A pile foundation construction monitoring control method and system

Abstract

The application provides a pile foundation construction monitoring control method and system, and relates to the field of pile foundation construction.The method comprises the following steps: acquiring construction equipment operation parameters at multiple time points in a monitoring period; determining a construction equipment safe operation coefficient according to the construction equipment operation parameters; acquiring construction environment monitoring data of a construction area at multiple time points in the monitoring period; processing the construction environment monitoring data according to a trained construction environment risk prediction model to determine a construction environment risk coefficient; acquiring pile foundation performance monitoring data at multiple time points in the monitoring period; determining a pile foundation safety coefficient according to the pile foundation performance monitoring data; and generating a monitoring control report according to the construction equipment safe operation coefficient, the construction environment risk coefficient and the pile foundation safety coefficient.According to the application, the comprehensiveness of pile foundation construction monitoring control can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of pile foundation construction, and in particular to a pile foundation construction monitoring control method and system. BACKGROUND

[0002] In the related art, pile foundation construction monitoring control mainly relies on sensor detection combined with manual monitoring control, that is, mainly relies on human factors, and excessive reliance on human factors may not guarantee the timeliness and accuracy of data processing, resulting in poor real-time performance of monitoring results and limited accuracy of monitoring results.

[0003] The information disclosed in the background section of this application is only intended to deepen the understanding of the general background of the present application, and should not be regarded as acknowledging or implying in any form that the information constitutes prior art known to those skilled in the art. SUMMARY

[0004] The present application provides a pile foundation construction monitoring control method and system, which can solve the technical problem of related art that cannot guarantee the real-time performance and accuracy of monitoring results.

[0005] According to a first aspect of the present application, a pile foundation construction monitoring control method is provided, comprising: acquiring construction equipment operation parameters at multiple time points of a monitoring period, wherein the construction equipment operation parameters include: rig operation parameters, pile hammer parameters and static pile press parameters; determining a construction equipment safe operation coefficient according to the construction equipment operation parameters; acquiring construction environment monitoring data of a construction area at multiple time points of the monitoring period, wherein the construction environment monitoring data includes: monitoring point settlement, soil displacement, pore water pressure and construction environment rainfall; processing the construction environment monitoring data according to a trained construction environment risk prediction model to determine a construction environment risk coefficient; acquiring pile foundation performance monitoring data at multiple time points of the monitoring period, wherein the pile foundation performance monitoring data includes: hole forming quality data and concrete quality data; determining a pile foundation safety coefficient according to the pile foundation performance monitoring data; and generating a monitoring control report according to the construction equipment safe operation coefficient, the construction environment risk coefficient and the pile foundation safety coefficient.

[0006] According to the present application, the construction equipment safe operation coefficient is determined according to the construction equipment operation parameters, comprising: determining the rig rotation speed, rig torque and rig lifting force according to the rig operation parameters; determining the hammering energy, hammering frequency and penetration according to the pile hammer parameters; determining the pile pressing force, oil cylinder stroke difference and pile pressing speed according to the static pile press parameters; and determining the construction equipment safe operation coefficient according to the rig rotation speed, rig torque, rig lifting force, hammering energy, hammering frequency, penetration, pile pressing force, oil cylinder stroke difference and pile pressing speed.

[0007] According to the present application, according to the rig rotation speed, the rig torque, the rig lifting force, the hammer energy, the hammer frequency, the penetration, the pile pressing force, the cylinder stroke difference and the pile pressing speed, the construction equipment safe operation coefficient is determined, including: according to the hammer energy, the hammer frequency and the penetration, the pile hammer operation safety coefficient is determined; according to the rig rotation speed, the rig torque and the rig lifting force, the rig operation safety coefficient is determined; according to the pile pressing force, the cylinder stroke difference and the pile pressing speed, the static pile press operation safety coefficient is determined; according to the rig operation safety coefficient, the pile hammer operation safety coefficient and the static pile press operation safety coefficient, the construction equipment safe operation coefficient is determined, wherein, if the pile hammer operation safety coefficient is less than 3, it indicates that the pile hammer operation is abnormal, then the pile hammer operation safety result is 0, otherwise, the pile hammer operation safety result is 1, if the rig operation safety coefficient is less than 3, it indicates that the rig operation is abnormal, then the rig operation safety result is 0, otherwise, the rig operation safety result is 2, if the static pile press operation safety coefficient is less than 3, it indicates that the static pile press operation is abnormal, then the static pile press operation safety result is 0, otherwise, the static pile press operation safety result is 4, according to the pile hammer operation safety result, the rig operation safety result and the static pile press operation safety result, the construction equipment safe operation coefficient is determined by summation.

[0008] According to the application, the training step of the construction environment risk prediction model comprises: obtaining historical construction logs of a historical construction area in a historical construction period; determining historical monitoring point settlement amounts, historical soil displacement amounts, historical pore water pressures and historical construction environment rainfall amounts of multiple time points in the historical construction period according to the historical construction logs; determining historical safety alarm records corresponding to each time point in the historical construction period according to the historical construction logs; determining historical safety alarm occurrence times, historical safety alarm levels, historical safety alarm content identification results and historical alarm processing times according to the historical safety alarm records; determining a historical construction environment risk coefficient according to the historical safety alarm occurrence times, the historical safety alarm levels, the historical safety alarm content identification results and the historical alarm processing times; processing the historical monitoring point settlement amounts, the historical soil displacement amounts, the historical pore water pressures and the historical construction environment rainfall amounts according to the construction environment risk prediction model to determine a sample predicted construction environment risk coefficient, wherein the construction environment risk prediction model belongs to a kind of neural network model, and comprises data preprocessing and input layer, feature extraction layer, feature fusion layer and decision and output layer, the construction environment risk prediction model is trained through historical data, so that the construction environment risk prediction model can predict the construction environment risk coefficient; determining a training loss function of the construction environment risk prediction model according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement amount, the historical soil displacement amount, the historical pore water pressure and the historical construction environment rainfall amount; training the construction environment risk prediction model according to the training loss function to obtain a trained construction environment risk prediction model.

[0009] According to the application, the historical construction environment risk coefficient is determined according to the historical safety alarm occurrence times, the historical safety alarm levels, the historical safety alarm content identification results and the historical alarm processing times, comprising: determining the historical construction environment risk coefficient of the historical safety alarm record corresponding to the k time point of the i historical construction period according to the formula: ​​​​​​​a historical safety alarm occurrence time of a historical safety alarm record corresponding to the kth moment of the ith historical construction period, a preset occurrence time threshold.

[0010] According to the present application, the training loss function of the construction environment risk prediction model is determined according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall, comprising: according to the formula: determining the training loss function of the construction environment risk prediction model wherein max is a maximum value function, a sample predicted construction environment risk coefficient of the kth moment of the ith historical construction period, a historical construction environment risk coefficient of a historical safety alarm record corresponding to the kth moment of the ith historical construction period, a historical monitoring point settlement of the jth monitoring point at the kth moment of the ith historical construction period, a preset settlement threshold, a historical soil displacement at the kth moment of the ith historical construction period, a preset soil displacement threshold, a historical pore water pressure at the kth moment of the ith historical construction period, a preset pore water pressure threshold, a historical construction environment rainfall at the kth moment of the ith historical construction period, a preset environmental rainfall threshold, n is the number of historical construction periods, i≤n, K is the number of moments of the historical construction period, k≤K, m is the number of monitoring points, j≤m, i, n, k, K, j and m are all positive integers.

[0011] According to the application, the pile foundation safety coefficient is determined according to the pile foundation performance monitoring data, including: determining the hole depth and the hole diameter according to the hole forming quality data; determining the hole forming quality coefficient according to the hole depth and the hole diameter; determining the concrete mix proportion and the actual poured concrete volume according to the concrete quality data; determining the mix proportion qualified result according to the concrete mix proportion; obtaining the theoretical volume of poured concrete; determining the filling coefficient according to the actual poured concrete volume and the theoretical volume of poured concrete; determining the necking qualified result according to the filling coefficient; determining the concrete quality coefficient according to the mix proportion qualified result and the necking qualified result; determining the pile foundation safety coefficient according to the hole forming quality coefficient and the concrete quality coefficient; if the hole depth reaches the design bearing stratum depth and the hole diameter is within the design hole diameter range, indicating that the hole forming quality meets the standard, the hole forming quality coefficient is 1, if the hole depth does not reach the design bearing stratum depth or the hole diameter is not within the design hole diameter range, the hole forming quality coefficient is 0; summing the hole forming quality coefficient and the concrete quality coefficient to determine the pile foundation safety coefficient.

[0012] According to the second aspect of the application, a pile foundation construction monitoring control system is provided, including: an operating parameter module for obtaining construction equipment operating parameters at multiple times of a monitoring period, wherein the construction equipment operating parameters include: drilling rig operating parameters, pile hammer parameters and static pile press parameters; an operating coefficient module for determining construction equipment safe operating coefficients according to the construction equipment operating parameters; an environmental data module for obtaining construction environment monitoring data of a construction area at multiple times of a monitoring period, wherein the construction environment monitoring data includes: monitoring point settlement, soil displacement, pore water pressure and construction environment rainfall; an environmental risk module for processing the construction environment monitoring data according to a trained construction environment risk prediction model to determine a construction environment risk coefficient; a pile foundation data module for obtaining pile foundation performance monitoring data at multiple times of a monitoring period, wherein the pile foundation performance monitoring data includes: hole forming quality data and concrete quality data; a pile foundation safety module for determining a pile foundation safety coefficient according to the pile foundation performance monitoring data; a report generation module for generating a monitoring control report according to the construction equipment safe operating coefficients, the construction environment risk coefficient and the pile foundation safety coefficient.

[0013] Technical effects: According to the present application, the safety status of the construction equipment, the construction safety status and the safety status of the pile foundation during the construction process can be monitored, the construction equipment safety operation coefficient, the construction environment risk coefficient and the pile foundation safety coefficient are determined, and the monitoring control report is generated, which improves the comprehensiveness of the pile foundation construction monitoring control. When determining the historical construction environment risk coefficient, the historical construction environment risk coefficient can be determined according to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification result and the historical alarm processing time. In the calculation process, the historical construction environment risk coefficient can be determined according to the safety alarm level, the safety alarm content, the processing time and the occurrence time, so that the historical construction environment risk coefficient can reflect the danger degree, the emergency degree and the influence range of the safety event that the current construction environment may cause, and the comprehensiveness and accuracy of the historical construction environment risk coefficient are improved. When determining the training loss function, the training loss function of the construction environment risk prediction model can be determined according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall. In the calculation process, the influence of the monitoring point settlement, the soil displacement, the pore water pressure and the rainfall on the severity of the safety event that may occur during the construction process can be determined, and the influence of the above data on the error of the sample predicted construction environment risk coefficient is determined based on the influence and the relative error of the sample predicted construction environment risk coefficient. The training loss function is set, so that the construction environment risk prediction model in the training process makes the training loss function decrease, and more targetedly improves the precision of the construction environment risk prediction model.

[0014] It should be understood that the above general description and the following detailed description are exemplary and explanatory, but not limiting the present application. Other features and aspects of the present application will be more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other embodiments from these drawings without creative labor;

[0016] Figure 1 Exemplarily show the flow chart of the pile foundation construction monitoring control method according to the embodiment of the present application;

[0017] Figure 2 Exemplarily show the flow chart of determining the construction equipment safety operation coefficient according to the embodiment of the present application;

[0018] Figure 3 An exemplary flow chart of determining a pile foundation safety factor according to an embodiment of the present application is shown.

[0019] Figure 4 An exemplary block diagram of a pile foundation construction monitoring control system according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0020] To make the objectives, technical solutions and advantages of embodiments of the present application clearer, the technical solutions in embodiments of the present application will be described clearly and completely below with reference to the drawings in embodiments of the present application. Obviously, the described embodiments are only part of, rather than all of, embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0021] The technical solutions of the present application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and some embodiments can not be described again for the same or similar concepts or processes.

[0022] Figure 1 An exemplary flow chart of a pile foundation construction monitoring control method according to an embodiment of the present application is shown, which comprises: step S1, acquiring construction equipment operation parameters at multiple time points in a monitoring period, wherein the construction equipment operation parameters comprise drill operation parameters, pile hammer parameters and static pile press parameters; step S2, determining a construction equipment safe operation factor according to the construction equipment operation parameters; step S3, acquiring construction environment monitoring data of a construction area at multiple time points in the monitoring period, wherein the construction environment monitoring data comprises monitoring point settlement, soil displacement, pore water pressure and construction environment rainfall; step S4, processing the construction environment monitoring data according to a trained construction environment risk prediction model to determine a construction environment risk factor; step S5, acquiring pile foundation performance monitoring data at multiple time points in the monitoring period, wherein the pile foundation performance monitoring data comprises hole forming quality data and concrete quality data; step S6, determining a pile foundation safety factor according to the pile foundation performance monitoring data; and step S7, generating a monitoring control report according to the construction equipment safe operation factor, the construction environment risk factor and the pile foundation safety factor.

[0023] The pile foundation construction monitoring control method according to the embodiments of the present application can monitor the safety conditions of construction equipment, the safety conditions of construction and the safety conditions of pile foundations in the construction process, determine the construction equipment safe operation factor, the construction environment risk factor and the pile foundation safety factor, and generate a monitoring control report, thereby improving the comprehensiveness of pile foundation construction monitoring control.

[0024] According to one embodiment of the present application, in step S1, the construction equipment operation parameters are acquired at multiple time points in the monitoring period, wherein the construction equipment operation parameters include: rig operation parameters, hammer parameters and static pile press parameters.

[0025] For example, the construction equipment operation parameters of the construction equipment, such as rig speed, hammer energy and pile press force, are acquired in the monitoring period by sensors (such as pressure sensors, torque sensors, acceleration sensors, laser displacement sensors and hydraulic sensors) arranged in the construction equipment (such as rigs, hammers and static pile presses).

[0026] According to one embodiment of the present application, in step S2, the construction equipment safety operation coefficient is determined according to the construction equipment operation parameters.

[0027] Figure 2 An exemplary flow chart of determining the construction equipment safety operation coefficient according to an embodiment of the present application is shown.

[0028] According to one embodiment of the present application, step S2 includes: step S21, determining the rig speed, rig torque and rig lifting force according to the rig operation parameters; step S22, determining the hammer energy, hammer frequency and penetration according to the hammer parameters; step S23, determining the pile press force, cylinder stroke difference and pile press speed according to the static pile press parameters; and step S24, determining the construction equipment safety operation coefficient according to the rig speed, the rig torque, the rig lifting force, the hammer energy, the hammer frequency, the penetration, the pile press force, the cylinder stroke difference and the pile press speed.

[0029] For example, the rig speed, rig torque and rig lifting force of the rig are acquired by wireless gyroscopes and hydraulic pressure sensors; the impact instantaneous speed is acquired by acceleration sensors, the hammer energy is acquired according to the impact instantaneous speed and the hammer mass, the hammer frequency and the penetration are acquired by vibration sensors and laser displacement sensors; the cylinder pressure is acquired by hydraulic sensors, the pile press force is determined according to the cylinder pressure, the number of cylinders and the effective area of single cylinder piston, the cylinder stroke difference and the pile press speed are acquired by displacement sensors; the safety operation condition of the construction equipment is evaluated according to the rig speed, the rig torque, the rig lifting force, the hammer energy, the hammer frequency, the penetration, the pile press force, the cylinder stroke difference and the pile press speed, and the construction equipment safety operation coefficient is determined.

[0030] According to one embodiment of the present application, step S24 comprises: step S241, determining a pile hammer operation safety factor according to the hammer energy, the hammer frequency and the penetration; step S242, determining a rig operation safety factor according to the rig rotation speed, the rig torque and the rig lifting force; step S243, determining a static pile press operation safety factor according to the pile pressing force, the cylinder stroke difference and the pile pressing speed; step S244, determining a construction equipment safe operation factor according to the rig operation safety factor, the pile hammer operation safety factor and the static pile press operation safety factor, wherein, if the pile hammer operation safety factor is less than 3, it indicates that the pile hammer operation is abnormal, then the pile hammer operation safety result is 0, otherwise, the pile hammer operation safety result is 1; if the rig operation safety factor is less than 3, it indicates that the rig operation is abnormal, then the rig operation safety result is 0, otherwise, the rig operation safety result is 2; if the static pile press operation safety factor is less than 3, it indicates that the static pile press operation is abnormal, then the static pile press operation safety result is 0, otherwise, the static pile press operation safety result is 4; summing the pile hammer operation safety result, the rig operation safety result and the static pile press operation safety result to determine the construction equipment safe operation factor.

[0031] For example, if the hammering energy is greater than the preset hammering energy threshold value (70% of the pile body compressive strength design value), it may cause the pile head to break, the hammering energy safety result is 0, otherwise, the hammering energy safety result is 1, if the hammering frequency is greater than the preset hammering frequency threshold value (2 times per minute), it may cause the pile body concrete to accumulate fatigue damage, the hammering frequency safety result is 0, otherwise, the hammering frequency safety result is 1, if the penetration is greater than the preset penetration threshold value (100mm / 10 strokes in soft soil, 20mm / 10 strokes in hard rock), it may cause the pile end to not enter the bearing stratum, and the single pile bearing capacity is insufficient, the penetration safety result is 0, if the penetration is less than or equal to the preset penetration threshold value, it indicates that the penetration is normal, the penetration safety result is 1, the hammering energy safety result, the hammering frequency safety result and the penetration safety result are summed to determine the pile hammer operation safety factor; if the drilling machine speed does not meet the preset drilling machine speed threshold range (20rpm-60rpm), it may cause excessive wear of the drill bit in the sand layer, increase the risk of bit balling or low drilling efficiency in clay layer, prolong the hole forming time, the drilling machine speed safety result is 0, otherwise, the speed safety result is 1, if the drilling machine torque is greater than the preset drilling machine torque threshold value (80% of the rated value), it may cause the drill pipe stress to approach the yield point, and the fatigue life to be reduced by more than 50%, the drilling machine torque safety result is 0, otherwise, the drilling machine torque safety result is 1, if the deviation of the drilling machine lifting force and the lifting force theoretical calculation value (determined according to the drilling machine lifting force synthesis calculation method) is greater than 15%, it indicates that the lifting force is insufficient or the lifting force is out of limit, which may cause the probability of drill sticking accidents to rise, the drilling machine lifting force safety result is 0, otherwise, the drilling machine lifting force safety result is 1, the drilling machine speed safety result, the drilling machine torque safety result and the drilling machine lifting force safety result are summed to determine the drilling machine operation safety factor; if the pile pressing force is less than 1.5 times the design bearing capacity and greater than the pile body compressive strength, it indicates that the end bearing pile has not been pressed to the bearing stratum, the completion acceptance bearing capacity is not up to standard, and the pile body may be cracked, the pile pressing force safety result is 0, otherwise, the pile pressing force safety result is 1, if the adjacent cylinder stroke difference is greater than 10%, it indicates that the adjacent cylinder pressure is uneven, and the long-term over-limit operation, the adjacent cylinder stroke difference safety result is 0, otherwise, the cylinder stroke difference safety result is 1, if the pile pressing speed is greater than the preset pile pressing speed threshold value (1m / min in soft soil, 0.If the pile head concrete collapses at the angle, the pile pressing speed safety result is 0, otherwise, the pile pressing speed safety result is 1, the static pile press operation safety factor is determined according to the pile pressing force safety result, the cylinder stroke difference safety result and the pile pressing speed safety result; if the pile hammer operation safety factor is less than 3, it indicates that the pile hammer operation is abnormal, and the pile hammer operation safety result is 0, otherwise, the pile hammer operation safety result is 1; if the drilling machine operation safety factor is less than 3, it indicates that the drilling machine operation is abnormal, and the drilling machine operation safety result is 0, otherwise, the drilling machine operation safety result is 2; if the static pile press operation safety factor is less than 3, it indicates that the static pile press operation is abnormal, and the static pile press operation safety result is 0, otherwise, the static pile press operation safety result is 4; the construction equipment safe operation factor is determined according to the pile hammer operation safety result, the drilling machine operation safety result and the static pile press operation safety result.

[0032] According to one embodiment of the present application, in step S3, construction environment monitoring data of the construction area is obtained at multiple time points of the monitoring period, wherein the construction environment monitoring data includes: monitoring point settlement, soil displacement, pore water pressure and construction environment rainfall.

[0033] For example, the horizontal displacement of the soil at a certain depth, i.e. the soil displacement, is obtained by arranging a inclinometer tube outside the foundation pit or adjacent to important facilities, monitoring points are set at positions such as the ground surface, roads, pipelines and the like around the foundation pit to obtain the ground surface settlement of the monitoring points, i.e. the monitoring point settlement, the construction environment rainfall is obtained by setting a rainfall sensor around the foundation pit, and the pore water pressure is obtained by a vibrating string type pore water pressure gauge arranged radially with the pile center as the center.

[0034] According to one embodiment of the present application, in step S4, the construction environment monitoring data is processed according to the trained construction environment risk prediction model to determine a construction environment risk factor.

[0035] For example, the construction environment monitoring data is processed according to the trained construction environment risk prediction model to predict the dangerous condition of the safety event that will occur caused by the current construction environment, i.e. the construction environment risk factor.

[0036] According to one embodiment of the present application, the training step of the construction environment risk prediction model comprises: obtaining historical construction logs of a historical construction area in a historical construction period; determining historical monitoring point settlement, historical soil displacement, historical pore water pressure, and historical construction environment rainfall at multiple time points in the historical construction period according to the historical construction logs; determining historical safety alarm records corresponding to each time point in the historical construction period according to the historical construction logs; determining historical safety alarm occurrence time, historical safety alarm level, historical safety alarm content identification result, and historical alarm processing time according to the historical safety alarm records; determining a historical construction environment risk coefficient according to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification result, and the historical alarm processing time; processing the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure, and the historical construction environment rainfall according to the construction environment risk prediction model to determine a sample predicted construction environment risk coefficient, wherein the construction environment risk prediction model belongs to a kind of neural network model, comprising: data preprocessing and input layer, feature extraction layer, feature fusion layer, and decision and output layer, the construction environment risk prediction model is trained through historical data, so that the construction environment risk prediction model can predict the construction environment risk coefficient; determining a training loss function of the construction environment risk prediction model according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure, and the historical construction environment rainfall; training the construction environment risk prediction model according to the training loss function to obtain a trained construction environment risk prediction model.

[0037] For example, the historical data used to train the construction environment risk prediction model includes: historical construction logs, historical monitoring point settlement amounts, historical soil displacement amounts, historical pore water pressures, and historical construction environment rainfall amounts, the historical construction logs of a historical construction area similar to the current construction soil in a historical construction period are obtained during pile foundation construction; the historical monitoring point settlement amounts, the historical soil displacement amounts, the historical pore water pressures, and the historical construction environment rainfall amounts in the historical construction period are obtained; according to the historical construction logs, the historical safety alarm records corresponding to each time in the historical construction period are determined, for example, the historical safety alarm record corresponding to the first time in the historical construction period is the safety alarm record within twelve hours after the time; according to the historical safety alarm record, the time of the safety alarm occurrence time from the corresponding time is determined, that is, the historical safety alarm occurrence time (for example, the first time of the historical construction period is 9:00, and the corresponding historical safety alarm record occurs at 10:00, so the historical safety alarm occurrence time is 1h), according to the historical safety alarm record, the historical safety alarm level (divided into 1st, 2nd and 3rd, 3rd most serious, 2nd) is determined, according to the historical safety alarm record, the processing time of the alarm is determined, that is, the historical alarm processing time, according to the historical safety alarm record, the content of the alarm is determined, such as foundation pit instability collapse, pile foundation deviation failure and adjacent facility damage, according to the content of the alarm, the historical safety alarm content identification result is determined, such as when the content of the alarm is the alarm in the construction range of foundation pit instability collapse and pile foundation deviation failure, the safety hidden danger range is smaller, and the historical safety alarm content identification result is 1, and when the content of the alarm is the alarm of adjacent facility damage and the like affecting the surrounding environment, the safety hidden danger range is larger, and the historical safety alarm content identification result is 2; according to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification result and the historical alarm processing time, the danger degree and the influence range of the safety alarm are evaluated, and the historical construction environment risk coefficient is determined; according to the construction environment risk prediction model, the historical monitoring point settlement amounts, the historical soil displacement amounts, the historical pore water pressures and the historical construction environment rainfall amounts are processed, and the severity and influence range of the possible dangerous phenomenon predicted according to the current monitoring data are generated, that is, the sample predicted construction environment risk coefficient; according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement amount, the historical soil displacement amount, the historical pore water pressure and the historical construction environment rainfall, the training loss function of the construction environment risk prediction model is determined; according to the training loss function, the construction environment risk prediction model is trained, the accuracy of the construction environment risk prediction model is improved, and the trained construction environment risk prediction model is obtained.

[0038] According to one embodiment of the present application, the historical construction environment risk coefficient is determined according to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification result and the historical alarm processing time, comprising: determining the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the ith historical construction period according to formula (1) ,

[0039] (1)

[0040] wherein, is the historical safety alarm level of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, is the historical safety alarm content identification result of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, , is the historical alarm processing time of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, is a preset processing time threshold, is the historical safety alarm occurrence time of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, is a preset occurrence time threshold.

[0041] According to one embodiment of the present application, is the historical safety alarm level of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, the higher the historical safety alarm level, the more serious the safety event, is the historical safety alarm content identification result of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, , the larger the impact range of the safety event, the more serious the consequences, is the relative difference between the historical alarm processing time of the historical safety alarm record corresponding to the kth moment of the ith historical construction period and the preset processing time threshold, the larger the ratio, the longer the historical alarm processing time of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, indicating that the safety event is more serious and needs longer time for processing, which can be set to 1 day, is the relative difference between the preset occurrence time threshold and the historical safety alarm occurrence time of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, the larger the ratio, the shorter the historical safety alarm occurrence time of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, indicating that the safety event is likely to occur in a short time and protective measures need to be taken, It can be set to 6 hours.

[0042] According to one embodiment of the present application, indicates that according to the safety alarm level, the safety alarm content, the processing time and the occurrence time, the historical construction environment risk coefficient is determined.

[0043] In this way, the historical construction environment risk coefficient can be determined according to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification result and the historical alarm processing time. In the calculation process, the historical construction environment risk coefficient can be determined according to the safety alarm level, the safety alarm content, the processing time and the occurrence time, so that the historical construction environment risk coefficient can reflect the danger degree, the emergency degree and the influence range of the safety event that the current construction environment may cause, and the comprehensiveness and accuracy of the historical construction environment risk coefficient are improved.

[0044] According to one embodiment of the present application, the training loss function of the construction environment risk prediction model is determined according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall, comprising: determining the training loss function of the construction environment risk prediction model according to formula (2) ,

[0045] (2)

[0046] Wherein, max is the maximum value function, is the sample predicted construction environment risk coefficient of the kth moment of the ith historical construction period, is the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, is the historical monitoring point settlement of the jth monitoring point at the kth moment of the ith historical construction period, is a preset settlement threshold, is the historical soil displacement of the kth moment of the ith historical construction period, is a preset soil displacement threshold, is the historical pore water pressure of the kth moment of the ith historical construction period, is a preset pore water pressure threshold, is the historical construction environment rainfall of the kth moment of the ith historical construction period, is a preset environmental rainfall threshold, n is the number of historical construction periods, i≤n, K is the number of moments of the historical construction period, k≤K, m is the number of monitoring points, j≤m, i, n, k, K, j and m are all positive integers.

[0047] According to one embodiment of the present application, is the maximum value of the historical monitoring point settlement of the m monitoring points at the kth moment of the ith historical construction period, the maximum value processing can be used to determine the most abnormal settlement condition in the multiple monitoring points, is the ratio of the maximum value of the historical monitoring point settlement of the m monitoring points at the kth moment of the ith historical construction period to the preset settlement threshold value, the larger the ratio, the larger the maximum value of the historical monitoring point settlement of the m monitoring points, 1mm can be set, , is the average value of the historical monitoring point settlement of the m monitoring points at the kth moment of the ith historical construction period, is the ratio of the average value of the historical monitoring point settlement of the m monitoring points at the kth moment of the ith historical construction period to the preset settlement threshold value, the larger the ratio, the larger the average value of the historical monitoring point settlement of the m monitoring points at the kth moment of the ith historical construction period, is the ratio of the historical soil displacement at the kth moment of the ith historical construction period to the preset soil displacement threshold value, the larger the ratio, the larger the historical soil displacement, and the preset soil displacement threshold value can be set to 1cm, The maximum value of the historical monitoring point settlement, the average value of the historical monitoring point settlement, and the historical soil displacement are positively correlated with the size of the sample predicted construction environment risk coefficient. For example, the maximum value of the settlement usually occurs in the center of the pile group, the area adjacent to the existing building or underground pipeline, and the extreme influence directly exposed to the soil squeezing effect or soil disturbance. When the maximum value of the historical monitoring point settlement of multiple monitoring points is larger, it may cause cracks in the surrounding building foundation or underground pipeline rupture, and the more serious safety incidents that may occur during the construction process, the larger the sample predicted construction environment risk coefficient. When the average value of the historical monitoring point settlement of multiple monitoring points is larger, it may indicate that the overall soil squeezing effect of the construction area is out of control, resulting in large-scale ground subsidence (such as road cracking), and the more serious safety incidents that may occur during the construction process, the larger the sample predicted construction environment risk coefficient. When the historical soil displacement is larger, it may cause deep landslide and pose a safety threat to adjacent structures, and the more serious safety incidents that may occur during the construction process, the larger the sample predicted construction environment risk coefficient, , and The larger the value of the sample predicted construction environment risk coefficient, the larger the value of the sample predicted construction environment risk coefficient.

[0048] According to one embodiment of the present application, is the ratio of the historical pore water pressure at the kth moment of the ith historical construction period to the preset pore water pressure threshold value, the larger the ratio, the larger the historical pore water pressure, may be set to 1 MPa, a ratio of the historical construction environment rainfall at the kth moment of the ith historical construction period to the preset environment rainfall threshold, the larger the ratio, the larger the historical construction environment rainfall, may be set to 1 mm, indicates that the historical pore water pressure and the historical construction environment rainfall are positively correlated with the size of the sample predicted construction environment risk coefficient, for example, the larger the historical pore water pressure, the lower the effective stress of the soil, the more serious the safety event that may occur during the construction process, and the larger the sample predicted construction environment risk coefficient, when the historical construction environment rainfall is larger, it may cause the bearing capacity of the soil to drop sharply, and the safety event that may occur during the construction process is more serious, and the sample predicted construction environment risk coefficient is larger, and the larger the value, the larger the value of the sample predicted construction environment risk coefficient.

[0049] According to one embodiment of the present application, is the relative error of the sample predicted construction environment risk coefficient at the kth moment of the ith historical construction period and the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, and the historical safety alarm record is obtained by and The relative errors of the sample predicted construction environment risk coefficient and the historical construction environment risk coefficient are weighted and averaged to obtain a training loss function. In the training process, the training loss function is reduced, thereby reducing the error between the sample predicted construction environment risk coefficient and the historical construction environment risk coefficient, improving the prediction accuracy of the construction environment risk prediction model for the construction environment risk coefficient, and thereby improving the accuracy of the construction environment risk prediction model.

[0050] In this way, the training loss function of the construction environment risk prediction model can be determined according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall. In the calculation process, the influence of the monitoring point settlement, the soil displacement, the pore water pressure and the rainfall on the severity of the safety event that may occur during the construction process can be determined, and the training loss function is set based on the influence and the relative error of the sample predicted construction environment risk coefficient, so that the construction environment risk prediction model reduces the training loss function in the training process, and more targetedly improves the accuracy of the construction environment risk prediction model.

[0051] According to one embodiment of the present application, in step S5, pile foundation performance monitoring data is acquired at multiple time points of a monitoring period, wherein the pile foundation performance monitoring data comprises hole forming quality data and concrete quality data.

[0052] According to one embodiment of the present application, in step S6, a pile foundation safety factor is determined according to the pile foundation performance monitoring data.

[0053] Figure 3 An exemplary flowchart of determining a pile foundation safety factor according to an embodiment of the present application is shown.

[0054] According to one embodiment of the present application, step S6 comprises: step S61, determining a hole depth and a hole diameter according to the hole forming quality data; step S62, determining a hole forming quality factor according to the hole depth and the hole diameter; step S63, determining a concrete mix proportion and an actual poured concrete volume according to the concrete quality data; step S64, determining a mix proportion qualified result according to the concrete mix proportion; step S65, acquiring a theoretical poured concrete volume; step S66, determining a filling factor according to the actual poured concrete volume and the theoretical poured concrete volume; step S67, determining a necking qualified result according to the filling factor; step S68, determining a concrete quality factor according to the mix proportion qualified result and the necking qualified result; and step S69, determining a pile foundation safety factor according to the hole forming quality factor and the concrete quality factor, wherein the hole forming quality factor is 1 if the hole depth reaches a design bearing stratum depth and the hole diameter is within a design hole diameter range, indicating that the hole forming quality meets a standard, and the hole forming quality factor is 0 if the hole depth does not reach the design bearing stratum depth or the hole diameter is not within the design hole diameter range; and the pile foundation safety factor is determined by summing the hole forming quality factor and the concrete quality factor.

[0055] For example, the hole depth and hole diameter are detected by an ultrasonic hole diameter and hole depth detector; according to the construction file, the design bearing stratum depth and design hole diameter are determined, if the hole depth reaches the design bearing stratum depth and the hole diameter is within the design hole diameter range, it is indicated that the hole forming quality meets the standard, and the hole forming quality coefficient is 1, if the hole depth does not reach the design bearing stratum depth or the hole diameter is not within the design hole diameter range, the hole forming quality coefficient is 0; the concrete mixing ratio and the actual poured concrete volume are detected by on-site verification; according to the comparison between the concrete mixing ratio and the design value, if the cement dosage deviation exceeds 1% or the water-binder ratio deviation exceeds 0.02 or the sand ratio deviation exceeds 2%, the mixing ratio qualified result is 0, indicating unqualified, otherwise, the mixing ratio qualified result is 1, indicating qualified; the design pile diameter and design pile length are determined according to the design parameters, the theoretical volume of poured concrete is calculated according to the design pile diameter and design pile length; the filling coefficient is determined according to the ratio of the actual poured concrete volume and the theoretical volume of poured concrete; if the filling coefficient is within the range of 1.0 to 1.3, the necking qualified result is 1, indicating that the possibility of necking or diameter expansion is small, otherwise, the necking qualified result is 0, indicating that the possibility of necking or diameter expansion is large, and it is necessary to investigate; the concrete quality coefficient is determined by summing the mixing ratio qualified result and the necking qualified result; the pile foundation safety coefficient is determined by summing the hole forming quality coefficient and the concrete quality coefficient.

[0056] According to one embodiment of the present application, in step S7, a monitoring control report is generated according to the construction equipment safe operation coefficient, the construction environment risk coefficient and the pile foundation safety coefficient.

[0057] For example, when the construction equipment safe operation coefficient is equal to 7, it indicates that the pile hammer, the drilling machine and the static pile press are all normally operated, when the construction equipment safe operation coefficient is less than 7, it indicates that the pile hammer or the drilling machine or the static pile press has an abnormality, according to the pile hammer operation safety result, the drilling machine operation safety result and the static pile press operation safety result, the specific abnormal condition is determined, when the pile hammer operation safety result is equal to 0, it indicates that the pile hammer operation has an abnormality, the operation of the pile hammer needs to be suspended and checked and repaired, when the drilling machine operation safety result is equal to 0, it indicates that the drilling machine operation has an abnormality, the operation of the drilling machine needs to be suspended and checked and repaired, when the static pile press operation safety result is equal to 0, it indicates that the static pile press operation has an abnormality, the operation of the static pile press needs to be suspended and checked and repaired; the output range of the construction environment risk coefficient is -2 to 9, when the construction environment risk coefficient is smaller, the possibility of predicting that a safety alarm will be issued is lower or the alarm level of the safety alarm predicted to be issued is lower or the range of the safety event predicted to occur is smaller and the processing time is shorter, when the construction environment risk coefficient is larger, the possibility of predicting that a safety alarm will be issued is larger or the alarm level of the safety alarm predicted to be issued is higher or the range of the safety event predicted to occur is larger and the processing time is longer, when the construction environment risk coefficient is less than 1, it indicates that the possibility of a safety event occurring is small, continuous monitoring is carried out during the construction process, when the construction environment risk coefficient is greater than or equal to 1, it indicates that a safety event may occur, the construction needs to be suspended for safety hazard elimination, when the pile foundation safety coefficient is 3, it indicates that the hole diameter, the hole depth, the concrete proportioning and the pouring quantity are all normal, when the pile foundation safety coefficient is less than 3, it indicates that the hole diameter or the hole depth or the concrete proportioning or the pouring quantity has an abnormality, according to the necking qualification result, the hole forming quality coefficient and the mix proportion qualification result, the specific abnormal condition is determined, when the necking qualification result is 0, the hole collapse or the soil disturbance needs to be eliminated, the necking or the concrete loss needs to be verified, when the mix proportion qualification result is 0, the concrete proportioning needs to be adjusted, when the hole forming quality coefficient is 0, the hole depth and the hole diameter need to be adjusted.

[0058] The pile foundation construction monitoring control method according to the pile foundation construction monitoring control method of the embodiment of the present application can monitor the safety of the construction equipment, the construction safety and the safety of the pile foundation during the construction process, determine the safe operation coefficient of the construction equipment, the construction environment risk coefficient and the safety coefficient of the pile foundation, and generate a monitoring control report, thereby improving the comprehensiveness of the pile foundation construction monitoring control. When determining the historical construction environment risk coefficient, the historical construction environment risk coefficient can be determined according to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification result and the historical alarm processing time. In the calculation process, the historical construction environment risk coefficient can be determined according to the safety alarm level, the safety alarm content, the processing time and the occurrence time, so that the historical construction environment risk coefficient can reflect the danger degree, the emergency degree and the influence range of the safety event that the current construction environment can cause, thereby improving the comprehensiveness and accuracy of the historical construction environment risk coefficient. When determining the training loss function, the training loss function of the construction environment risk prediction model can be determined according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall. In the calculation process, the influence of the monitoring point settlement, the soil displacement, the pore water pressure and the rainfall on the severity of the safety event that can occur during the construction process can be used to determine the influence of the above data on the error of the sample predicted construction environment risk coefficient, and the training loss function can be set based on the influence and the relative error of the sample predicted construction environment risk coefficient, so that the construction environment risk prediction model can reduce the training loss function during the training process, and more accurately improve the precision of the construction environment risk prediction model.

[0059] Figure 4An example of a block diagram of a pile foundation construction monitoring control system according to an embodiment of the present application is shown, the system comprising: an operating parameter module for obtaining construction equipment operating parameters at multiple time points of a monitoring period, wherein the construction equipment operating parameters comprise: drilling rig operating parameters, pile hammer parameters and static pile press parameters; an operating coefficient module for determining construction equipment safe operating coefficients according to the construction equipment operating parameters; an environmental data module for obtaining construction environment monitoring data of a construction area at multiple time points of a monitoring period, wherein the construction environment monitoring data comprises: monitoring point settlement, soil displacement, pore water pressure and construction environment rainfall; an environmental risk module for processing the construction environment monitoring data according to a trained construction environment risk prediction model to determine a construction environment risk coefficient; a pile foundation data module for obtaining pile foundation performance monitoring data at multiple time points of a monitoring period, wherein the pile foundation performance monitoring data comprises: hole forming quality data and concrete quality data; a pile foundation safety module for determining a pile foundation safety coefficient according to the pile foundation performance monitoring data; and a report generation module for generating a monitoring control report according to the construction equipment safe operating coefficients, the construction environment risk coefficient and the pile foundation safety coefficient.

[0060] The present application can be a method, an apparatus, a system, and / or a computer program product. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for performing various aspects of the present application.

[0061] Those skilled in the art understand that the above-described embodiments of the present application shown in the description and drawings are only examples and do not limit the present application. The purpose of the present application has been fully and effectively achieved. The functional and structural principles of the present application have been demonstrated and described in the embodiments, and the embodiments of the present application can be modified or changed in any way without departing from the principles.

Claims

1. A method of monitoring and controlling pile construction, characterized by, Comprise: At multiple moments of a monitoring period, obtain construction equipment operation parameters, wherein the construction equipment operation parameters comprise: rig operation parameters, pile hammer parameters, and static pile press parameters; determine a construction equipment safe operation coefficient according to the construction equipment operation parameters; at multiple moments of the monitoring period, obtain construction environment monitoring data of a construction area, wherein the construction environment monitoring data comprises: monitoring point settlement, soil displacement, pore water pressure, and construction environment rainfall; process the construction environment monitoring data according to a trained construction environment risk prediction model to determine a construction environment risk coefficient; at multiple moments of the monitoring period, obtain pile foundation performance monitoring data, wherein the pile foundation performance monitoring data comprises: hole forming quality data and concrete quality data; determine a pile foundation safety coefficient according to the pile foundation performance monitoring data; generate a monitoring control report according to the construction equipment safe operation coefficient, the construction environment risk coefficient, and the pile foundation safety coefficient; The training steps of the construction environment risk prediction model comprise: obtaining historical construction logs of a historical construction area in a historical construction period; determining historical monitoring point settlement, historical soil displacement, historical pore water pressure, and historical construction environment rainfall at multiple moments of the historical construction period according to the historical construction logs; determining historical safety alarm records corresponding to each moment of the historical construction period according to the historical construction logs; determining historical safety alarm occurrence time, historical safety alarm level, historical safety alarm content identification results, and historical alarm processing time according to the historical safety alarm records; determining a historical construction environment risk coefficient according to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification results, and the historical alarm processing time; processing the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure, and the historical construction environment rainfall according to the construction environment risk prediction model to determine a sample predicted construction environment risk coefficient, wherein the construction environment risk prediction model belongs to a kind of neural network model, comprising: data preprocessing and input layer, feature extraction layer, feature fusion layer, and decision and output layer, the construction environment risk prediction model is trained through historical data, so that the construction environment risk prediction model can predict the construction environment risk coefficient; determine a training loss function of the construction environment risk prediction model according to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure, and the historical construction environment rainfall; train the construction environment risk prediction model according to the training loss function to obtain the trained construction environment risk prediction model.

2. The pile foundation construction monitoring control method according to claim 1, characterized by, According to the construction equipment operation parameters, a construction equipment safe operation coefficient is determined, including: according to the drilling machine operation parameters, a drilling machine rotating speed, a drilling machine torque and a drilling machine lifting force are determined; according to the pile hammer parameters, a hammering energy, a hammering frequency and a penetration are determined; according to the static pressure pile machine parameters, a pile pressing force, an oil cylinder stroke difference and a pile pressing speed are determined; according to the drilling machine rotating speed, the drilling machine torque, the drilling machine lifting force, the hammering energy, the hammering frequency, the penetration, the pile pressing force, the oil cylinder stroke difference and the pile pressing speed, the construction equipment safe operation coefficient is determined.

3. The pile construction monitoring control method according to claim 2, wherein According to the drilling machine rotating speed, the drilling machine torque, the drilling machine lifting force, the hammering energy, the hammering frequency, the penetration, the pile pressing force, the oil cylinder stroke difference and the pile pressing speed, the construction equipment safe operation coefficient is determined, including: according to the hammering energy, the hammering frequency and the penetration, a pile hammer operation safety coefficient is determined; according to the drilling machine rotating speed, the drilling machine torque and the drilling machine lifting force, a drilling machine operation safety coefficient is determined; according to the pile pressing force, the oil cylinder stroke difference and the pile pressing speed, a static pressure pile machine operation safety coefficient is determined; according to the drilling machine operation safety coefficient, the pile hammer operation safety coefficient and the static pressure pile machine operation safety coefficient, the construction equipment safe operation coefficient is determined, wherein, if the pile hammer operation safety coefficient is less than 3, it indicates that the pile hammer operation is abnormal, then the pile hammer operation safety result is 0, otherwise, the pile hammer operation safety result is 1, if the drilling machine operation safety coefficient is less than 3, it indicates that the drilling machine operation is abnormal, then the drilling machine operation safety result is 0, otherwise, the drilling machine operation safety result is 2, if the static pressure pile machine operation safety coefficient is less than 3, it indicates that the static pressure pile machine operation is abnormal, then the static pressure pile machine operation safety result is 0, otherwise, the static pressure pile machine operation safety result is 4, according to the pile hammer operation safety result, the drilling machine operation safety result and the static pressure pile machine operation safety result, the construction equipment safe operation coefficient is determined.

4. The pile construction monitoring control method according to claim 3, characterized by, According to the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content identification result and the historical alarm processing time, a historical construction environment risk coefficient is determined, including: according to a formula: determining the historical construction environment risk coefficient of the historical safety alarm record corresponding to the i th historical construction period and the k th moment , wherein is the historical safety alarm level of the historical safety alarm record corresponding to the i th historical construction period and the k th moment, is the historical safety alarm content identification result of the historical safety alarm record corresponding to the i th historical construction period and the k th moment, , is the historical alarm processing time of the historical safety alarm record corresponding to the i th historical construction period and the k th moment, is a preset processing time threshold, is the historical safety alarm occurrence time of the historical safety alarm record corresponding to the i th historical construction period and the k th moment, is a preset occurrence time threshold.

5. The pile construction monitoring control method according to claim 4, characterized by, According to the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall, a training loss function of a construction environment risk prediction model is determined, including: according to the formula: determining a training loss function of a construction environment risk prediction model , wherein max is a maximum value function, is the sample predicted construction environment risk coefficient of the kth moment of the ith historical construction period, is the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the ith historical construction period, is the historical monitoring point settlement of the jth monitoring point at the kth moment of the ith historical construction period, is a preset settlement threshold, is the historical soil displacement of the kth moment of the ith historical construction period, is a preset soil displacement threshold, is the historical pore water pressure of the kth moment of the ith historical construction period, is a preset pore water pressure threshold, is the historical construction environment rainfall of the kth moment of the ith historical construction period, is a preset environmental rainfall threshold, n is the number of historical construction periods, i≤n, K is the number of moments of the historical construction period, k≤K, m is the number of monitoring points, j≤m, i, n, k, K, j and m are all positive integers.

6. The pile construction monitoring control method according to claim 5, wherein According to the pile foundation performance monitoring data, a pile foundation safety coefficient is determined, including: according to the hole forming quality data, hole depth and hole diameter are determined; according to the hole depth and the hole diameter, a hole forming quality coefficient is determined; according to the concrete quality data, concrete mix proportion and actual poured concrete volume are determined; according to the concrete mix proportion, a mix proportion qualified result is determined; a theoretical volume of poured concrete is obtained; according to the actual poured concrete volume and the theoretical volume of poured concrete, a filling coefficient is determined; according to the filling coefficient, a necking qualified result is determined; according to the mix proportion qualified result and the necking qualified result, a concrete quality coefficient is determined; according to the hole forming quality coefficient and the concrete quality coefficient, a pile foundation safety coefficient is determined, wherein, if the hole depth reaches the design bearing stratum depth and the hole diameter is within the design hole diameter range, indicating that the hole forming quality meets the standard, the hole forming quality coefficient is 1, if the hole depth does not reach the design bearing stratum depth or the hole diameter is not within the design hole diameter range, the hole forming quality coefficient is 0; the hole forming quality coefficient and the concrete quality coefficient are summed to determine the pile foundation safety coefficient.

7. A pile construction monitoring control system, characterised in that, Comprise: An operation parameter module is configured to obtain construction equipment operation parameters at multiple time points of a monitoring period, wherein the construction equipment operation parameters comprise drill rig operation parameters, pile hammer parameters, and static pile press parameters; an operation coefficient module is configured to determine construction equipment safe operation coefficients based on the construction equipment operation parameters; an environmental data module is configured to obtain construction environment monitoring data of a construction area at multiple time points of a monitoring period, wherein the construction environment monitoring data comprises monitoring point settlement, soil displacement, pore water pressure, and construction environment rainfall; an environmental risk module is configured to process the construction environment monitoring data based on a trained construction environment risk prediction model to determine construction environment risk coefficients; a pile foundation data module is configured to obtain pile foundation performance monitoring data at multiple time points of a monitoring period, wherein the pile foundation performance monitoring data comprises hole forming quality data and concrete quality data; a pile foundation safety module is configured to determine pile foundation safety coefficients based on the pile foundation performance monitoring data; and a report generation module is configured to generate a monitoring control report based on the construction equipment safe operation coefficients, the construction environment risk coefficients, and the pile foundation safety coefficients.

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