Subway shield driving line type monitoring and early warning method and system and storage medium

Through real-time monitoring and hierarchical early warning mechanisms, safety hazards caused by abnormal excavation line type during subway shield excavation are solved, safety and stability monitoring during excavation process are achieved, and the stability of excavation line type is ensured.

CN119288515APending Publication Date: 2025-01-10HANGZHOU XIAOHONG CONSTR GRP
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Patent Information

Application Number
CN202411504608.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-26
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

During the excavation of subway shields, existing monitoring methods lack effective early warning mechanisms, resulting in abnormal excavation line type may lead to safety hazards such as house tilt and ground collapse. It is difficult for operators to judge abnormal parameters in a timely manner, affecting the safety and stability of excavation. .

Method used

The subway shield excavation line monitoring and warning method is adopted to obtain real-time operation parameter information, determine whether an abnormality occurs, generate an abnormal level score, and match the corresponding warning plan based on the preset risk warning level score to conduct early warning and correction.

Benefits of technology

Real-time abnormal monitoring and hierarchical warning of the excavation area of ​​the shield machine are realized, timely correction of deviations, improving the safety and stability of the excavation, and avoiding safety hazards caused by line differences.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of shield tunneling machines, in particular to a subway shield tunneling line type monitoring and early warning method and system and a storage medium, and the method comprises the steps: obtaining the real-time operation parameter information of a tunneling region; judging whether the real-time operation parameter information is abnormal or not based on an on-duty setting parameter, wherein the on-duty setting parameter is represented as a tunneling parameter set by an operator of the current shift according to engineering requirements; if abnormity occurs, abnormal grade score information is generated, and the abnormal grade score information is compared with a preset risk early warning grade score to judge abnormal grade information; and matching a corresponding early warning scheme based on the corresponding grading information so as to carry out early warning. The method has the effect of early warning in the tunneling process of the shield tunneling machine.
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Description

Technical Field

[0001] The present application relates to the technical field of shield machines, and in particular to a method, system and storage medium for monitoring and early warning of subway shield tunneling line types. Background Art

[0002] The full name of shield machine is shield tunnel boring machine or full-section tunnel boring machine. It is a tunnel boring machine that uses the shield method. The shield construction method is that the tunnel boring machine lays supporting shield plates on the walls of the excavated space while excavating. Shield machines are used for digging tunnels, subways, large underground passages and other tasks.

[0003] When tunnel excavation is carried out using a shield machine, various excavation parameters of the shield machine itself are generally monitored, because various excavation parameters and external factors of the shield machine will affect the operating posture of the shield machine, and the operating posture of the shield machine determines the excavation line shape. Slight abnormalities in the operating posture may lead to large differences in the excavation line shape during the excavation process.

[0004] Especially during the excavation of subway lines, since most of the subway lines are built underground in urban areas and the above-ground parts are all houses and buildings, the difference in excavation routes may cause deviations between the current excavated lines and the lines specified in the engineering plan, resulting in house tilts and ground collapses due to the excavation line shape.

[0005] The current monitoring focus of shield machines is on the shield machine itself. Through the research and analysis of the shield machine's own functional parameters, excavation parameters, external parameters, etc., the operating parameters that enable the shield machine to perform excavation better are obtained. However, the monitoring methods for safety and stability issues are relatively weak. When monitoring the relevant parameters of the shield machine, it is often the operator who subjectively evaluates whether a certain parameter affects the excavation effect of the shield machine. However, there is no early warning function when the parameters are abnormal, and the operator cannot know or judge the possible safety hazards through a large number of parameters. Summary of the invention

[0006] In order to achieve early warning during the tunneling process of a shield machine, the present application provides a subway shield tunneling line monitoring and early warning method, system and storage medium.

[0007] In the first aspect, the present application provides a subway shield tunneling line monitoring and early warning method, which adopts the following technical solutions: A subway shield tunneling line monitoring and early warning method comprises the following steps: Obtain real-time operating parameter information of the excavation area; Determining whether the real-time operating parameter information is abnormal based on the on-duty setting parameters, wherein the on-duty setting parameters are characterized by the excavation parameters set by the current shift operator according to the engineering requirements; If an abnormality occurs, abnormality grade score information is generated, and the abnormality grade score information is compared with the preset risk warning grade score to determine the abnormal grade information; Match the corresponding warning plan based on the corresponding classification information to issue an early warning.

[0008] Preferably, after setting the on-duty setting parameters, the following steps are also included: Conducting trial excavation based on the set parameters for the shift, and acquiring trial excavation parameter information in real time, wherein the trial excavation parameter information at least includes soil quality information, axis control law information, ground deformation information, propulsion parameter information, and synchronous grouting information; A tuning plan is generated according to the trial excavation parameter information, and the baffle setting parameters are updated based on the tuning plan. After the update, formal excavation is carried out and real-time operating parameter information of the excavation area is obtained.

[0009] Preferably, obtaining real-time operating parameter information of the excavation area includes the following steps: Acquire internal factor parameters and external factor parameters in the excavation area, wherein the internal factor parameters at least include excavation mileage deviation, axis control law, propulsion parameters, posture, cutter head torque, jack thrust, synchronous grouting volume, and shield installation status, and the external factor parameters at least include soil parameters, geological changes, ground deformation, ground load, tunnel burial depth, and surface settlement; Corresponding real-time operation parameter information is generated according to the internal factor parameters and the external factor parameters.

[0010] Preferably, based on the set parameters of the shift, it is judged whether the real-time operating parameter information is abnormal, and if abnormal, abnormal level score information is generated, wherein the judgment includes a single parameter comparison, including the following steps: Compare all the individual parameters in the real-time operating parameters with the corresponding individual parameters in the on-duty setting parameters to obtain a number of individual parameter differences; Determining whether there is a single parameter difference value exceeding a preset value among the plurality of single parameter differences; If so, these single parameter differences are defined as abnormal single items, and the abnormal single item grade scores corresponding to the types and differences of the abnormal single items are obtained based on the preset abnormal category library and assigned to the abnormal single items.

[0011] Preferably, based on the on-duty setting parameters, it is determined whether the real-time operating parameter information is abnormal, and if abnormal, abnormal level score information is generated, wherein the determination includes binding parameter comparison, including the following steps: Obtaining the binding value between all the individual parameters in the real-time operation parameters, wherein the binding value represents the degree of influence of a change in a certain parameter on other parameters; Generate a prediction linear model diagram according to the single parameter and the binding value; Generate an ideal linear model diagram according to the shift setting parameters; Comparing the predicted linear model graph with the ideal linear model graph to determine whether there is a model deviation; If it exists, a corresponding abnormal overall item is generated according to the size of the model deviation, and the abnormal overall item level score corresponding to the abnormal overall item is obtained based on a preset abnormal category library and assigned to the abnormal overall item.

[0012] Preferably, comparing the abnormality level score information with a preset risk warning level score comprises the following steps: According to the type of single parameter, the corresponding single risk warning level score is matched from the preset risk warning level scores, and compared with the abnormal single level scores of the same type; The overall item risk warning level score is obtained from the preset risk warning level scores and compared with the corresponding abnormal overall item level score.

[0013] Preferably, the abnormal classification information includes: Abnormal single item level 1, the difference between the abnormal single item level score and the single item risk warning level score is greater than a first preset value; Abnormal single item level 2: the difference between the abnormal single item level score and the single risk warning level score is greater than the first preset value, and the duration exceeds the preset value; Abnormal single item level 3, the difference between the abnormal single item level score and the single risk warning level score is greater than a second preset value, and the second preset value is greater than the first preset value; Abnormal overall item level 1, the difference between the abnormal overall item level score and the overall item risk warning level score is greater than a third preset value; Abnormal overall item level 2: the difference between the abnormal overall item level score and the overall item risk warning level score is greater than a third preset value, and the duration of the difference exceeds the preset value; The abnormal overall item is at level three, and the difference between the abnormal overall item level score and the overall item risk warning level score is greater than a fourth preset value, and the fourth preset value is greater than the third preset value.

[0014] Preferably, matching a corresponding warning scheme based on corresponding classification information to issue a warning comprises the following steps: If the classification information is a single abnormality level 1, a single abnormality warning and a tunneling stop suggestion option are generated, and correction information is generated according to the single parameter corresponding to the abnormality; If the classification information is a single abnormality level 2, a tunneling stop instruction, a single abnormality warning and a parking warning are generated, and inspection information is generated according to the single parameter corresponding to the abnormality; If the classification information is a single abnormality level 3, a tunneling stop instruction, a parking warning and a tunneling safety alarm are generated, and inspection information, a safety risk report and a line correction plan are generated according to the single parameter corresponding to the abnormality; If the classification information is the first level of the overall abnormal item, a number of single-item abnormal warnings, single-item inter-item abnormal warnings and excavation stop suggestion options are generated, and correction information is generated according to the single-item parameters and constraint values ​​corresponding to the abnormality; If the classification information is the second level of the overall abnormal item, then an excavation stop instruction, several single abnormal warnings, single-item inter-item restraint abnormal warnings and a parking warning are generated, and inspection information is generated according to the single parameter and restraint value corresponding to the abnormality; If the classification information is level three of the overall abnormality, an excavation stop instruction, a parking warning and an excavation safety alarm are generated, and inspection information, a safety risk report and a line correction plan are generated based on the individual parameters corresponding to the abnormality.

[0015] In the second aspect, the present application provides a subway shield tunneling line monitoring and early warning system, which adopts the following technical solutions: A subway shield tunneling line monitoring and early warning system, comprising: A monitoring module is used to monitor various parameters of the excavation area to generate corresponding real-time operating parameter information; A control module is used to obtain real-time operating parameter information of the excavation area and determine whether the real-time operating parameter information is abnormal based on the on-duty setting parameters, wherein the on-duty setting parameters are characterized as excavation parameters set by the current shift operator according to the engineering requirements; if an abnormality occurs, abnormality grade score information is generated, and the abnormality grade score information is compared with the preset risk warning grade score to determine the classification information of the abnormality; and a corresponding warning scheme is matched based on the corresponding classification information; The early warning module is used to issue corresponding early warnings according to the early warning scheme generated by the control module.

[0016] In a third aspect, the present application provides a computer storage medium, which adopts the following technical solution: A computer storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned subway shield tunneling line type monitoring and early warning method.

[0017] In summary, this application includes the following beneficial technical effects: 1. By monitoring the real-time operating parameters of the shield machine excavation area, determine whether the current real-time operating parameter information is abnormal, and classify the abnormal information when an abnormality occurs. After classification, timely issue an early warning according to the early warning plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall steps of an embodiment of the present application. DETAILED DESCRIPTION

[0019] The following is combined with Figure 1 This application is described in further detail.

[0020] The embodiment of the present application discloses a subway shield tunneling line monitoring and early warning method.

[0021] like Figure 1 As shown, a subway shield tunneling line monitoring and early warning method comprises the following steps: S100, obtaining real-time operating parameter information of the excavation interval.

[0022] The specific steps include: S110, obtaining internal factor parameters and external factor parameters in the excavation area, wherein the internal factor parameters at least include excavation mileage deviation, axis control law, propulsion parameters, posture, cutter head torque, jack thrust, synchronous grouting volume, and shield installation status; the external factor parameters at least include soil parameters, geological changes, ground deformation, ground load, tunnel burial depth, and surface settlement.

[0023] Internal factors refer to some component factors of the shield machine itself when it is working, while external factors refer to the external environment of the shield machine when it is working or the factors and information brought about by the work of the shield machine.

[0024] Often, changes in the internal parameters of the shield machine itself will also cause corresponding changes in the external parameters. For example, different cutter heads, deflection of the excavation axis, and different gaps in shield installation will lead to changes in geological forces and ground loads.

[0025] Due to the influence of factors such as strata, tunnel curves, slope changes and operations, it is impossible for the shield machine to advance according to the designed tunnel line during excavation, and a certain deviation will inevitably occur. When the deviation exceeds a certain limit, the tunnel lining will be encroached, the gap at the shield tail will become smaller, the local stress on the shield will worsen, and the stratum loss will increase, resulting in increased surface settlement.

[0026] Therefore, in order to avoid the occurrence of such safety accidents, monitoring of internal and external factors can enable operators to promptly issue early warnings, corrections and deviations when abnormalities occur in one or some factor parameters.

[0027] The monitoring of these factors and parameters generally adopts conventional manual monitoring, various sensors (horizontal inclination sensors, attitude sensors) and automatic total station scanning monitoring methods, which can monitor all conventional factor parameters in excavation work.

[0028] S120: Generate corresponding real-time operation parameter information according to the internal factor parameters and the external factor parameters.

[0029] Integrate various factor parameters to obtain real-time operating parameter information.

[0030] S200, judging whether the real-time operating parameter information is abnormal based on the setting parameters of the shift.

[0031] The shift setting parameters are characterized by the excavation parameters set by the current shift operator according to the project requirements. Before the excavation project begins, the corresponding excavation line type will be generated through design planning, and the corresponding parameter information of the excavation work will be set at the same time. This parameter is the shift setting parameter, which is theoretically the ideal excavation parameter corresponding to the excavation line type.

[0032] In other embodiments, after setting the parameters for the shift and before starting the formal excavation work, the following steps are included: S210, conduct trial excavation based on the parameters set during the shift, and obtain trial excavation parameter information in real time.

[0033] The test excavation parameter information at least includes soil quality information, axis control law information, ground deformation information, propulsion parameter information, and synchronous grouting information. Specifically, the test excavation parameter information is the same as the real-time operation parameter information, which is divided into internal factor parameters and external factor parameters, and the specific monitoring factors are the same.

[0034] S220, generating a training plan according to the trial excavation parameter information, and updating the setting parameters for the shift based on the training plan, and after the update, performing formal excavation and obtaining real-time operating parameter information of the excavation area.

[0035] The shield tunneling should be carried out in a reasonable range of trial excavation sections. During the trial excavation section, attention should be paid to timely adjusting the advancement parameters, summarizing the relationship between ground deformation and construction parameters, and collecting, counting and analyzing various technical data during advancement, so as to master the operating performance of shield machinery and equipment in a relatively short period of time and determine the setting range of construction parameters for shield advancement. In this stage, the following tasks should be focused on: ①. Master the operation method and mechanical properties of the shield machine in the shortest possible time and improve the imperfect parts of the shield.

[0036] ② Understand and recognize the geological conditions of the soil layer that the tunnel passes through, and master the construction method of earth pressure balance shield under this geological condition.

[0037] ③. Through the construction of this section, we will strengthen the monitoring and analysis of ground deformation, and master the shield advancement parameters and the amount of synchronous grouting.

[0038] ④. Improve the connection between each process, master the operating essentials of shield equipment, improve construction quality, and speed up construction progress.

[0039] ⑤. Through the advancement of construction in the trial excavation strata, the control rules of the shield advancement axis when the shield section is in each stratum are explored.

[0040] When the trial excavation is completed, the real-time operating parameter information will be adjusted and updated to provide conditions for subsequent normal excavation. The adjustment plan includes at least the following points: ①. Further optimize the excavation parameters according to the geological conditions and monitoring results during the trial excavation.

[0041] ②In the normal advancement stage, the best construction parameters obtained in the trial excavation stage are adopted. By strengthening construction monitoring, the construction process is continuously improved to control ground settlement. The construction progress should adopt the balanced production method.

[0042] ③. During the advancement process, strictly control the advancement mileage, constantly check the construction measurement results with the calculated three-dimensional coordinates, and make timely adjustments. The mileage deviation should be controlled within: X (direction of the tunnel design longitudinal axis, i.e. along the mileage direction) < ±50mm, Y (direction of the vertical tunnel along the design axis) < ±50mm.

[0043] ④. The shield machine should be advanced according to the parameters set by the on-duty instructions, and the excavation and grouting behind the lining should be carried out simultaneously. The construction process should be continuously improved to control the maximum deformation of the ground surface after construction within +10, -30mm.

[0044] ⑤. During shield tunneling, the slope cannot change suddenly, and the tunnel axis and angle changes cannot exceed 0.4%.

[0045] ⑥ The entire shield tunneling construction process must be strictly controlled. Engineering and technical personnel must correctly issue tunneling instructions for each shift and make timely follow-up adjustments based on various exploration and measurement data information such as geological changes, tunnel burial depth, ground load, surface settlement, shield machine posture, cutter head torque, jack thrust, etc.

[0046] ⑦. The shield machine operators must strictly follow the instructions and operate with caution. Small initial deviations should be corrected promptly. The shield machine should be prevented from moving in a "snake" shape as much as possible. The shield machine should not correct the deviation too much at one time to reduce the disturbance to the formation.

[0047] S300: If an abnormality occurs, abnormality grade score information is generated, and the abnormality grade score information is compared with the preset risk warning grade score to determine the abnormal grade information.

[0048] If an abnormality occurs, the corresponding abnormality classification information is generated, and the degree of danger of the abnormality is judged in turn to generate subsequent response plans for early warning, repair, correction and other behaviors.

[0049] Among them, based on the set parameters of the shift, it is judged whether the real-time operating parameter information is abnormal. If an abnormality occurs, the abnormality level score information is generated. The judgment includes a single parameter comparison, which specifically includes the following steps: S310, comparing all the individual parameters in the real-time operating parameters with the corresponding individual parameters in the shift setting parameters to obtain a number of individual parameter differences.

[0050] As disclosed in the previous article, the real-time operating parameters include several different types of parameter information, and each different type of parameter information is itself a single parameter. The change of each single parameter itself can cause a certain deviation in the excavation line shape.

[0051] The parameters set on duty are configured by the operator according to the pre-designed excavation line type and updated and revised after trial excavation. Therefore, they can be used as the ideal parameters corresponding to the normal excavation line type under ideal conditions.

[0052] Therefore, by treating all types of parameters in the real-time operating parameters as single parameters and comparing all single parameters with the single parameters corresponding to the set parameters on duty, it can be determined whether one or some single parameters are abnormal during the actual excavation process, so as to carry out additional monitoring and analysis for subsequent early warning work.

[0053] S311, determining whether there is a single parameter difference value exceeding a preset value among the single parameter difference values.

[0054] The preset value represents the maximum value of the error and fluctuation of a single parameter. Different single parameters have different preset values. The size of the preset value is manually set and uploaded. If the difference of the single parameter is not 0 and does not exceed the preset value, it can be defined as an error detected within the normal range or a parameter deviation caused by different actual excavation conditions. However, if it exceeds the preset value, it is likely to affect the excavation work, thereby causing the final line shape to deteriorate. Therefore, it is necessary to judge and select the single parameter difference that exceeds the preset value.

[0055] S312: If so, define these single parameter differences as abnormal single items, and obtain the abnormal single item grade score of the type and difference corresponding to the abnormal single item based on the preset abnormal category library and assign it to the abnormal single item.

[0056] The single parameters corresponding to the single parameter differences that exceed the preset values ​​are defined as abnormal single items, indicating that these single item values ​​are abnormal and may or will definitely affect the excavation work. The possibility of the impact and the magnitude of the consequences are determined by the abnormal single item grade score.

[0057] There is a preset abnormal category library, in which operators upload different abnormal items and abnormal item grade scores corresponding to the difference in advance. For example, for the mileage deviation category, if the deviation is X, the abnormal item grade score is 3. Different abnormal items correspond to different abnormal item categories, because different types of abnormalities have different effects on the excavation line type, and the size of the deviation also affects the excavation line type. Generally speaking, the larger the deviation, the greater the impact.

[0058] Among them, based on the on-duty setting parameters, it is judged whether the real-time operating parameter information is abnormal. If an abnormality occurs, the abnormality level score information is generated. The judgment includes the comparison of the binding parameters, which specifically includes the following steps: S320, obtaining the binding values ​​between all the individual parameters in the real-time operation parameters.

[0059] The restraint value represents the degree of influence of a change in a certain parameter on other parameters. The change of a single number may not only affect the change of the entire line type, but also cause other single parameters to change at the same time. For example, the excavation posture of the shield machine may affect the ground load, the installation of the shield may cause uneven ground force and deformation, etc., and the change of soil quality will affect the propulsion parameters of the shield machine, etc. The restraint value is used to indicate the possibility or correlation of the change of one parameter leading to the change of other parameters.

[0060] The larger the bond value, the greater the correlation between the two parameters with the bond value. The smaller the bond value, the smaller the correlation between the two parameters with the bond value. The size of the bond value represents the chain effect that may be caused by the individual parameters. Generally, the larger the bond value, the more abnormal the single parameter will be, which will cause a more drastic impact on the overall parameter situation and the final line shape.

[0061] S321, generating a prediction linear model diagram according to the single parameter and the binding value.

[0062] The prediction line model diagram is represented as a prediction line model diagram generated by considering the current individual parameters and the binding values ​​between different individual parameters. Because the binding value is added, the final predicted model is not only obtained based on the static individual parameters, but is dynamically predicted through the dynamic prediction factor of the binding value. The predicted model is predictive, and the change of the model may cause a large change due to a small change in a single parameter, because the binding value will associate the change of a parameter with other related parameters, so as to timely amplify and predict the abnormality of the parameter, improve the timeliness of the warning, and improve the monitoring accuracy.

[0063] S322, generating an ideal linear model diagram according to the setting parameters for the shift.

[0064] The ideal model diagram generated by setting parameters on the job is generated by pre-set static parameters, which represents the ideal linear model in the excavation project.

[0065] S323, comparing the predicted linear model graph with the ideal linear model graph to determine whether there is a model deviation.

[0066] The model deviation is divided into deviations on the x-axis (horizontal direction) and y-axis (vertical direction). The deviation on the x-axis will cause horizontal offset of the line type and the appearance of corners, while the deviation on the y-axis will cause vertical deviation of the line type and the appearance of a slope.

[0067] If after comparison, model deviation is found, it means that continuing excavation according to the current real-time operating parameter information will lead to deviation in the final excavation line type, which requires early warning, correction and analysis. If there is no model deviation, it means that the current excavation work is being carried out according to the ideal excavation route.

[0068] S324: If it exists, a corresponding abnormal overall item is generated according to the size of the model deviation, and the abnormal overall item grade score corresponding to the abnormal overall item is obtained based on the preset abnormal category library and assigned to the abnormal overall item.

[0069] After integration and data analysis of the model deviation, the corresponding overall abnormal item is obtained, and the corresponding overall abnormal item grade score is obtained according to the preset abnormal category library.

[0070] Through the above method, static and dynamic data monitoring can be achieved through single item judgment and overall item judgment methods, while the accuracy and foresight of early warning can be improved through model prediction brought by the overall item.

[0071] Comparing the abnormality level score information with the preset risk warning level score includes the following steps: S330, matching a corresponding single risk warning level score from preset risk warning level scores according to the type of single parameter, and comparing it with similar abnormal single level scores.

[0072] S331, obtaining the overall item risk warning level score from the preset risk warning level scores, and comparing it with the corresponding abnormal overall item level score.

[0073] S400, matching a corresponding warning plan based on corresponding classification information to issue a warning.

[0074] Abnormal classification information includes: For the first level of abnormal single item, the difference between the abnormal single item grade score and the single item risk warning grade score is greater than the first preset value.

[0075] Abnormal single item level 2: the difference between the abnormal single item grade score and the single risk warning grade score is greater than the first preset value, and the maintenance time exceeds the preset value.

[0076] For the third level of abnormal single item, the difference between the abnormal single item grade score and the single risk warning grade score is greater than the second preset value, and the second preset value is greater than the first preset value.

[0077] For the first level of abnormal overall item, the difference between the abnormal overall item grade score and the overall item risk warning grade score is greater than the third preset value.

[0078] Abnormal overall item level 2: the difference between the abnormal overall item level score and the overall item risk warning level score is greater than the third preset value, and the maintenance time exceeds the preset value.

[0079] The abnormal overall item is at level three, and the difference between the abnormal overall item level score and the overall item risk warning level score is greater than the fourth preset value, and the fourth preset value is greater than the third preset value.

[0080] The specific steps include: If the classification information is a single abnormality level 1, a single abnormality warning and a tunneling stop suggestion option are generated, and correction information is generated based on the single parameter corresponding to the abnormality; If the classification information is a single abnormality level 2, a tunneling stop instruction, a single abnormality warning and a parking warning are generated, and inspection information is generated according to the single parameter corresponding to the abnormality; If the classification information is a single abnormality level 3, an excavation stop instruction, parking warning and excavation safety alarm will be generated, and inspection information, safety risk report and line correction plan will be generated according to the single parameter corresponding to the abnormality; If the classification information is the first level of abnormal overall items, a number of single-item abnormal warnings, single-item inter-item abnormal warnings and excavation stop suggestion options are generated, and correction information is generated based on the single-item parameters and constraint values ​​corresponding to the abnormalities; If the classification information is the second level of the overall abnormal item, then an excavation stop instruction, several single abnormal warnings, single-item inter-item restraint abnormal warnings and parking warnings are generated, and inspection information is generated according to the single parameter and restraint value corresponding to the abnormality; If the classification information is level three of the overall abnormality, an excavation stop instruction, parking warning and excavation safety alarm will be generated, and inspection information, safety risk report and line correction plan will be generated based on the individual parameters corresponding to the abnormality.

[0081] Abnormal single items and abnormal overall items are each divided into three levels. The first level of abnormal classification is that the difference between the abnormal single item grade score and the single item risk warning grade score exceeds the first preset value, or the difference between the abnormal overall item grade score and the overall item risk warning grade score is greater than the third preset value, and the first preset value and the third preset value are not very large. At this time, a single item abnormal warning and / or a single item inter-item constraint abnormal warning will be generated, and an excavation stop suggestion option will also be generated. The operation of the shield machine will not be directly forced to stop, but a correction signal will be generated for automatic correction. After receiving the warning, the operator can check whether the automatic correction can solve the abnormal situation.

[0082] The second level of abnormal classification is that the difference between the abnormal single item grade score and the single item risk warning grade score is greater than the first preset value, or the difference between the abnormal overall item grade score and the overall item risk warning grade score is greater than the third preset value, and the maintenance time exceeds the preset value. This means that after the shield machine automatically corrects the deviation through the correction signal for a period of time, there is no abnormal situation to be solved, so it is necessary to stop and inspect in time.

[0083] Therefore, if the classification information is abnormal single item level 2, then the excavation stop command, single abnormal warning and parking warning are generated, and the inspection information is generated according to the single parameter corresponding to the abnormality. It is characterized by stopping the excavation immediately, generating a single abnormal warning and a parking warning when parking, and generating corresponding inspection information so that the operator can check and correct it.

[0084] If the classification information is the second level of the overall abnormal item, an excavation stop instruction, several single abnormal warnings, single-item constraint abnormal warnings and a parking warning will be generated, and inspection information will be generated based on the single parameters and constraint values ​​corresponding to the abnormality.

[0085] For the third level of abnormal classification, the difference between the abnormal single item grade score and the single item risk warning grade score is greater than the second preset value, the second preset value is greater than the first preset value, or the difference between the abnormal overall item grade score and the overall item risk warning grade score is greater than the fourth preset value, and the fourth preset value is greater than the third preset value.

[0086] This is when abnormalities occur in single parameters or overall parameters, and these abnormalities have a great impact on the overall line type. In order to avoid safety accidents and reduce deviations from the preset line type, more urgent warnings and processing are required.

[0087] Therefore, if the classification information is the third level of single abnormality, an excavation stop instruction, parking warning and excavation safety alarm will be generated, and inspection information, safety risk report and line correction plan will be generated according to the single parameter corresponding to the abnormality.

[0088] If the classification information is level three for the overall abnormality, an excavation stop instruction, parking warning and excavation safety alarm will be generated, and inspection information, safety risk report and line correction plan will be generated based on the individual parameters corresponding to the abnormality.

[0089] Warnings corresponding to different levels can be distinguished according to different combinations of sound and light, so that operators can know the current level of abnormality in time after hearing the warning information.

[0090] Among them, the method of adjusting the excavation direction by correcting the deviation is: controlling the shield excavation direction by adjusting the thrust of the propulsion cylinders in each zone. When excavating in a small curve radius, it is necessary to use an articulated cylinder to control the shield excavation direction.

[0091] According to the segmented axis fitting control plan made according to the line conditions, the shield attitude information reflected by the guidance system, and the tunnel formation conditions, the excavation direction is controlled by operating the thrust cylinder of the shield machine in different areas. When excavating in the uphill section, the thrust of the lower cylinder of the shield machine should be appropriately increased; when excavating in the downhill section, the thrust of the upper cylinder should be appropriately increased; when excavating in the left-turn curve section, the thrust of the right cylinder should be appropriately increased; when excavating in the right-turn curve section, the thrust of the left cylinder should be appropriately increased; when excavating in the straight and flat slope section, the thrust of all cylinders should be kept consistent as much as possible.

[0092] In sharp bends and slope change sections, the shield machine's over-excavation cutter can be used to perform local over-excavation to correct deviations when necessary.

[0093] When the rolling exceeds the limit, the shield machine will automatically alarm. At this time, the shield cutter head is reversed to correct the rolling deviation.

[0094] During the shield construction process, the shield will also affect the forward excavation route of the shield machine. If the difference in the stroke of the left and right or up and down cylinders of the shield machine is large, the shield machine will tend to be too large or even deviate from the center, and the support shoe of the propulsion cylinder will not be in close contact with the shield and form a line contact, which will cause the thrust of the shield machine to be unable to be fully exerted, further affecting the propulsion speed. At the same time, it is not easy to perfectly control the shield to excavate along the center line of the tunnel. That is to say, the shield machine always advances forward at a certain angle to the center line of the tunnel, and the thrust is decomposed into a component force close to the radial direction on the shield, and then transmitted to the next ring or rings through the shield and the connecting bolts. When this separation exceeds the shear limit of the shield, the shield will be damaged.

[0095] During construction, the large difference in cylinder stroke during the advancement of the shield machine is also an important reason for causing small-radius curved tunnels and excessive tunnel over-excavation, resulting in uneven thickness of the tunnel backing grouting around the shield, ground subsidence, and difficulty in waterproofing.

[0096] The present application also discloses a subway shield tunneling line monitoring and early warning system, which includes: A monitoring module is used to monitor various parameters of the excavation area to generate corresponding real-time operating parameter information; A control module is used to obtain real-time operating parameter information of the excavation area and determine whether the real-time operating parameter information is abnormal based on the setting parameters of the shift, where the setting parameters of the shift are characterized as the excavation parameters set by the current shift operator according to the engineering requirements; if an abnormality occurs, the abnormality grade score information is generated, and the abnormality grade score information is compared with the preset risk warning grade score to determine the abnormal classification information; and the corresponding warning plan is matched based on the corresponding classification information; The early warning module is used to issue corresponding early warnings according to the early warning scheme generated by the control module. In an embodiment of the present application, a computer storage medium is also disclosed, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned subway shield tunneling line type monitoring and early warning method is implemented.

[0097] The implementation principle is: By monitoring the real-time operating parameters of the shield machine excavation area, it is determined whether the current real-time operating parameter information is abnormal, and the abnormal information is classified when an abnormality occurs. After classification, an early warning is issued in a timely manner according to the early warning plan.

[0098] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A subway shield tunneling line monitoring and early warning method, characterized in that: The following steps are involved: Obtain real-time operating parameter information of the excavation area; Determining whether the real-time operating parameter information is abnormal based on the on-duty setting parameters, wherein the on-duty setting parameters are characterized by the excavation parameters set by the current shift operator according to the engineering requirements; If an abnormality occurs, abnormality grade score information is generated, and the abnormality grade score information is compared with the preset risk warning grade score to determine the abnormal grade information; Match the corresponding warning plan based on the corresponding classification information to issue an early warning.

2. The subway shield tunneling line monitoring and early warning method according to claim 1 is characterized by: After setting the shift setting parameters, the following steps are also included: Conducting trial excavation based on the set parameters for the shift, and acquiring trial excavation parameter information in real time, wherein the trial excavation parameter information at least includes soil quality information, axis control law information, ground deformation information, propulsion parameter information, and synchronous grouting information; A training plan is generated according to the trial excavation parameter information, and the on-duty setting parameters are updated based on the training plan. After the update, formal excavation is carried out and real-time operating parameter information of the excavation area is obtained.

3. The subway shield tunneling line monitoring and early warning method according to claim 1 is characterized by: Obtaining real-time operating parameter information of the excavation area includes the following steps: Acquire internal factor parameters and external factor parameters in the excavation area, wherein the internal factor parameters at least include excavation mileage deviation, axis control law, propulsion parameters, posture, cutter head torque, jack thrust, synchronous grouting volume, and shield installation status, and the external factor parameters at least include soil parameters, geological changes, ground deformation, ground load, tunnel burial depth, and surface settlement; Corresponding real-time operation parameter information is generated according to the internal factor parameters and the external factor parameters.

4. The subway shield tunneling line monitoring and early warning method according to claim 1 is characterized by: Based on the set parameters of the shift, it is judged whether the real-time operating parameter information is abnormal. If an abnormality occurs, abnormality level score information is generated, wherein the judgment includes a single parameter comparison, including the following steps: Compare all the individual parameters in the real-time operating parameters with the corresponding individual parameters in the on-duty setting parameters to obtain a number of individual parameter differences; Determining whether there is a single parameter difference value exceeding a preset value among the plurality of single parameter differences; If so, these single parameter differences are defined as abnormal single items, and the abnormal single item grade scores corresponding to the types and differences of the abnormal single items are obtained based on the preset abnormal category library and assigned to the abnormal single items.

5. The subway shield tunneling line monitoring and early warning method according to claim 4 is characterized by: Based on the on-duty setting parameters, it is determined whether the real-time operating parameter information is abnormal. If an abnormality occurs, abnormality level score information is generated, wherein the determination includes binding parameter comparison, including the following steps: Obtaining the binding value between all the individual parameters in the real-time operation parameters, wherein the binding value represents the degree of influence of a change in a certain parameter on other parameters; Generate a prediction linear model diagram according to the single parameter and the binding value; Generate an ideal linear model diagram according to the shift setting parameters; Comparing the predicted linear model graph with the ideal linear model graph to determine whether there is a model deviation; If it exists, a corresponding abnormal overall item is generated according to the size of the model deviation, and the abnormal overall item level score corresponding to the abnormal overall item is obtained based on a preset abnormal category library and assigned to the abnormal overall item.

6. The subway shield tunneling line monitoring and early warning method according to claim 5 is characterized by: Comparing the abnormality level score information with the preset risk warning level score includes the following steps: According to the type of single parameter, the corresponding single risk warning level score is matched from the preset risk warning level scores, and compared with the abnormal single level scores of the same type; The overall item risk warning level score is obtained from the preset risk warning level scores and compared with the corresponding abnormal overall item level score.

7. The subway shield tunneling line monitoring and early warning method according to claim 1 is characterized in that: The abnormal classification information includes: Abnormal single item level 1, the difference between the abnormal single item level score and the single item risk warning level score is greater than a first preset value; Abnormal single item level 2: the difference between the abnormal single item level score and the single risk warning level score is greater than the first preset value, and the duration exceeds the preset value; Abnormal single item level 3, the difference between the abnormal single item level score and the single risk warning level score is greater than a second preset value, and the second preset value is greater than the first preset value; Abnormal overall item level 1, the difference between the abnormal overall item level score and the overall item risk warning level score is greater than a third preset value; Abnormal overall item level 2: the difference between the abnormal overall item level score and the overall item risk warning level score is greater than a third preset value, and the duration of the difference exceeds the preset value; The abnormal overall item is at level three, and the difference between the abnormal overall item level score and the overall item risk warning level score is greater than a fourth preset value, and the fourth preset value is greater than the third preset value.

8. The subway shield tunneling line monitoring and early warning method according to claim 7 is characterized by: Matching the corresponding warning plan based on the corresponding classification information to issue a warning includes the following steps: If the classification information is a single abnormality level 1, a single abnormality warning and a tunneling stop suggestion option are generated, and correction information is generated according to the single parameter corresponding to the abnormality; If the classification information is a single abnormality level 2, a tunneling stop instruction, a single abnormality warning and a parking warning are generated, and inspection information is generated according to the single parameter corresponding to the abnormality; If the classification information is a single abnormality level 3, a tunneling stop instruction, a parking warning and a tunneling safety alarm are generated, and inspection information, a safety risk report and a line correction plan are generated according to the single parameter corresponding to the abnormality; If the classification information is the first level of the overall abnormal item, a number of single-item abnormal warnings, single-item inter-item abnormal warnings and excavation stop suggestion options are generated, and correction information is generated according to the single-item parameters and constraint values ​​corresponding to the abnormality; If the classification information is the second level of the overall abnormal item, then an excavation stop instruction, several single abnormal warnings, single-item inter-item restraint abnormal warnings and a parking warning are generated, and inspection information is generated according to the single parameter and restraint value corresponding to the abnormality; If the classification information is level three of the overall abnormality, an excavation stop instruction, a parking warning and an excavation safety alarm are generated, and inspection information, a safety risk report and a line correction plan are generated based on the individual parameters corresponding to the abnormality.

9. A subway shield tunneling line monitoring and early warning system, characterized in that: include: A monitoring module is used to monitor various parameters of the excavation area to generate corresponding real-time operating parameter information; A control module, used to obtain real-time operating parameter information of the excavation area and determine whether the real-time operating parameter information is abnormal based on the setting parameters of the shift, wherein the setting parameters of the shift are characterized by the excavation parameters set by the operator of the current shift according to the engineering requirements; If an abnormality occurs, the abnormality level score information is generated, and the abnormality level score information is compared with the preset risk warning level score to determine the classification information of the abnormality; the corresponding warning plan is matched based on the corresponding classification information; The early warning module is used to issue corresponding early warnings according to the early warning scheme generated by the control module.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the subway shield tunneling line monitoring and early warning method described in any one of claims 1 to 8 is implemented.

Citation Information

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