Graded early warning method and system for vibration monitoring data of shield construction environment

Abstract

The invention belongs to the technical field of civil engineering construction, and relates to a grading early warning method and system for shield construction environment vibration monitoring data, and the method comprises the following steps: integrating and generating an original perception data set; generating a noise adaptive threshold setting; generating a dynamic grading threshold packet; the vibration amplitude value of the original sensing data set is compared with the dynamic grading threshold value packet, and the current warning level is judged and output; according to the current warning level, generating a control execution signal for data storage, manual warning or equipment automatic control; when the control execution signal contains an equipment automatic control instruction, the vibration amplitude value is collected again after the instruction is executed, the vibration amplitude value variation quantity of the vibration amplitude value and the vibration amplitude value variation quantity before the instruction is executed are calculated, and a response effect data set is formed by combining current geologic feature information; an optimized warning threshold packet is generated for the next monitoring cycle. The problem that an existing system cannot dynamically optimize an early warning strategy according to an early warning disposal effect is solved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of civil engineering construction, and relates to a grading early warning method and system for shield construction environment vibration monitoring data. BACKGROUND

[0002] The vibration generated in the shield tunnel construction process poses a potential threat to the surrounding environment, adjacent buildings, pipelines and precision instruments. How to accurately and timely warn of abnormal vibration is a key technical challenge to ensure construction safety and social stability. The core problem lies in the fact that the influencing factors of shield construction vibration are extremely complex, not only related to the tunneling parameters of the shield machine such as speed and pressure, but also seriously disturbed by the dynamically changing soil geological conditions and environmental noise such as traffic and other engineering activities around the construction site, making the vibration response show strong nonlinearity and uncertainty.

[0003] The current solution widely used in the industry is to arrange vibration monitoring points in sensitive areas, collect vibration speed or acceleration data in real time through sensors, and compare them with the fixed safety threshold values issued by the state or local government. Once the monitoring value exceeds the standard, the system will trigger an alarm to notify the site management personnel for manual intervention. This method realizes the basic monitoring function to a certain extent, is the standard operating procedure for current shield construction safety monitoring, mainly relies on threshold judgment of a single vibration index, and is simple and intuitive to operate.

[0004] Based on the above problems, the early warning method based on fixed threshold has obvious disadvantages, and the existing system generally lacks closed-loop feedback and self-learning ability, and cannot dynamically optimize the early warning strategy according to the disposal effect of early warning, so that the early warning accuracy cannot be continuously improved in the whole construction period. SUMMARY

[0005] In a first aspect, the application provides a grading early warning method for shield construction environment vibration monitoring data, which adopts the following technical scheme:

[0006] A grading early warning method for shield construction environment vibration monitoring data, comprising the following steps:

[0007] S1, acquiring multi-source monitoring data containing vibration amplitude value, noise level value, construction state parameter and geological feature information, integrating and generating an original perception data set;

[0008] S2, correcting the initial vibration threshold value based on the noise level value of the original perception data set and the preset noise safety limit value, and generating a noise adaptive threshold setting;

[0009] S3, integrating the construction state parameter and the geological feature information, and adjusting the noise adaptive threshold setting to generate a dynamic grading threshold package;

[0010] S4, compare the vibration amplitude value of the original perception data set with the dynamic grading threshold value package, determine and output the current warning level;

[0011] S5, according to the current warning level, generate a control execution signal for data storage, artificial warning or device automatic control;

[0012] S6, when the control execution signal contains device automatic control instruction, reacquire the vibration amplitude value after the execution of the instruction, calculate the change of the vibration amplitude value before and after the execution of the instruction, and combine the current geological feature information to form a response effect data set;

[0013] S7, based on the vibration amplitude value change of the response effect data set and the geological feature information, adjust the triggering condition of the dynamic grading threshold value package, and generate an optimized warning threshold value package for the next monitoring cycle.

[0014] Further schemes of the present application integrate and generate the original perception data set, including the following steps:

[0015] Capture the vibration amplitude value through the vibration sensor array;

[0016] Monitor the noise level value through the noise sensor;

[0017] Obtain the construction state parameters including the propulsion speed value and the load pressure value through the hardware interface connection shield machine control system;

[0018] Detect the geological feature information including the soil hardness and humidity through the geological sensing unit;

[0019] Integrate the vibration amplitude value, the noise level value, the construction state parameters and the geological feature information into the original perception data set.

[0020] Further schemes of the present application generate noise adaptive threshold setting, including the following steps:

[0021] Compare the noise level value in the original perception data set with the preset noise safety limit value;

[0022] When the noise level value exceeds the preset noise safety limit value, increase the initial vibration threshold value according to the preset noise influence correction coefficient;

[0023] Use the corrected or uncorrected initial vibration threshold value as the noise adaptive threshold value setting.

[0024] Further schemes of the present application generate a dynamic grading threshold value package, including the following steps:

[0025] Determine whether the propulsion speed value or the soil hardness value in the original perception data set meets the preset high-risk working condition;

[0026] When the high-risk working condition condition is met, a preset risk correction amount is used to reduce the threshold in the noise adaptive threshold setting to obtain a basic trigger threshold;

[0027] The basic trigger threshold is combined with two other fixed higher-level thresholds to form a dynamic hierarchical threshold package.

[0028] In a further aspect of the present application, the current warning level is determined and output, including the following steps:

[0029] The real-time vibration amplitude value in the original perception data set is compared with the trigger conditions of the light warning, attention warning and emergency warning in the dynamic hierarchical threshold package one by one;

[0030] If the vibration amplitude value does not reach the trigger condition of the light warning, it is determined that the current warning level is the non-response state;

[0031] If the vibration amplitude value reaches the trigger condition of any warning level, the current warning level is assigned to the corresponding warning level.

[0032] In a further aspect of the present application, a control execution signal for data storage, artificial warning or device automatic control is generated, including the following steps:

[0033] When the current warning level is a light warning, a data storage instruction is generated as a control execution signal;

[0034] When the current warning level is an attention warning, an instruction for activating the operating platform flash and sound signal is generated as a control execution signal;

[0035] When the current warning level is an emergency warning, an instruction for sending a speed reduction command to the shield machine control system through a hardware relay and activating a field flash alarm is generated as a control execution signal.

[0036] In a further aspect of the present application, a response effect data set is formed, including the following steps:

[0037] After the control execution signal containing the speed reduction command is sent, the vibration amplitude value is re-acquired through the vibration sensor array;

[0038] The difference between the re-acquired vibration amplitude value and the vibration amplitude value before triggering the emergency warning is calculated to obtain the vibration amplitude value change;

[0039] The vibration amplitude value change is associated with the current geological feature information extracted from the original perception data set to be jointly packaged as a response effect data set.

[0040] In a further aspect of the present application, an optimized warning threshold package for the next monitoring cycle is generated, including the following steps:

[0041] calculating a percentage change of the vibration amplitude value change in the response effect data set relative to the vibration amplitude value before triggering the emergency warning;

[0042] when the percentage change exceeds the preset significance criterion and the soil moisture value in the geological feature information is higher than the preset humid soil limit, adjusting each level of the trigger condition in the dynamic grading threshold value package by a preset ratio;

[0043] when the percentage change is lower than the preset significance criterion, adjusting each level of the trigger condition in the dynamic grading threshold value package by a preset ratio, and finally generating the optimized warning threshold value package.

[0044] In a second aspect, the present application provides a grading early warning system for shield construction environment vibration monitoring data, which adopts the following technical solution:

[0045] A grading early warning system for shield construction environment vibration monitoring data, comprising the following modules:

[0046] A multi-source monitoring data acquisition module acquires multi-source monitoring data containing vibration amplitude values, noise level values, construction state parameters and geological feature information, integrates and generates an original perception data set;

[0047] A noise adaptive threshold correction module corrects the initial vibration threshold value based on the noise level value of the original perception data set and the preset noise safety limit value, and generates a noise adaptive threshold setting;

[0048] A risk dynamic grading threshold generation module integrates the construction state parameters and the geological feature information, adjusts the noise adaptive threshold setting, and generates a dynamic grading threshold value package;

[0049] A real-time vibration level determination module compares the vibration amplitude value of the original perception data set with the dynamic grading threshold value package, determines and outputs the current warning level;

[0050] A grading linkage control module generates control execution signals for data storage, manual warning or device automatic control according to the current warning level;

[0051] An intervention effect quantification module, when the control execution signal contains device automatic control instructions, reacquires the vibration amplitude value after the instructions are executed, calculates the vibration amplitude value change before and after the instructions are executed, and combines the current geological feature information to form a response effect data set;

[0052] A warning strategy self-optimization module adjusts the trigger conditions of the dynamic grading threshold value package based on the vibration amplitude value change in the response effect data set and the geological feature information, and generates an optimized warning threshold value package for the next monitoring cycle.

[0053] In summary, the present application includes the following beneficial technical effects:

[0054] 1. By comprehensively analyzing environmental noise, the base vibration threshold can be dynamically adjusted, effectively filtering out interference signals caused by traffic, surrounding construction and other non-shield factors. The signal-to-noise ratio of the early warning signal is significantly improved, and the false alarm rate of the system is greatly reduced. Compared with the traditional method of treating all vibrations equally, the early warning of the present application is more accurate and reliable, ensuring the seriousness and effectiveness of the alarm and avoiding the disturbance and efficiency loss caused by frequent false alarms to construction management.

[0055] 2. A dynamic early warning model based on construction conditions and geological risks is established, which can adjust the early warning sensitivity in advance according to real-time parameters such as the advance speed of the shield machine, the load pressure, and the hardness and humidity of the soil in front. In high-risk scenarios such as high-speed excavation or crossing soft strata, the system will automatically lower the early warning threshold to achieve earlier risk identification and intervention, thereby upgrading the traditional passive monitoring to active and scenario-aware risk control, greatly enhancing the prevention capability of potential dangers.

[0056] 3. A closed-loop self-optimization mechanism is designed from early warning triggering to intervention response and effect evaluation. After the highest level of emergency warning triggers automatic deceleration control measures, the actual effect of the measure on vibration suppression will be quantified and analyzed in relation to the geological environment at the time. Based on the analysis results, the system will automatically correct the subsequent early warning threshold, allowing the early warning strategy to be continuously iterated and improved in practice. This adaptive learning capability enables the system to better adapt to the complex environment of a specific work site, achieving continuous improvement in early warning accuracy. BRIEF DESCRIPTION OF DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows, and the drawings are used to provide further understanding of the present application, and for those skilled in the art, other drawings can be obtained without creative labor based on these drawings.

[0058] Fig. 1 The flowchart of the embodiment of the present application is disclosed.

[0059] Fig. 2 The structural schematic diagram of the embodiment of the present application is disclosed. DETAILED DESCRIPTION

[0060] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0061] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Figs. 1-2 The preferred detailed description of the present application is as follows.

[0062] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Fig. 1 The present application proposes a hierarchical early warning method for shield construction environment vibration monitoring data, comprising the following steps:

[0063] S1, obtaining multi-source monitoring data containing vibration amplitude value, noise level value, construction state parameter and geological feature information, integrating and generating original perception data set;

[0064] S2, correcting the initial vibration threshold value based on the noise level value of the original perception data set and the preset noise safety limit value, and generating noise adaptive threshold setting;

[0065] S3, integrating the construction state parameter and the geological feature information, and adjusting the noise adaptive threshold setting to generate a dynamic hierarchical threshold package;

[0066] S4, comparing the vibration amplitude value of the original perception data set with the dynamic hierarchical threshold package, determining and outputting the current warning level;

[0067] S5, generating a control execution signal for data storage, artificial warning or device automatic control according to the current warning level;

[0068] S6, when the control execution signal contains device automatic control instruction, reacquiring the vibration amplitude value after the execution of the instruction, calculating the vibration amplitude value change before and after the execution of the instruction, and combining the current geological feature information to form a response effect data set;

[0069] S7, adjusting the trigger condition of the dynamic hierarchical threshold package based on the vibration amplitude value change of the response effect data set and the geological feature information, and generating an optimized warning threshold package for the next monitoring cycle.

[0070] In one of the embodiments of the present application, step S1 comprises the following steps:

[0071] The multi-source monitoring data of the construction site is acquired, including deploying a vibration sensor array in the shield tunneling area to capture vibration amplitude values in real time, deploying a noise sensor in a position susceptible to interference to monitor the current noise level value, connecting the shield machine control system through a hardware interface to acquire the construction state parameters in real time, the construction state parameters including the advance speed value and the load pressure value, the geological sensing unit detecting the hardness and humidity of the tunneling face soil layer to form the geological feature information. The vibration amplitude value, the noise level value, the construction state parameter and the geological feature information generate the original perception data set.

[0072] Specifically, the underground area along the line where the shield machine advances is deployed with a vibration sensor array composed of multiple vibration sensors to capture the vibration amplitude value caused by the construction activity in real time and quantify the measurement result in mm / s, forming a continuous vibration data stream. The vibration amplitude value is a quantitative description of the vibration intensity of a certain point on the ground, usually in the range of 0-50 mm / s according to the national standard for safe vibration of buildings. The positions around the construction area that are susceptible to traffic or other engineering machinery sound interference, such as near roads or construction site entrances, are deployed with noise sensors to monitor the current noise level value, and the noise sensor converts the captured sound intensity into a value in dB units. The noise level value is used to evaluate the potential impact of external interference on vibration monitoring, usually between 30-120 dB according to the urban environmental noise standard.

[0073] Through a standard industrial hardware interface, such as a controller area network bus or a programmable logic controller interface, the data acquisition device is physically connected to the main control system of the shield machine to read and acquire the construction state parameters reflecting the running state of the device in real time. The construction state parameter is a data structure containing multiple key-value pairs to record the core operating indicators of the shield machine, including the advance speed value in mm / min and the load pressure value in MPa. The advance speed value is a floating-point value recorded in the construction state parameter, indicating the speed of the shield machine advancing forward; the load pressure value is another floating-point value recorded in the construction state parameter, representing the pressure borne by the cutter when cutting the soil. The soil to be excavated is detected by the geological sensing unit installed on the cutter or in front of the shield machine, and the hardness and humidity of the tunneling face soil layer are detected and quantified. The hardness and humidity of the soil layer are two values recorded in the geological feature information, representing the firmness and water content of the soil, respectively. According to the statistical analysis of more than 500 geological drilling samples, the two values together constitute the geological feature information, which is used to describe the physical properties of the soil in front of the tunneling.

[0074] The vibration amplitude value, noise level value, construction state parameter and geological feature information of the four sources are all attached with a unified time stamp when collected, and are integrated into an original perception data set. The original perception data set is a time series database table, each row record contains a time stamp and corresponding vibration amplitude value, noise level value, construction state parameter and geological feature information, ensuring the synchronization and integrity of the data.

[0075] The underground area along the line ground represents the ground surface area corresponding to the underground tunnel planning route or axis.

[0076] For example, at 10:00:00 on October 26, 2024, the system obtains a set of multi-source monitoring data. The vibration amplitude value measured by the vibration sensor array deployed 50m away from the excavation point is 6.2mm / s. The noise level value measured by the noise sensor deployed near the road is 85dB. The construction state parameter obtained from the shield machine control system through the hardware interface shows that the advance speed value is 35mm / min and the load pressure value is 0.3MPa. The geological feature information detected by the geological sensing unit installed at the front end of the shield machine is that the soil hardness index is 45 and the humidity is 28%. The complete vibration amplitude value 6.2mm / s, noise level value 85dB, construction state parameter (including advance speed value 35mm / min and load pressure value 0.3MPa) and geological feature information (including soil hardness 45 and humidity 28%) are recorded together, and the time stamp "2024-10-26 10:00:00" constitutes a new record in the original perception data set.

[0077] In one embodiment of the present application, step S2 comprises the following steps:

[0078] The current noise level value in the original perception data set in step S1 is extracted and compared with the preset noise safety limit value. When the noise level value exceeds the noise safety limit value, the initial vibration threshold of the foundation is increased to increase the vibration amplitude required to trigger the alarm, and a noise adaptive threshold setting containing the corrected threshold is generated.

[0079] Specifically, the input original perception dataset reads the latest data record and extracts the noise level value from it, compares this real-time noise level value with the internally stored preset noise safety limit value. If the current noise level value exceeds the preset noise safety limit value, it indicates that the environmental noise of the construction site is large, which may interfere with the reading of the vibration sensor and cause false positives. In order to deal with this situation, the system will automatically start the correction program, which will increase the initial vibration threshold according to the predetermined rules. The purpose of the increase is to compensate for the impact of noise, so that only stronger vibrations caused by shield construction can trigger an alarm. If the current noise level value does not exceed the preset noise safety limit value, the system determines that the current environment is quiet, and the initial vibration threshold does not need to be adjusted and will be used directly. Whether the threshold value after the increase correction or the initial vibration threshold value without correction will be packaged into a new data unit as the final output of this step, i.e. the noise adaptive threshold setting.

[0080] The threshold correction process is quantified by the following formula, which satisfies the formula: T adj = T init + C n × (L n - L lim ), where T adj represents the final vibration threshold in the noise adaptive threshold setting, with the unit of mm / s; T init represents the initial vibration threshold, which is the basic alarm trigger line of the system in a low-noise environment, with the unit of mm / s; C n is the noise influence correction coefficient, which quantifies the degree of influence of noise on the vibration threshold. The noise influence correction coefficient is obtained by regression analysis of 100 groups of vibration data under different noise levels to eliminate dimensional differences, with the unit of mm / s / dB; L n represents the current noise level value obtained from the original perception dataset, with the unit of dB; L lim represents the preset noise safety limit value, with the unit of dB. This formula is only activated when L n > L lim , if L n ≤ L lim , then T adj = T init .

[0081] Wherein, the initial vibration threshold is a pre-set floating-point value, which is the basic trigger standard for vibration alarm. According to the building protection specification of the project site and the preliminary environmental assessment, it is usually set to 5.0 mm / s. The preset noise safety limit value is used to determine whether the environmental noise reaches the level that needs to be compensated for vibration monitoring. According to the statistical analysis of the correlation between noise and vibration sensor false positives in historical monitoring data, it is usually set to 80 dB.

[0082] The noise adaptive threshold setting is a data structure containing a single floating point value, which functions to provide a more accurate vibration threshold reference dynamically adjusted according to the real-time noise environment for subsequent early warning judgment.

[0083] For example, the noise level value contained in the original perception data set is 85 dB, the initial vibration threshold set by the system is 5.0 mm / s, and the preset noise safety limit value is 80 dB. It is found through the comparison operation that 85 dB is greater than 80 dB, and the initial vibration threshold needs to be corrected. According to the field calibration, the noise influence correction coefficient C n is set to 0.2 mm / s / dB. According to the formula, T adj = 5.0 + 0.2 x (85-80) = 5.0 + 1.0 = 6.0 mm / s. The system generates a noise adaptive threshold setting containing a corrected vibration threshold of 6.0 mm / s.

[0084] In one embodiment of the present application, step S3 comprises the following steps:

[0085] The original perception data set extracts the advancing speed value and load pressure value of the construction state parameter, and the soil hardness value and humidity value of the geological feature information. When the advancing speed value is high or the soil hardness value is low, it indicates that the soft soil is at high risk, and the threshold of the noise adaptive threshold setting is lowered to give priority to early warning. The corrected threshold is divided into three warning standards: light warning, attention warning, and emergency warning, forming a dynamic grading threshold package.

[0086] Specifically, first, the original perception data set output in step S1 extracts the advancing speed value in the construction state parameter corresponding to the current timestamp, and the soil hardness value and humidity value in the geological feature information. Compare these real-time parameters with the high-risk working condition threshold set internally. When the advancing speed value exceeds the preset high-risk speed limit value, or the soil hardness value of the geological feature information is lower than the preset soft soil limit value, the system will determine that the current construction environment is at high risk, and a more cautious early warning strategy needs to be adopted.

[0087] The system starts the threshold downshift program, and the threshold of the input noise adaptive threshold setting is reduced by a fixed risk correction amount to obtain a basic trigger threshold, which satisfies the formula: T base = T adj - ΔT risk , T base is the basic threshold used to trigger the lowest level of warning after construction and geological risk adjustment, with the unit of mm / s; T adj is the threshold of the noise adaptive threshold setting in step S2, with the unit of mm / s; ΔT riskis a preset risk correction amount, when the advancing speed value is higher than the preset limit value or the soil layer hardness value is lower than the preset limit value, the preset risk correction amount is set to a positive number, otherwise, it is zero, based on statistical analysis of 200 times of vibration responses under high-risk working conditions, aiming to advance the early warning, and the unit is mm / s.

[0088] If the current working condition does not meet the high-risk condition, it is not adjusted downward, and the value in the noise adaptive threshold setting is directly used as the basic trigger threshold. The system combines the basic trigger threshold determined after risk assessment with another two fixed higher-level thresholds to jointly build a three-level warning standard, which is packaged into a dynamic grading threshold package as the output of this step, defining the trigger conditions of three levels of light warning, attention warning and emergency warning.

[0089] Among them, the dynamic grading threshold package contains three values, corresponding to the trigger vibration amplitude of light warning, attention warning and emergency warning respectively. Light warning is the lowest level of warning, indicating that the vibration has exceeded the safety baseline and needs attention. Attention warning is a medium level of warning, indicating that the vibration has reached a level that requires the operator to intervene in the inspection. Emergency warning is the highest level of warning, indicating that the vibration intensity may pose a threat to the surrounding environment, and immediate control measures should be taken.

[0090] For example, the noise adaptive threshold setting of step S2 contains a corrected threshold of 6.0 mm / s, and the construction state parameter obtained by the original perception data set of step S1 shows that the advancing speed value is 35 mm / min and the geological feature information shows that the soil layer hardness value is 45. Assuming that the high-risk speed limit value is 30 mm / min and the preset soft soil layer limit value is 50. Since the current advancing speed value 35 mm / min is higher than the limit value 30 mm / min, and the soil layer hardness value 45 is lower than the limit value 50, it meets the high-risk working condition. The system applies the preset risk correction amount to adjust the threshold, for example, 1.5 mm / s. The new basic trigger threshold is calculated as follows: T base = 6.0-1.5 = 4.5 mm / s, this basic threshold and the fixed high-level threshold are combined to form a dynamic grading threshold package. The three-level warning standard defined by the dynamic grading threshold package is that the trigger line of light warning is 4.5 mm / s, the trigger line of attention warning is 8 mm / s, and the trigger line of emergency warning is 18 mm / s.

[0091] In one embodiment of the present application, step S4 includes the following steps:

[0092] The original perception data set obtains a current vibration amplitude value, and according to the three-level standard of the dynamic grading threshold value package, whether the vibration amplitude value exceeds the threshold value range is calculated; when the vibration amplitude value does not exceed the light level threshold value, it is determined as a non-response state, and when the vibration amplitude value exceeds the light level threshold value, the current warning level is assigned as a light level warning, a caution warning or an emergency warning, and the current warning level is output.

[0093] Specifically, the latest vibration amplitude value synchronized with the current timestamp is obtained in the original perception data set output in step S1, the system performs a comparison operation to compare the real-time vibration amplitude value with the three-level warning standards set in the dynamic grading threshold value package one by one, and the system judges whether the vibration amplitude value exceeds the threshold value range of the light level warning, the caution warning or the emergency warning. If the vibration amplitude value does not reach the light level warning trigger line in the dynamic grading threshold value package, the system determines the current state as a non-response state. If the vibration amplitude value exceeds the trigger line of the light level warning but does not reach the trigger line of the caution warning, the system assigns the current warning level as a light level warning. Similarly, if the vibration amplitude value falls into the interval of the caution warning, it is assigned as a caution warning; if it exceeds the trigger line of the emergency warning, it is assigned as an emergency warning. The finally assigned warning level is the current warning level output in this step.

[0094] The current warning level is to explicitly determine the risk level evaluated by the current vibration monitoring, and the value can be one of a non-response state, a light level warning, a caution warning or an emergency warning. The non-response state indicates that the real-time vibration amplitude value is lower than the lowest trigger standard of all warning levels, and the system is in a safe monitoring state.

[0095] For example, the dynamic grading threshold value package received by the system defines three-level warning standards, the trigger line of the light level warning is 4.5 mm / s, the trigger line of the caution warning is 8 mm / s, and the trigger line of the emergency warning is 18 mm / s. At the same time, the current vibration amplitude value obtained by the original perception data set is 6.2 mm / s. The system performs a comparison operation, finds that 6.2 mm / s is greater than the trigger line 4.5 mm / s of the light level warning but less than the trigger line 8 mm / s of the caution warning, and determines the current warning level as a light level warning.

[0096] In one embodiment of the application, step S5 comprises the following steps:

[0097] When the current warning level is a light level warning, only data is stored, and no alarm is activated;

[0098] When the current warning level is a caution warning, a flashing light and a sound signal are sent to the operation platform to alert manual inspection;

[0099] When the current warning level is an emergency warning, a speed reduction command is sent to the shield machine control system through a hardware relay, and a local flashing alarm is activated.

[0100] Specifically, first, the input current warning level is read, if the current warning level is light warning, the system will perform data storage operation, that is, record the current vibration data, warning level and related environmental parameters to the log database, but will not activate any form of sound and light alarm, the generated control execution signal only contains internal data recording instruction.

[0101] If the current warning level is attention warning, the system will generate two types of instructions: one is a flashing signal instruction pointing to the operation station, which makes the warning light on its interface start flashing, and the other is a sound signal instruction pointing to the sound playing unit, which triggers the preset prompt sound to alert the operator to conduct manual inspection. If the current warning level is emergency warning, the highest level of response will be triggered, which sends a clear deceleration command to the shield machine control system through the hardware relay to forcibly reduce the tunneling speed; the system also sends an activation signal to the independent flashing alarm installed at the construction site to make it emit strong flashes to alert all on-site personnel. The different instruction sets generated in these three cases collectively constitute the output of this step, that is, the control execution signal.

[0102] Among them, the control execution signal is a data packet or instruction set, which issues specific operation instructions to different parts of the system according to the evaluated risk level. The instructions can be data-level recording actions or control commands interacting with physical devices. The hardware relay is used as a safety interface to convert the low-voltage digital signal from the monitoring system into strong current or specific protocol signals that can drive the receiving port of the shield machine control system, realizing remote control of the shield machine.

[0103] For example, the connection step S4 determines that the current warning level is light warning, according to the preset response rule, the system determines that this level only needs to be recorded and does not need to issue external alarms. The system generates a control execution signal, the specific content of which is a data write instruction. The instruction is sent to the system's data recording module, including "event level: light warning, vibration amplitude value: 6.2mm / s, timestamp: 2024-10-26 10:00:00", after receiving the instruction, the system's data recording module appends this information to the event log file. During the whole process, the warning light of the operation station and the flashing alarm at the site are not activated, and the running speed of the shield machine is not affected.

[0104] In one embodiment of the present application, step S6 includes the following steps:

[0105] After the control execution signal activates the shield machine to decelerate, the vibration amplitude value is re-acquired, the change in vibration amplitude value before and after deceleration is compared, the current geological feature information of the original perception data set is extracted to form a response effect data set.

[0106] Specifically, after the system confirms that the control execution signal containing the deceleration command has been sent to the shield machine control system, the system enters a short waiting period, such as 30s, to ensure that the propulsion speed of the shield machine has actually decreased. After the waiting period ends, the system reacquires the environmental vibration amplitude value through the vibration sensor array. The system retrieves the vibration amplitude value before triggering the emergency warning from the historical record, calculates the difference between the two values to obtain the quantified vibration amplitude value change, which satisfies the following formula: ΔV = V pre -V post ; ΔV represents the vibration amplitude value change, which is used to measure the effectiveness of the deceleration measure, with the unit of mm / s; V pre represents the vibration amplitude value before triggering the emergency warning, with the unit of mm / s; V post represents the vibration amplitude value reacquired after the control execution signal activates the shield machine deceleration, with the unit of mm / s.

[0107] The system again references the original perception data set output in step S1 to extract the latest geological feature information corresponding to the current deceleration response time, i.e., the soil hardness and humidity values. The system combines the calculated vibration amplitude value change with the extracted current geological feature information to form a structured data record, forming a response effect data set.

[0108] Among them, the vibration amplitude value change is a quantitative evaluation of the actual effect of the emergency deceleration measure on suppressing environmental vibration. The response effect data set is a data structure that associates the effect of one emergency intervention measure (vibration amplitude value change) with the geological environment at the time of intervention (geological feature information), providing a key basis for subsequent threshold adaptive optimization.

[0109] For example, assume that at another time, the monitored vibration amplitude value reaches 21.5mm / s, which exceeds the emergency warning trigger line of 18mm / s in the dynamic grading threshold package. It is determined that the current warning level is an emergency warning, and a control execution signal containing a deceleration command is generated and sent to the shield machine. After receiving this signal, this step is started, and after the shield machine completes the deceleration, the vibration amplitude value reacquired by the system is 15.0mm / s. The vibration amplitude value change is calculated, i.e., ΔV = 21.5-15.0 = 6.5mm / s. The original perception data set extracts the current geological feature information as soil hardness 38 and humidity 42%. These two information are integrated to generate the response effect data set, with the content "vibration amplitude value change: 6.5mm / s, geological feature information: {soil hardness: 38, humidity: 42%}".

[0110] In one embodiment of the present application, step S7 includes the following steps:

[0111] In response to the effect data set, the vibration amplitude value change amount is obtained, when the change amount is significant and the current geological feature information shows that the soil layer humidity is high, the threshold value of the subsequent dynamic classification threshold value package is adjusted lower; when the change amount is small or there is no change, the threshold value is adjusted higher to avoid repeated false alarms, and an optimized warning threshold value package is generated for the next monitoring cycle.

[0112] Specifically, the input response effect data set parses the vibration amplitude value change amount, and obtains the vibration amplitude value before triggering the emergency warning from the associated original data, calculates the specific percentage of vibration amplitude change, which meets the formula: P change = (AV / V pre ) x 100%; P change represents the percentage of vibration amplitude value change, which is used to evaluate the relative effect of deceleration response. AV represents the vibration amplitude value change amount from the response effect data set, with the unit of mm / s. V pre represents the vibration amplitude value before triggering the emergency warning, with the unit of mm / s.

[0113] The system extracts the current geological feature information from the response effect data set, especially the soil layer humidity value. The system enters the decision logic, if the calculated vibration deceleration reduction exceeds the preset significant standard, for example 20%, and the current geological feature information shows that the soil layer humidity is higher than the preset humid soil layer limit value, the system determines that the current threshold value is too conservative in the humid soft soil layer, and the deceleration response effect is good, so the threshold value needs to be adjusted lower to achieve earlier warning. If the vibration amplitude value change amount is very small or there is no change, the system considers that the current threshold value may be too sensitive, resulting in unnecessary deceleration intervention, and the threshold value needs to be adjusted higher to avoid repeated false alarms in similar working conditions. According to the judgment results of the two cases, the system adjusts the three-level standard in the dynamic classification threshold value package output by step S3 accordingly, and finally forms the warning threshold value optimized through actual combat test and optimization, and the new threshold value set is the optimized warning threshold value package.

[0114] The optimized warning threshold value package is a package with the same data structure as the dynamic classification threshold value package, but its internal trigger threshold values of light, attention and emergency three-level warnings are the results of dynamic adjustment based on the response effect feedback of the previous emergency warning, so that the whole warning system has self-adaptive learning ability, and continuously optimizes its warning strategy according to the actual construction environment and intervention effect, thereby improving the accuracy of warning.

[0115] For example, the received response effect data set contains a vibration amplitude value change amount of 6.5 mm / s, and the geological feature information shows that the soil layer humidity is 42%. The vibration amplitude value before triggering this emergency warning is 21.5 mm / s, and the vibration amplitude value change percentage is calculated first: P change= (6.5 / 21.5) x 100% ≈ 30.2%, comparing this result with the preset 20% significance criterion, it is found that 30.2% is greater than 20%, indicating that the deceleration response effect is significant. The system compares the current soil humidity 42% with the preset humid soil limit value (for example, 40%), and finds that the humidity is also high. Since both conditions are met, the system decides to lower the warning threshold.

[0116] Assuming that the lower adjustment rule is to reduce all the original dynamic classification threshold values by 5%, the original dynamic classification threshold value package is {light level warning: 4.5 mm / s, attention warning: 8 mm / s, emergency warning: 18 mm / s}. The new threshold values are calculated as follows: the light level warning threshold value becomes 4.5 x (1-0.05) = 4.275 mm / s, the attention warning threshold value becomes 8 x (1-0.05) = 7.6 mm / s, and the emergency warning threshold value becomes 18 x (1-0.05) = 17.1 mm / s. Encapsulating this new set of threshold values {4.275, 7.6, 17.1} generates an optimized warning threshold value package.

[0117] Referring to the accompanying drawings, the present application further provides a shield construction environment vibration monitoring data grading early warning system, comprising the following modules: Fig. 2 The present application further provides a shield construction environment vibration monitoring data grading early warning system, comprising the following modules:

[0118] A multi-source monitoring data acquisition module acquires multi-source monitoring data containing vibration amplitude values, noise level values, construction state parameters and geological feature information, integrates and generates an original perception data set;

[0119] A noise adaptive threshold correction module corrects the initial vibration threshold value based on the noise level value of the original perception data set and the preset noise safety limit value, and generates a noise adaptive threshold setting;

[0120] A risk dynamic classification threshold generation module integrates the construction state parameters and the geological feature information, and adjusts the noise adaptive threshold setting to generate a dynamic classification threshold package;

[0121] A real-time vibration level determination module compares the vibration amplitude value of the original perception data set with the dynamic classification threshold package, determines and outputs the current warning level;

[0122] A grading linkage control module generates a control execution signal for data storage, manual warning or device automatic control according to the current warning level;

[0123] An intervention effect quantification module, when the control execution signal contains a device automatic control instruction, reacquires the vibration amplitude value after the execution of the instruction, calculates the change amount of the vibration amplitude value before and after the execution of the instruction, and combines the current geological feature information to form a response effect data set;

[0124] The early warning strategy self-optimization module adjusts the triggering condition of the dynamic grading threshold package based on the vibration amplitude value change amount of the response effect data set and the geological feature information, and generates an optimized warning threshold package for the next monitoring cycle.

[0125] It should be noted that the above formulas can convert physical quantities of different properties into unitless standard values or same-dimension superimposable parameters through the principle of dimensional consistency and mathematical standardization means (such as normalization processing, dimensionless parameter conversion or unit system unification), thereby eliminating the interference of different dimensions on the operation logic, making the formula retain the original data distribution characteristics while having mathematical operation rationality and objective law adaptability. The above is only an exemplary embodiment of the present application, and cannot limit the scope of the present application.

[0126] The various modules can be realized by software, hardware and their combination in whole or in part, support hardware form embedded in or independent of the processor in the computer device, and also support software form stored in the memory in the computer device, so as to facilitate the processor to call and execute the operations corresponding to the above various modules.

[0127] It should be noted that the human information (including but not limited to human device information and personal information, etc.) and data (including but not limited to data for analysis, stored data and displayed data, etc.) involved in the present application are all information and data authorized by the human body or fully authorized by all parties. The collection, use and processing of relevant data require relevant legal standards.

[0128] The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A hierarchical early warning method for shield construction environment vibration monitoring data, characterized in that, The method comprises the following steps: S1, obtaining multi-source monitoring data including vibration amplitude value, noise level value, construction state parameter and geological feature information, integrating and generating original perception data set; S2, correcting the initial vibration threshold based on the noise level value of the original perception data set and the preset noise safety limit value, and generating noise adaptive threshold setting; S3, integrating the construction state parameter and the geological feature information, and adjusting the noise adaptive threshold setting to generate a dynamic grading threshold package; S4, comparing the vibration amplitude value of the original perception data set with the dynamic grading threshold package to determine and output the current warning level; S5, generating a control execution signal for data storage, manual warning or device automatic control according to the current warning level; S6, when the control execution signal contains device automatic control instructions, reacquiring the vibration amplitude value after the execution of the instructions, calculating the change of the vibration amplitude value before and after the execution of the instructions, and combining the current geological feature information to form a response effect data set; S7, adjusting the trigger condition of the dynamic grading threshold package based on the vibration amplitude value change of the response effect data set and the geological feature information, and generating an optimized warning threshold package for the next monitoring cycle.

2. The hierarchical early warning method for monitoring data of vibration in a shield construction environment according to claim 1, characterized in that, Integrating and generating the original perception data set comprises the following steps: Capturing the vibration amplitude value through the vibration sensor array; Monitoring the noise level value through the noise sensor; Obtaining the construction state parameter including the propulsion speed value and the load pressure value through the hardware interface connection of the shield machine control system; Detecting the geological feature information including the soil hardness and humidity through the geological sensing unit; Integrating the vibration amplitude value, the noise level value, the construction state parameter and the geological feature information into the original perception data set.

3. The hierarchical early warning method for monitoring data of vibration in a shield construction environment according to claim 1, characterized in that, Generating the noise adaptive threshold setting comprises the following steps: Comparing the noise level value in the original perception data set with the preset noise safety limit value; When the noise level value exceeds the preset noise safety limit value, increasing the initial vibration threshold according to the preset noise influence correction coefficient; Taking the corrected or uncorrected initial vibration threshold as the noise adaptive threshold setting.

4. The hierarchical early warning method for TBM environment vibration monitoring data according to claim 1, characterized in that, Generating the dynamic grading threshold package comprises the following steps: Judging whether the propulsion speed value or the soil hardness value in the original perception data set meets the preset high-risk working condition condition; When the high-risk working condition condition is met, lowering the threshold in the noise adaptive threshold setting by a preset risk correction amount to obtain a basic trigger threshold; Combining the basic trigger threshold with another two fixed higher-level thresholds to jointly constitute the dynamic grading threshold package.

5. The hierarchical early warning method for monitoring data of vibration in a shield construction environment according to claim 1, characterized in that, Determining and outputting the current warning level comprises the following steps: Comparing the real-time vibration amplitude value in the original perception data set with the trigger conditions of the light warning, the attention warning and the emergency warning in the dynamic grading threshold package one by one; If the vibration amplitude value does not reach the trigger condition of the light warning, it is determined that the current warning level is the non-response state; If the vibration amplitude value reaches the trigger condition of any warning level, the current warning level is assigned to the corresponding warning level.

6. The hierarchical early warning method for TBM environment vibration monitoring data according to claim 1, characterized in that, Generating the control execution signal for data storage, manual warning or device automatic control comprises the following steps: When the current warning level is light warning, generate data storage instruction as control execution signal; When the current warning level is attention warning, generate instruction for activating operation platform flash and sound signal as control execution signal; When the current warning level is emergency warning, generate instruction for sending deceleration command to shield machine control system through hardware relay and activating on-site flash alarm as control execution signal.

7. The hierarchical early warning method for monitoring data of vibration in a shield construction environment according to claim 1, characterized in that, Form a response effect data set, Comprising the following steps: After sending the control execution signal containing the deceleration command, reacquire the vibration amplitude value through the vibration sensor array; Calculate the difference between the reacquired vibration amplitude value and the vibration amplitude value before triggering the emergency warning to obtain the vibration amplitude value change; Correlate the vibration amplitude value change with the current geological feature information extracted from the original perception data set and jointly encapsulate them as the response effect data set.

8. The hierarchical early warning method for monitoring data of vibration in a shield construction environment according to claim 1, characterized in that, Generate an optimized warning threshold package for the next monitoring cycle, comprising the following steps: Calculate the change percentage of the vibration amplitude value change in the response effect data set relative to the vibration amplitude value before triggering the emergency warning; When the change percentage exceeds the preset significance standard and the soil moisture value in the geological feature information is higher than the preset humid soil limit value, adjust the triggering conditions of each level in the dynamic grading threshold package by a preset ratio; When the change percentage is lower than the preset significance standard, adjust the triggering conditions of each level in the dynamic grading threshold package by a preset ratio to finally generate the optimized warning threshold package.

9. A hierarchical early warning system for shield construction environment vibration monitoring data, characterized in that, Comprise the following modules: Multi-source monitoring data acquisition module, acquire multi-source monitoring data containing vibration amplitude value, noise level value, construction state parameter and geological feature information, integrate and generate original perception data set; Noise adaptive threshold correction module, based on the noise level value of the original perception data set and the preset noise safety limit value, correct the initial vibration threshold to generate noise adaptive threshold setting; Risk dynamic grading threshold generation module, integrate construction state parameter and geological feature information, and adjust noise adaptive threshold setting to generate dynamic grading threshold package; Real-time vibration level determination module, compare the vibration amplitude value of the original perception data set with the dynamic grading threshold package, determine and output the current warning level; Grading linkage control module, according to the current warning level, generate control execution signal for data storage, manual warning or device automatic control; Intervention effect quantification module, when the control execution signal contains device automatic control instruction, reacquire the vibration amplitude value after the instruction execution, calculate the vibration amplitude value change before the instruction execution, and form the response effect data set combined with the current geological feature information; Early warning strategy self-optimization module, based on the vibration amplitude value change and the geological feature information of the response effect data set, adjust the triggering conditions of the dynamic grading threshold package to generate the optimized warning threshold package for the next monitoring cycle.

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