system for long tunnel construction. It uses a multi-source information reporting module to uniformly acquire multi-source risk information and calculates standardized scores for each element within the multi-source risk information, solving the problems of scattered data sources and inconsistent evaluation standards in traditional methods. An automatic risk assessment module couples and corrects the original scores in the multi-source risk assessment data, quantifying the mutual influence between different risk factors. Simultaneously, it integrates multi-source data from the corrected score data to obtain the risk level of the corresponding risk assessment unit, ensuring that this risk level accurately reflects on-site changes during construction. The risk alarm cancellation command module rectifys the risk assessment unit when the risk level exceeds the standard, and the periodic risk inspection module implements continuous monitoring when the risk level does not exceed the standard. This collectively constructs a clear task allocation and automatic scheduling system based on risk level determination. Therefore, this application, through the collaborative operation of its modules, constructs a management and control process from information integration, risk assessment, and tiered response, effectively solving the problem of disconnected risk management links and achieving coherent and effective risk management. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of a dynamic risk management and control system for long tunnel construction according to an embodiment of this application; Figure 2 This is a schematic diagram of a dynamic risk management and control system for long tunnel construction according to an embodiment of this application; Figure 3 This is a flowchart illustrating a method for dynamic risk management and control in long tunnel construction according to an embodiment of this application. Figure 4 This is a flowchart illustrating a specific example of a dynamic risk management method for long tunnel construction according to an embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0021] See Figure 1 This application provides a dynamic risk management and control system for long tunnel construction, including a multi-source information reporting module, an automatic risk assessment module, a risk alarm cancellation instruction module, and a risk periodic inspection module.

[0022] In this embodiment, the system also includes a risk management platform. In one optional implementation, the risk management platform is connected to a multi-source information reporting module, an automatic risk assessment module, a risk alarm cancellation instruction module, and a periodic risk inspection module, respectively, to realize the division and management of risk assessment units, data aggregation and storage, and display of risk assessment results. For example, this application can adopt a deployment model of "central platform + mobile / web terminal + interface service," that is, the risk management platform is deployed in the project data center or cloud server; participating units can complete reporting and feedback on-site through web / mobile terminals, and monitoring and measurement data and advanced geological forecasting data can be connected to third-party monitoring systems or equipment acquisition systems through interface services to reduce manual data entry. The above deployment model is not limited; it can also be deployed on a dedicated server within a local area network.

[0023] The risk management platform divides long tunnels into multiple construction sections, each serving as a risk assessment unit. In one implementation, the system organizes these risk assessment units as the smallest management object. All reporting, assessment, alarm suppression, and inspections are based on these risk assessment units, and the platform maintains information on each unit, including its number, mileage / spatial range, construction method, construction stage, key procedures, responsible unit, and related units. For linear projects like long tunnels, risk assessment units can be sequentially divided according to the construction direction: in ordinary construction sections, risk assessment units are divided at certain length intervals; in special construction sections, such as those crossing fault zones, expanding cross-section sections, or key transition sections, a separate risk assessment unit can be established. This approach ensures continuity, succession, and correlation among multiple risk assessment units in time and space, facilitating subsequent cross-unit risk prior transmission and feedforward control.

[0024] In this embodiment of the application, the multi-source information reporting module is used to obtain multi-source risk information of each risk assessment unit and calculate the original score of each information in the multi-source risk information to obtain multi-source risk score data.

[0025] Specifically, multi-source risk information includes hazard information, advanced geological information, monitoring and measurement information, inspection information, and emergency information. Multi-source risk scoring data includes hazard investigation scores, advanced geological forecast scores, monitoring and measurement scores, on-site inspection scores, and emergency event scores.

[0026] The multi-source information reporting module includes a hazard investigation submodule, an advanced geological forecasting submodule, a monitoring and measurement submodule, an on-site inspection submodule, and a hazard event submodule. The hazard investigation submodule is used to acquire hazard information to calculate a hazard investigation score; the advanced geological forecasting submodule is used to acquire advanced geological information to calculate an advanced geological forecasting score; the monitoring and measurement submodule is used to acquire monitoring and measurement information to calculate a monitoring and measurement score; the on-site inspection submodule is used to acquire inspection information to calculate an on-site inspection score; and the hazard event submodule is used to acquire hazard information to calculate a hazard event score.

[0027] The original score for each risk assessment unit is represented as follows: ( =1,2,3,4,5). To ensure the comparability and computability of multi-source data, this embodiment adopts a unified scoring range: ∈[0,100], the higher the score, the higher the risk. Scoring for hazard identification, For advanced geological forecasting scoring, For monitoring, measurement and scoring, For on-site inspection scoring, Rate the dangerous event.

[0028] Specifically, the hazard identification submodule is operated and reported by the supervision unit. For ease of project management, a three-tiered classification system can be adopted for hazard categories. The first-level category includes the rectification of violations of regulations ("three violations") and safety hazard identification. The second-level categories for the rectification of violations include: illegal operations, illegal command, and violations of labor discipline. The second-level categories for safety hazard identification include: civilized construction and site management, temporary power supply, hoisting and lifting, traffic safety, environmental protection and occupational health, fire safety, working at heights, openings near edges, emergency management, shield tunneling, open-cut foundation pit construction, and drill-and-blast construction, etc., which can be added or removed according to the actual project situation. The above second-level categories can be further subdivided into third-level categories. Through daily inspections, the supervision unit reports the risk assessment unit where the hazard is located, the hazard category, the hazard description, rectification requirements, and relevant responsible personnel, and provides a hazard severity score. ∈[0,100]. In an optional implementation, if multiple hazard records exist for the same risk assessment unit, the system can automatically select... The maximum value is used as the unit's score.

[0029] Specifically, the advanced geological forecasting submodule is operated and reported by the advanced geological forecasting unit. Forecasting methods may include geological sketching, ground-penetrating radar, and advanced horizontal drilling, with the observation and reporting frequency adjusted according to the construction method and forecasting means. This embodiment provides a computable forecasting scoring mechanism suitable for long tunnels traversing rock strata: based on the hardness of the surrounding rock... Completeness Water leakage Structural plane orientation and stress state This advanced geological information is used to calculate the advanced geological prediction score: ; Then by score The advanced geological prediction score of this risk assessment unit is obtained through mapping. ∈[0,100]. In an alternative implementation, the mapping may be a linear mapping or a piecewise mapping, for example: for Set upper and lower bounds , And calculate using the following formula : ; Specifically, the monitoring and measurement submodule is operated and reported by the construction unit and the third-party monitoring unit respectively. The monitoring and measurement items, cross-sectional layout, measuring point arrangement, and monitoring frequency are determined according to specifications and the engineering monitoring plan. The construction unit and the third-party monitoring unit report the monitoring values ​​of the same measuring point separately to improve data reliability. For the same measuring point... The monitoring value monitored by the construction unit is recorded as follows: The monitoring values ​​of the third-party monitoring unit are recorded as follows: The daily monitoring value of each monitoring point is obtained by weighting and averaging these monitoring measurements. ; in The weight of the monitoring values ​​of the construction unit, The weighting of values ​​monitored by third-party monitoring units can be set based on the perceived higher credibility of third-party monitoring. ≥ For all within a certain risk assessment unit For each measurement point, calculate the monitoring measurement score: ; in This is a measurement point importance index, which can be assigned a value by expert scoring, hierarchical analysis, or automatically based on structurally sensitive areas. Mapping yields monitoring measurement scores ∈[0,100]. In an optional implementation, to eliminate the influence of dimensions, the following can be first... Convert them into unified relative indicators, such as the ratio of relative control values ​​and the distance from alarm thresholds, and then perform weighted summation to enhance versatility.

[0030] Specifically, the on-site inspection sub-module is operated and reported by a third-party risk management unit. It employs a combination of regular and ad-hoc methods, comprehensively considering the following dimensions: ① The working status of participating units, including: organization, management, performance of duties, briefings, pre-shift meetings, etc.; ② The status of construction equipment, including: the integrity rate of key equipment, inspection records, failure rate, etc.; ③ The standardization of team operations, including: work permits, certification, process control, and behavioral norms; ④ The qualification of materials, including: incoming inspection, testing, labeling, and stacking; ⑤ The status of auxiliary facilities, including: fire protection, ventilation, electricity, drainage, etc. Based on this, an on-site inspection score is given to the risk assessment unit. ∈[0,100]. In an alternative implementation, a scoring table for inspection items can be used, and deduction rules can be established to generate [the score]. The inspection details can be retained for subsequent alarm tracing.

[0031] Specifically, the hazard event submodule is operated by on-site personnel from participating units who report hazards immediately upon their occurrence. Hazard events may include, but are not limited to: face collapse, sudden water inrush, mudslide, tunnel boring machine jamming, segment damage, fire, abnormal gas / hazardous gas emissions, personnel falls from heights, and machinery injuries. The reported information must include at least: the specific location of the risk assessment unit, the type of hazard, the time of occurrence, the scope of impact, the status of handling, and a severity score (hazard event score). ∈[0,100]. In some embodiments, the system can set the priority of emergency triggering, when When the threshold is exceeded, the automatic risk assessment and alarm cancellation process is triggered directly, which accelerates the process.

[0032] In this embodiment, after the five sub-modules have completed their reporting, the system proceeds to the automatic risk assessment module. The automatic risk assessment module calculates the coupled corrected scores of each original score in the multi-source risk scoring data to obtain corrected score data, and then calculates the risk level of the corresponding risk assessment unit based on the corrected score data.

[0033] Specifically, the automatic risk assessment module includes a coupling submodule and a risk calculation submodule. The coupling submodule is connected to the multi-source information reporting module and is used to perform coupling correction on each original score in the multi-source risk scoring data based on the coupling coefficient matrix to calculate the coupling correction score, which constitutes the correction score data. The risk calculation submodule is used to calculate the risk occurrence probability score and risk loss score of the corresponding risk assessment unit based on the correction score data, and to determine the risk level based on the risk occurrence probability score, risk loss score and the preset risk matrix.

[0034] To account for the correlation and coupling effects among the five types of risk information, a multi-source risk information coupling coefficient matrix is ​​constructed. ,in Represents submodule i Pair of submodules j The coupling influence strength matrix can be determined by expert assignment, historical data regression, or combination methods, based on factors such as project scale and complexity, characteristics of risk assessment units, and risk tolerance.

[0035] In an alternative implementation, the coupling coefficients between any two submodules can be determined based on the following rules if expert assignment is used: considering the submodules i The adverse results for the submodule j The suggested amplification factor for the rating is used as the coupling coefficient for multi-source risk information. The values ​​of are as follows. For example, the values ​​of the multi-source risk information coupling coefficient matrix for the five sub-modules are as follows: ; For example, c 34 =1.2 refers to the coupling amplification factor of 1.2 for the risk score of on-site inspection, taking into account the adverse effects of monitoring and measurement values.

[0036] The scores for each submodule after coupling correction are calculated as follows: ; In the formula, For submodules jThe corresponding coupling correction score, For submodules j The corresponding original score, For submodule indexing, ,in, The coupling coefficients in the coupling coefficient matrix represent submodules. Pair of submodules j The coupling effect strength For the adjusted submodule Pair of submodules j The coupling effect strength For submodules i The corresponding original score, For submodules i Reference scoring points, ∈(0,100). The above definition guarantees that when the submodule i When the score is low, other sub-modules are not amplified; when the sub-module score is low... i When the score of a certain module is high, the score of the related sub-module is amplified, thus reflecting the risk coupling amplification effect. That is, only when the sub-module receives a higher score will the score be amplified. i The risk of other modules will only be amplified when the current score exceeds the corresponding preset threshold.

[0037] In an alternative implementation, to avoid scoring overflow caused by coupling amplification, the score can be adjusted after calculation. Truncation: .

[0038] Specifically, the formula for calculating the probability score of risk occurrence is as follows: ; in, For submodules i Importance index , It can be provided by experts or configured according to engineering risk characteristics. Based on the probability of risk occurrence score, the probability level of risk occurrence for this risk assessment unit is determined. In an optional implementation, ∈[0,20): Risk probability level 5; ∈[20,40): Risk probability level 4; ∈[40,60): Risk probability level 3; ∈[60,80): Risk probability level 2; ∈[80,100]: Risk probability level 1.

[0039] Specifically, the formula for calculating the risk loss score is as follows: ; in, ≥1 is a submodule i The severity index can be given by experts or configured according to the characteristics of engineering risks. Based on the risk loss score, the risk loss level of the risk assessment unit is determined. In an optional implementation, C∈[0,20): risk loss level E; C∈[20,40): risk loss level D; C∈[40,60): risk loss level C; C∈[60,80): risk loss level B; C∈[80,100]: risk loss level A.

[0040] The risk level of each risk assessment unit is determined by the automatic risk assessment module by looking up the risk level in the risk matrix, combining the probability of risk occurrence and the risk loss level. The specific partitions of the risk matrix can be determined by the project's risk acceptance strategy, which is fixed in the form of a configuration table and can be configured differently according to construction methods, sections, and stages. In one optional implementation, Level I risk corresponds to the following combinations of risk probability levels and risk loss levels: (1,A), (1,B), (1,C), (2,A), (2,B), (3,A); Level II risk corresponds to the following combinations of risk probability levels and risk loss levels: (1,D), (2,C), (3,B), (4,A); Level III risk corresponds to the following combinations of risk probability levels and risk loss levels: (1,E), (2,D), (2,E), (3,C), (3,D), (4,B), (4,C), (5,A), (5,B); Level IV risk corresponds to the following combinations of risk probability levels and risk loss levels: (3,E), (4,D), (4,E), (5,C), (5,D), (5,E). The output of the automatic risk assessment module to the risk alarm cancellation instruction module includes at least: the risk assessment unit number, With its rank, Its level, risk level, and various sub-modules in the multi-source information reporting module and And the leading sub-modules that contribute significantly to the risk level.

[0041] In this embodiment, the risk alarm cancellation instruction module is connected to the risk automatic assessment module and is used to determine the risk level. When the risk level exceeds the preset risk acceptance criteria, the risk alarm cancellation instruction module can generate an alarm cancellation instruction based on the preset alarm cancellation strategy and send it to the corresponding participating unit to rectify the risk assessment unit.

[0042] The risk extinguishing instruction module determines whether a risk is acceptable based on the risk level, the risk acceptance level of participating units, and the risk acceptance criteria. If the risk is unacceptable, extinguishing measures and extinguishing instructions are generated and issued to the corresponding participating units and the corresponding reporting submodules to organize rectification, intensified monitoring, or special handling, and execution feedback is received. If the risk is acceptable, the information and status of the risk assessment unit are output to the risk periodic inspection module. For example, regarding the preset risk acceptance criteria, Level III and IV risks can be judged as acceptable, while Level I and II risks can be judged as unacceptable. The specific thresholds can be configured differently according to the actual situation of the project.

[0043] In one implementation, the alarm cancellation strategy generation follows two main paths: 1. Path A: Reduce the probability of risk occurrence score (reduce) This includes: A1 – prioritizing sub-modules that are likely to lower the score, such as hazard management, rectification of on-site inspection issues, and improvement of equipment / materials / work team status; A2 – prioritizing… Start with higher-level submodules; A3 – prioritize starting with… Start with the more related sub-modules.

[0044] 2. Path B: Reduce risk loss score (reduce) Including: B1 – Prioritized for The largest submodule's measures; B2—by lowering the submodule's own score. Examples include eliminating hidden dangers, rectifying work teams, and improving emergency measures; B3—reduces the amplification effect by lowering the scores of sub-modules that are more closely coupled with it.

[0045] In one implementation, the output of the alarm suppression command may include: target unit, target sub-module, list of measures, responsible unit or person, completion deadline, review method, and requirements for adjustments to monitoring / forecasting / inspection frequencies. The system retains the command version number and issuance time, forming a traceable closed-loop chain.

[0046] After each participating unit takes measures according to the alarm extinguishing instruction, they can obtain the latest score and supporting materials through the corresponding sub-module in the multi-source information reporting module. The system will execute feedback and trigger the automatic risk assessment module to conduct a risk reassessment. If the reassessment result is still unacceptable, the alarm extinguishing instruction will be re-formulated based on the new assessment result, and the cycle of "assessment → alarm extinguishing → reassessment" will be executed until the risk reaches an acceptable range.

[0047] In an alternative implementation, the system can be configured with reassessment trigger conditions. For example, it can be automatically triggered when the score of any submodule changes beyond a threshold, a hazard event is triggered, or the alarm is extinguished and the status changes, thereby improving real-time performance.

[0048] In this embodiment, the risk periodic inspection module is connected to the risk alarm cancellation instruction module and the multi-source information reporting module. When the risk level does not exceed the risk acceptance criteria, the risk periodic inspection module can organize the multi-source information reporting module to obtain multi-source risk information at a preset frequency to trigger the risk automatic assessment module to update the risk level.

[0049] Once the risk assessment unit's risk level is within acceptable limits or decreases from unacceptable to acceptable levels, the unit enters a periodic risk inspection state, and the periodic risk inspection module becomes operational. Each submodule within the multi-source information reporting module conducts daily periodic and irregular inspections according to its predetermined frequency. After each inspection, the latest score value of the corresponding submodule for the risk assessment unit is updated through the multi-source information reporting module. Upon receiving the updated information from the multi-source information reporting module, the system outputs it to the automatic risk assessment module, automatically updating the risk level. If the risk becomes unacceptable, the "assessment → alarm deactivation → reassessment" cycle restarts until the risk returns to an acceptable state.

[0050] In one optional implementation, the inspection frequency can be adaptively adjusted based on historical data fluctuations. For example, when the risk of a certain risk assessment unit is stable and below the threshold for a period of time, the inspection frequency can be reduced; when a certain sub-module in the multi-source information reporting module fluctuates frequently or has significant coupling amplification, the inspection frequency can be increased.

[0051] In the embodiments of this application, see Figure 2 The system also includes a unit prior reference module, which extracts the risk assessment results of preceding risk assessment units, forms prior reference parameters for subsequent risk assessment results that are related to the preceding risk assessment units, and transmits these prior reference parameters to the automatic risk assessment module. This allows the automatic risk assessment module to adjust the weighting coefficients of subsequent risk assessment processes based on the prior reference parameters. The weighting coefficients include reference scoring points, importance index, and severity index.

[0052] In one implementation, the prior reference content includes at least: the risk level of the preceding unit and its changing trend; and the corrected scores of each sub-module in the multi-source information reporting module. Typical levels and fluctuation ranges; contributions of key risk factors, such as in The submodule that contributed the most in The main sub-module; the types of alarm suppression measures implemented, their execution cycles, and changes in scores before and after rectification; coupled amplification features, such as those frequently triggering amplification. .

[0053] In one alternative implementation, the prior reference parameter can be used for two purposes: 1. Default constraints on multi-source information reporting: When subsequent units have not yet generated sufficient real-time data, the system provides default scores or default evaluation parameters for missing modules to avoid data omissions.

[0054] 2. Weighting adjustment for automatic risk assessment: Using experience from previous units to adjust... , , These parameters allow subsequent unit risk assessments to more closely reflect actual risk evolution patterns. For example, if a preceding unit shows that "advanced forecast anomalies have a significant impact on subsequent risks," then the importance of the advanced geological forecast submodule is increased. .

[0055] The system establishes a mapping of risk assessment unit relationships using a unit prior reference module, which may include, but is not limited to: temporal relationships—establishing relationships between preceding and succeeding units according to the construction progress sequence; spatial relationships—establishing relationships based on mileage adjacency, structural adjacency, and geological continuity; and category relationships—establishing similar reference relationships between similar special processes. In an optional implementation, the system maintains a set of relationships N(u) for each risk assessment unit u, which includes its preceding adjacent units and similar reference units; and maintains a weight ω for each relationship. uv This is used to measure reference strength, and its weights can be given by experts, derived from historical performance inversion, or generated according to a distance decay function. These weights are used for the generation and updating of prior reference parameters for subsequent elements.

[0056] In one optional implementation, the system can write back the assessment and alarm reduction effects of subsequent risk assessment units to the prior reference module, forming a rolling update mechanism of "prior-post-prior-re-prior", so as to realize the accumulation, transfer and reuse of experience.

[0057] Based on the same inventive concept, this application also provides a method for dynamic risk management and control in long tunnel construction. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the method for dynamic risk management and control in long tunnel construction provided below can be found in the limitations of the dynamic risk management and control system for long tunnel construction described above, and will not be repeated here.

[0058] See Figure 3 This application also provides a method for dynamic risk management and control in long tunnel construction projects, including the following steps: S100: Obtain multi-source risk information for each risk assessment unit and calculate the original scores of each item in the multi-source risk information to obtain multi-source risk score data; S200: Calculate the coupled corrected scores of each original score in the multi-source risk scoring data to obtain corrected score data, and calculate the risk level of the corresponding risk assessment unit based on the corrected score data; S300: The risk level is determined. When the risk level exceeds the preset risk acceptance criteria, the risk alarm cancellation instruction module can generate an alarm cancellation instruction based on the preset alarm cancellation strategy and issue it to the corresponding participating units to rectify the risk assessment unit. S400: When the risk level does not exceed the risk acceptance criteria, the risk periodic inspection module can organize the multi-source information reporting module to obtain multi-source risk information at a preset frequency, so as to trigger the risk automatic assessment module to update the risk level.

[0059] See Figure 4 In a specific example, the dynamic risk management method for long tunnel construction can be implemented according to the following steps: Risk assessment unit division and modeling: Divide the construction area of ​​long tunnel projects into risk assessment units, and establish data objects corresponding to each risk assessment unit in the risk management platform, including at least the unit number, mileage / spatial range, construction method, construction stage, responsible unit and key process.

[0060] Unit spatiotemporal association establishment and prior reference parameter generation: Based on the construction progress sequence and spatial adjacency relationship, risk assessment unit association mapping is established, and the unit prior reference module extracts the assessment results and alarm elimination execution feedback of the previous risk assessment unit to form the prior reference parameters of the subsequent risk assessment unit.

[0061] Multi-source information reporting and unit score formation: The multi-source information reporting module collects hazard information, advanced geological information, monitoring and measurement information, inspection information and danger information to form the original score.

[0062] Coupling Correction Calculation: Based on the coupling coefficient matrix, coupling correction is performed on each original score to obtain the corrected score, where the correction relationship satisfies: , .

[0063] Automatic assessment of risk probability, loss, and risk level: Calculates a risk probability score based on corrected scoring data. Risk loss scoring And determine the risk level based on the risk matrix.

[0064] Risk Acceptability Assessment and Alarm Cancellation Order Issuance: Based on risk acceptance criteria, determine whether the risk is acceptable. If not, the risk cancellation order module generates cancellation measures and issues a cancellation order. The cancellation strategy must at least include "reducing..." "and "reduced" "Two types of paths are defined, and the responsible parties and completion deadlines are clearly identified."

[0065] Execution feedback reporting and risk reassessment closed loop: After the participating units implement the alarm extinguishing measures, they update the scores of each sub-module and conduct a risk reassessment; if the reassessment is still unacceptable, they return to the "risk acceptable determination and alarm extinguishing instruction issuance" step and iterate until the risk is acceptable.

[0066] Regular inspections and dynamic risk updates: When the risk is acceptable, the system enters the regular risk inspection state, calculates the latest score at a preset frequency, and dynamically updates the risk level; when the update result is unacceptable, the cycle of assessment-alarm deactivation-reassessment is restarted.

[0067] Prior reference update and experience transfer: The risk assessment results and alarm elimination execution effects are written back to the unit prior reference module to update the prior reference values ​​and default assessment parameters of subsequent units, so as to realize cross-unit experience transfer and feedforward control.

[0068] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0069] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A long and large tunnel engineering construction risk dynamic management and control system, the long and large tunnel comprising a plurality of risk assessment units, characterized in that, include: The multi-source information reporting module is used to acquire multi-source risk information for each of the risk assessment units and calculate the original scores of each item in the multi-source risk information to obtain multi-source risk score data. The automatic risk assessment module is connected to the multi-source information reporting module and is used to calculate the coupled correction score of each original score in the multi-source risk scoring data to obtain the correction score data, and calculate the risk level of the corresponding risk assessment unit based on the correction score data. The risk alarm cancellation instruction module is connected to the automatic risk assessment module and is used to determine the risk level. When the risk level exceeds the preset risk acceptance criteria, the risk alarm cancellation instruction module can generate an alarm cancellation instruction based on the preset alarm cancellation strategy and issue it to the corresponding participating unit to rectify the risk assessment unit. The risk periodic inspection module is connected to the risk alarm cancellation instruction module and the multi-source information reporting module. When the risk level does not exceed the risk acceptance criteria, the risk periodic inspection module can organize the multi-source information reporting module to obtain the multi-source risk information at a preset frequency to trigger the risk automatic assessment module to update the risk level.

2. The dynamic risk management and control system for long tunnel construction as described in claim 1, characterized in that, The multi-source risk information includes hazard information, advanced geological information, monitoring and measurement information, inspection information, and emergency information. The multi-source risk scoring data includes hazard investigation score, advanced geological forecast score, monitoring and measurement score, on-site inspection score, and emergency event score. The multi-source information reporting module includes a hidden danger investigation submodule, an advanced geological forecasting submodule, a monitoring and measurement submodule, an on-site inspection submodule, and a dangerous event submodule. The hazard investigation submodule is used to acquire the hazard information to calculate the hazard investigation score; the advanced geological forecasting submodule is used to acquire the advanced geological information to calculate the advanced geological forecasting score; the monitoring and measurement submodule is used to acquire the monitoring and measurement information to calculate the monitoring and measurement score; the on-site inspection submodule is used to acquire the inspection information to calculate the on-site inspection score; and the hazard event submodule is used to acquire the hazard information to calculate the hazard event score.

3. The dynamic risk management and control system for long tunnel construction as described in claim 2, characterized in that, The formula for calculating the advanced geological prediction score is as follows: ； In the formula, The advanced geological prediction score is given as follows: To score for advanced geological prediction, The hardness of the surrounding rock For completeness, This is a water leakage situation. The orientation of the structural plane, It is in a stress state.

4. The dynamic risk management and control system for long tunnel construction as described in claim 2, characterized in that, The calculation formula for the monitoring measurement score is as follows: ； In the formula, The monitoring measurement is scored. To monitor the measurement score, As the importance index of the measurement points, For the number of measurement points, For measurement point index, ,in, The data is the monitoring value of the measurement point on that day. The weight of the monitoring values ​​of the construction unit, The weighting of the monitoring values ​​from third-party monitoring units. These are monitoring values ​​from the construction unit. These are monitoring values ​​from a third-party monitoring unit.

5. The dynamic risk management and control system for long tunnel construction as described in claim 1, characterized in that, The automatic risk assessment module includes: The coupling submodule, connected to the multi-source information reporting module, is used to perform coupling correction on each original score in the multi-source risk scoring data based on the coupling coefficient matrix, and calculate the coupling correction score to form the correction score data. The risk calculation submodule is used to calculate the risk occurrence probability score and risk loss score of the corresponding risk assessment unit based on the corrected scoring data, and to determine the risk level based on the risk occurrence probability score, the risk loss score and the preset risk matrix.

6. The dynamic risk management and control system for long tunnel construction as described in claim 5, characterized in that, The formula for calculating the corrected score data is: ； In the formula, For submodules j The corresponding coupling correction score, For submodules j The corresponding original score, For submodule indexing, ,in, The coupling coefficients in the coupling coefficient matrix represent submodules. Pair of submodules j The coupling effect strength For the adjusted submodule Pair of submodules j The coupling effect strength For submodules i The corresponding original score, For submodules i Reference scoring points, ∈(0,100).

7. The dynamic risk management and control system for long tunnel construction as described in claim 6, characterized in that, The formula for calculating the probability score of risk occurrence is as follows: ； In the formula, Score the probability of the aforementioned risk occurring. For submodules i Importance index For submodules i The corresponding coupling correction score, For submodule indexes. The formula for calculating the risk loss score is as follows: ； In the formula, Score the risk loss. For submodules i Severity index, For submodules i The corresponding coupling correction score.

8. The dynamic risk management and control system for long tunnel construction as described in claim 7, characterized in that, The system also includes a unit prior reference module, which is used to extract the risk assessment results of the preceding risk assessment unit, form prior reference parameters of the subsequent risk assessment results that are related to the preceding risk assessment unit, and transmit the prior reference parameters to the automatic risk assessment module, so that the automatic risk assessment module can correct the weight coefficients of the subsequent risk assessment process based on the prior reference parameters.

9. The dynamic risk management and control system for long tunnel construction as described in claim 8, characterized in that, The weighting coefficients include the reference scoring points, the importance index, and the severity index.

10. A method for dynamic risk management and control in the construction of long tunnel projects, characterized in that, Includes the following steps: Obtain multi-source risk information for each risk assessment unit and calculate the original scores of each item in the multi-source risk information to obtain multi-source risk score data; Calculate the coupled corrected scores of each original score in the multi-source risk scoring data to obtain corrected score data, and calculate the risk level of the corresponding risk assessment unit based on the corrected score data; The risk level is assessed, and when the risk level exceeds the preset risk acceptance criteria, the risk alarm cancellation instruction module can generate an alarm cancellation instruction based on the preset alarm cancellation strategy and issue it to the corresponding participating unit to rectify the risk assessment unit. When the risk level does not exceed the risk acceptance criteria, the risk periodic inspection module can organize the multi-source information reporting module to obtain the multi-source risk information at a preset frequency, thereby triggering the risk automatic assessment module to update the risk level.

Images