Tunnel construction safety management system

Abstract

The invention discloses a tunnel construction safety management system, and relates to the technical field of tunnel safety assessment, a data acquisition module is arranged to acquire monitoring values of a plurality of monitoring parameters of a target tunnel in real time, and an assessment interaction module is arranged to transmit the monitoring values of the monitoring parameters in sequence; the transmission sequence is jointly determined by the index score of each security risk evaluated by the data analysis module in combination with the risk evaluation platform, the importance of each monitoring parameter and the quantity of the monitoring parameters which can be used for analyzing the security risk types, and the transmission priority of the monitoring parameters is updated through a multi-valued continuous index and a guiding sequence value. Meanwhile, when the index score of a certain security risk exceeds the guiding association 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 security risk, and excessive system resources occupied by low-risk data when the security risk is assessed to exceed the limit are 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 configured to, for each interval of an evaluation period, input, into a tunnel construction risk assessment model, all monitoring values of all monitoring parameters for evaluating a selected safety risk of any type selected by a manager as an evaluation data set of the safety risk in the evaluation period, after all monitoring values of all monitoring parameters for evaluating the safety risk are received according to a preset evaluation time length of the safety risk, and obtain an index score of the safety risk in the evaluation period output by the tunnel construction risk assessment model.

[0009] The data analysis module is configured to analyze risk assessment data of several evaluation periods stored therein, and, for any safety risk, determine several safety risks from all safety risks as guided risks of the safety risk in P1, P2, P3, and P4 in sequence according to index scores of several safety risks contained in the risk assessment data, and calculate corresponding guide weights.

[0010] For any safety risk, the data analysis module generates a risk guide table of each safety risk according to all guided risks of the safety risk in P1, P2, P3, and P4 and guide weights thereof, wherein P1, P2, P3, and P4 are preset first, second, third, and fourth limit scores in sequence.

[0011] The risk assessment platform updates interaction numbers of all monitoring parameters stored in the evaluation interaction module according to a preset update rule after receiving the transmitted risk guide tables of several safety risks.

[0012] The risk assessment platform is further configured to, after storing the risk guide tables of several safety risks, for each interval of an evaluation period, for any safety risk, compare an index score of the safety risk in the evaluation period with a preset guide correlation threshold value of the safety risk, and if the index score is greater than or equal to the guide correlation threshold value, adjust a transmission order of monitoring values of several monitoring parameters in the evaluation period according to a preset adjustment step, and otherwise, do not perform any processing.

[0013] Further, the data collection module is further configured to collect monitoring data of a target tunnel in real time and transmit the monitoring data to the evaluation interaction module for storage, and the monitoring data contains monitoring values of several monitoring parameters.

[0014] Further, the evaluation interaction module stores interaction numbers of several monitoring parameters, and the interaction numbers are sequentially extended from number 1, and the smaller the value of the interaction number, the earlier the transmission order of the monitoring values of the corresponding monitoring parameter.

[0015] Further, the data analysis module generates a risk orientation table for each safety risk according to the determination of all the oriented risks and their orientation weights of the safety risk at P1, P2, P3, and P4 as follows:

[0016] S11: All the safety risks that can be evaluated by the tunnel construction risk assessment model are marked as A1, A2,..., Aa, a≥1, respectively;

[0017] S12: The orientation variables B1, B2,..., Ba-1 of the safety risks A2, A3,..., Aa under the safety risk A1 are established respectively, wherein the initial values of the orientation variables B1, B2,..., Ba-1 are all 0;

[0018] S13: P1 is taken as a screening score index, and all the risk assessment data C1, C2,..., Cc, c≥1 containing the safety risk A1 with an index score greater than or equal to P1 are extracted from the data analysis unit;

[0019] S14: The orientation variable B1 of the safety risk A2 under the safety risk A1 is assigned a value: the evaluation result data of the safety risk A2 in the risk assessment data C1, C2,..., Cc is traversed, the total number of the evaluation result data containing an index score greater than or equal to Z1 is counted, and the total number is assigned to the orientation variable B1, Z1 being a preset orientation score exclusion threshold;

[0020] S15: The assigned orientation variable C1 and Z2 are compared in size, if C1≥Z2, it is determined that the safety risk A2 is the oriented risk of A1 at P1, the orientation weight of the safety risk A2 as A1 at P1 is calculated by using the formula D1=C1 / c, otherwise, no processing is performed, Z2 being a preset orientation correlation screening threshold;

[0021] S16: P2, P3, and P4 are taken as screening score indexes in turn, and it is determined whether the safety risk A2 is the oriented risk of A1 at P2, P3, and P4, and the corresponding orientation weight is calculated based on the determination result, wherein P1, P2, P3, and P4 are preset first, second, third, and fourth limit scores in turn;

[0022] S17: According to S12 to S16, P1, P2, P3, and P4 are taken as screening score indexes in turn, it is determined whether the safety risks A3, A4,..., Aa are the oriented risks of A1 at P1, P2, P3, and P4, and the corresponding orientation weight is calculated based on the determination result, and after the determination is completed, all the oriented risks and their orientation weights of A1 at P1, P2, P3, and P4 are obtained and a risk orientation table of the safety risk A1 is generated;

[0023] S18: generate the risk-oriented table of the safety risk A2, A3,..., Aa in sequence according to S11 to S17.

[0024] Further, the updating step of updating the interaction number of all monitoring parameters stored in the evaluation interaction module is as follows:

[0025] S21: extract all oriented risks and their oriented weights of A1 at P1 from the risk-oriented table of the safety risk A1, and mark all the obtained oriented risks as D1, D2,..., Dd, 1≤d

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

[0027] S23: calculate the second-level oriented correlation index F2 of A1 at P1 according to the preset calculation rule;

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

[0029] S25: calculate the continuity index L1 of the safety risk A1 at P1 using the formula , wherein Ff represents each of the oriented correlation indexes F1, F2,..., Fk1, and βf is a preset proportion weight corresponding to the oriented correlation index;

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

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

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

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

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

[0035] Obtain all directed risks of the security risk from the risk directed table of the security risk;

[0036] For each obtained guiding risk, determine all monitoring parameters used to evaluate the guiding risk, remove all monitoring parameters used to evaluate the security risk, and use all remaining monitoring parameters as the execution information package corresponding to the guiding risk;

[0037] The risk assessment platform transmits all the acquired risk-oriented execution information packages to the assessment interaction module;

[0038] After receiving the execution information packages of all the risk-oriented signals, the evaluation interaction module preferentially transmits all the monitoring parameters contained in the execution information packages of all the risk-oriented signals. For all the monitoring parameters contained in the execution information packages of all the risk-oriented signals, all the corresponding monitoring values ​​are transmitted in ascending order according to their interaction numbers.

[0039] Compared with the existing technology, it has the following beneficial effects:

[0040] The application acquires the monitoring values of the monitoring parameters of the target tunnel in real time through the data acquisition module, and the evaluation interaction module sequentially transmits the monitoring values of the monitoring parameters, and the transmission sequence of the monitoring values of the monitoring parameters is determined by the index scores of the safety risks evaluated by the data analysis module in combination with the risk evaluation platform, the importance of the monitoring parameters, and the number of the monitoring parameters that can be used to analyze the safety risk types, so that the system resource consumption in evaluating various safety risks is more reasonable, and the occurrence of the system resource consumption on the risk data processing that can be predicted is avoided.

[0041] The application updates the transmission priority of the monitoring parameters through the multi-value continuous index and the guiding sequence value, and immediately adjusts the transmission sequence of the monitoring data of the associated risks in the corresponding interaction period when the index score of a certain safety risk exceeds the guiding correlation threshold value, so that the monitoring data transmission sequence is associated with the real-time safety risk, and the system resource occupied by the low-risk data when the safety risk exceeds the limit is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 The figure is a system block diagram of the application. DETAILED DESCRIPTION

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

[0044] Please refer to Figure 1 The application provides a tunnel construction safety management system, which comprises a data acquisition module, an evaluation interaction module, a risk evaluation platform, and a data analysis module.

[0045] The data acquisition module is used for acquiring monitoring data of a target tunnel in real time and transmitting the monitoring data to the evaluation interaction module, and the monitoring data comprises monitoring values of a plurality of monitoring parameters.

[0046] The evaluation interaction module is configured to periodically transmit the monitoring data of the target tunnel to a risk evaluation platform, and the evaluation interaction module stores interaction numbers of the monitoring parameters, wherein the interaction numbers are sequentially arranged from 1 onwards, and the smaller the interaction number, the earlier the corresponding monitoring parameter is transmitted; the initial interaction numbers of the monitoring parameters are set by the manager according to the importance of the monitoring parameters and the number of the monitoring parameters that can be used to analyze the security risks;

[0047] The evaluation interaction module temporarily stores the monitoring data of the target tunnel transmitted in real time;

[0048] The evaluation interaction module is configured to, at each interaction period, sequentially transmit all the monitoring values of all the monitoring parameters temporarily stored in the interaction period to the risk evaluation platform in the order of the interaction numbers from small to large;

[0049] The risk evaluation platform is configured to periodically evaluate the construction safety of the target tunnel, and the risk evaluation platform pre-stores a trained tunnel construction risk evaluation model, wherein the tunnel construction risk evaluation model is used to evaluate several types of security risks in the construction process of the target tunnel, and the index score of each type of security risk is obtained by periodically scoring each type of security risk during the evaluation process, and the value range of the index score is set to [0, 100], wherein the higher the value of the index score, the higher the probability of occurrence or the degree of potential harm of the security risk;

[0050] In the present application, the grading standards are as follows:

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

[0052] 51-80 points: medium risk level, the pre-warning mechanism needs to be started and the construction scheme needs to be optimized

[0053] 81-90 points: high risk level, immediate engineering reinforcement or construction process adjustment measures need to be taken;

[0054] 91-100 points: extremely high risk level, construction needs to be suspended and emergency plan needs to be started;

[0055] The risk evaluation platform also stores the evaluation time lengths of the several types of security risks, and the evaluation time lengths are used to limit the time span of the collection time of the monitoring value of each monitoring parameter for evaluating each type of security risk;

[0056] Every interval of an evaluation period, for any one kind of safety risk, the risk assessment platform receives all monitoring values of all monitoring parameters completely used to evaluate the safety risk according to the evaluation time length of the safety risk, and inputs the safety risk as the evaluation data set of the safety risk in the evaluation period into the tunnel construction risk assessment model, and obtains the index score of the safety risk in the evaluation period output by the tunnel construction risk assessment model;

[0057] Every interval of an evaluation period, the risk assessment platform generates risk assessment data of the evaluation period according to the index score of all safety risks in the evaluation period, and stores the risk assessment data into the data analysis module;

[0058] The data analysis module is used for analyzing all risk assessment data of all evaluation periods in the data analysis module after the risk assessment data stored in the data analysis module reaches a fixed amount, and the analysis steps are as follows:

[0059] S11: all kinds of safety risks that can be evaluated by the tunnel construction risk assessment model are respectively marked as A1, A2,..., Aa, and a≥1;

[0060] S12: the guide variables B1, B2,..., Ba-1 of the safety risks A2, A3,..., Aa under the safety risk A1 are respectively established, and the initial values of the guide variables B1, B2,..., Ba-1 are all 0;

[0061] S13: P1 is taken as a screening score index, all risk assessment data containing the index score of the safety risk A1 greater than or equal to P1 are extracted from the data analysis unit, and are respectively marked as C1, C2,..., Cc, and c≥1;

[0062] S14: the guide variable B1 of the safety risk A2 under the safety risk A1 is valued, and the value content is as follows:

[0063] The evaluation result data of the safety risk A2 in the risk assessment data C1, C2,..., Cc are traversed, the total number of the evaluation result data containing the index score greater than or equal to Z1 is counted, and the total number is valued to the guide variable B1, and Z1 is a preset guide value exclusion threshold;

[0064] S15: The assigned guide variable C1 and Z2 are compared in size, if C1≥Z2, it is determined that the safety risk A2 is the guide risk of A1 at P1, the guide weight of the safety risk A2 is calculated by the formula D1=C1 / c, which is used to represent the proportion of the index score of the safety risk A1 at P1 whose index score exceeds Z2, otherwise, it is determined that the safety risk A2 is not the guide risk of A1 at P1, and no processing is performed, Z2 is a preset guide correlation screening threshold;

[0065] S16: P2, P3, and P4 are sequentially used as screening score indicators to determine whether the safety risk A2 is the guide risk of A1 at P2, P3, and P4, and the corresponding guide weight is calculated based on the determination result;

[0066] Wherein, P1, P2, P3, and P4 are preset first, second, third, and fourth limit scores, which are set by the management personnel according to the scores of the high-risk level and the extremely high-risk level in the grading standard, and P1, P2, P3, and P4 satisfy P1>P2>P3>P4 in numerical value;

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

[0068] For example, when P2 is used as a screening score indicator, it is determined that the safety risk A2 is not the guide risk of A1, and at this time, the process of sequentially using P3 and P4 as screening score indicators is stopped according to the order of P1, P2, P3, and P4;

[0069] S17: According to S12 to S16, P1, P2, P3, and P4 are sequentially used as screening score indicators to determine whether the safety risks A3, A4,..., and Aa are the guide risks of A1 at P1, P2, P3, and P4, and the corresponding guide weight is calculated based on the determination result, and after the determination is completed, all the guide risks and their guide weights of A1 at P1, P2, P3, and P4 are obtained;

[0070] According to the guide risks and their guide weights of A1 at P1, P2, P3, and P4, a risk guide table of the safety risk A1 is generated, which includes a guide risk field and a guide weight field, P1, P2, P3, and P4 are stored in the guide risk field, and all the guide risks are stored in the guide weight field;

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

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

[0073] The risk evaluation platform stores the transmitted risk-oriented table of the safety risks A1, A2,..., Aa after receiving it;

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

[0075] S21: extracting all the oriented risks and their oriented weights of A1 at P1 from the risk-oriented table of A1, marking all the obtained oriented risks as D1, D2,..., Dd, 1≤d

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

[0077] S23: calculating the second-level oriented correlation index F2 of A1 at P1 according to the preset calculation rule, and the calculation rule is as follows:

[0078] S231: extracting all the oriented risks and their oriented weights of A1 at P1 from the risk-oriented table of D1, marking all the obtained oriented risks as G1, G2,..., Gg, 1≤g

[0079] S232: calculating the oriented correlation index I1 of the safety risk A1 at P1 relative to the oriented risk D1 by using the formula ;

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

[0081] S234: Utilize formula Calculate and obtain the secondary guidance correlation index F2 of the safety risk A1 at P1. In the formula, ɑ1 and ɑ2 are the preset third and fourth 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 secondary guidance correlation index is artificially defined and is used to measure the guidance correlation strength of the safety risk A1 at P1 relative to all the 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 the security risk A1 at P1 in sequence according to S23, where k1 represents the maximum number of guidance correlation indicators that can be recursively decomposed in the risk guidance table, that is, by extracting guidance risks layer by layer and calculating characteristic indicators, the process can be carried out up to the k1-th level at most;

[0083] S25; Using formula Calculate and obtain the coherence index L1 of security risk A1 at P1. The coherence index is artificially defined to represent the comprehensive recursive impact of the guidance association of security risk A1. In the formula, Ff represents each of the guidance association indicators F1, F2, ..., Fk1, and βf is the preset weight of the corresponding guidance association indicator.

[0084] S26: Calculate the coherence indexes L2, L3, and L4 of the 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 calculate the multi-valued coherence index M1 of the security risk A1. In the formula, λ1, λ2, λ3, and λ4 are the preset weights at P1, P2, P3, and P4 respectively. λ1, λ2, λ3, and λ4 are set by the management personnel according to the values ​​of P1, P2, P3, and P4. , the size relationship between λ1, λ2, λ3 and λ4 is consistent with the size relationship between 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 evaluating security risk A1 and the evaluation time of security risk A1. It is expressed as the sum of the data capacity of the monitoring values ​​of all energy parameters for evaluating security risk A1. η1 and η2 are the preset fifth and sixth dimension adjustment factors, which are used to adjust the parameters of different dimensions to the same calculation dimension for numerical calculation;

[0085] S27: Calculate the multi-value continuity indicators of the safety risks A2, A3,..., Aa in turn according to S21 to S26, and re-label the safety risks corresponding to the multi-value continuity indicators in the order from large to small, and mark them as N1, N2,..., Na;

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

[0087] S29: Calculate the guiding sequence parameter value of the monitoring parameter Q1 according to the preset calculation rule, and the calculation rule is as follows:

[0088] S291: Determine whether the monitoring value of the monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses the safety risk A1, and if the monitoring value of the monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses the safety risk A1, the guiding sequence parameter of the safety risk A1 related to the monitoring parameter Q1 is determined as In the formula, the first 1 in the brackets is the mark subscript of the safety risk A1, R1 is the interaction number of the safety risk A1 currently stored in the evaluation interaction module, P5 is a preset reference bit constant, the guiding parameter is artificially defined to represent the comprehensive sorting parameter of the monitoring parameter related safety risk based on the multi-value correlation indicator, and vice versa. No processing is done;

[0089] S292: Determine whether the monitoring value of the monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses the safety risk A2, and if the monitoring value of the monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses the safety risk A2, the guiding sequence parameter of the safety risk A2 related to the monitoring parameter Q1 is determined as In the formula, the first 2 in the brackets is the mark subscript of the safety risk A2, and R2 is the interaction number of the safety risk A2 currently stored in the evaluation interaction module;

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

[0091] S294: After determining whether the monitoring value of the monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses the safety risk Aa, the guiding sequence parameter of the monitoring parameter Q1 relative to all safety risks is determined and the sum thereof is calculated, and the sum is taken as the guiding sequence value of the monitoring parameter Q1;

[0092] S210: sequentially calculate the guide sequence values of the monitoring parameters Q2, Q3,..., Qq according to S29, and the evaluation interaction module transmits the guide sequence values of the obtained monitoring parameters Q1, Q2,..., Qq to the risk evaluation platform for storage;

[0093] At the same time, the interaction numbers of all the monitoring parameters currently stored in the evaluation interaction module are updated. During the updating process, the interaction numbers of the monitoring parameters corresponding to the guide sequence values from large to small are 1, and the subsequent interaction numbers of the corresponding monitoring parameters are updated to 2, 3,..., q in descending order;

[0094] In embodiment two, on the basis of embodiment one;

[0095] Every interval, for any one kind of safety risk, the risk evaluation platform receives all monitoring values of all monitoring parameters used to evaluate the safety risk according to the evaluation time length of the safety risk, and inputs them as the evaluation data set of the safety risk in the evaluation period into the tunnel construction risk evaluation model, to obtain the index score of the safety risk in the evaluation period output by the tunnel construction risk evaluation model;

[0096] The index score and the preset guide correlation threshold value of the safety risk are compared in size, and if the index score is greater than or equal to the guide correlation threshold value, the transmission order of the monitoring values of a plurality of monitoring parameters is adjusted in the evaluation period according to the preset adjustment steps, and the adjustment steps are as follows:

[0097] From the risk guide table of the safety risk in the risk evaluation platform, all guide risks of the safety risk are obtained;

[0098] For each guide risk obtained, all monitoring parameters used to evaluate the guide risk are determined, and all monitoring parameters used to evaluate the safety risk are removed therefrom, and the remaining all monitoring parameters after removal are used as the execution information package of the corresponding guide risk;

[0099] The risk evaluation platform transmits the obtained execution information package of all guide risks to the evaluation interaction module;

[0100] After the evaluation interaction module receives the transmission of the execution information package of all guide risks, it preferentially transmits all monitoring parameters contained in the execution information package of all guide risks, and for all monitoring parameters contained in the execution information package of all guide risks, all monitoring values corresponding thereto are transmitted in order from small to large according to their interaction numbers;

[0101] On the contrary, no processing is performed;

[0102] Some data in the above formula are dimensionless for numerical calculation, and the contents not described in detail in the specification are all prior art known by those skilled in the art.

[0103] The above examples are only used to illustrate the technical method of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A tunnel construction safety management system, characterized in that: include: An evaluation interaction module is used to periodically transmit all stored monitoring values ​​of all monitoring parameters in ascending order of interaction numbers of the monitoring parameters; The risk assessment platform is configured to, at each assessment period, receive all monitored values ​​of all monitoring parameters used to assess any type of safety risk selected for assessment by the management personnel, based on a preset assessment duration for the safety risk, input the values ​​as an assessment data set for the safety risk in the assessment period into a tunnel construction risk assessment model, and obtain an indicator score for the safety risk in the assessment period output by the tunnel construction risk assessment model; The data analysis module is used to analyze the risk assessment data of several assessment cycles stored therein. During the analysis process, for any security risk, based on the indicator 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 guidance risks and their guidance weights determined for the security risk at P1, P2, P3, and P4, where P1, P2, P3, and P4 are the preset first, second, third, and fourth threshold scores, respectively; After receiving the risk-oriented table of several security risks transmitted, the risk assessment platform updates the interaction numbers of all monitoring parameters stored in the assessment interaction module according to the preset update rules; The risk assessment platform is also used to store a risk guidance table for several security risks. At each assessment period, for any type of security risk, the risk assessment platform obtains the index score of the security risk in the assessment period and compares the index score with the preset guidance association threshold of the security risk. 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 within the assessment period is adjusted according to the preset adjustment steps; otherwise, no processing is performed.

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

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

4. A tunnel construction safety management system according to claim 1, characterized in that: The steps of the data analysis module generating a risk orientation table for each security risk based on all the orientation risks and their orientation weights determined for the security risk at P1, P2, P3, and P4 are as follows: S11: Mark 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 index scores of the included safety risk A1 are 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 assessment result data of safety risk A2 in the risk assessment data C1, C2, ..., Cc, count the total number of assessment result data whose included index scores are 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 calculate and obtain the guiding weight of safety risk A2 as A1 at P1 using the formula D1 = C1 / c. 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 and obtain the corresponding guiding weights based on the determination results, where P1, P2, P3, 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 and obtain the corresponding guiding weights based on the determination results, and after determination, obtain all the guiding risks determined to be of A1 at P1, P2, P3, and P4 and their guiding weights and generate a risk guiding table for safety risk A1; S18: Generate risk guiding 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 of A1 at P1 and their guiding weights from the risk guiding 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 ɑ1 and ɑ2 are the preset first and second dimension adjustment factors respectively. The first-level guidance correlation index is artificially defined to measure the guidance correlation strength of the safety risk A1 at P1 relative to all the guidance risks in its guidance risk table; 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 level of the guiding association indexes that can be recursively decomposed in the risk guiding table; S25; Using formula Calculate and obtain the coherence index L1 of security risk A1 at P1. The coherence index is artificially defined to represent the comprehensive recursive impact of the guidance association of security risk A1. In the formula, Ff represents each of the guidance association indicators F1, F2, ..., Fk1, and βf is the preset weight of the corresponding guidance association indicator; S26: Calculate the coherence indexes L2, L3, and L4 of security risk A1 at P2, P3, and P4 in sequence according to S21 to S25, and calculate the multi-valued coherence index M1 of security risk A1 using the formula M1 = (L1×λ1+L2×λ2+L3×λ3+L4×λ4)×η1 / Z1×η2, where λ1, λ2, λ3, and λ4 are the preset 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 multi-valued coherent indicators of security risks A2, A3, ..., Aa in sequence according to S21 to S26, and re-label the security risks corresponding to the multi-valued coherent indicators in descending order of value, labeling them as N1, N2, ..., Na; S28: Mark all monitoring parameters of the target tunnel collected by the data collection module as Q1, Q2, ..., Qq, where q≥1; S29: Calculate and obtain the directional ranking reference value of the monitoring parameter Q1 according to the preset calculation rules. Similarly, calculate and obtain the directional sequence values ​​of the monitoring parameters Q2, Q3, ..., Qq in sequence. Update the interaction numbers of all monitoring parameters currently stored in the evaluation interaction module. During the updating process, the interaction number of the monitoring parameter corresponding to the directional sequence value with the largest numerical value is 1, and then the interaction numbers of the corresponding monitoring parameters are updated in descending order to 2, 3, ..., q.

6. A tunnel construction safety management system according to claim 5, characterized in that: S23, calculate the secondary guidance correlation index F2 of A1 at P1 according to the following calculation rules: S231: Extract all guiding risks determined as A1 at P1 and their guiding weights from the risk guiding table of guiding risk D1, label all the obtained guiding risks as G1, G2, ..., Gg, 1≤g≤ad, and label all the obtained guiding weights as H1, H2, ..., Hg; S232: Using formula Calculate and obtain the guidance correlation index I1 of the safety risk A1 relative to the guidance risk D1 at P1; S233: Calculate and obtain the guidance correlation indicators I2, I3, ..., Id of the safety risk A1 relative to the guidance risks D2, D3, ..., Dd at P1 in sequence according to S231 to S232; S234: Utilize formula Calculate and obtain the secondary guidance correlation index F2 of the safety risk A1 at P1, where ɑ1 and ɑ2 are the preset third and fourth 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 secondary guidance correlation index is artificially defined to measure the guidance correlation strength of the safety risk A1 at P1 relative to all the 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 rule for obtaining the guidance ranking reference value of the monitoring parameter Q1 is as follows: S291: Determine whether the monitoring value of the monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses the safety risk A1. During the determination process, if the tunnel construction risk assessment model assesses the safety risk A1 and the monitoring value of the monitoring parameter Q1 needs to be input, then determine the guidance sequence parameter of the safety risk A1 related to the monitoring parameter Q1 as follows: In the formula, the first 1 in the brackets is the subscript of the security risk A1, R1 is the interaction number of the security risk A1 currently stored in the assessment interaction module, P5 is the preset reference constant, and the guiding parameter is manually defined to represent 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 the monitoring parameter Q1 needs to be input when the tunnel construction risk assessment model assesses the safety risk A2. During the determination process, if the tunnel construction risk assessment model assesses the safety risk A2 and the monitoring value of the monitoring parameter Q1 needs to be input, then determine the guidance sequence parameter of the safety risk A2 related to the monitoring parameter Q1 as follows: The first 2 in the brackets in the formula is the subscript of the security risk A2, and R2 is the interaction number of the security risk A2 currently stored in the evaluation interaction module; S293: determining whether it is necessary to input a monitoring value of the monitoring parameter Q1 when evaluating the safety risks A3, A4, ..., Aa using the tunnel construction risk assessment model in sequence according to S291 to S292, and determining a guidance sequence parameter of the monitoring parameter Q1 relative to the plurality of safety risks based on the determination result; S294: After determining whether it is necessary to input the monitoring value of the monitoring parameter Q1 when evaluating the safety risk Aa of the tunnel construction risk assessment model, 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 the 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 the monitoring values ​​of several monitoring parameters within the evaluation period are as follows: Obtain all directed risks of the security risk from the risk directed table of the security risk; For each obtained guiding risk, determine all monitoring parameters used to evaluate the guiding risk, remove all monitoring parameters used to evaluate the security risk, and use all remaining monitoring parameters as the execution information package corresponding to the guiding risk; The risk assessment platform transmits all the acquired risk-oriented execution information packages to the assessment interaction module; After receiving the execution information packages of all the risk-oriented signals, the evaluation interaction module preferentially transmits all the monitoring parameters contained in the execution information packages of all the risk-oriented signals. For all the monitoring parameters contained in the execution information packages of all the risk-oriented signals, all the corresponding monitoring values ​​are transmitted in ascending order according to their interaction numbers.

Images