Deep cement mixing pile construction parameter optimization method and system, device and medium

Abstract

The present invention relates to a deep cement mixing pile construction parameter optimization method and system, a device and a medium. The method comprises: according to survey information of a construction area, determining in the construction area soil layer information corresponding to different depth segments, the soil layer information comprising soil layer types and soil layer parameters corresponding to the soil layer types; presetting an age and, for each soil layer type, presetting multiple groups of construction parameters corresponding to the soil layer type, and separately combining into input information each group of construction parameters, the set age, the soil layer type and the soil layer parameters corresponding to the soil layer type; inputting each group of input information into a constructed pile quality prediction model, so as to obtain pile quality corresponding to each group of input information, and denoting as target construction parameters the construction parameters in the input information having the pile quality satisfying a design requirement; and combining the target construction parameters of different soil layer types with each other, so as to obtain a plurality of construction parameter combinations of a mixing pile, the construction parameters in the construction parameter combinations corresponding to different soil layer types.

Description

Method, system, equipment and medium for optimizing construction parameters of deep cement mixing piles Technical Field

[0001] The present invention belongs to the technical field of mixing piles, and in particular relates to a method, system, equipment and medium for optimizing construction parameters of deep cement mixing piles. Background Art

[0002] The optimization of deep cement mixing pile construction process parameters typically relies on construction experience, selecting the water-cement ratio and cement content, and then conducting indoor mix proportion tests to test multiple mix proportions that meet design requirements. Field tests are then conducted to verify the mix proportions determined in the mix proportion tests and select appropriate process parameters. This traditional method of optimizing deep cement mixing pile process parameters is long and costly, as indoor mix proportion tests typically take three months. There are also few selectable process parameters. Furthermore, indoor mix proportion tests are inconsistent with actual on-site conditions, as indoor mix proportion tests are conducted under the premise of sufficient and uniform mixing, which is not necessarily the case in real construction environments.

[0003] Summary of the Invention

[0004] The purpose of the present invention is to provide a method, system, equipment and medium for optimizing the construction parameters of deep cement mixing piles, establish a pile quality prediction model, predict the pile quality under different soil layers and different construction parameters, and quickly provide a variety of optional construction parameters for project construction.

[0005] The present invention is achieved through the following technical solutions:

[0006] A method for optimizing construction parameters of deep cement mixing piles, comprising the following steps:

[0007] Determine soil layer information corresponding to different depths in the construction area based on survey information of the construction area, wherein the soil layer information includes soil layer types and soil layer parameters corresponding to the soil layer types;

[0008] The age is pre-set, and for each soil layer type, multiple sets of construction parameters corresponding to the soil layer type are pre-set, and each set of construction parameters is respectively combined with the set age, soil layer type, and soil layer parameters corresponding to the soil layer type as input information, thereby obtaining multiple sets of input information for each soil layer type;

[0009] Each set of input information is input into the constructed pile quality prediction model to obtain the pile quality corresponding to each set of input information, and the construction parameters in the input information whose pile quality meets the design requirements are recorded as target construction parameters, thereby obtaining a number of target construction parameters for each soil layer type;

[0010] The target construction parameters of different soil layer types are combined with each other to obtain several construction parameter combinations of mixing piles, wherein each construction parameter in the construction parameter combination corresponds to a different soil layer type.

[0011] Furthermore, the construction parameters include cement content, water content, number of mixing and cutting per meter after spraying, and number of mixing and cutting per meter before spraying;

[0012] The construction process of the pile quality prediction model is as follows:

[0013] (1) Obtaining historical construction information and inspection information of multiple constructed piles, wherein the historical construction information includes soil layer information corresponding to different depth sections in the area where the constructed piles are located and construction data collected at preset intervals during the construction of the constructed piles, wherein the inspection information includes the inspection age of the constructed piles and the pile quality of the constructed piles at different depth sections under the inspection age, and the construction data collected includes recording time, real-time grouting flow rate, real-time water spraying flow rate, real-time penetration speed, real-time lifting speed, real-time rotation speed, and drill head end elevation;

[0014] (2) For each constructed pile, based on the construction data collected at preset intervals during the construction process of the constructed pile, the construction parameters of the constructed pile at different depths are counted;

[0015] (3) Construct a data set based on soil layer information, construction parameters, inspection age, and pile quality corresponding to different depth sections of multiple constructed piles;

[0016] (4) Divide the data set into a training set and a test set, and use the training set and the test set to train the pile quality prediction model to obtain a trained pile quality prediction model.

[0017] Furthermore, in the step of obtaining historical construction information and detection information of a plurality of constructed piles, the construction process of the constructed piles must meet preset preconditions, which include:

[0018] The mixing head of the mixing pile machine has an upper nozzle and a lower nozzle. When the mixing head is lifted, the upper nozzle is used to spray grout or water, and when the mixing head is lowered, the lower nozzle is used to spray grout or water.

[0019] The interval between switching from spraying to water spraying or from water spraying to spraying shall not exceed the preset switching time;

[0020] Before using the pile mixing machine for construction, the delivery pipe of the pile mixing machine is filled with water;

[0021] The step of calculating the construction parameters of each constructed pile at different depths based on the construction data collected at preset intervals during the construction of the constructed pile comprises:

[0022] (21) Sort the recorded construction data in order of recording time;

[0023] (22) Calculate the cement content and water content corresponding to each depth section;

[0024] (221) Based on the sorting order, one construction collection data is selected from multiple construction collection data as the target construction collection data, and the real-time slurry discharge flow rate and real-time water discharge flow rate corresponding to the target construction collection data are obtained according to the preset rules, thereby obtaining the real-time slurry discharge flow rate and real-time water discharge flow rate corresponding to each construction collection data;

[0025] (222) For each construction data collection, determine the depth segment corresponding to the construction data collection according to the real-time lifting speed and drill head elevation in the construction data collection;

[0026] (223) For each depth segment, the cement parameter corresponding to the depth segment is calculated according to formula (1), and the water yield corresponding to the depth segment is calculated according to formula (2), where formula (1) is as follows:

[0027] Where a c is the cement content, ∑Q 浆 is the sum of the real-time slurry discharge of the construction data collected at the corresponding depth section, ρ 水泥浆 is the cement paste density, μ is the water-cement ratio, A is the treatment area of ​​the mixing pile, and L is the length of the depth section;

[0028] Formula (2) is as follows:

[0029] Where a w is the water content, ∑Q 水 is the sum of the real-time outflow of the construction data collected at the corresponding depth segment, ρ 水 is the water density;

[0030] (23) Count the number of mixing and cutting per meter after spraying and the number of mixing and cutting per meter before spraying corresponding to each depth section;

[0031] (231), grouping the construction data corresponding to the real-time slurry discharge flow rate greater than zero into a group, and determining the initial slurry discharge time and the lowest slurry discharge elevation based on the construction data in the group;

[0032] (232) For each construction collection data, if the recording time in the construction collection data is greater than the initial slurry discharge time, the construction collection data is recorded as valid construction collection data, otherwise the construction collection data is recorded as invalid construction collection data;

[0033] (233) For each construction data collection, if the value of the drill head elevation minus the lowest slurry discharge elevation in the construction data exceeds the distance between the upper and lower nozzles of the mixing head, then the number of effective mixing blades n corresponding to the construction data is 有效 =n 层 ×n 叶 Otherwise, the number of effective mixing blades n corresponding to the construction data collection is 有效 =n 层整 ×n 叶 , Among them, H t H is the elevation of the drill bit end, 出浆min is the lowest discharge height, L 喷口 The distance between the upper and lower nozzles of the mixing head;

[0034] (234) determining the depth segment corresponding to each construction collection data according to the elevation of the drill bit end in each construction collection data;

[0035] (235) For each depth segment, the effective construction collection data corresponding to the depth segment is included in the statistics, and the effective mixing times N of each effective construction collection data is calculated. 有效 =T t ·n t ·n 有效 Then, sum up the effective mixing times of the effective construction data collected for the depth segment to obtain the mixing and cutting times per meter after the shotcrete for the depth segment, n t is the real-time rotation speed, T t is the preset interval time;

[0036] (236) For each depth segment, the invalid construction data corresponding to the depth segment are included in the statistics, and the number of pre-mixing times N of each invalid construction data is calculated. 预 =T t ·n t ·n 有效 , and then sum up the pre-mixing times of the invalid construction collection data corresponding to the depth segment to obtain the mixing and cutting times per meter before spraying corresponding to the depth segment.

[0037] Furthermore, the step of obtaining the real-time slurry discharge flow and the real-time water discharge flow corresponding to the target construction collection data according to the preset rules includes:

[0038] (2221), determining whether the real-time spraying flow rate in the target construction collection data and the construction collection data located at the first preset number of times behind it are all zero, if not, proceeding to step (2222), if so, proceeding to step (2223);

[0039] (2222), adding the real-time grouting flow rate of the target construction collection data to the cumulative grouting flow rate, judging whether the cumulative grouting flow rate is less than the volume of the delivery pipeline, if so, proceeding to step (2224), if not, proceeding to step (2225), wherein the initial value of the cumulative grouting flow rate is zero;

[0040] (2223), returning the value of the accumulated grouting flow rate to zero;

[0041] (2224), setting the real-time slurry discharge flow corresponding to the target construction collection data to zero, and setting the real-time water discharge flow corresponding to the target construction collection data to the real-time shotcrete discharge flow of the target construction collection data;

[0042] (2225), setting the real-time slurry discharge flow rate corresponding to the target construction collection data to the real-time shotcrete discharge flow rate of the target construction collection data, and setting the real-time water discharge flow rate corresponding to the target construction collection data to zero;

[0043] (2226) Check whether the real-time water spray flow rates in the target construction collection data and the construction collection data of the first preset number of times thereafter are all zero. If not, proceed to step (2227); if so, proceed to step (2228);

[0044] (2227) Add the real-time spraying flow of the target construction collection data to the cumulative irrigation flow, determine whether there is a real-time spraying flow greater than zero in the construction collection data located a second preset number of times before the target construction collection data, and determine whether the cumulative irrigation flow is less than the volume of the delivery pipeline. If so, proceed to step (2229); if not, proceed to step (22210), wherein the initial value of the cumulative irrigation flow is zero;

[0045] (2228), reset the value of the accumulated irrigation flow to zero;

[0046] (2229), the real-time slurry discharge flow corresponding to the target construction collection data is set as the real-time water spray flow of the target construction collection data, and the real-time water discharge corresponding to the target construction collection data is set to zero,

[0047] (22210) The real-time slurry discharge flow rate corresponding to the target construction collection data is set to zero, and the real-time water discharge flow rate of the target construction collection data is set to the real-time water spray flow rate of the target construction collection data.

[0048] Furthermore, the construction parameters also include a sweep volume ratio, which is calculated by the following formula:

[0049] Where B is the width of the stirring blade of the stirring head, l is the length of the stirring blade of the stirring head, α is the inclination angle between the stirring blade of the stirring head and the horizontal plane, and n is the inclination angle between the stirring blade of the stirring head and the horizontal plane. 转 V is the speed of the stirring head downward. 贯 is the penetration speed of the mixing head, d is the diameter of the drill rod of the mixing head, n 层 is the number of layers of the mixing blades of the mixing head, n 叶 The number of stirring blades on each layer of the stirring head.

[0050] The present invention also provides a deep cement mixing pile construction parameter optimization system, comprising:

[0051] A first determination module is configured to determine soil layer information corresponding to different depth sections in the construction area based on survey information of the construction area, wherein the soil layer information includes soil layer types and soil layer parameters corresponding to the soil layer types;

[0052] A combination module is used to pre-set an age and, for each soil layer type, pre-set multiple sets of construction parameters corresponding to the soil layer type, and respectively combine each set of construction parameters with the set age, soil layer type, and soil layer parameters corresponding to the soil layer type as input information to obtain multiple sets of input information for each soil layer type;

[0053] An input module is used to input each set of input information into the constructed pile quality prediction model to obtain the pile quality corresponding to each set of input information, and record the construction parameters in the input information whose pile quality meets the design requirements as target construction parameters, thereby obtaining a number of target construction parameters for each soil layer type;

[0054] The second determination module is used to combine target construction parameters of different soil layer types to obtain several construction parameter combinations of mixing piles, wherein each construction parameter in the construction parameter combination corresponds to a different soil layer type.

[0055] The present invention further provides an electronic device, comprising:

[0056] processor;

[0057] a memory for storing executable computer programs;

[0058] Wherein, when the processor executes the computer program, the steps of the deep cement mixing pile construction parameter optimization method are implemented.

[0059] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for optimizing the construction parameters of deep cement mixing piles are implemented.

[0060] Compared with the existing technology, the beneficial effects of the present invention are: by constructing a pile quality prediction model, the soil layer information of the construction area and the pre-set age and construction parameters are input into the pile quality prediction model to obtain the pile quality corresponding to the construction parameters, and then the construction parameters are selected in combination with the pile quality, so as to predict the pile quality under different soil layer types and different construction parameters through big data analysis and prediction methods, and a variety of optional construction parameters can be quickly provided for project construction, without the need for age maintenance, high time period and efficiency, and more in line with actual engineering conditions than indoor coordination tests. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] FIG1 is a flow chart showing the steps of a method for optimizing construction parameters of deep cement mixing piles according to the present invention;

[0062] Figure 2 is a schematic structural diagram of a pile mixing machine;

[0063] FIG3 is a schematic diagram of a module of a deep cement mixing pile construction parameter optimization system according to the present invention;

[0064] FIG4 is a hardware structure diagram of the electronic device of the present invention.

[0065] In the figure, 10-mixing head, 11-clamp, 12-drill rod, 13-motor, 14-center rod, 15-drill bit, 16-drill bit holder, 17-mixing blade, 18-upper nozzle, 19-lower nozzle, 20-delivery pipe, 30-second connecting pipe, 40-spraying pump, 50-water spraying pump, 60-spraying flow meter, 70-water spraying flow meter. DETAILED DESCRIPTION

[0066] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0067] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0068] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are used only to distinguish the description and should not be understood as indicating or implying relative importance.

[0069] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0070] In the description of the present invention, it should be noted that the terms "upper", "lower", "inside", "outside", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, or are the orientations or positional relationships in which the inventive product is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they should not be understood as limiting the present invention.

[0071] Please refer to Figure 1, which is a flowchart of the steps of the method for optimizing the construction parameters of deep cement mixing piles according to the present invention. A method for optimizing the construction parameters of deep cement mixing piles includes the following steps:

[0072] S1. Determine soil layer information corresponding to different depths in the construction area based on the survey information of the construction area, where the soil layer information includes soil layer types and soil layer parameters corresponding to the soil layer types;

[0073] S2. Presetting an age period and, for each soil layer type, presetting multiple sets of construction parameters corresponding to the soil layer type, respectively combining each set of construction parameters with the set age period, soil layer type, and soil layer parameters corresponding to the soil layer type as input information, thereby obtaining multiple sets of input information for each soil layer type;

[0074] S3. Input each set of input information into the constructed pile quality prediction model to obtain the pile quality corresponding to each set of input information, and record the construction parameters in the input information whose pile quality meets the design requirements as target construction parameters, thereby obtaining a number of target construction parameters for each soil layer type;

[0075] S4. Combining target construction parameters of different soil layer types to obtain several construction parameter combinations of mixing piles, wherein each construction parameter in the construction parameter combination corresponds to a different soil layer type.

[0076] In the above step S1, before cement mixing pile construction is carried out in the construction area, the construction area will be surveyed, such as coring the construction area, and dividing the soil layer types belonging to different depth sections after taking out the soil samples. In accordance with the requirements of the survey specifications, soil layers less than 0.5m are not divided into separate soil layers, so the length of the depth section can be selected as 0.5m. In addition, since the soil layer parameters of the same soil layer type in different projects may be different, the soil layer parameters of different soil layer types in the construction area are tested to obtain the soil layer parameters corresponding to the soil layer type, so as to form the survey information of the construction area. Soil layer parameters include c value, φ value, natural density, dry density, moisture content, liquid limit, plastic limit, particle analysis, etc. Therefore, based on the survey information, the soil layer types and soil layer parameters corresponding to the soil layer types at different depths in the construction area can be determined.

[0077] In the above step S2, after the construction of the mixing pile, the strength at different ages is different, so the age is pre-selected to obtain the pile quality at the selected age after the construction of the mixing pile. Generally, after the age of the mixing pile exceeds 28 days, the strength of the mixing pile increases slowly, and after exceeding 90 days, it basically stops increasing, so the age can generally be selected as 28 days or 90 days. And based on the soil layer types of different depth segments in the soil layer information determined by the survey information, combined with past experience, multiple sets of mixing pile construction parameters are pre-set for each soil layer type, and then each set of construction parameters is combined with the set age and soil layer type as input information, thereby obtaining multiple sets of input information for each soil layer type, which is used to input into the pile quality prediction model for prediction, wherein the input information includes construction parameters, age, soil layer type and soil layer parameters corresponding to the soil layer type, and the soil layer type included in the input information is the input information of the soil layer type.

[0078] In the above step S3, a pile quality prediction model is pre-constructed. The pile quality prediction model can adopt a neural network algorithm, and of course other algorithms can also be adopted. The input of the pile quality prediction model is the soil layer type, the soil layer parameters corresponding to the soil layer type, the construction parameters and the age. The output of the pile quality prediction model is the pile quality. The pile quality can be measured by indicators such as the unconfined compressive strength and elastic modulus of the mixing pile. The construction parameters include cement content, water content, the number of mixing and cutting per meter after spraying, and the number of mixing and cutting per meter before spraying.

[0079] Furthermore, the construction process of the pile quality prediction model is as follows:

[0080] (1) Obtaining historical construction information and inspection information of multiple constructed piles, wherein the historical construction information includes soil layer information corresponding to different depth sections in the area where the constructed piles are located and construction data collected at preset intervals during the construction of the constructed piles, the inspection information includes the inspection age of the constructed piles and the pile quality of the constructed piles at different depth sections under the inspection age, and the construction data collected includes recording time, real-time grouting flow rate, real-time water spraying flow rate, real-time penetration speed, real-time lifting speed, real-time rotation speed, and drill head end elevation;

[0081] (2) For each constructed pile, based on the construction data collected at preset intervals during the construction process of the constructed pile, the construction parameters of the constructed pile at different depths are counted;

[0082] (3) Construct a data set based on soil layer information, construction parameters, inspection age, and pile quality corresponding to different depth sections of multiple constructed piles;

[0083] (4) Divide the data set into a training set and a test set, and use the training set and the test set to train the pile quality prediction model to obtain a trained pile quality prediction model.

[0084] In step (1) above, for some constructed piles, after reaching a certain age, they will be cored and the cement-soil core samples taken will be subjected to strength tests to obtain test information of the constructed piles at different depths. The test information includes indicators such as unconfined compressive strength and elastic modulus. For each constructed pile tested, its pile number, test age, and elevation are all assigned. Based on its nearest exploration hole, the soil layer information corresponding to different depths in the area where the constructed pile is located can be obtained. The construction of mixing piles is generally carried out by using a mixing pile machine. As shown in FIG2 , the mixing pile machine generally includes a mixing head 10, a conveying pipe 20 and a winch for driving the mixing head to rise and fall. The mixing head 10 includes a clamp 11, a plurality of drill rods 12 arranged on the clamp 11, a motor 13 connected to the plurality of drill rods 12 for driving the drill rods to rotate, a center rod 14 arranged on the motor 13 and located between the plurality of drill rods 12, a plurality of drill bits 15 respectively arranged at the bottom of the plurality of drill rods 12 and a drill bit holder 16 arranged on the plurality of drill bits 15, and a plurality of layers of mixing blades 17 are provided on the drill bit 15. Each layer of mixing blades 17 The invention comprises a plurality of mixing blades 17 arranged along the circumference of the drill bit 15. The center rod 14 is hollow inside. An upper nozzle 18 is provided at the bottom end of the outer wall of the center rod 14. A lower nozzle 19 is provided at the bottom end of the outer wall of the drill bit 15. The upper nozzle 18 and the lower nozzle 19 are respectively connected to the delivery pipe 20 through a first connecting pipe. The delivery pipe 20 is connected to the spray pump 40 and the water spray pump 50 through different second connecting pipes 30. The second connecting pipe 30 connected to the spray pump 40 is provided with a spray flow meter 60. The second connecting pipe 30 connected to the water spray pump 50 is provided with a water spray flow meter 70. The delivery pipe 20 is used to transport cement slurry or water. Therefore, when using a pile mixing machine to construct a pile, the pile mixing machine will record the real-time spray flow rate Q of its construction process at preset intervals. 浆t , real-time water spray flow Q 水t , real-time penetration speed V 下t , Real-time speed improvement V 上t , real-time rotation speed n t and drill head elevation H t , and combined with the recording time T t The construction data collection is a prior art and will not be described in detail here. The preset interval is usually 5 seconds. This allows the acquisition of historical construction information and inspection information for multiple constructed piles in previous projects.

[0085] In the above step 2, for each constructed pile, based on the recording time T recorded at preset intervals during the construction process of the constructed pile, t , real-time shotcrete flow Q 浆t , real-time water spray flow Q 水t , real-time penetration speed V 下t , Real-time speed improvement V 上t, real-time rotation speed n t and drill head elevation H t , the cement content, water content, mixing and cutting times per meter after shotcreting, and mixing and cutting times per meter before shotcreting in different depth sections are counted, so as to obtain the construction parameters of the constructed piles in different depth sections.

[0086] To implement a universal statistical method, further, in step S1, in the step of obtaining historical construction information and detection information of multiple constructed piles, the construction process of the constructed piles must meet preset preconditions, which include:

[0087] a. The mixing head of the pile mixing machine has an upper nozzle and a lower nozzle. Since spraying or water spraying is required before mixing, the upper nozzle is used to spray slurry or water when the mixing head is raised, and the lower nozzle is used to spray slurry or water when the mixing head is lowered;

[0088] b. When switching from grouting to water spraying or from water spraying to grouting, the interval time shall not exceed the preset switching time; the general switching time is set to 1 minute, mainly because sometimes water spraying will stop for a period of time and then spray again, and the interval time in between is long or short. If the time for switching from grouting to water spraying is too long, it is difficult to distinguish from the original data processing process whether it is water or slurry remaining in the pipeline before water spraying, and it is impossible to judge whether the slurry water has switched. When slurry water switching is required for construction, one pump is usually turned off and another pump is immediately started. The interval of no more than 1 minute is mainly for the convenience of program setting. It can also avoid the situation where some construction collection data is 0 due to data collection abnormalities, leading to misjudgment;

[0089] c. After each construction, the pipeline needs to be flushed with water to avoid clogging of the pipeline by residual cement slurry. Therefore, the delivery pipeline of the pile mixing machine is filled with water before the construction.

[0090] In addition, according to the specific structure of the mixing pile machine, the volume V of the conveying pipeline can be obtained. 管 , Number of stirring blade layers n 层 , the number of stirring blades per layer n 叶 , the distance between the upper nozzle and the lower nozzle L 喷口 The volume of the first connecting pipe between the upper nozzle and the lower nozzle and the conveying pipeline is much smaller than the volume of the conveying pipeline and can be ignored when calculating the construction parameters.

[0091] In step (2), for each constructed pile, based on the construction data collected at preset intervals during the construction process of the constructed pile, the steps of calculating the construction parameters of the constructed pile at different depths include:

[0092] (21) Sort the recorded construction data in order of recording time;

[0093] (22) Calculate the cement content and water content corresponding to each depth section;

[0094] (221) Based on the sorting order, one construction collection data is selected from multiple construction collection data as the target construction collection data, and the real-time slurry discharge flow rate and real-time water discharge flow rate corresponding to the target construction collection data are obtained according to the preset rules, thereby obtaining the real-time slurry discharge flow rate and real-time water discharge flow rate corresponding to each construction collection data;

[0095] (222) For each construction data collection, determine the depth segment corresponding to the construction data collection according to the real-time lifting speed and drill head elevation in the construction data collection;

[0096] (223) For each depth segment, the cement parameter corresponding to the depth segment is calculated according to formula (1), and the water yield corresponding to the depth segment is calculated according to formula (2), where formula (1) is as follows:

[0097] Where a c is the cement content, ∑Q 浆 is the sum of the real-time slurry discharge of the construction data collected at the corresponding depth section, ρ 水泥浆 is the cement paste density, μ is the water-cement ratio, A is the treatment area of ​​the mixing pile, and L is the length of the depth section;

[0098] Formula (2) is as follows:

[0099] Where a w is the water content, ∑Q 水 is the sum of the real-time outflow of the construction data collected at the corresponding depth segment, ρ 水 is the water density;

[0100] (23) Count the number of mixing and cutting per meter after spraying and the number of mixing and cutting per meter before spraying corresponding to each depth section;

[0101] (231), grouping the construction data corresponding to the real-time slurry discharge flow rate greater than zero into a group, and determining the initial slurry discharge time and the lowest slurry discharge elevation based on the construction data in the group;

[0102] (232) For each construction collection data, if the recording time in the construction collection data is greater than the initial slurry discharge time, the construction collection data is recorded as valid construction collection data, otherwise the construction collection data is recorded as invalid construction collection data;

[0103] (233) For each construction data collection, if the value of the drill head elevation minus the lowest slurry discharge elevation in the construction data exceeds the distance between the upper and lower nozzles of the mixing head, then the number of effective mixing blades n corresponding to the construction data is 有效 =n 层 ×n 叶 Otherwise, the number of effective mixing blades n corresponding to the construction data collection is 有效 =n 层整 ×n 叶 , Among them, H t H is the elevation of the drill bit end, 出浆min is the lowest discharge height, L 喷口 The distance between the upper and lower nozzles of the mixing head;

[0104] (234) determining the depth segment corresponding to each construction collection data according to the elevation of the drill bit end in each construction collection data;

[0105] (235) For each depth segment, the effective construction collection data corresponding to the depth segment is included in the statistics, and the effective mixing times N of each effective construction collection data is calculated. 有效 =T t ·n t ·n 有效 Then, sum up the effective mixing times of the effective construction data collected for the depth segment to obtain the mixing and cutting times per meter after the shotcrete for the depth segment, n t is the real-time rotation speed, T t is the preset interval time;

[0106] (236) For each depth segment, the invalid construction data corresponding to the depth segment are included in the statistics, and the number of pre-mixing times N of each invalid construction data is calculated. 预 =T t ·n t ·n 有效 , and then sum up the pre-mixing times of the invalid construction collection data corresponding to the depth segment to obtain the mixing and cutting times per meter before spraying corresponding to the depth segment.

[0107] In the above step (21), the construction collection data are first sorted from small to large according to the recording time, so as to facilitate the subsequent processing of each construction collection data.

[0108] In the above step (221), according to the sorting order of step (21), one construction collection data is selected in turn from the multiple recorded construction collection data as the target construction collection data, and the real-time slurry discharge flow rate and the real-time water discharge flow rate corresponding to the target construction collection data are obtained according to the preset rules. Specifically, the step of obtaining the real-time slurry discharge flow rate and the real-time water discharge flow rate corresponding to the target construction collection data according to the preset rules includes:

[0109] (2221), determining whether the real-time spraying flow rate in the target construction collection data and the construction collection data located at the first preset number of times behind it are all zero, if not, proceeding to step (2222), if so, proceeding to step (2223);

[0110] (2222), adding the real-time grouting flow rate of the target construction collection data to the cumulative grouting flow rate, judging whether the cumulative grouting flow rate is less than the volume of the delivery pipeline, if so, proceeding to step (2224), if not, proceeding to step (2225), wherein the initial value of the cumulative grouting flow rate is zero;

[0111] (2223), returning the value of the accumulated grouting flow rate to zero;

[0112] (2224), setting the real-time slurry discharge flow corresponding to the target construction collection data to zero, and setting the real-time water discharge flow corresponding to the target construction collection data to the real-time shotcrete discharge flow of the target construction collection data;

[0113] (2225), setting the real-time slurry discharge flow rate corresponding to the target construction collection data to the real-time shotcrete discharge flow rate of the target construction collection data, and setting the real-time water discharge flow rate corresponding to the target construction collection data to zero;

[0114] (2226) Check whether the real-time water spray flow rates in the target construction collection data and the construction collection data of the first preset number of times thereafter are all zero. If not, proceed to step (227); if so, proceed to step (228);

[0115] (2227) Add the real-time spraying flow of the target construction collection data to the cumulative irrigation flow, determine whether there is a real-time spraying flow greater than zero in the construction collection data located a second preset number of times before the target construction collection data, and determine whether the cumulative irrigation flow is less than the volume of the delivery pipeline. If so, proceed to step (229); if not, proceed to step (2210), wherein the initial value of the cumulative irrigation flow is zero;

[0116] (2228), reset the value of the accumulated irrigation flow to zero;

[0117] (2229), the real-time slurry discharge flow corresponding to the target construction collection data is set as the real-time water spray flow of the target construction collection data, and the real-time water discharge corresponding to the target construction collection data is set to zero;

[0118] (22210) The real-time slurry discharge flow rate corresponding to the target construction collection data is set to zero, and the real-time water discharge flow rate of the target construction collection data is set to the real-time water spray flow rate of the target construction collection data.

[0119] In the above steps (2221) to (2225), since the construction data collected during the project are not always recorded accurately and effectively, a first preset number is set to reduce the probability of incorrect recording of the construction data, so as to make the statistics more accurate. The first preset number can be 2 or more, such as the first preset number can be set to 2 or 5. The following description is based on the first preset number being 5, that is, starting from the target construction data, if the real-time grouting flow rate in the construction data collected for 6 consecutive times is zero, it means that the grouting has ended since the target construction data was collected, and water will then be sprayed into the delivery pipe to drive out the cement slurry in the delivery pipe, thereby returning the cumulative grouting flow rate to zero. If, starting from the target construction collection data, there are construction collection data with real-time grouting flow greater than zero in the construction collection data for 6 consecutive times, it means that the target construction collection data is in grouting construction. Therefore, the real-time grouting flow of the target construction collection data is added to the cumulative grouting flow to obtain a new cumulative grouting flow, and then it is judged whether the cumulative grouting flow is greater than the volume of the conveying pipeline. This is because the conveying pipeline is initially full of water. If the cumulative grouting flow is less than the volume of the conveying pipeline, it means that the cement slurry is still in the conveying pipeline and has not yet been ejected from the nozzle. Therefore, when the target construction data is collected, the real-time slurry flow is zero, and the real-time water flow is the real-time slurry flow of the target construction collection data. If the cumulative grouting flow is greater than or equal to the volume of the conveying pipeline, it means that the cement slurry has driven out all the water in the conveying pipeline and ejected it from the nozzle. Therefore, when the target construction data is collected, the real-time slurry flow is the real-time grouting flow of the target construction collection data, and the real-time water flow is zero.

[0120] In steps (2226) through (22210), if the real-time water spray flow rate in the six consecutive construction collection data points is zero, starting from the target construction collection data, the current water spraying has ended. Cement slurry will then be sprayed into the delivery pipe, driving the water out of the delivery pipe through the cement slurry. Therefore, the cumulative water flow rate is reset to zero. If, starting from the target construction collection data, there is a construction collection data point with a real-time water spray flow rate greater than zero in the six consecutive construction collection data points, it indicates that the target construction collection data is in the process of water spraying. Therefore, the real-time water spray flow rate of the target construction collection data is added to the cumulative water flow rate to obtain a new cumulative water flow rate. The second preset number can be set to 12. If the real-time grouting flow rate is greater than zero in the 12 construction collection data before the target construction collection data, it means that there was a grouting process before this water spraying. Therefore, it is necessary to judge whether this water spraying has driven out all the cement slurry in the conveying pipe. Therefore, it is necessary to judge whether the cumulative water injection flow rate is less than the volume of the conveying pipe. If the cumulative water injection flow rate is less than the volume of the conveying pipe, it means that there is still cement slurry in the conveying pipe. Therefore, when the target construction collection data is collected, the real-time grouting flow rate is the real-time water injection flow rate of the target construction collection data, and the real-time water output is zero; if the cumulative water injection flow rate is greater than or equal to the volume of the conveying pipe, it means that the water has driven out all the cement slurry in the conveying pipe and sprayed out from the nozzle. Therefore, when the target construction collection data is collected, the real-time grouting flow rate is zero, and the real-time water output flow rate is the real-time water injection flow rate of the target construction collection data. In this way, the real-time grouting flow rate and real-time water output flow rate corresponding to each target construction collection data can be obtained through steps (2221) to (22210).

[0121] In the above step (222), for each construction data collection, if the real-time lifting speed in the construction data is greater than or equal to zero, it means that the mixing head is in the lifting state. Therefore, according to the precondition, the upper nozzle is used to discharge slurry or water at this time. The elevation of the upper nozzle is H 上喷口 =H t +L 喷口 , H t is the elevation of the drill bit end, L 喷口 The distance between the nozzle and the lower nozzle on the mixing head, that is, the elevation of the slurry outlet used in the construction data collection is H 上喷口 If the real-time penetration speed in the construction data is greater than zero, it means that the mixing head is penetrating downwards, so the lower nozzle is used to discharge slurry or water. The elevation of the lower nozzle is H. 下喷口 =H t That is, the elevation of the slurry outlet used in the construction data collection is H 下喷口Based on the survey information of the construction area, the elevation ranges corresponding to different depth segments can be obtained, such as [0, -0.5], (-0.5, -1.0], (-1.0, -1.5]... Therefore, for each construction data collection, the elevation range of the slurry outlet of the construction data is determined, and the corresponding depth segment is obtained from the elevation range, thereby determining the depth segment corresponding to the construction data collection.

[0122] In the above step (223), for each depth segment, according to formula (1) Calculate the cement content corresponding to the depth segment and use formula (2) The water content corresponding to the depth segment is calculated, where L is the length of the depth segment. In this embodiment, the soil layer is divided into 0.5-meter intervals, so L is 0.5 meters. In the formula, the denominator is volume, the numerator is mass, and 1000 is the conversion unit.

[0123] In the above step (231), if the real-time slurry discharge volume in the construction collection data is greater than zero, it means that the mixing after spraying is carried out by the mixing head at this time, so the construction collection data is included in the statistics, otherwise it is not included in the statistics, and the construction collection data included in the statistics are grouped into a group, and then the recording time of the construction collection data in the group is compared, and the smallest recording time is determined as the initial slurry discharge time, and then based on the elevation of the slurry discharge outlet used by the construction collection data determined in the above step (222), the elevation of the slurry discharge outlet of the construction collection data in the group is compared, and the elevation of the smallest slurry discharge outlet is determined as the lowest slurry discharge elevation.

[0124] In the above step (232), for each construction collection data, if the recorded time in the construction collection data is greater than the initial slurry discharge time, it means that the construction collection data is stirred after spraying, and the stirring of the construction collection data is effective stirring, so the construction collection data is recorded as effective construction collection data; if the recorded time in the construction collection data is less than or equal to the initial slurry discharge time, it means that the construction collection data is stirred before spraying, and the stirring of the construction collection data is invalid stirring, so the construction collection data is recorded as invalid construction collection data.

[0125] In the above step (233), n 层 It indicates the number of layers of stirring blades on the stirring head, n 层整It is the number of layers of mixing blades involved in the mixing of the statistical section. For example, if the length of the statistical depth section is 0.5 meters, when counting the number of effective mixing times at the bottom of the pile, it is necessary to know how many mixing blades participated in the mixing of this pile section. For example, if the distance between the upper and lower nozzles of the mixing head is 4 meters, and there are 4 layers of mixing blades, then only 1 layer of mixing blades passes through this statistical section in the range of 1 meter at the bottom, and only 1 layer of mixing blades is included in the statistics. If 2 layers of mixing blades pass through in the range of 2 meters at the bottom, then 2 layers of mixing blades are included in the statistics. Therefore, if the value of the drill bit end elevation minus the lowest slurry discharge elevation in the construction collection data exceeds the distance between the upper and lower nozzles of the mixing head, then the number of mixing blades for effective mixing corresponding to the construction collection data, n, is greater than the distance between the upper and lower nozzles of the mixing head. 有效 =n 层 ×n 叶 Otherwise, the number of effective mixing blades n corresponding to the construction data collection is 有效 =n 层整 ×n 叶 ,

[0126] In the above step (234), first, based on the survey information of the construction area, the elevation ranges corresponding to different depth segments can be obtained, such as [0, -0.5], (-0.5, -1], (-1, -1.5]... Therefore, for each construction acquisition data, the elevation range of the drill bit end elevation in the construction acquisition data is determined, and the corresponding depth segment is obtained from the elevation range, thereby determining the depth segment corresponding to the construction acquisition data.

[0127] In the above steps (235) and (236), the effective construction collection data is included in the statistics, and the effective stirring times N of each effective construction collection data is calculated. 有效 =T t ·n t ·n 有效 , and then sum up the effective mixing times of the effective construction collection data corresponding to each depth segment to obtain the mixing and cutting times per meter after the shotcrete corresponding to the depth segment; include the invalid construction collection data into the statistics and calculate the pre-mixing times N for each invalid construction collection data 预 =T t ·n t ·n 有效 , and then sum up the pre-mixing times of the invalid construction collection data corresponding to each depth segment to obtain the mixing and cutting times per meter before spraying corresponding to each depth segment.

[0128] Most of the above indicators are only single indicators. Although they are one of the important factors affected by the soil layer, their guiding identification effect is effective. Furthermore, the construction parameters also include the swept volume ratio, which is calculated by the following formula (3):

[0129] Where B is the blade width of the mixing head, l is the blade length of the mixing head, α is the inclination angle between the blade of the mixing head and the horizontal plane, and n is 转 V is the speed of the stirring head downward. 贯 is the penetration speed of the mixing head, d is the diameter of the drill rod of the mixing head, n 层 is the number of blades of the mixing head, n 叶 The number of blades per layer of the mixing head.

[0130] The swept volume ratio indicates the ratio of the total volume swept by the mixing head of the pile mixing machine to the volume of the soil within the range for every 1 meter of penetration. The swept volume ratio is:

[0131] Where 1 is the depth of 1 meter, is the soil volume, is the swept volume of a single blade penetrating 1 meter, and after simplification, we get formula (3).

[0132] The swept volume ratio comprehensively considers the geometric parameters of the mixing head, such as the number of layers of mixing blades, the number of blades per layer, blade width, length, inclination, and drill rod diameter. It also considers process parameters such as penetration speed and drilling speed. It is an important comprehensive indicator for predicting pile quality.

[0133] In the above steps (3) and (4), for each constructed pile, the soil layer information, construction parameters, inspection age, and pile quality corresponding to each depth section of the constructed pile are saved to form a sample group, and multiple sample groups corresponding to each constructed pile are obtained. Then, a data set is constructed based on the multiple sample groups of multiple constructed piles. 80% of the data in the data set is used as a training set, and the remaining 20% ​​of the data is used as a training set. The soil layer information, construction parameters, and inspection age in each sample group in the training set and the test set are used as input, and the corresponding pile quality in each sample group is used as output. The pile quality prediction model is trained, and the hyperparameters of the pile quality prediction model are continuously corrected so that the accuracy of the pile quality prediction model reaches more than 90%, thereby obtaining a trained pile quality prediction model.

[0134] In the above steps S3 and S4, each set of input information is input into the constructed pile quality prediction model, and the pile quality prediction model outputs the pile quality corresponding to each set of input information, and determines whether the pile quality meets the design requirements. If the pile quality meets the design requirements, it means that under the conditions of the soil layer type and soil layer parameters in the input information, the construction parameters in the input information are used to carry out the mixing pile construction, and the pile quality of the mixing pile after construction at a set age can meet the design requirements. Therefore, the construction parameters in the input information whose pile quality meets the design requirements are recorded as target construction parameters, and a number of target construction parameters for each soil layer type that meet the design requirements are obtained. The target construction parameters of different soil layer types are then combined with each other. Specifically, for each soil layer type, a target construction parameter is selected from the several target construction parameters of the soil layer type in turn as a combined construction parameter. The combined construction parameters of all soil layer types are combined to obtain a construction parameter combination for mixing pile construction, and each construction parameter in the construction parameter combination corresponds to a different soil layer type. For example, there are two soil layer types, namely the first soil layer type and the second soil layer type. The first soil layer type has two target construction parameters, namely target construction parameter A and target construction parameter B. The second soil layer type also has two target construction parameters, namely target construction parameter C and target construction parameter D. Therefore, the two target construction parameters of the first soil layer type and the target construction parameter of the second soil layer type can be combined to obtain the following combinations: (target construction parameter A, target construction parameter C), (target construction parameter B, target construction parameter C), (target construction parameter A, target construction parameter D), (target construction parameter B, target construction parameter D). Combining the target construction parameters of different soil layer types can thus yield several construction parameter combinations for mixing piles that meet the design requirements, which can be selected by construction personnel. Construction personnel can select the appropriate construction parameter combination based on the site conditions. For example, if the construction schedule is tight, the construction parameter combination with the shortest construction time can be used. If the construction schedule is ample, the construction parameter combination with the least amount of shotcrete can be used. When high pile quality requirements are required, a construction parameter combination with stable strength can be used.

[0135] When the construction of a new project is completed, the historical construction information and inspection information of the constructed piles sampled in the project are included in the total data set. 80% of the historical data are randomly extracted again as the training set, and the remaining 20% ​​are used as the test set. When the accuracy of the model reaches a certain indicator (such as the accuracy reaches 90%), a new pile quality prediction model can be formed and used as the pile quality prediction model for the next project. And so on. As the number of projects increases, the pile quality prediction model will become more and more perfect.

[0136] Please refer to Figure 3, which is a module diagram of the deep cement mixing pile construction parameter optimization system of the present invention. Corresponding to the embodiment of the deep cement mixing pile construction parameter optimization method of the present invention, the present invention also provides a deep cement mixing pile construction parameter optimization system, including:

[0137] The first determination module 1 is used to determine soil layer information corresponding to different depth sections in the construction area based on the survey information of the construction area, where the soil layer information includes soil layer types and soil layer parameters corresponding to the soil layer types;

[0138] Combination module 2 is used to pre-set the age and, for each soil layer type, pre-set multiple sets of construction parameters corresponding to the soil layer type, and respectively combine each set of construction parameters with the set age soil layer type and the soil layer parameters corresponding to the soil layer type as input information to obtain multiple sets of input information for each soil layer type;

[0139] Input module 3 is used to input each set of input information into the constructed pile quality prediction model to obtain the pile quality corresponding to each set of input information, and record the construction parameters in the input information whose pile quality meets the design requirements as target construction parameters, thereby obtaining a number of target construction parameters for each soil layer type;

[0140] The second determination module 4 is used to combine target construction parameters of different soil layer types to obtain several construction parameter combinations of mixing piles, wherein each construction parameter in the construction parameter combination corresponds to a different soil layer type.

[0141] Furthermore, the input module 3 includes:

[0142] An acquisition submodule is used to obtain historical construction information and inspection information of multiple constructed piles. The historical construction information includes soil layer information in the area where the constructed piles are located and construction data collected at preset intervals during the construction of the constructed piles. The inspection information includes the inspection age of the constructed piles and the pile quality of the constructed piles at different depths under the inspection age. The construction data collected includes recording time, real-time shotcrete flow rate, real-time water spray flow rate, real-time penetration speed, real-time lifting speed, real-time rotation speed, and drill head end elevation.

[0143] A statistics submodule is used to calculate the construction parameters of each constructed pile at different depths based on the construction data collected at preset intervals during the construction of the constructed pile;

[0144] Construct submodules to build a dataset based on soil layer information, construction parameters, inspection age, and pile quality at different depths of multiple constructed piles;

[0145] The training submodule is used to divide the data set into a training set and a test set, and use the training set and the test set to train the pile quality prediction model to obtain a trained pile quality prediction model.

[0146] Furthermore, in the acquisition submodule, the construction process of the constructed piles acquired by the acquisition submodule must meet preset preconditions, which include:

[0147] The mixing head of the mixing pile machine has an upper nozzle and a lower nozzle. When the mixing head is lifted, the upper nozzle is used to spray grout or water, and when the mixing head is lowered, the lower nozzle is used to spray grout or water.

[0148] The interval between switching from spraying to water spraying or from water spraying to spraying shall not exceed the preset switching time;

[0149] Before using the pile mixing machine for construction, the delivery pipe of the pile mixing machine is filled with water;

[0150] The statistics submodule includes:

[0151] A sorting unit, used to sort the recorded construction collection data in order of recording time;

[0152] A first statistical unit is used to count the cement content and water content corresponding to each depth segment; the first statistical unit includes an obtaining subunit, a first determining subunit and a first calculating subunit;

[0153] Obtaining a subunit, for selecting one construction collection data from multiple construction collection data in sequence as target construction collection data based on the sorting order, obtaining the real-time slurry discharge flow rate and real-time water discharge flow rate corresponding to the target construction collection data according to a preset rule, thereby obtaining the real-time slurry discharge flow rate and real-time water discharge flow rate corresponding to each construction collection data;

[0154] The first determining subunit is configured to determine, for each construction collection data, a depth segment corresponding to the construction collection data according to the real-time lifting speed and the elevation of the drill bit end in the construction collection data;

[0155] The first calculation subunit is used to calculate the cement parameter corresponding to each depth segment according to formula (1), and to calculate the water yield corresponding to the depth segment according to formula (2), wherein formula (1) is as follows:

[0156] Where a c is the cement content, ∑Q 浆 is the sum of the real-time slurry discharge of the construction data collected at the corresponding depth section, ρ 水泥浆 is the cement paste density, μ is the water-cement ratio, A is the treatment area of ​​the mixing pile, and L is the length of the depth section;

[0157] Formula (2) is as follows:

[0158] Where a w is the water content, ∑Q 水 is the sum of the real-time outflow of the construction data collected at the corresponding depth segment, ρ 水 is the water density;

[0159] The second statistical unit is used to count the number of mixing and cutting soil per meter after the shotcreting and the number of mixing and cutting soil per meter before the shotcreting corresponding to each depth segment; the second statistical unit includes a second determining subunit, a marking subunit, a second calculating subunit, a third determining subunit, a third calculating subunit and a fourth calculating subunit;

[0160] The second determining subunit is used to group the construction collected data corresponding to the real-time slurry discharge flow rate greater than zero into a group, and determine the initial slurry discharge time and the lowest slurry discharge elevation based on the construction collected data in the group;

[0161] The marking subunit is used for recording each construction data collection as valid construction data if the recording time in the construction data collection is greater than the initial slurry discharge time, otherwise the construction data collection is recorded as invalid construction data collection;

[0162] The second calculation subunit is used for collecting data for each construction. If the value of the drill bit end elevation minus the lowest slurry discharge elevation in the construction collection data exceeds the distance between the upper and lower nozzles of the mixing head, then the number of effective mixing blades n corresponding to the construction collection data is 有效 =n 层 ×n 叶 Otherwise, the number of effective mixing blades corresponding to the construction data collected is Among them, H t H is the elevation of the drill bit end, 出浆min is the lowest discharge height, L 喷口 The distance between the upper and lower nozzles of the mixing head;

[0163] The third determining subunit is used to determine the depth segment corresponding to each construction collection data according to the elevation of the drill bit end in each construction collection data;

[0164] The third calculation subunit is used to include the effective construction collection data corresponding to each depth segment into statistics, and calculate the effective stirring times N of each effective construction collection data. 有效 =T t ·n t ·n 有效 Then, sum up the effective mixing times of the effective construction data collected for the depth segment to obtain the mixing and cutting times per meter after the shotcrete for the depth segment, n tis the real-time rotation speed, T t is the preset interval time;

[0165] The fourth calculation subunit is used to include the invalid construction collection data corresponding to each depth segment into statistics, and calculate the number of pre-mixing times N of each invalid construction collection data. 预 =T t ·n t ·n 有效 , and then sum up the pre-mixing times of the invalid construction collection data corresponding to the depth segment to obtain the mixing and cutting times per meter before spraying corresponding to the depth segment.

[0166] Furthermore, the subunits include:

[0167] A first judgment component is used to judge whether the real-time spraying flow rates in the target construction collection data and the construction collection data located a first preset number of times thereafter are all zero, if not, enter the first accumulation component, if so, enter the first zeroing component;

[0168] A first accumulation component is used to accumulate the real-time shotcreting flow rate of the target construction collection data into the accumulated grouting flow rate, and determine whether the accumulated grouting flow rate is less than the volume of the delivery pipeline. If so, the process proceeds to the first setting component; if not, the process proceeds to the second setting component, wherein the initial value of the accumulated grouting flow rate is zero;

[0169] A first zeroing component is used to reset the value of the accumulated grouting flow to zero;

[0170] The first setting component is used to set the real-time slurry discharge flow rate corresponding to the target construction collection data to zero, and set the real-time water discharge flow rate corresponding to the target construction collection data to the real-time shotcrete discharge flow rate of the target construction collection data;

[0171] The second setting component is used to set the real-time slurry discharge flow rate corresponding to the target construction collection data to the real-time shotcrete discharge flow rate of the target construction collection data, and to set the real-time water discharge flow rate corresponding to the target construction collection data to zero;

[0172] A second judgment component is used to judge whether the real-time water spray flow rates in the target construction collection data and the construction collection data located a first preset number of times thereafter are all zero, if not, enter the second accumulation component, if so, enter the second zeroing component;

[0173] The second accumulation component is used to accumulate the real-time spraying flow of the target construction collection data to the accumulated irrigation flow, determine whether there is a real-time spraying flow greater than zero in the construction collection data located a second preset number of times before the target construction collection data, and determine whether the accumulated irrigation flow is less than the volume of the delivery pipeline. If so, enter the third setting component; if not, enter the fourth setting component, where the initial value of the accumulated irrigation flow is zero;

[0174] The second zeroing component is used to reset the value of the accumulated irrigation flow to zero;

[0175] The third setting component is used to set the real-time slurry discharge flow corresponding to the target construction collection data to the real-time water spray flow of the target construction collection data, and set the real-time water discharge corresponding to the target construction collection data to zero;

[0176] The fourth setting component is used to set the real-time slurry discharge flow corresponding to the target construction collection data to zero, and set the real-time water discharge flow corresponding to the target construction collection data to the real-time water spray flow of the target construction collection data.

[0177] The implementation process of the functions and effects of each module, sub-module, unit, sub-unit and component in the above system is specifically described in the implementation process of the corresponding steps in the above method, which will not be repeated here.

[0178] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units.

[0179] Corresponding to the embodiment of the above-mentioned method for optimizing construction parameters of deep cement mixing piles, the present invention further provides an electronic device, which may include:

[0180] processor;

[0181] a memory for storing executable computer programs;

[0182] Wherein, when the processor executes the computer program, the deep cement mixing pile construction parameter optimization method in any of the aforementioned method embodiments is implemented.

[0183] The embodiments of the method and system for optimizing the construction parameters of deep cement mixing piles provided in the embodiments of the present invention can be applied to the electronic device. Taking software implementation as an example, as a device in a logical sense, it is formed by the processor of the electronic device in which it is located reading the corresponding computer program instructions in the non-volatile memory into the memory and running them. From the hardware level, as shown in Figure 4, in addition to the processor, memory, network interface, and non-volatile memory shown in Figure 4, the electronic device may also include other hardware, such as a camera module; or generally, according to the actual function of the electronic device, it may also include other hardware, which will not be described in detail.

[0184] Corresponding to the embodiments of the aforementioned method for optimizing the construction parameters of deep cement mixing piles, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for optimizing the construction parameters of deep cement mixing piles in any of the aforementioned method embodiments is implemented.

[0185] Embodiments of the present invention may take the form of a computer program product implemented on one or more storage media containing program code (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.). The computer-readable storage medium may include permanent or non-permanent removable or non-removable media. The information storage function of the computer-readable storage medium may be implemented using any feasible method or technology. The information may be computer-readable instructions, data structures, program models, or other data.

[0186] In addition, the computer-readable storage medium includes, but is not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or other non-transmission media that can be used to store information that can be accessed by a computing device.

[0187] Compared with the existing technology, the beneficial effects of the present invention are: by constructing a pile quality prediction model, the soil layer information of the construction area and the pre-set age and construction parameters are input into the pile quality prediction model to obtain the pile quality corresponding to the construction parameters, and then the construction parameters are selected in combination with the pile quality, so as to predict the pile quality under different soil layer types and different construction parameters through big data analysis and prediction methods, and a variety of optional construction parameters can be quickly provided for project construction, without the need for age maintenance, high time period and efficiency, and more in line with actual engineering conditions than indoor coordination tests.

[0188] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Therefore, any simple modifications, equivalent changes, and modifications to the above embodiments made in accordance with the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A method for optimizing construction parameters of deep cement mixing piles, characterized in that: The following steps are involved: Determine soil layer information corresponding to different depths in the construction area according to the survey information of the construction area, wherein the soil layer information includes soil layer types and soil layer parameters corresponding to the soil layer types; Presetting an age, and for each soil layer type, presetting multiple groups of construction parameters corresponding to the soil layer type, respectively combining each group of construction parameters with the set age, soil layer type and soil layer parameters corresponding to the soil layer type as input information, to obtain multiple groups of input information for each soil layer type; Input each group of the input information into the constructed pile quality prediction model to obtain the pile quality corresponding to each group of the input information, and record the construction parameters in the input information whose pile quality meets the design requirements as target construction parameters to obtain several target construction parameters for each soil layer type; The target construction parameters of the different soil layer types are combined with each other to obtain several construction parameter combinations of the mixing piles, wherein each construction parameter in the construction parameter combination corresponds to a different soil layer type.

2. The method for optimizing construction parameters of deep cement mixing piles according to claim 1, characterized in that: The construction parameters include cement content, water content, mixing and cutting times per meter after shotcrete spraying, and mixing and cutting times per meter before shotcrete spraying; The construction process of the pile quality prediction model is as follows: (1) obtaining historical construction information and inspection information of a plurality of constructed piles, wherein the historical construction information includes soil layer information corresponding to different depth sections in the area where the constructed piles are located and construction collection data recorded at preset intervals during the construction of the constructed piles, wherein the inspection information includes the inspection age of the constructed piles and the pile quality of the constructed piles at different depth sections under the inspection age, and the construction collection data includes recording time, real-time shotcrete flow rate, real-time water spray flow rate, real-time penetration speed, real-time lifting speed, real-time rotation speed, and drill head end elevation; (2) For each of the constructed piles, based on the construction data collected at preset intervals during the construction of the constructed pile, statistics are collected on the construction parameters of the constructed pile at different depths; (3) constructing a data set based on soil layer information corresponding to different depth sections of the plurality of constructed piles, construction parameters, test age, and pile quality; (4) Dividing the data set into a training set and a test set, and using the training set and the test set to train the pile quality prediction model to obtain the trained pile quality prediction model.

3. The method for optimizing construction parameters of deep cement mixing piles according to claim 2, characterized in that: In the step of obtaining the historical construction information and detection information of the plurality of constructed piles, the construction process of the constructed piles must meet preset preconditions, and the preconditions include: The mixing head of the mixing pile machine is provided with an upper nozzle and a lower nozzle, and the upper nozzle is used to spray grout or water when the mixing head is lifted, and the lower nozzle is used to spray grout or water when the mixing head is lowered; The interval between switching from spraying to water spraying or from water spraying to spraying shall not exceed the preset switching time; Before the pile mixing machine is used for construction, the delivery pipeline of the pile mixing machine is filled with water; The step of counting the construction parameters of each constructed pile at different depths based on the construction data collected at preset intervals during the construction of the constructed pile comprises: (21) sorting the recorded construction data in order of recording time; (22) Counting the cement content and water content corresponding to each of the depth sections; (221), based on the sorting order, sequentially selecting one construction collection data from the multiple construction collection data as the target construction collection data, and obtaining the real-time slurry discharge flow rate and the real-time water discharge flow rate corresponding to the target construction collection data according to a preset rule, thereby obtaining the real-time slurry discharge flow rate and the real-time water discharge flow rate corresponding to each construction collection data; (222) for each construction data collection, determining a depth segment corresponding to the construction data collection according to the real-time lifting speed and the elevation of the drill bit end in the construction data collection; (223) For each of the depth segments, the cement parameter corresponding to the depth segment is calculated according to formula (1), and the water yield corresponding to the depth segment is calculated according to formula (2), wherein formula (1) is as follows: In the formula, a c is the cement content, ∑Q 浆 is the sum of the real-time slurry flow rate of the construction data collected at the depth section, ρ 水泥浆 is the cement paste density, μ is the water-cement ratio, A is the treatment area of ​​the mixing pile, and L is the length of the depth section; Formula (2) is as follows: In the formula, a w is the water content, ∑Q 水 is the sum of the real-time outflow of the construction data collected at the depth section, ρ 水 is the water density; (23) counting the number of stirring and cutting per meter after the shotcrete and the number of stirring and cutting per meter before the shotcrete corresponding to each of the depth sections; (231), grouping the construction collected data corresponding to the real-time slurry discharge flow rate greater than zero into a group, and determining the initial slurry discharge time and the lowest slurry discharge elevation based on the construction collected data in the group; (232) For each construction data collection, if the recorded time in the construction data collection is greater than the maximum time of slurry discharge, If the construction collection data is the initial time, the construction collection data is recorded as valid construction collection data, otherwise the construction collection data is recorded as invalid construction collection data; (233) For each construction data collection, if the value of the drill bit end elevation minus the minimum slurry discharge elevation in the construction data exceeds the distance between the upper and lower nozzles of the mixing head, then the number of effective mixing blades n corresponding to the construction data is 有效 =n 层 ×n 叶 Otherwise, the number of effective stirring blades n corresponding to the construction collection data 有效 =n 层整 ×n 叶 , Among them, H t H is the elevation of the drill bit end, 出浆min is the lowest discharge height, L 喷口 It is the distance between the upper and lower nozzles of the mixing head; (234), determining the depth segment corresponding to each of the construction collection data according to the elevation of the drill bit end in each of the construction collection data; (235) For each of the depth segments, the effective construction collection data corresponding to the depth segment is included in the statistics, and the effective stirring times N of each effective construction collection data are calculated. 有效 =T t ·n t ·n 有效 , and then sum the effective mixing times of the effective construction collection data corresponding to the depth segment to obtain the mixing and cutting times per meter after the shotcrete corresponding to the depth segment, n t is the real-time rotation speed, T t is the preset interval time; (236) For each of the depth segments, the invalid construction collection data corresponding to the depth segment is included in the statistics, and the number of pre-mixing times N of the invalid construction collection data each time is calculated. 预 =T t ·n t ·n 有效 , and then sum up the pre-mixing times of the invalid construction collection data corresponding to the depth segment to obtain the mixing and cutting times per meter before spraying corresponding to the depth segment.

4. The method for optimizing construction parameters of deep cement mixing piles according to claim 3, characterized in that: The step of obtaining the real-time slurry discharge flow and the real-time water discharge flow corresponding to the target construction collection data according to the preset rules comprises: (2221), determining whether the real-time shotcrete flow rates in the target construction collection data and the construction collection data of the first preset number of times thereafter are both zero, if not, proceeding to step (2222), if yes, proceeding to step (2223); (2222), adding the real-time shotcrete flow rate of the target construction collection data to the cumulative grouting flow rate, and judging whether the cumulative grouting flow rate is less than the volume of the delivery pipeline, if so, proceeding to step (2224), if not, proceeding to step (2225), wherein the initial value of the cumulative grouting flow rate is zero; (2223), returning the value of the accumulated grouting flow rate to zero; (2224), setting the real-time slurry discharge flow rate corresponding to the target construction collection data to zero, and setting the real-time water discharge flow rate corresponding to the target construction collection data to the real-time shotcrete discharge flow rate of the target construction collection data; (2225), setting the real-time slurry discharge flow rate corresponding to the target construction collection data to the real-time shotcrete discharge flow rate of the target construction collection data, and setting the real-time water discharge flow rate corresponding to the target construction collection data to zero; (2226), whether the real-time water spray flow in the target construction collection data and the construction collection data of the first preset number of times behind it are both zero, if not, proceed to step (2227), if yes, proceed to step (2228); (2227), adding the real-time spraying flow of the target construction collection data to the cumulative irrigation flow, determining whether there is a real-time spraying flow greater than zero in the construction collection data located a second preset number of times before the target construction collection data, and determining whether the cumulative irrigation flow is less than the volume of the conveying pipeline, if so, proceeding to step (2229), if not, proceeding to step (22210), wherein the initial value of the cumulative irrigation flow is zero; (2228), returning the value of the accumulated irrigation flow rate to zero; (2229), setting the real-time slurry discharge flow rate corresponding to the target construction collection data to the real-time water spray flow rate of the target construction collection data, and setting the real-time water discharge volume corresponding to the target construction collection data to zero; (22210), setting the real-time slurry discharge flow rate corresponding to the target construction collection data to zero, and setting the real-time water discharge flow rate of the target construction collection data to the real-time water spray flow rate of the target construction collection data.

5. The method for optimizing construction parameters of deep cement mixing piles according to claim 2, characterized in that: The construction parameters also include a sweep volume ratio, which is calculated by the following formula: Where B is the width of the stirring blade of the stirring head, l is the length of the stirring blade of the stirring head, α is the inclination angle between the stirring blade of the stirring head and the horizontal plane, and n 转 V is the speed of the stirring head downward. 贯 is the penetration speed of the mixing head, d is the drill pipe diameter of the mixing head, n 层 is the number of layers of the mixing blades of the mixing head, n 叶 The number of stirring blades on each layer of the stirring head.

6. A deep cement mixing pile construction parameter optimization system, characterized in that: include: A first determination module is used to determine soil layer information corresponding to different depth sections in the construction area according to the survey information of the construction area, wherein the soil layer information includes soil layer types and soil layer parameters corresponding to the soil layer types; A combination module, used to pre-set an age, and for each soil layer type, pre-set multiple groups of construction parameters corresponding to the soil layer type, and respectively combine each group of construction parameters with the set age, soil layer type and soil layer parameters corresponding to the soil layer type as input information to obtain multiple groups of input information for each soil layer type; An input module is used to input each group of the input information into the constructed pile quality prediction model to obtain the pile quality corresponding to each group of the input information, and record the construction parameters in the input information whose pile quality meets the design requirements as target construction parameters to obtain a number of target construction parameters for each soil layer type; The second determination module is used to combine the target construction parameters of the different soil layer types to obtain several construction parameter combinations of the mixing piles, wherein each construction parameter in the construction parameter combination corresponds to a different soil layer type.

7. An electronic device, characterized in that: include: processor; A memory for storing executable computer programs; Wherein, when the processor executes the computer program, the steps of the method described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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