A tunnel construction safety management system

Abstract

The application discloses a tunnel construction safety management system and relates to the technical field of tunnel safety evaluation. The data acquisition module is arranged to collect the monitoring values of a plurality of monitoring parameters of the target tunnel in real time. The evaluation interaction module is arranged to sequentially transmit the monitoring values of the monitoring parameters. The transmission sequence is determined by the index scores of the various safety risks evaluated by the data analysis module in combination with the risk evaluation platform, the importance of the various monitoring parameters and the number of the monitoring parameters that can be used to analyze the safety risk types. The transmission priority of the monitoring parameters is updated by the multi-value continuous index and the guide sequence value. When the index score of a certain safety risk exceeds the guide correlation threshold value, the monitoring data transmission sequence of the associated risk in the corresponding interaction period is immediately adjusted, so that the monitoring data transmission sequence is associated with the real-time safety risk, and the system resources occupied by the low-risk data when the safety risk exceeds the limit is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tunnel safety assessment, in particular to a tunnel construction safety management system. BACKGROUND

[0002] In the field of tunnel engineering construction, due to the complex construction environment and variable geological conditions, various safety risks such as collapse, water gushing and gas leakage are faced in the construction process. In order to ensure construction safety, the existing tunnel construction safety management system generally adopts the way of periodically evaluating various risks, by deploying displacement sensors, water pressure sensors, gas concentration detectors and other equipment, collecting monitoring data of geological structure, support stress, gas content and other monitoring parameters, and based on the threat of various risks, the monitoring data of each monitoring parameter is sorted and transmitted to facilitate the processing of high-threat risk data in priority.

[0003] However, the existing system does not take into account the guiding correlation between safety risks, that is, when a safety risk is evaluated as safe, several safety risks related to it are also in a safe state with high probability, for example, when the geological structure of a certain area of the tunnel is confirmed to be stable through comprehensive detection, there is no risk of rock layer sliding and collapse, the water gushing risk and support structure stress overrun risk caused by structural deformation in this area are also likely to be within the controllable range, but the existing system still transmits and evaluates the monitoring data corresponding to all risks in the preset fixed order, such as after completing the geological structure risk evaluation, the related data of water gushing risk and support stress risk are still processed in turn, without considering the actual necessity of these data under the current working condition. This mechanical data sorting and transmission method leads to the possibility that system resources are consumed in the processing of risk data that can be predicted to be safe in priority, which reduces the response speed of the remaining risk evaluation.

[0004] In order to solve the above problems, the present application provides a solution. SUMMARY

[0005] The purpose of the present application is to provide a tunnel construction safety management system to solve the problems raised in the background.

[0006] The present application provides a tunnel construction safety management system, comprising:

[0007] The evaluation interaction module is used for periodically transmitting all monitoring values of all monitoring parameters stored in ascending order according to the interaction number of each monitoring parameter.

[0008] The risk assessment platform is used to receive all monitoring values ​​of all monitoring parameters used to assess the safety risk at each assessment cycle, for any type of safety risk selected by the management personnel, according to the preset assessment duration of the safety risk. After receiving all monitoring values, the platform inputs them into the tunnel construction risk assessment model as the assessment dataset of the safety risk in the assessment cycle, and obtains the index score of the safety risk in the assessment cycle output by the tunnel construction risk assessment model.

[0009] The data analysis module is used to analyze the risk assessment data stored in it for several assessment periods. During the analysis, for any security risk, based on the index scores of several types of security risks contained in the risk assessment data, several security risks are determined from all security risks as the guiding risks of the security risk at P1, P2, P3, and P4 in sequence, and the corresponding guiding weights are calculated.

[0010] For any security risk, the data analysis module generates a risk guidance table for each security risk based on all guiding risks and their guiding weights determined to be the security risk at P1, P2, P3, and P4, where P1, P2, P3, and P4 are the preset first, second, third, and fourth boundary scores, respectively.

[0011] After receiving the risk guidance table of several security risks transmitted, the risk assessment platform updates the interaction number of all monitoring parameters stored in the assessment interaction module according to the preset update rules.

[0012] The risk assessment platform is also used to, after storing a risk guidance table of several security risks, compare the index score of any security risk with a preset guidance association threshold for the security risk at each assessment cycle after obtaining the index score of the security risk in the assessment cycle. If the index score is greater than or equal to the guidance association threshold, the transmission order of the monitoring values ​​of several monitoring parameters is adjusted in the assessment cycle according to preset adjustment steps; otherwise, no processing is performed.

[0013] Furthermore, it also includes a data acquisition module, which is used to collect monitoring data of the target tunnel in real time and transmit it to the evaluation and interaction module for storage. The monitoring data includes the monitoring values ​​of several monitoring parameters.

[0014] Furthermore, the evaluation interaction module stores the interaction numbers of several monitoring parameters. The interaction numbers start from the number 1 and proceed sequentially. The smaller the value of the interaction number, the earlier the transmission order of the monitoring value of the corresponding monitoring parameter.

[0015] Furthermore, the data analysis module generates a risk guidance table for each security risk based on all guiding risks and their guiding weights identified as security risks at points P1, P2, P3, and P4, as follows:

[0016] S11: Label all types of safety risks that can be assessed by the tunnel construction risk assessment model as A1, A2, ..., Aa, where a≥1;

[0017] S12: Establish guiding variables B1, B2, ..., Ba-1 for safety risks A2, A3, ..., Aa under safety risk A1, respectively, where the initial values ​​of guiding variables B1, B2, ..., Ba-1 are all 0;

[0018] S13: Using P1 as the screening score indicator, extract all risk assessment data C1, C2, ..., Cc containing the safety risk A1 with an indicator score greater than or equal to P1 from the data analysis unit, where c≥1;

[0019] S14: Assign a value to the guiding variable B1 of safety risk A2 under safety risk A1: Iterate through the assessment result data of safety risk A2 in the risk assessment data C1, C2, ..., Cc, count the total number of assessment result data in which the indicator score is greater than or equal to Z1, and assign the total number to the guiding variable B1, where Z1 is a preset guiding score elimination threshold.

[0020] S15: Compare the values ​​of the assigned guidance variables C1 and Z2. If C1 ≥ Z2, then determine that the safety risk A2 is the guidance risk of A1 at P1. Use the formula D1 = C1 / c to calculate the guidance weight of the safety risk A2 as A1 at P1. Otherwise, do not do anything. Z2 is the preset guidance association screening threshold.

[0021] S16: P2, P3, and P4 are used as screening score indicators in sequence to determine whether safety risk A2 is the guiding risk of A1 at P2, P3, and P4. Based on the judgment result, the corresponding guiding weight is calculated and obtained, where P1, P2, P3, and P4 are the preset first, second, third, and fourth boundary scores in sequence.

[0022] S17: Following S12 to S16, P1, P2, P3, and P4 are used as screening score indicators in sequence to determine whether safety risks A3, A4, ..., Aa are the guiding risks of A1 at P1, P2, P3, and P4. Based on the determination results, the corresponding guiding weights are calculated. After the determination is completed, all guiding risks determined to be A1 at P1, P2, P3, and P4 and their guiding weights are obtained, and a risk guidance table for safety risk A1 is generated.

[0023] S18: Generate the risk-oriented tables for safety risks A2, A3, …, Aa in sequence according to S11 to S17.

[0024] Furthermore, the update steps for updating the interaction numbers of all monitoring parameters stored in the evaluation interaction module are as follows:

[0025] S21: Extract all the oriented risks and their oriented weights determined to be for A1 at P1 from the risk-oriented table of safety risk A1, label all the obtained oriented risks as D1, D2, …, Dd respectively, where 1 ≤ d < a, and label all the obtained oriented weights as E1, E2, …, Ed correspondingly;

[0026] S22: Use the formula to calculate and obtain the first-level oriented correlation index F1 of A1 at P1. In the formula, ɑ1 and ɑ2 are the preset first and second dimension adjustment factors respectively, and the first-level oriented correlation index is defined artificially to measure the strength of the oriented correlation of safety risk A1 at P1 relative to all the oriented risks in its risk-oriented table;

[0027] S23: Calculate and obtain the second-level oriented correlation index F2 of A1 at P1 according to the preset calculation rules;

[0028] S24: Calculate and obtain the third-level, fourth-level, …, k1-level oriented correlation indexes F3, F4, …, Fk1 of safety risk A1 at P1 in sequence according to S23, where k1 represents the maximum number of levels of the oriented correlation indexes that can be recursively decomposed in the risk-oriented table;

[0029] S25; Use the formula to calculate and obtain the connection index L1 of safety risk A1 at P1. The connection index is defined artificially to characterize the comprehensive recursive influence degree of the oriented correlation of safety risk A1. In the formula, Ff represents each of the oriented correlation indexes F1, F2, …, Fk1, and βf is the preset proportion weight corresponding to the oriented correlation index;

[0030] S26: Calculate and obtain the connection indexes L2, L3, L4 of safety risk A1 at P2, P3, P4 in sequence according to S21 to S25, and use the formula M1 = (L1×λ1 + L2×λ2 + L3×λ3 + L4×λ4)×η1 / Z1×η2 to calculate and obtain the multi-value connection index M1 of safety risk A1. In the formula, λ1, λ2, λ3 and λ4 are the preset proportion weights at P1, P2, P3, P4 respectively, Z1 is the preset standard transmission capacity of safety risk A1, and η1, η2 are the preset fifth and sixth dimension adjustment factors;

[0031] S27: Calculate and obtain the multi-valued interconnected indicators of safety risks A2, A3, ..., Aa in sequence according to S21 to S26, and re-label the safety risks corresponding to the multi-valued interconnected indicators in descending order of value as N1, N2, ..., Na;

[0032] S28: Label all monitoring parameters of the target tunnel collected by the data acquisition module as Q1, Q2, ..., Qq, where q≥1;

[0033] S29: Calculate the guiding sorting baseline value of monitoring parameter Q1 according to the preset calculation rules. Similarly, calculate the guiding sequence values ​​of monitoring parameters Q2, Q3, ..., Qq in sequence. Update the interaction numbers of all monitoring parameters currently stored in the evaluation interaction module. During the update process, the interaction number of the monitoring parameter corresponding to the largest guiding sequence value is 1, and the interaction numbers of the corresponding monitoring parameters are updated to 2, 3, ..., q in descending order.

[0034] Furthermore, the steps for adjusting the transmission order of monitoring values ​​for several monitoring parameters during the evaluation period are as follows:

[0035] Retrieve all the guiding risks of the security risk from the risk guidance table of the security risk;

[0036] For each acquired guidance risk, all monitoring parameters used to assess the guidance risk are determined, and all monitoring parameters used to assess the safety risk are removed. The remaining monitoring parameters after removal are used as the execution information package for the corresponding guidance risk.

[0037] The risk assessment platform will transmit the execution information package of all the guiding risks to the assessment interaction module;

[0038] After receiving the execution information packet of all the guiding risks, the evaluation interaction module first transmits all the monitoring parameters contained in the execution information packet of all the guiding risks. For all the monitoring parameters contained in the execution information packet of all the guiding risks, the corresponding monitoring values ​​are transmitted in ascending order of their interaction numbers.

[0039] Compared with existing technologies, it has the following advantages:

[0040] This invention uses a data acquisition module to collect real-time monitoring values ​​of several monitoring parameters of the target tunnel, and an evaluation and interaction module to transmit the monitoring values ​​of each monitoring parameter in sequence. The transmission order of the monitoring parameter values ​​is determined by the data analysis module in conjunction with the index scores of each safety risk assessed by the risk assessment platform, as well as the importance of each monitoring parameter and the number of types of safety risks it can be used to analyze. This method makes the consumption of system resources in assessing various safety risks more reasonable and avoids the situation where system resources are prioritized for processing risk data that can be predicted to be safe.

[0041] This invention updates the transmission priority of monitoring parameters by using multi-valued interconnected indicators and guiding sequence values. At the same time, when the indicator score of a certain security risk exceeds the guiding correlation threshold, the monitoring data transmission order of its associated risks within the corresponding interaction period is immediately adjusted. In this way, the monitoring data transmission order is associated with the real-time security risk, reducing the excessive use of system resources by low-risk data when the security risk exceeds the limit. Attached Figure Description

[0042] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Please see Figure 1 This application provides a tunnel construction safety management system, including a data acquisition module, an assessment and interaction module, a risk assessment platform, and a data analysis module;

[0045] The data acquisition module is used to collect monitoring data of the target tunnel in real time and transmit it to the evaluation interaction module. The monitoring data includes the monitoring values ​​of several monitoring parameters. The monitoring parameters are selected by the management personnel based on several types of safety risks identified in the safety risk assessment of the target tunnel construction. The types of safety risks include, but are not limited to, water inrush risk, over-limit risk, seepage failure risk, construction risks of various excavation methods, support failure risk, lining risk, settlement risk, water pollution risk, harmful gas risk, dust and oxygen deficiency risk, etc.

[0046] The assessment interaction module is used to periodically transmit the monitoring data of the target tunnel to the risk assessment platform. The assessment interaction module stores the interaction numbers of several monitoring parameters. The interaction numbers start from the number 1 and proceed sequentially. The smaller the value of the interaction number, the earlier the transmission order of the monitoring value of the corresponding monitoring parameter is. The initial interaction numbers of each monitoring parameter are set by the management personnel according to the importance of each monitoring parameter and the number of types of safety risks it can be used to analyze.

[0047] The evaluation interaction module receives the real-time transmitted monitoring data of the target tunnel and temporarily stores it.

[0048] The assessment interaction module, at each interaction cycle, sequentially transmits all monitoring values ​​of all monitoring parameters temporarily stored in the interaction cycle to the risk assessment platform in ascending order of the interaction number.

[0049] A risk assessment platform is used to periodically assess the construction safety of a target tunnel. The risk assessment platform pre-stores a pre-trained tunnel construction risk assessment model. The tunnel construction risk assessment model is used to assess several types of safety risks during the construction of the target tunnel. During the assessment process, each type of safety risk is scored periodically to obtain an index score for each type of safety risk. The range of index scores is set to [0, 100]. The higher the index score, the greater the probability of occurrence or the greater the potential harm of that type of safety risk.

[0050] In this application, the classification criteria are as follows:

[0051] 0-50 points: Low risk level, routine monitoring and management measures can be maintained;

[0052] 51-80 points: Medium risk level, requiring activation of the early warning mechanism and optimization of the construction plan.

[0053] 81-90 points: High risk level, requiring immediate engineering reinforcement or adjustment of construction techniques;

[0054] Scores of 91-100 indicate an extremely high risk level, requiring construction to be suspended and emergency plans to be activated.

[0055] The risk assessment platform also stores the assessment duration for several types of security risks. The assessment duration is used to limit the time span corresponding to the collection time of the monitoring values ​​of each monitoring parameter required to assess each type of security risk.

[0056] At each evaluation cycle, for any type of safety risk, the risk assessment platform receives all monitoring values ​​of all monitoring parameters used to evaluate the safety risk according to the evaluation time of the safety risk, and inputs them as the evaluation dataset of the safety risk in the evaluation cycle into the tunnel construction risk assessment model to obtain the index score of the safety risk in the evaluation cycle output by the tunnel construction risk assessment model.

[0057] At each evaluation cycle, the risk assessment platform generates risk assessment data for the evaluation cycle based on the obtained index scores of all security risks in the evaluation cycle and stores it in the data analysis module.

[0058] The data analysis module is used to analyze risk assessment data for all assessment periods after the stored risk assessment data reaches a fixed amount. The analysis steps are as follows:

[0059] S11: Label all types of safety risks that can be assessed by the tunnel construction risk assessment model as A1, A2, ..., Aa, where a≥1;

[0060] S12: Establish guiding variables B1, B2, ..., Ba-1 for safety risks A2, A3, ..., Aa under safety risk A1, respectively, where the initial values ​​of guiding variables B1, B2, ..., Ba-1 are all 0;

[0061] S13: Using P1 as the screening score indicator, extract all risk assessment data containing the safety risk A1 with an indicator score greater than or equal to P1 from the data analysis unit, and label them as C1, C2, ..., Cc, where c≥1;

[0062] S14: Assign a value to the guiding variable B1 of safety risk A2 under safety risk A1. The specific assignment is as follows:

[0063] The assessment results of safety risk A2 in the risk assessment data C1, C2, ..., Cc are traversed, and the total number of assessment results containing an indicator score greater than or equal to Z1 is counted. The total number is assigned to the guiding variable B1, where Z1 is a preset guiding score elimination threshold.

[0064] S15: Compare the assigned guiding variables C1 and Z2. If C1 ≥ Z2, then determine that safety risk A2 is the guiding risk of A1 at P1. Use the formula D1 = C1 / c to calculate the guiding weight of safety risk A2 as A1 at P1. This weight represents the proportion of the indicator score of safety risk A1 at P1 that exceeds the indicator score of safety risk A2 at P1. Otherwise, determine that safety risk A2 is not the guiding risk of A1 at P1 and do not perform any processing. Z2 is the preset guiding association screening threshold.

[0065] S16: P2, P3, and P4 are used as screening score indicators in sequence to determine whether safety risk A2 is the guiding risk of A1 at P2, P3, and P4, and the corresponding guiding weight is calculated based on the judgment result.

[0066] Among them, P1, P2, P3, and P4 are the preset first, second, third, and fourth boundary scores, which are set by the management personnel according to the scores of high-risk and extremely high-risk levels in the grading standard. P1, P2, P3, and P4 satisfy the numerical condition that P1>P2>P3>P4.

[0067] It should be noted here that when using P1, P2, P3, and P4 as screening score indicators in steps S13 to S15, if one of them is used as a screening score indicator in the order of P1, P2, P3, and P4, and it is determined that safety risk A2 is not a guiding risk of safety risk A1, then the process of using all remaining indicators as screening score indicators is stopped.

[0068] For example, when P2 is used as the screening score indicator, if it is determined that the safety risk A2 is not the guiding risk of A1, then the process of using P3 and P4 as screening score indicators in the order of P1, P2, P3, and P4 should be stopped.

[0069] S17: Following S12 to S16, P1, P2, P3, and P4 are used as screening score indicators in sequence to determine whether safety risks A3, A4, ..., Aa are the guiding risks of A1 at P1, P2, P3, and P4. Based on the determination results, the corresponding guiding weights are calculated. After the determination is completed, all guiding risks determined to be A1 at P1, P2, P3, and P4 and their guiding weights are obtained.

[0070] Based on the obtained guidance risks and their guidance weights at P1, P2, P3, and P4, a risk guidance table for safety risk A1 is generated. The risk guidance table contains a guidance risk field and a guidance weight field. The guidance risk field stores P1, P2, P3, and P4, and the guidance weight field stores all corresponding guidance risks.

[0071] S18: Generate the risk-oriented tables of safety risks A2, A3, ..., Aa in sequence according to S11 to S17;

[0072] The data analysis module transmits the generated risk-oriented tables of safety risks A1, A2, ..., Aa to the evaluation interaction module and the risk assessment platform respectively;

[0073] After receiving the transmitted risk-oriented tables of safety risks A1, A2, ..., Aa, the risk assessment platform stores them;

[0074] After receiving the transmitted risk-oriented tables of safety risks A1, A2, ..., Aa, the evaluation interaction module updates the interaction numbers of all monitoring parameters stored in the evaluation interaction module according to the preset update rules. The update steps are as follows:

[0075] S21: Extract all the oriented risks and their oriented weights determined as A1 at P1 from the risk-oriented table of safety risk A1. Mark all the obtained oriented risks as D1, D2, ..., Dd respectively, where 1 ≤ d < a. Mark all the obtained oriented weights as E1, E2, ..., Ed respectively. During the marking process, the oriented weights E1, E2, ..., Ed correspond to the oriented risks D1, D2, ..., Dd respectively;

[0076] S22: Use the formula to calculate and obtain the first-level oriented correlation index F1 of A1 at P1. In the formula, ɑ1 and ɑ2 are the preset first and second dimension adjustment factors respectively, which are used to adjust the parameters of different dimensions to the same calculation dimension for numerical calculation. It should be noted here that the first-level oriented correlation index is defined artificially and is used to measure the oriented correlation strength of safety risk A1 at P1 relative to all the oriented risks in its risk-oriented table;

[0077] S23: Calculate and obtain the second-level oriented correlation index F2 of A1 at P1 according to the preset calculation rules. The calculation rules are as follows:

[0078] S231: Extract all the oriented risks and their oriented weights determined as A1 at P1 from the risk-oriented table of oriented risk D1. Mark all the obtained oriented risks as G1, G2, ..., Gg respectively, where 1 ≤ g ≤ a - d. Mark all the obtained oriented weights as H1, H2, ..., Hg respectively; <00,00166>

[0079] S232: Use the formula to calculate and obtain the oriented correlation index I1 of safety risk A1 at P1 relative to oriented risk D1;

[0080] S233; Calculate and obtain the guidance correlation indicators I2, I3, ..., Id of safety risk A1 relative to guidance risks D2, D3, ..., Dd at P1 in sequence according to S231 to S232;

[0081] S234: Utilize formula The secondary guidance correlation index F2 of security risk A1 at P1 is calculated, where a1 and a2 are preset third and fourth dimension adjustment factors, respectively, to adjust the parameters of different dimensions to the same calculation dimension for numerical calculation. It should be noted that the secondary guidance correlation index is artificially defined and is used to measure the guidance correlation strength of security risk A1 at P1 relative to all guidance risks in the guidance risk table in one iteration.

[0082] S24: Calculate and obtain the third, fourth, ..., k1 level guidance correlation indicators F3, F4, ..., Fk1 of safety risk A1 at P1 in sequence according to S23. k1 represents the maximum level of guidance correlation indicators that can be recursively decomposed in the risk guidance table. That is, in the process of extracting guidance risks and calculating characteristic indicators layer by layer, the maximum level can be reached, which is k1.

[0083] S25; Using the formula Calculate the coherence index L1 of safety risk A1 at P1. Here, the coherence index is defined by humans to characterize the comprehensive recursive influence of the guiding association of safety risk A1. In the formula, Ff represents each of the guiding association indices F1, F2, ..., Fk1, and βf is the preset proportion weight of the corresponding guiding association index.

[0084] S26: Calculate the continuity indicators L2, L3, and L4 of safety risk A1 at points P2, P3, and P4 sequentially according to S21 to S25. Then, use the formula M1 = (L1×λ1 + L2×λ2 + L3×λ3 + L4×λ4)×η1 / Z1×η2 to calculate the multi-value continuity indicator M1 of safety risk A1. In the formula, λ1, λ2, λ3, and λ4 are the preset weights at points P1, P2, P3, and P4, respectively. λ1, λ2, λ3, and λ4 are set by management personnel based on the values ​​of P1, P2, P3, and P4. The magnitude relationships of λ1, λ2, λ3, and λ4 are consistent with the magnitude relationships of their corresponding P1, P2, P3, and P4. Z1 is the preset standard transmission capacity of security risk A1. The value of Z1 is preset by the management personnel based on all energy parameters for assessing security risk A1 and the assessment duration of security risk A1. It represents the total data capacity of the monitoring values ​​of all energy parameters for assessing security risk A1. η1 and η2 are preset adjustment factors for the fifth and sixth dimensions, used to adjust parameters of different dimensions to the same calculation dimension for numerical calculation.

[0085] S27: Calculate and obtain the multi-valued interconnected indicators of safety risks A2, A3, ..., Aa in sequence according to S21 to S26, and re-label the safety risks corresponding to the multi-valued interconnected indicators in descending order of value as N1, N2, ..., Na;

[0086] S28: Label all monitoring parameters of the target tunnel collected by the data acquisition module as Q1, Q2, ..., Qq, where q≥1;

[0087] S29: Calculate and obtain the guiding sorting benchmark value of monitoring parameter Q1 according to the preset calculation rules. The calculation rules are as follows:

[0088] S291: Determine whether the monitoring value of monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses safety risk A1. If the tunnel construction risk assessment model requires the monitoring value of monitoring parameter Q1 to assess safety risk A1, then determine the guiding sequence parameter of safety risk A1 related to monitoring parameter Q1 as follows: In the formula, the first 1 in the parentheses is the subscript of security risk A1, R1 is the interaction number of security risk A1 currently stored in the evaluation interaction module, P5 is the preset benchmark constant, and the guiding parameter is defined by the user to characterize the comprehensive ranking parameter quantity of the security risk related to the monitoring parameter based on the multi-value correlation index. Otherwise, no processing is performed.

[0089] S292: Determine whether the monitoring value of monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses safety risk A2. If the tunnel construction risk assessment model requires the monitoring value of monitoring parameter Q1 to assess safety risk A2, then determine the guiding sequence parameter of monitoring parameter Q1 related to safety risk A2 as follows: In the formula, the first 2 inside the parentheses is the subscript of security risk A2, and R2 is the interaction number of security risk A2 currently stored in the evaluation interaction module;

[0090] S293: Determine whether the monitoring value of monitoring parameter Q1 needs to be input when evaluating safety risks A3, A4, ..., Aa in the tunnel construction risk assessment model according to S291 to S292. Based on the determination result, determine the guiding sequence parameter of monitoring parameter Q1 relative to several safety risks.

[0091] S294: When assessing safety risk Aa in the tunnel construction risk assessment model, whether it is necessary to input the monitoring value of monitoring parameter Q1 is determined. After the determination is completed, the guidance sequence parameters of the monitoring parameter Q1 determined at this time relative to all safety risks are obtained and their sum is calculated. The sum is used as the guidance sequence value of monitoring parameter Q1.

[0092] S210: Following S29, the guiding sequence values ​​of monitoring parameters Q2, Q3, ..., Qq are calculated and obtained sequentially. The assessment interaction module then transmits the obtained guiding sequence values ​​of monitoring parameters Q1, Q2, ..., Qq to the risk assessment platform for storage.

[0093] Simultaneously, the interaction numbers of all monitoring parameters currently stored in the evaluation interaction module are updated. During the update process, the interaction numbers of the monitoring parameters corresponding to the largest guiding sequence value are updated in descending order, with the interaction number of the monitoring parameter corresponding to the largest guiding sequence value being 1. The interaction numbers of the monitoring parameters are then updated in descending order to 2, 3, ..., q.

[0094] Example 2 is implemented based on Example 1;

[0095] At each evaluation cycle, for any type of safety risk, the risk assessment platform receives all monitoring values ​​of all monitoring parameters used to evaluate the safety risk according to the evaluation time of the safety risk, and inputs them as the evaluation dataset of the safety risk in the evaluation cycle into the tunnel construction risk assessment model to obtain the index score of the safety risk in the evaluation cycle output by the tunnel construction risk assessment model.

[0096] The indicator score is compared with a preset guidance correlation threshold for the safety risk. If the indicator score is greater than or equal to the guidance correlation threshold, the transmission order of the monitoring values ​​of several monitoring parameters within the evaluation period is adjusted according to preset adjustment steps. The adjustment steps are as follows:

[0097] Obtain all guiding risks of the security risk from the risk guidance table of the security risk within the risk assessment platform;

[0098] For each acquired guidance risk, all monitoring parameters used to assess the guidance risk are determined, and all monitoring parameters used to assess the safety risk are removed. The remaining monitoring parameters after removal are used as the execution information package for the corresponding guidance risk.

[0099] The risk assessment platform will transmit the execution information package of all the guiding risks to the assessment interaction module;

[0100] After receiving the execution information packet of all the guiding risks, the evaluation interaction module first transmits all the monitoring parameters contained in the execution information packet of all the guiding risks. For all the monitoring parameters contained in the execution information packet of all the guiding risks, the corresponding monitoring values ​​are transmitted in ascending order of their interaction numbers.

[0101] Conversely, no action is taken;

[0102] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0103] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A tunnel construction safety management system, characterized in that, include: The evaluation interaction module is used to periodically transmit all the monitoring values ​​of all stored monitoring parameters in ascending order according to the interaction number of each monitoring parameter; The risk assessment platform is used to receive all monitoring values ​​of all monitoring parameters used to assess the safety risk at each assessment cycle, for any type of safety risk selected by the management personnel, according to the preset assessment duration of the safety risk. After receiving all monitoring values, the platform inputs them into the tunnel construction risk assessment model as the assessment dataset of the safety risk in the assessment cycle, and obtains the index score of the safety risk in the assessment cycle output by the tunnel construction risk assessment model. The data analysis module is used to analyze the risk assessment data stored in it for several assessment periods. During the analysis, for any security risk, based on the index scores of several types of security risks contained in the risk assessment data, several security risks are determined from all security risks as the guiding risks of the security risk at P1, P2, P3, and P4 in sequence, and the corresponding guiding weights are calculated. For any security risk, the data analysis module generates a risk guidance table for each security risk based on all guiding risks and their guiding weights determined to be the security risk at P1, P2, P3, and P4, where P1, P2, P3, and P4 are the preset first, second, third, and fourth boundary scores, respectively. After receiving the risk guidance table of several security risks transmitted, the risk assessment platform updates the interaction number of all monitoring parameters stored in the assessment interaction module according to the preset update rules. The risk assessment platform is also used to, after storing a risk guidance table of several security risks, compare the index score of any security risk with a preset guidance association threshold for the security risk at each assessment cycle after obtaining the index score of the security risk in the assessment cycle. If the index score is greater than or equal to the guidance association threshold, the transmission order of the monitoring values ​​of several monitoring parameters is adjusted in the assessment cycle according to preset adjustment steps; otherwise, no processing is performed.

2. The tunnel construction safety management system according to claim 1, characterized in that, It also includes a data acquisition module, which is used to collect monitoring data of the target tunnel in real time and transmit it to the evaluation and interaction module for storage. The monitoring data includes the monitoring values ​​of several monitoring parameters.

3. The tunnel construction safety management system according to claim 1, characterized in that, The evaluation interaction module stores the interaction numbers of several monitoring parameters. The interaction numbers start from the number 1 and proceed sequentially. The smaller the value of the interaction number, the earlier the transmission order of the monitoring value of the corresponding monitoring parameter.

4. The tunnel construction safety management system according to claim 1, characterized in that, The data analysis module generates a risk guidance table for each security risk based on all guiding risks identified as security risks at points P1, P2, P3, and P4, and their guiding weights, using the following steps: S11: Label all types of safety risks that can be assessed by the tunnel construction risk assessment model as A1, A2, ..., Aa, where a≥1; S12: Respectively establish guiding variables B1, B2, ..., Ba-1 for safety risks A2, A3, ..., Aa under safety risk A1, where the initial values of the guiding variables B1, B2, ..., Ba-1 are all 0; S13: Take P1 as the screening score index, and extract all risk assessment data C1, C2, ..., Cc, where c≥1, from the data analysis unit whose included safety risk A1 index score is greater than or equal to P1; S14: Assign a value to the guiding variable B1 of safety risk A2 under safety risk A1: Traverse the evaluation result data of safety risk A2 in the risk assessment data C1, C2, ..., Cc, and count the total number of evaluation result data whose included index score is greater than or equal to Z1, and assign the total number to the guiding variable B1, where Z1 is a preset guiding score exclusion threshold; S15: Compare the size of the assigned guiding variable C1 and Z2. If C1≥Z2, then determine that safety risk A2 is the guiding risk of A1 at P1, and use the formula D1 = C1 / c to calculate and obtain the guiding weight of safety risk A2 as A1 at P1. Otherwise, do nothing. Z2 is a preset guiding association screening threshold; S16: Take P2, P3, and P4 as the screening score indexes in turn to determine whether safety risk A2 is the guiding risk of A1 at P2, P3, and P4, and calculate the corresponding guiding weights based on the determination results, where P1, P2, P�3, and P4 are the preset first, second, third, and fourth boundary scores in turn; S17: According to S12 to S16, take P1, P2, P3, and P4 as the screening score indexes in turn to determine whether safety risks A3, A4, ..., Aa are the guiding risks of A1 at P1, P2, P3, and P4, calculate the corresponding guiding weights based on the determination results, and after determination, obtain all the guiding risks determined to be A1 at P1, P2, P3, and P4 and their guiding weights and generate a risk guidance table for safety risk A1; S18: Generate risk guidance tables for safety risks A2, A3, ..., Aa in turn according to S11 to S17.

5. A tunnel construction safety management system according to claim 4, characterized in that, The update steps for updating the interaction numbers of all monitoring parameters stored in the evaluation interaction module are as follows: S21: Extract all the guiding risks determined to be A1 at P1 and their guiding weights from the risk guidance table of safety risk A1, mark all the obtained guiding risks as D1, D2, ..., Dd, where 1≤d<a, and mark all the obtained guiding weights as E1, E2, ..., Ed; S22: Utilize the formula Calculate and obtain the first-level guidance correlation index F1 of A1 at P1, where a1 and a2 are preset first and second dimension adjustment factors, respectively. The first-level guidance correlation index is defined by humans and is used to measure the guidance correlation strength of safety risk A1 relative to all guidance risks in its guidance risk table at P1. S23: Calculate and obtain the secondary guiding association index F2 of A1 at P1 according to the preset calculation rules; S24: Calculate and obtain the third, fourth, ..., k1-level guiding association indexes F3, F4, ..., Fk1 of safety risk A1 at P1 in turn according to S23, where k1 represents the maximum number of levels of the guiding association indexes that can be recursively decomposed in the risk guidance table; S25; Using the formula Calculate the coherence index L1 of safety risk A1 at P1. The coherence index is defined by humans to characterize the comprehensive recursive influence of the guiding association of safety risk A1. In the formula, Ff represents each of the guiding association indices F1, F2, ..., Fk1, and βf is the preset proportion weight of the corresponding guiding association index. S26: Calculate and obtain the continuity indicators L2, L3, and L4 of security risk A1 at P2, P3, and P4 in sequence according to S21 to S25, and use the formula M1=(L1×λ1+L2×λ2+L3×λ3+L4×λ4)×η1 / Z1×η2 to obtain the multi-value continuity indicator M1 of security risk A1. In the formula, λ1, λ2, λ3, and λ4 are the preset proportion weights at P1, P2, P3, and P4, respectively, Z1 is the preset standard transmission capacity of security risk A1, and η1 and η2 are the preset fifth and sixth dimension adjustment factors. S27: Calculate and obtain the multi-valued interconnected indicators of safety risks A2, A3, ..., Aa in sequence according to S21 to S26, and re-label the safety risks corresponding to the multi-valued interconnected indicators in descending order of value as N1, N2, ..., Na; S28: Label all monitoring parameters of the target tunnel collected by the data acquisition module as Q1, Q2, ..., Qq, where q≥1; S29: Calculate the guiding sorting baseline value of monitoring parameter Q1 according to the preset calculation rules. Similarly, calculate the guiding sequence values ​​of monitoring parameters Q2, Q3, ..., Qq in sequence. Update the interaction numbers of all monitoring parameters currently stored in the evaluation interaction module. During the update process, the interaction number of the monitoring parameter corresponding to the largest guiding sequence value is 1, and the interaction numbers of the corresponding monitoring parameters are updated to 2, 3, ..., q in descending order.

6. A tunnel construction safety management system according to claim 5, characterized in that, S23, The calculation rules for obtaining the secondary guided correlation index F2 of A1 at P1 are as follows: S231: Extract all guiding risks and their guiding weights that are determined to be A1 at P1 from the risk guidance table of guiding risk D1. Mark all the obtained guiding risks as G1, G2, ..., Gg, 1≤g≤ad, and mark all the obtained guiding weights as H1, H2, ..., Hg respectively. S232: Using the formula Calculate and obtain the guidance correlation index I1 of safety risk A1 relative to guidance risk D1 at P1; S233; Calculate and obtain the guidance correlation indicators I2, I3, ..., Id of safety risk A1 relative to guidance risks D2, D3, ..., Dd at P1 in sequence according to S231 to S232; S234: Utilize formula The secondary guidance correlation index F2 of security risk A1 at P1 is calculated, where a1 and a2 are preset adjustment factors of the third and fourth dimensions, respectively, to adjust the parameters of different dimensions to the same calculation dimension for numerical calculation. It should be noted that the secondary guidance correlation index is artificially defined to measure the guidance correlation strength of security risk A1 at P1 relative to all guidance risks in the guidance risk table in one iteration.

7. A tunnel construction safety management system according to claim 5, characterized in that, S29, The calculation rules for obtaining the guiding ranking benchmark value of monitoring parameter Q1 are as follows: S291: Determine whether the monitoring value of monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses safety risk A1. If the tunnel construction risk assessment model requires the monitoring value of monitoring parameter Q1 to assess safety risk A1, then determine the guiding sequence parameter of safety risk A1 related to monitoring parameter Q1 as follows: In the formula, the first 1 in the parentheses is the subscript of security risk A1, R1 is the interaction number of security risk A1 currently stored in the evaluation interaction module, P5 is the preset benchmark constant, and the guiding parameter is defined by the user to characterize the comprehensive ranking parameter quantity of the security risk related to the monitoring parameter based on the multi-value correlation index. Otherwise, no processing is performed. S292: Determine whether the monitoring value of monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses safety risk A2. If the tunnel construction risk assessment model requires the monitoring value of monitoring parameter Q1 to assess safety risk A2, then determine the guiding sequence parameter of monitoring parameter Q1 related to safety risk A2 as follows: In the formula, the first 2 inside the parentheses is the subscript of security risk A2, and R2 is the interaction number of security risk A2 currently stored in the evaluation interaction module; S293: Determine whether the monitoring value of monitoring parameter Q1 needs to be input when evaluating safety risks A3, A4, ..., Aa in the tunnel construction risk assessment model according to S291 to S292. Based on the determination result, determine the guiding sequence parameter of monitoring parameter Q1 relative to several safety risks. S294: When assessing safety risk Aa in the tunnel construction risk assessment model, after determining whether the monitoring value of monitoring parameter Q1 needs to be input, obtain the guidance sequence parameters of the monitoring parameter Q1 determined at this time relative to all safety risks and calculate their sum, and use the sum as the guidance sequence value of monitoring parameter Q1.

8. A tunnel construction safety management system according to claim 1, characterized in that, The steps for adjusting the transmission order of monitoring values ​​for several monitoring parameters during the evaluation period are as follows: Retrieve all the guiding risks of the security risk from the risk guidance table of the security risk; For each acquired guidance risk, all monitoring parameters used to assess the guidance risk are determined, and all monitoring parameters used to assess the safety risk are removed. The remaining monitoring parameters after removal are used as the execution information package for the corresponding guidance risk. The risk assessment platform will transmit the execution information package of all the guiding risks to the assessment interaction module; After receiving the execution information packet of all the guiding risks, the evaluation interaction module first transmits all the monitoring parameters contained in the execution information packet of all the guiding risks. For all the monitoring parameters contained in the execution information packet of all the guiding risks, the corresponding monitoring values ​​are transmitted in ascending order of their interaction numbers.

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