Pile foundation construction monitoring control method and system

Abstract

The invention provides a pile foundation construction monitoring control method and system, and relates to the field of pile foundation construction.The method comprises the steps that operation parameters of construction equipment are obtained at multiple moments of a monitoring period; determining a safe operation coefficient of the construction equipment according to the operation parameters of the construction equipment; acquiring construction environment monitoring data of the construction area at a plurality of moments of the monitoring period; processing the construction environment monitoring data according to a trained construction environment risk prediction model, and determining a construction environment risk coefficient; acquiring pile foundation performance monitoring data at a plurality of moments of the monitoring period; according to the pile foundation performance monitoring data, the pile foundation safety coefficient is determined; and generating a monitoring control report according to the construction equipment safety operation coefficient, the construction environment risk coefficient and the pile foundation safety coefficient. According to the invention, the comprehensiveness of pile foundation construction monitoring control can be improved.

Description

Technical Field

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

[0002] In related technologies, pile foundation construction monitoring and control mainly rely on sensor detection combined with manual monitoring and control, that is, it mainly relies on human factors. Excessive reliance on human factors may make it difficult to ensure 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 technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the Invention

[0004] The present invention provides a pile foundation construction monitoring and control method and system, which can solve the technical problem that related technologies are difficult to ensure the real-time and accuracy of monitoring results.

[0005] According to a first aspect of the present invention, a pile foundation construction monitoring and control method is provided, comprising: obtaining construction equipment operating parameters at multiple moments in a monitoring period, wherein the construction equipment operating parameters include: drilling rig operating parameters, pile hammer parameters and static pressure pile driver parameters; determining the construction equipment safety operation coefficient based on the construction equipment operating parameters; obtaining construction environment monitoring data of the construction area at multiple moments in the monitoring period, wherein the construction environment monitoring data include: 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 the construction environment risk coefficient; obtaining pile foundation performance monitoring data at multiple moments in the monitoring period, wherein the pile foundation performance monitoring data include: hole quality data and concrete quality data; determining the pile foundation safety coefficient based on the pile foundation performance monitoring data; and generating a monitoring and control report based on the construction equipment safety operation coefficient, the construction environment risk coefficient and the pile foundation safety factor.

[0006] According to the present invention, the safe operation coefficient of the construction equipment is determined based on the operating parameters of the construction equipment, including: determining the drill rig speed, drill rig torque and drill rig lifting force based on the drilling rig operating parameters; determining the hammer energy, hammer frequency and penetration depth based on the pile hammer parameters; determining the pile driving force, cylinder stroke difference and pile driving speed based on the static pile driver parameters; determining the safe operation coefficient of the construction equipment based on the drill rig speed, the drill rig torque, the drill rig lifting force, the hammer energy, the hammer frequency, the penetration depth, the pile driving force, the cylinder stroke difference and the pile driving speed.

[0007] According to the present invention, the safe operation coefficient of the construction equipment is determined according to the drilling rig rotation speed, the drilling rig torque, the drilling rig lifting force, the hammering energy, the hammering frequency, the penetration depth, the pile driving force, the cylinder stroke difference and the pile driving speed, including: determining the pile driving hammer operation safety coefficient according to the hammering energy, the hammering frequency and the penetration depth; determining the drilling rig operation safety coefficient according to the drilling rig rotation speed, the drilling rig torque and the drilling rig lifting force; determining the static pile driver operation safety coefficient according to the pile driving force, the cylinder stroke difference and the pile driving speed; determining the construction equipment operation safety coefficient according to the drilling rig operation safety coefficient, the pile driving hammer operation safety coefficient and the static pile driver operation safety coefficient. The construction equipment safety operation coefficient is as follows: if the pile hammer operation safety coefficient is less than 3, it means that there is an abnormality in the pile hammer operation, and the pile hammer operation safety result is 0; otherwise, the pile hammer operation safety result is 1; if the drilling rig operation safety coefficient is less than 3, it means that there is an abnormality in the drilling rig operation, and the drilling rig operation safety result is 0; otherwise, the drilling rig operation safety result is 2; if the static pile driver operation safety coefficient is less than 3, it means that there is an abnormality in the static pile driver operation, and the static pile driver operation safety result is 0; otherwise, the static pile driver operation safety result is 4; the construction equipment safety operation coefficient is determined by summing the pile hammer operation safety result, the drilling rig operation safety result, and the static pile driver operation safety result.

[0008] According to the present invention, the training steps of the construction environment risk prediction model include: obtaining historical construction logs of historical construction areas in historical construction cycles; determining historical monitoring point settlements, historical soil displacements, historical pore water pressures, and historical construction environment rainfall at multiple moments in the historical construction cycle based on the historical construction logs; determining historical safety alarm records corresponding to each moment in the historical construction cycle based on the historical construction logs; determining historical safety alarm occurrence time, historical safety alarm levels, historical safety alarm content recognition results, and historical alarm processing time based on the historical safety alarm records; determining historical construction environment risk coefficients based on the historical safety alarm occurrence time, the historical safety alarm levels, the historical safety alarm content recognition results, and the historical alarm processing time; and training the historical monitoring point settlements based on the construction environment risk prediction model. , the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall are processed to determine the sample predicted construction environment risk coefficient, wherein the construction environment risk prediction model is a kind of neural network model, including: data preprocessing and input layer, feature extraction layer, feature fusion layer and decision and output layer, the construction environment risk prediction model is trained by historical data so that the construction environment risk prediction model can predict the construction environment risk coefficient; 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, the training loss function of the construction environment risk prediction model is determined; the construction environment risk prediction model is trained according to the training loss function to obtain a trained construction environment risk prediction model.

[0009] According to the present invention, determining the 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 includes: according to the formula: Determine the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the i-th historical construction period ,in, is the historical safety alarm level of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, is the historical safety alarm content recognition result of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, , is the historical alarm processing time of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, is the preset processing time threshold, is the occurrence time of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, The preset occurrence time threshold.

[0010] According to the present invention, the training loss function of the construction environment risk prediction model is determined based on 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, including: according to the formula: Determine the training loss function of the construction environment risk prediction model , where max is the maximum value function, Forecast the construction environment risk coefficient for the sample at the kth moment of the i-th historical construction cycle, is the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the i-th historical construction period, is the settlement of the historical monitoring point at the jth monitoring point at the kth moment in the i-th historical construction period, is the preset settlement threshold, is the historical soil displacement at the kth moment of the i-th historical construction cycle, is the preset soil displacement threshold, is the historical pore water pressure at the kth moment of the i-th historical construction cycle, is the preset pore water pressure threshold, is the historical construction environment rainfall at the kth moment of the i-th historical construction period, is the preset environmental rainfall threshold, n is the number of historical construction cycles, i≤n, K is the number of moments in the historical construction cycle, k≤K, m is the number of monitoring points, j≤m, and i, n, k, K, j and m are all positive integers.

[0011] According to the present invention, the pile foundation safety factor is determined according to the pile foundation performance monitoring data, including: determining the hole depth and hole diameter according to the hole quality data; determining the hole quality coefficient according to the hole depth and the hole diameter; determining the concrete mix ratio and the actual poured concrete volume according to the concrete quality data; determining the mix ratio qualification result according to the concrete mix ratio; 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 qualification result according to the filling coefficient; determining the concrete quality coefficient according to the mix ratio qualification result and the necking qualification result; determining the pile foundation safety factor according to the hole quality coefficient and the concrete quality coefficient; if the hole depth reaches the designed bearing layer depth and the hole diameter is within the designed hole diameter range, it means that the hole quality meets the standard, and the hole quality coefficient is 1; if the hole depth does not reach the designed bearing layer depth or the hole diameter is not within the designed hole diameter range, the hole quality coefficient is 0; the pile foundation safety factor is determined by summing the hole quality coefficient and the concrete quality coefficient.

[0012] According to a second aspect of the present invention, a pile foundation construction monitoring and control system is provided, comprising: an operating parameter module for acquiring construction equipment operating parameters at multiple moments in a monitoring cycle, wherein the construction equipment operating parameters include drilling rig operating parameters, pile hammer parameters, and static pile driver parameters; an operating coefficient module for determining a safe operation coefficient of the construction equipment based on the construction equipment operating parameters; an environmental data module for acquiring construction environment monitoring data of a construction area at multiple moments in a monitoring cycle, 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 acquiring pile foundation performance monitoring data at multiple moments in a monitoring cycle, wherein the pile foundation performance monitoring data includes hole quality data and concrete quality data; a pile foundation safety module for determining a pile foundation safety coefficient based on the pile foundation performance monitoring data; and a report generation module for generating a monitoring and control report based on the construction equipment safe operation coefficient, the construction environment risk coefficient, and the pile foundation safety coefficient.

[0013] Technical effect: According to the present invention, the safety status of construction equipment, construction safety status and pile foundation safety status during the construction process can be monitored, the construction equipment safety operation coefficient, construction environment risk coefficient and pile foundation safety coefficient can be determined, and a monitoring and control report can be generated, thereby improving the comprehensiveness of pile foundation construction monitoring and control. When determining the historical construction environment risk coefficient, the historical construction environment risk coefficient can be determined based on the historical safety alarm occurrence time, historical safety alarm level, historical safety alarm content recognition results and historical alarm processing time. During the calculation process, the historical construction environment risk coefficient can be determined based on the four aspects of safety alarm level, safety alarm content, processing time and occurrence time, so that the historical construction environment risk coefficient can reflect the degree of danger, urgency and impact range of safety incidents that may be caused by the current construction environment, 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 based on 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. During the calculation process, the influence of the monitoring point settlement, soil displacement, pore water pressure and rainfall on the severity of safety incidents that may 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. Based on this influence and the relative error of the sample predicted construction environment risk coefficient, the training loss function is set to reduce the training loss function of the construction environment risk prediction model during the training process, and to improve the accuracy of the construction environment risk prediction model in a more targeted manner.

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

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can derive other embodiments based on these drawings without inventive efforts.

[0016] Figure 1 A flowchart of a method for monitoring and controlling pile foundation construction according to an embodiment of the present invention is exemplarily shown;

[0017] Figure 2 A flowchart for determining a safe operation coefficient of construction equipment according to an embodiment of the present invention is exemplarily shown;

[0018] Figure 3 The flowchart of determining the pile foundation safety factor according to an embodiment of the present invention is exemplarily shown;

[0019] Figure 4 The following is a block diagram of a pile foundation construction monitoring and control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0021] The following specific embodiments are used to describe the technical solution of the present invention in detail. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0022] Figure 1 A flow chart of a pile foundation construction monitoring and control method according to an embodiment of the present invention is exemplarily shown, the method comprising: step S1, obtaining construction equipment operating parameters at multiple moments in a monitoring period, wherein the construction equipment operating parameters include drilling rig operating parameters, pile hammer parameters, and static pressure pile driver parameters; step S2, determining the construction equipment safety operation coefficient based on the construction equipment operating parameters; step S3, obtaining construction environment monitoring data of the construction area at multiple moments in the monitoring period, wherein the construction environment monitoring data include 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 the construction environment risk coefficient; step S5, obtaining pile foundation performance monitoring data at multiple moments in the monitoring period, wherein the pile foundation performance monitoring data include hole quality data and concrete quality data; step S6, determining the pile foundation safety coefficient based on the pile foundation performance monitoring data; step S7, generating a monitoring and control report based on the construction equipment safety operation coefficient, the construction environment risk coefficient, and the pile foundation safety coefficient.

[0023] According to the pile foundation construction monitoring and control method of an embodiment of the present invention, the safety status of construction equipment, construction safety status and pile foundation safety status during the construction process can be monitored, the construction equipment safety operation coefficient, construction environment risk coefficient and pile foundation safety coefficient can be determined, and a monitoring and control report can be generated, thereby improving the comprehensiveness of pile foundation construction monitoring and control.

[0024] According to an embodiment of the present invention, in step S1, construction equipment operating parameters are acquired at multiple moments in a monitoring cycle, wherein the construction equipment operating parameters include drilling rig operating parameters, pile hammer parameters, and static pile driver parameters.

[0025] For example, by installing sensors (such as pressure sensors, torque sensors, acceleration sensors, laser displacement sensors and hydraulic sensors) in construction equipment (such as drilling rigs, pile hammers and static pile drivers), construction equipment operating parameters of the construction equipment, such as drilling rig speed, hammer energy and pile driving force, are obtained during the monitoring period.

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

[0027] Figure 2 A flow chart for determining a safe operation coefficient of construction equipment according to an embodiment of the present invention is exemplarily shown.

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

[0029] For example, the drilling rig speed, drilling rig torque and drilling rig lifting force of the drilling rig are obtained through wireless gyroscopes and hydraulic pressure sensors; the instantaneous impact velocity is obtained through an acceleration sensor, and the hammer energy is obtained based on the instantaneous impact velocity and the mass of the hammer body, and the hammer frequency and penetration are obtained through vibration sensors and laser displacement sensors; the cylinder pressure is obtained through a hydraulic sensor, and the pile driving force is determined based on the cylinder pressure, the number of cylinders and the effective area of ​​the single-cylinder piston, and the cylinder stroke difference and pile driving speed are obtained through a displacement sensor; based on the drilling rig speed, drilling rig torque, drilling rig lifting force, hammer energy, hammer frequency, penetration, the pile driving force, cylinder stroke difference and pile driving speed, the safe operation status of the construction equipment is evaluated and the safe operation coefficient of the construction equipment is determined.

[0030] According to one embodiment of the present invention, step S24 includes: step S241, determining the operation safety factor of the pile hammer according to the hammer energy, the hammer frequency and the penetration; step S242, determining the operation safety factor of the drilling rig according to the drilling rig speed, the drilling rig torque and the drilling rig lifting force; step S243, determining the operation safety factor of the static pile driver according to the pile driving force, the cylinder stroke difference and the pile driving speed; step S244, determining the safe operation factor of the construction equipment according to the operation safety factor of the drilling rig, the operation safety factor of the pile hammer and the operation safety factor of the static pile driver, wherein, if the pile hammer is running If the operation safety factor is less than 3, it means that there is an abnormality in the operation of the pile hammer, and the pile hammer operation safety result is 0. Otherwise, the pile hammer operation safety result is 1. If the drilling rig operation safety factor is less than 3, it means that there is an abnormality in the operation of the drilling rig, and the drilling rig operation safety result is 0. Otherwise, the drilling rig operation safety result is 2. If the static pile driver operation safety factor is less than 3, it means that there is an abnormality in the operation of the static pile driver, and the static pile driver operation safety result is 0. Otherwise, the static pile driver operation safety result is 4. The construction equipment safety operation factor is determined by summing the pile hammer operation safety result, the drilling rig operation safety result and the static pile driver operation safety result.

[0031] For example, if the hammer energy is greater than the preset hammer energy threshold (70% of the design value of the pile body compressive strength), the pile head may be broken and the hammer energy safety result is 0. Otherwise, the hammer energy safety result is 1. If the hammer frequency is greater than the preset hammer frequency threshold (2 times / minute), fatigue accumulation damage to the pile concrete may occur and the hammer frequency safety result is 0. Otherwise, the hammer frequency safety result is 1. If the penetration is greater than the preset penetration threshold (100mm / 10 blows in soft soil and 20mm / 10 blows in hard rock), the pile end may not enter the bearing layer and the single pile bearing capacity may be insufficient. If the force is insufficient, the penetration safety result is 0. If the penetration is less than or equal to the preset penetration threshold, it means that the penetration is normal and the penetration safety result is 1. The pile hammer operation safety factor is determined by summing the hammer energy safety result, hammer frequency safety result and penetration safety result. If the drilling rig speed does not meet the preset drilling rig speed threshold range (20rpm-60rpm), it may cause excessive wear of the drill bit in the sand layer, increase the risk of sticking the drill or reduce the drilling efficiency of the clay layer, and extend the hole formation time. The drilling rig speed safety result is 0. Otherwise, the speed safety result is 1. If the drilling rig speed does not meet the preset drilling rig speed threshold range (20rpm-60rpm), it may cause excessive wear of the drill bit in the sand layer, increase the risk of sticking the drill or reduce the drilling efficiency of the clay layer, and extend the hole formation time. If the torque is greater than the preset drilling rig torque threshold (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 rig torque safety result is 0. Otherwise, the drilling rig torque safety result is 1. If the deviation between the drilling rig lifting force and the theoretical calculated value of the lifting force (determined according to the drilling rig lifting force synthesis calculation method) is greater than 15%, it means that the lifting force is insufficient or the lifting force exceeds the limit, resulting in an increased probability of buried drilling accidents. The drilling rig lifting force safety result is 0. Otherwise, the drilling rig lifting force safety result is 1. The results are summed to determine the safety factor of drilling rig operation; if the pile driving force is less than 1.5 times the designed bearing capacity and greater than the compressive strength of the pile body, it means that the end-bearing pile has not been pressed to the bearing layer, the bearing capacity of the completion acceptance does not meet the standard, and the pile body may be fractured. The pile driving force safety result is 0; otherwise, the pile driving force safety result is 1. If the stroke difference of adjacent cylinders is greater than 10%, it means that the pressure of adjacent cylinders is uneven and the operation is out of tolerance for a long time. The safety result of the stroke difference of adjacent cylinders is 0; otherwise, the safety result of the stroke difference of adjacent cylinders is 1. If the pile driving speed is greater than the preset pile driving speed threshold (1m / min in soft soil, 0.5m / min), it may cause the concrete at the pile head to collapse, and the pile driving speed safety result is 0. Otherwise, the pile driving speed safety result is 1. The static pile driver operation safety factor is determined by summing the pile driving force safety result, the cylinder stroke difference safety result, and the pile driving speed safety result. If the pile hammer operation safety factor is less than 3, it indicates that there is an abnormality in the pile hammer operation, and the pile hammer operation safety result is 0. Otherwise, the pile hammer operation safety result is 1. If the drilling rig operation safety factor is less than 3, it indicates that there is an abnormality in the drilling rig operation, and the drilling rig operation safety result is 0. Otherwise, the drilling rig operation safety result is 2. If the static pile driver operation safety factor is less than 3, it indicates that there is an abnormality in the static pile driver operation, and the static pile driver operation safety result is 0. Otherwise, the static pile driver operation safety result is 4. The construction equipment operation safety factor is determined by summing the pile hammer operation safety result, the drilling rig operation safety result, and the static pile driver operation safety result.

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

[0033] For example, by arranging inclinometer tubes outside the foundation pit or near important facilities, the horizontal displacement of the soil at a certain depth, that is, the soil displacement, is obtained; monitoring points are set up on the ground, roads, pipelines and other locations around the foundation pit to obtain the surface settlement of the monitoring points, that is, the settlement of the monitoring points; the rainfall in the construction environment is obtained by setting up rain sensors around the foundation pit; and the pore water pressure is obtained by using a vibrating string pore water pressure gauge radially arranged with the pile center as the center.

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

[0035] For example, the construction environment monitoring data is processed according to the trained construction environment risk prediction model to predict the dangerous conditions of the upcoming safety incidents that may be caused by the current construction environment, that is, the construction environment risk coefficient.

[0036] According to one embodiment of the present invention, the training steps of the construction environment risk prediction model include: obtaining historical construction logs of historical construction areas in historical construction cycles; determining historical monitoring point settlements, historical soil displacements, historical pore water pressures, and historical construction environment rainfall at multiple moments in the historical construction cycle based on the historical construction logs; determining historical safety alarm records corresponding to each moment in the historical construction cycle based on the historical construction logs; determining historical safety alarm occurrence time, historical safety alarm levels, historical safety alarm content recognition results, and historical alarm processing time based on the historical safety alarm records; determining historical construction environment risk coefficients based on the historical safety alarm occurrence time, the historical safety alarm levels, the historical safety alarm content recognition results, and the historical alarm processing time; and performing training on the historical monitoring point settlements, historical soil displacements, historical pore water pressures, and historical construction environment rainfall at multiple moments in the historical construction cycle based on the historical construction logs. The settlement, the historical soil displacement, the historical pore water pressure and the historical construction environment rainfall are processed to determine the sample predicted construction environment risk coefficient, wherein the construction environment risk prediction model is a kind of neural network model, including: data preprocessing and input layer, feature extraction layer, feature fusion layer and decision and output layer, the construction environment risk prediction model is trained by historical data so that the construction environment risk prediction model can predict the construction environment risk coefficient; 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, the training loss function of the construction environment risk prediction model is determined; the construction environment risk prediction model is trained 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 include: historical construction logs, historical monitoring point settlements, historical soil displacements, historical pore water pressures and historical construction environment rainfall. The historical construction logs of pile foundation construction in historical construction areas with construction soils similar to the current construction soils during the historical construction cycle are obtained; the historical monitoring point settlements, historical soil displacements, historical pore water pressures and historical construction environment rainfall in the historical construction cycle are obtained; based on the historical construction logs, the historical safety alarm records corresponding to each moment in the historical construction cycle are determined. For example, the historical safety alarm records corresponding to the first moment in the historical construction cycle are the records at that moment and ten minutes after that moment. Safety alarm records within two hours; based on historical safety alarm records, determine the time from the time the safety alarm occurred to the corresponding moment, that is, the historical safety alarm occurrence time (for example, the first moment of the historical construction period is 9:00, and its corresponding historical safety alarm record occurs at 10:00, then the historical safety alarm occurrence time is 1 hour); based on historical safety alarm records, determine the historical safety alarm level (divided into level 1, level 2 and level 3, level 3 is the most serious, level 2 is the second most serious); based on historical safety alarm records, determine the time it takes to process the alarm, that is, the historical alarm processing time; based on historical safety alarm records, determine the content of the alarm, such as foundation pit instability and collapse, pile foundation displacement failure and adjacent For damage to nearby facilities, the historical safety alarm content recognition result is determined based on the content of the alarm. For example, when the content of the alarm is an alarm within the construction range such as foundation pit instability collapse and pile foundation displacement failure, it means that the scope of the safety hazard is small, and the historical safety alarm content recognition result is 1. When the content of the alarm is an alarm affecting the surrounding environment such as damage to nearby facilities, it means that the scope of the safety hazard is large, and the historical safety alarm content recognition result is 2. According to the occurrence time of the historical safety alarm, the historical safety alarm level, the historical safety alarm content recognition result and the historical alarm processing time, the danger level and impact range of the safety alarm are evaluated to determine the historical construction environment risk coefficient. According to the construction environment The risk prediction model processes the historical monitoring point settlement, historical soil displacement, historical pore water pressure and historical construction environment rainfall to generate the severity and impact range of the dangerous phenomena that may occur based on the current monitoring data, that is, the sample predicted construction environment risk coefficient; based on the sample predicted construction environment risk coefficient, the historical construction environment risk coefficient, the historical monitoring point settlement, historical soil displacement, historical pore water pressure and historical construction environment rainfall, the training loss function of the construction environment risk prediction model is determined; the construction environment risk prediction model is trained according to the training loss function to improve the accuracy of the construction environment risk prediction model and obtain a trained construction environment risk prediction model.

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

[0039] (1)

[0040] in, is the historical safety alarm level of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, is the historical safety alarm content recognition result of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, , is the historical alarm processing time of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, is the preset processing time threshold, is the occurrence time of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, The preset occurrence time threshold.

[0041] According to one embodiment of the present invention, is the historical security alarm level of the historical security alarm record corresponding to the kth moment of the i-th historical construction cycle. The higher the historical security alarm level, the more serious the security incident. is the historical safety alarm content recognition result of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, , The larger the security incident is, the wider the impact will be and the more serious the consequences will be. It is the relative difference between the historical alarm processing time of the historical security alarm record corresponding to the kth moment of the i-th historical construction cycle and the preset processing time threshold. The larger the ratio, the longer the historical alarm processing time of the historical security alarm record corresponding to the kth moment of the i-th historical construction cycle, indicating that the security incident is more serious and requires longer time to process. Can be set to 1 day, It 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 i-th historical construction cycle. 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 i-th historical construction cycle, indicating that a safety event may occur in a short time and protective measures need to be taken. Can be set to 6 hours.

[0042] According to one embodiment of the present invention, It means that the historical construction environment risk factor is determined based on four aspects: safety alert level, safety alert content, processing time and occurrence time.

[0043] In this way, the historical construction environment risk coefficient can be determined based on the historical safety alarm occurrence time, historical safety alarm level, historical safety alarm content identification results and historical alarm processing time. During the calculation process, the historical construction environment risk coefficient can be determined based on the four aspects of safety alarm level, safety alarm content, processing time and occurrence time. The historical construction environment risk coefficient can reflect the degree of danger, urgency and impact range of safety incidents that may be caused by the current construction environment, thereby improving the comprehensiveness and accuracy of the historical construction environment risk coefficient.

[0044] According to one embodiment of the present invention, the training loss function of the construction environment risk prediction model is determined based on 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, including: determining the training loss function of the construction environment risk prediction model according to formula (2): ,

[0045] (2)

[0046] Among them, max is the maximum value function, Forecast the construction environment risk coefficient for the sample at the kth moment of the i-th historical construction cycle, is the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the i-th historical construction period, is the settlement of the historical monitoring point at the jth monitoring point at the kth moment in the i-th historical construction period, is the preset settlement threshold, is the historical soil displacement at the kth moment of the i-th historical construction cycle, is the preset soil displacement threshold, is the historical pore water pressure at the kth moment of the i-th historical construction cycle, is the preset pore water pressure threshold, is the historical construction environment rainfall at the kth moment of the i-th historical construction period, is the preset environmental rainfall threshold, n is the number of historical construction cycles, i≤n, K is the number of moments in the historical construction cycle, k≤K, m is the number of monitoring points, j≤m, and i, n, k, K, j and m are all positive integers.

[0047] According to one embodiment of the present invention, is the maximum settlement value of the historical monitoring points at the kth moment of the i-th historical construction period among the m monitoring points. The above maximum value process can be used to determine the most abnormal settlement condition among multiple monitoring points. It is the ratio of the maximum settlement of the historical monitoring points at the kth moment of the i-th historical construction cycle to the preset settlement threshold. The larger the ratio, the larger the maximum settlement of the historical monitoring points of the m monitoring points. Can be set to 1mm, , is the average settlement of the historical monitoring points at the kth moment of the i-th historical construction period at m monitoring points, It is the ratio of the average settlement of the historical monitoring points at the kth moment of the i-th historical construction cycle to the preset settlement threshold. The larger the ratio, the larger the average settlement of the historical monitoring points at the kth moment of the i-th historical construction cycle. It is the ratio of the historical soil displacement at the kth moment of the i-th historical construction cycle to the preset soil displacement threshold. The larger the ratio, the greater the historical soil displacement. The preset soil displacement threshold can be set to 1 cm. It indicates that the maximum settlement value of the historical monitoring points, the average settlement value of the historical monitoring points and the historical soil displacement are positively correlated with the size of the sample predicted construction environment risk coefficient. For example, the maximum settlement value usually occurs in the center of the pile group, the area adjacent to existing buildings or underground pipelines, directly exposing the extreme impact of the soil squeezing effect or soil disturbance. When the maximum settlement value of the historical monitoring points of multiple monitoring points is larger, it may cause cracks in the foundations of surrounding buildings or ruptures of underground pipelines. The more serious the safety incidents that may occur during the construction process, the greater the sample predicted construction environment risk coefficient. When the average settlement value of the historical monitoring points 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). The more serious the safety incidents that may occur during the construction process, the greater the sample predicted construction environment risk coefficient. When the historical soil displacement is larger, it may cause deep landslides, posing a safety threat to adjacent structures. The more serious the safety incidents that may occur during the construction process, the greater the sample predicted construction environment risk coefficient. 、 and The larger the value of , the greater the value of the sample predicted construction environment risk coefficient.

[0048] According to one embodiment of the present invention, is the ratio of the historical pore water pressure at the kth moment of the i-th historical construction cycle to the preset pore water pressure threshold. The larger the ratio, the greater the historical pore water pressure. Can be set to 1MPa, is the ratio of the historical construction environment rainfall at the kth moment of the i-th historical construction period to the preset environment rainfall threshold. The larger the ratio, the greater the historical construction environment rainfall. Can be set to 1mm, It 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 greater the historical pore water pressure, the lower the effective stress of the soil, which induces the phenomenon of seepage collapse and damage. The more serious the safety incidents that may occur during the construction process, the greater the sample predicted construction environment risk coefficient. When the historical construction environment rainfall is greater, it may cause a sudden drop in soil bearing capacity, slope instability and foundation pit water gushing. The more serious the safety incidents that may occur during the construction process, the greater the sample predicted construction environment risk coefficient. and The larger the value of , the greater the value of the sample predicted construction environment risk coefficient.

[0049] According to one embodiment of the present invention, The relative error between the sample predicted construction environment risk coefficient at the kth moment of the i-th historical construction cycle and the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle is calculated using and The training loss function is obtained by taking a weighted average of the relative errors between the sample-predicted construction environment risk coefficient and the historical construction environment risk coefficient. During 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 thus 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 based on 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. During the calculation process, the influence of the monitoring point settlement, soil displacement, pore water pressure and rainfall on the severity of safety incidents that may 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. Based on this influence and the relative error of the sample predicted construction environment risk coefficient, the training loss function is set to reduce the training loss function of the construction environment risk prediction model during the training process, and to improve the accuracy of the construction environment risk prediction model in a more targeted manner.

[0051] According to an embodiment of the present invention, in step S5, pile foundation performance monitoring data is acquired at multiple moments in the monitoring period, wherein the pile foundation performance monitoring data includes: hole quality data and concrete quality data.

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

[0053] Figure 3 A flow chart for determining a pile foundation safety factor according to an embodiment of the present invention is exemplarily shown.

[0054] According to one embodiment of the present invention, step S6 includes: step S61, determining the hole depth and hole diameter according to the hole quality data; step S62, determining the hole quality coefficient according to the hole depth and the hole diameter; step S63, determining the concrete mix ratio and the actual poured concrete volume according to the concrete quality data; step S64, determining the mix ratio qualification result according to the concrete mix ratio; step S65, obtaining the theoretical volume of poured concrete; step S66, determining the filling coefficient according to the actual poured concrete volume and the theoretical volume of poured concrete; step S67, determining the filling coefficient according to the filling The qualified result of necking is determined by the overflow coefficient; step S68, the concrete quality coefficient is determined according to the qualified result of the mix ratio and the qualified result of necking; step S69, the pile foundation safety factor is determined according to the drilling quality coefficient and the concrete quality coefficient, wherein, if the hole depth reaches the designed bearing layer depth and the hole diameter is within the designed hole diameter range, it means that the drilling quality meets the standard, and the drilling quality coefficient is 1; if the hole depth does not reach the designed bearing layer depth or the hole diameter is not within the designed hole diameter range, the drilling quality coefficient is 0; the pile foundation safety factor is determined by summing the drilling quality coefficient and the concrete quality coefficient.

[0055] For example, the hole depth and hole diameter are detected by ultrasonic boremeter and hole depth meter; according to the construction documents, the design bearing layer depth and design hole diameter are determined. If the hole depth reaches the design bearing layer depth and the hole diameter is within the design hole diameter range, it means that the hole quality meets the standard, and the hole quality coefficient is 1. If the hole depth does not reach the design bearing layer depth or the hole diameter is not within the design hole diameter range, the hole quality coefficient is 0; through on-site verification, the concrete mix ratio and the actual poured concrete volume are detected; according to the concrete mix ratio, the design value is compared. If the cement content deviation exceeds 1% or the water-cement ratio deviation exceeds 0.02 or the sand ratio deviation exceeds 2%, the mix ratio qualification result is 0, indicating failure. Otherwise, the mix ratio is qualified. The qualified result of the total ratio is 1, which means it is qualified; determine the designed pile diameter and designed pile length according to the design parameters, and calculate the theoretical volume of poured concrete according to the designed pile diameter and designed pile length; determine the filling coefficient according to the ratio of the actual poured concrete volume to the theoretical volume of poured concrete; if the filling coefficient is within the range of 1.0 to 1.3, the qualified result of necking is 1, indicating that the possibility of necking or diameter expansion is small, otherwise, the qualified result of necking is 0, indicating that the possibility of necking or diameter expansion is large and needs to be checked; determine the concrete quality coefficient by summing the qualified result of the mix ratio and the qualified result of necking; determine the pile foundation safety factor by summing the hole quality coefficient and the concrete quality coefficient.

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

[0057] For example, when the construction equipment safety operation coefficient is equal to 7, it means that the pile hammer, drilling rig and static pile driver are operating normally. When the construction equipment safety operation coefficient is less than 7, it means that there is an abnormality in the pile hammer, drilling rig or static pile driver. The specific abnormal condition is determined based on the pile hammer operation safety results, drilling rig operation safety results and static pile driver operation safety results. When the pile hammer operation safety result is equal to 0, it means that there is an abnormality in the pile hammer operation, and the pile hammer operation needs to be suspended for inspection and maintenance. When the drilling rig operation safety result is equal to 0, it means that there is an abnormality in the drilling rig operation, and the drilling rig operation needs to be suspended for inspection and maintenance. When the static pile driver operation safety result is equal to 0, it means that there is an abnormality in the static pile driver operation, and the static pile driver operation needs to be suspended for inspection and maintenance. The output range of the construction environment risk coefficient is -2 to 9. The smaller the construction environment risk coefficient, the lower the possibility of a safety alarm being issued or the lower the alarm level of the predicted safety alarm, or the smaller the range of the predicted safety incident, the longer the processing time. Short, when the construction environment risk coefficient is larger, the possibility of issuing a safety alarm is greater or the alarm level of the predicted safety alarm is higher, or the scope of the predicted safety incident is larger and the processing time is longer. When the construction environment risk coefficient is less than 1, it means that the possibility of a safety incident is small and continuous monitoring is carried out during the construction process. When the construction environment risk coefficient is greater than or equal to 1, it means that a safety incident may occur and construction needs to be suspended for safety hazard inspection. When the pile foundation safety factor is 3, it means that the hole diameter, hole depth, concrete mix ratio and injection volume are normal. When the pile foundation safety factor is less than 3, it means that the hole diameter, hole depth or concrete mix ratio or injection volume is abnormal. The specific abnormal condition is determined based on the necking qualified result, the hole quality coefficient and the mix ratio qualified result. When the necking qualified result is 0, it is necessary to check the collapse of the hole or soil disturbance and verify the necking or concrete loss. When the mix ratio qualified result is 0, the concrete mix ratio needs to be adjusted. When the hole quality coefficient is 0, the hole depth and hole diameter need to be adjusted.

[0058] According to the pile foundation construction monitoring and control method of the embodiment of the present invention, the safety status of construction equipment, construction safety status and pile foundation safety status during the construction process can be monitored, the construction equipment safety operation coefficient, the construction environment risk coefficient and the pile foundation safety coefficient can be determined, and a monitoring and control report can be generated, thereby improving the comprehensiveness of pile foundation construction monitoring and control. When determining the historical construction environment risk coefficient, the historical construction environment risk coefficient can be determined based on the historical safety alarm occurrence time, the historical safety alarm level, the historical safety alarm content recognition result and the historical alarm processing time. During the calculation process, the historical construction environment risk coefficient can be determined based on the four aspects of safety alarm level, safety alarm content, processing time and occurrence time, so that the historical construction environment risk coefficient can reflect the danger level, urgency and impact range of safety incidents that may be caused by the current construction environment, 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 based on 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. During the calculation process, the influence of the monitoring point settlement, soil displacement, pore water pressure and rainfall on the severity of safety incidents that may 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. Based on this influence and the relative error of the sample predicted construction environment risk coefficient, the training loss function is set to reduce the training loss function of the construction environment risk prediction model during the training process, and to improve the accuracy of the construction environment risk prediction model in a more targeted manner.

[0059] Figure 4The following is a block diagram of a pile foundation construction monitoring and control system according to an embodiment of the present invention. The system includes: an operating parameter module for obtaining operating parameters of construction equipment at multiple moments in a monitoring cycle, wherein the operating parameters of the construction equipment include: drilling machine operating parameters, pile hammer parameters, and static pile driver parameters; an operating coefficient module for determining the safe operation coefficient of the construction equipment based on the operating parameters of the construction equipment; an environmental data module for obtaining construction environment monitoring data of the construction area at multiple moments in a monitoring cycle, wherein the construction environment monitoring data includes: settlement of the monitoring point, soil displacement, pore water pressure, etc. force and rainfall in the construction environment; an environmental risk module, used to process the construction environment monitoring data according to the trained construction environment risk prediction model, and determine the construction environment risk coefficient; a pile foundation data module, used to obtain pile foundation performance monitoring data at multiple moments in the monitoring period, wherein the pile foundation performance monitoring data includes: hole quality data and concrete quality data; a pile foundation safety module, used to determine the pile foundation safety factor according to the pile foundation performance monitoring data; a report generation module, used to generate a monitoring and control report according to the construction equipment safety operation coefficient, the construction environment risk coefficient and the pile foundation safety factor.

[0060] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0061] Those skilled in the art will appreciate that the embodiments of the present invention described above and shown in the accompanying drawings are intended to be illustrative only and are not intended to limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and illustrated in the embodiments. Any variations or modifications may be made to the embodiments of the present invention without departing from the principles described.

Claims

1. A pile foundation construction monitoring and control method, characterized in that: include: At multiple moments in the monitoring period, construction equipment operating parameters are obtained, wherein the construction equipment operating parameters include: drilling rig operating parameters, pile hammer parameters and static pressure pile driver parameters; based on the construction equipment operating parameters, the construction equipment safety operation coefficient is determined; at multiple moments in the monitoring period, construction environment monitoring data of the construction area are obtained, wherein the construction environment monitoring data include: monitoring point settlement, soil displacement, pore water pressure and construction environment rainfall; the construction environment monitoring data are processed according to the trained construction environment risk prediction model to determine the construction environment risk coefficient; at multiple moments in the monitoring period, pile foundation performance monitoring data are obtained, wherein the pile foundation performance monitoring data include: hole quality data and concrete quality data; based on the pile foundation performance monitoring data, the pile foundation safety coefficient is determined; based on the construction equipment safety operation coefficient, the construction environment risk coefficient and the pile foundation safety factor, a monitoring and control report is generated.

2. The pile foundation construction monitoring and control method according to claim 1, characterized in that: The safe operation coefficient of the construction equipment is determined according to the operating parameters of the construction equipment, including: determining the drill rig speed, drill rig torque and drill rig lifting force according to the drilling rig operating parameters; determining the hammer energy, hammer frequency and penetration depth according to the pile hammer parameters; determining the pile driving force, cylinder stroke difference and pile driving speed according to the static pile driver parameters; determining the safe operation coefficient of the construction equipment according to the drill rig speed, the drill rig torque, the drill rig lifting force, the hammer energy, the hammer frequency, the penetration depth, the pile driving force, the cylinder stroke difference and the pile driving speed.

3. The pile foundation construction monitoring and control method according to claim 2, characterized in that: The safe operation coefficient of the construction equipment is determined according to the drilling rig rotation speed, the drilling rig torque, the drilling rig lifting force, the hammering energy, the hammering frequency, the penetration depth, the pile driving force, the cylinder stroke difference and the pile driving speed, including: determining the pile driving hammer operation safety coefficient according to the hammering energy, the hammering frequency and the penetration depth; determining the drilling rig operation safety coefficient according to the drilling rig rotation speed, the drilling rig torque and the drilling rig lifting force; determining the static pile driver operation safety coefficient according to the pile driving force, the cylinder stroke difference and the pile driving speed; determining the construction equipment operation safety coefficient according to the drilling rig operation safety coefficient, the pile driving hammer operation safety coefficient and the static pile driver operation safety coefficient. Safety operation coefficient, where if the pile hammer operation safety coefficient is less than 3, it means that there is an abnormality in the operation of the pile hammer, and the pile hammer operation safety result is 0; otherwise, the pile hammer operation safety result is 1; if the drilling rig operation safety coefficient is less than 3, it means that there is an abnormality in the operation of the drilling rig, and the drilling rig operation safety result is 0; otherwise, the drilling rig operation safety result is 2; if the static pile driver operation safety coefficient is less than 3, it means that there is an abnormality in the operation of the static pile driver, and the static pile driver operation safety result is 0; otherwise, the static pile driver operation safety result is 4; the construction equipment safety operation coefficient is determined by summing the pile hammer operation safety result, the drilling rig operation safety result, and the static pile driver operation safety result.

4. The pile foundation construction monitoring and control method according to claim 1, characterized in that: The training steps of the construction environment risk prediction model include: obtaining historical construction logs of historical construction areas in historical construction cycles; determining historical monitoring point settlements, historical soil displacements, historical pore water pressures, and historical construction environment rainfall at multiple moments in the historical construction cycle based on the historical construction logs; determining historical safety alarm records corresponding to each moment in the historical construction cycle based on the historical construction logs; determining historical safety alarm occurrence time, historical safety alarm levels, historical safety alarm content recognition results, and historical alarm processing time based on the historical safety alarm records; determining historical construction environment risk coefficients based on the historical safety alarm occurrence time, the historical safety alarm levels, the historical safety alarm content recognition results, and the historical alarm processing time; and performing the historical monitoring point settlement, the historical safety alarm levels, the historical safety alarm content recognition results, and the historical alarm processing time based on the construction environment risk prediction model. The historical soil displacement, the historical pore water pressure and the historical construction environment rainfall are processed to determine the sample predicted construction environment risk coefficient, wherein the construction environment risk prediction model is a kind of neural network model, including: data preprocessing and input layer, feature extraction layer, feature fusion layer and decision and output layer, the construction environment risk prediction model is trained by historical data so that the construction environment risk prediction model can predict the construction environment risk coefficient; 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, the training loss function of the construction environment risk prediction model is determined; the construction environment risk prediction model is trained according to the training loss function to obtain a trained construction environment risk prediction model.

5. The pile foundation construction monitoring and control method according to claim 4, characterized in that: 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 includes: according to the formula: Determine the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the i-th historical construction period ,in, is the historical safety alarm level of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, is the historical safety alarm content recognition result of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, , is the historical alarm processing time of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, is the preset processing time threshold, is the occurrence time of the historical safety alarm record corresponding to the kth moment of the i-th historical construction cycle, The preset occurrence time threshold.

6. The pile foundation construction monitoring and control method according to claim 4, characterized in that: Determining a training loss function of a construction environment risk prediction model based on 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 includes: according to the formula: Determine the training loss function of the construction environment risk prediction model , where max is the maximum value function, Forecast the construction environment risk coefficient for the sample at the kth moment of the i-th historical construction cycle, is the historical construction environment risk coefficient of the historical safety alarm record corresponding to the kth moment of the i-th historical construction period, is the settlement of the historical monitoring point at the jth monitoring point at the kth moment in the i-th historical construction period, is the preset settlement threshold, is the historical soil displacement at the kth moment of the i-th historical construction cycle, is the preset soil displacement threshold, is the historical pore water pressure at the kth moment of the i-th historical construction cycle, is the preset pore water pressure threshold, is the historical construction environment rainfall at the kth moment of the i-th historical construction period, is the preset environmental rainfall threshold, n is the number of historical construction cycles, i≤n, K is the number of moments in the historical construction cycle, k≤K, m is the number of monitoring points, j≤m, and i, n, k, K, j and m are all positive integers.

7. The pile foundation construction monitoring and control method according to claim 1, characterized in that: Determining the pile foundation safety factor according to the pile foundation performance monitoring data includes: determining a hole depth and a hole diameter according to the hole quality data; determining a hole quality coefficient according to the hole depth and the hole diameter; determining a concrete mix ratio and an actual poured concrete volume according to the concrete quality data; determining a qualified mix ratio result according to the concrete mix ratio; obtaining a theoretical volume of poured concrete; determining a filling coefficient according to the actual poured concrete volume and the theoretical poured concrete volume; determining a qualified necking result according to the filling coefficient; determining a concrete quality coefficient according to the qualified mix ratio result and the qualified necking result; determining a pile foundation safety factor according to the hole quality coefficient and the concrete quality coefficient, wherein if the hole depth reaches the designed bearing layer depth and the hole diameter is within the designed hole diameter range, indicating that the hole quality meets the standard, the hole quality coefficient is 1; if the hole depth does not reach the designed bearing layer depth or the hole diameter is not within the designed hole diameter range, the hole quality coefficient is 0; and determining the pile foundation safety factor by summing the hole quality coefficient and the concrete quality coefficient.

8. A pile foundation construction monitoring and control system, characterized in that: include: An operating parameter module is used to obtain the operating parameters of the construction equipment at multiple moments in the monitoring period, wherein the operating parameters of the construction equipment include: drilling rig operating parameters, pile hammer parameters and static pressure pile driver parameters; an operating coefficient module is used to determine the safe operation coefficient of the construction equipment based on the operating parameters of the construction equipment; an environmental data module is used to obtain the construction environment monitoring data of the construction area at multiple moments in the monitoring period, wherein the construction environment monitoring data include: monitoring point settlement, soil displacement, pore water pressure and construction environment rainfall; an environmental risk module is used to process the construction environment monitoring data according to the trained construction environment risk prediction model to determine the construction environment risk coefficient; a pile foundation data module is used to obtain the pile foundation performance monitoring data at multiple moments in the monitoring period, wherein the pile foundation performance monitoring data includes: hole quality data and concrete quality data; a pile foundation safety module is used to determine the pile foundation safety coefficient based on the pile foundation performance monitoring data; a report generation module is used to generate a monitoring and control report based on the construction equipment safe operation coefficient, the construction environment risk coefficient and the pile foundation safety factor.

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