Method and system for optimizing properties of concrete based on modified carboxylate salt

Abstract

This invention relates to the field of concrete property optimization technology, and discloses a method and system for optimizing concrete properties based on modified carboxylates. The method includes: constructing a multi-tree-like associated coordinate system based on an initial factor coordinate system and a three-dimensional factor coordinate system set; preparing concrete specimens according to the factor coordinate association path; constructing a slump three-dimensional density volume, a compressive three-dimensional density volume, and a tensile three-dimensional density volume based on the tested specimen slump set, compressive strength set, and tensile strength set; selecting target slump volume, target compressive volume, and target tensile volume, finding their property intersection, and extracting target property coordinates; extracting the target preparation path of the target property coordinates in the multi-tree-like associated coordinate system; and preparing concrete according to the target preparation path. This invention can solve the problems of incomplete optimization of preparation influencing factors and low degree of concrete property optimization in current concrete preparation processes.

Description

Technical Field

[0001] This invention relates to the field of concrete property optimization technology, and in particular to a method, system, electronic device, and computer-readable storage medium for optimizing concrete properties based on modified carboxylates. Background Technology

[0002] With the rapid development of the construction industry, the requirements for the performance of concrete materials are becoming increasingly stringent. Polycarboxylate superplasticizers contain various functional groups in their molecules. These functional groups can adsorb onto the surface of hydration products in silicate cement, forming not only an adsorption layer but also disrupting the flocculation structure between silicate particles. After incorporation, the electrostatic repulsion and steric hindrance of polycarboxylate superplasticizers can significantly alter the interparticle forces and physicochemical properties of the solid-liquid interface in silicate cement, resulting in a more uniform distribution of silicate cement particles and thus improving the fluidity and other properties of the cement paste.

[0003] Based on the water-reducing mechanism of polycarboxylate superplasticizers, current research mainly focuses on designing macromolecules to modify carboxylate salts in two ways: one is to synthesize strongly polar groups to provide steric repulsion and disperse aggregated cement particles; the other is to introduce hydrophilic long side chains into the molecular chain to provide steric hindrance and maintain good fluidity of the cement paste. However, current concrete preparation involves complex processes, which generate many factors affecting concrete properties, such as high-speed mixing time, low-speed mixing time, and mixing pause time. Currently, there is no comprehensive and efficient method to uniformly analyze these influencing factors, resulting in incomplete optimization of these factors and low optimization of concrete properties in the current concrete preparation process. Summary of the Invention

[0004] This invention provides a method for optimizing concrete properties based on modified carboxylates and a computer-readable storage medium. Its main purpose is to solve the problems of incomplete optimization of influencing factors and low degree of optimization of concrete properties in the current concrete preparation process.

[0005] To achieve the above objectives, the present invention provides a method for optimizing the properties of concrete based on modified carboxylates, comprising:

[0006] The preparation influencing factor sequence is obtained, and each preparation influencing factor in the preparation influencing factor sequence is divided into factor gradients to obtain multiple sets of factor gradient sequences. The preparation influencing factor sequence includes: modified carboxylate content, low-speed stirring time, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring time, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume.

[0007] The initial coordinate dimension is calculated based on the multiple sets of factor gradient sequences using a pre-constructed initial coordinate dimension formula, wherein the initial coordinate dimension formula is as follows:

[0008] ω1 = mod(y, 3)

[0009] Where ω1 represents the initial coordinate dimension, y represents the total number of influence factors, and mod represents the modulo operator;

[0010] Based on the initial coordinate dimension, an initial factor gradient sequence set is extracted from the multiple sets of factor gradient sequences. The initial factor gradient sequence set is then removed from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequence sets.

[0011] Construct an initial factor coordinate system based on the initial factor gradient sequence set, and construct a three-dimensional factor coordinate system set based on the multiple sets of three-dimensional factor gradient sequence sets;

[0012] Construct a multi-tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set;

[0013] In the multi-tree-like associated coordinate system, the factor coordinate association path is extracted sequentially, and concrete test blocks are prepared according to the factor coordinate association path;

[0014] The slump, compressive strength, and tensile strength of the concrete test blocks were tested to obtain a set of slump values, a set of compressive strength values, and a set of tensile strength values.

[0015] Extract the terminating three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems, and extract the set of terminating three-dimensional coordinate points from the terminating three-dimensional factor coordinate system.

[0016] Based on the slump set, compressive strength set, and tensile strength set of the test blocks, density values ​​are assigned to each of the three-dimensional coordinate points in the set of three-dimensional coordinate points to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume.

[0017] Obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range, and select the target collapse body in the collapse three-dimensional density volume according to the target collapse value range;

[0018] Based on the target compressive strength value range, a target compressive body is selected from the compressive three-dimensional density body; based on the target tensile strength value range, a target tensile body is selected from the tensile three-dimensional density body.

[0019] Find the intersection of the properties of the target collapsed body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system;

[0020] Receive the target trait coordinates selected by the user in the trait intersection group, and extract the target preparation path of the target trait coordinates in the multi-tree-like correlation coordinate system;

[0021] Concrete is prepared according to the target preparation path, and the properties of concrete based on modified carboxylates are optimized.

[0022] Optionally, obtaining the influence factor sequence includes:

[0023] Receive the set of prepared impact factors, and extract the prepared impact factors sequentially from the set of prepared impact factors;

[0024] Obtain the factor value range and factor value gradient for the preparation of the influence factors, and calculate the number of factor values ​​based on the factor value range and factor value gradient using the following formula:

[0025]

[0026] Where, γ i μ represents the number of factor values ​​for the i-th influencing factor. i τ represents the range of values ​​for the i-th influencing factor. i This represents the gradient of the i-th influencing factor, and [] represents the rounding symbol;

[0027] The preparation influence factors are sorted from smallest to largest according to the number of factor values ​​to obtain the preparation influence factor sequence.

[0028] Optionally, the step of performing factor gradient partitioning on each prepared impact factor in the prepared impact factor sequence to obtain multiple sets of factor gradient sequences includes:

[0029] Identify the factor value range and factor value gradient of the prepared influencing factors;

[0030] Based on the factor value gradient, an impact factor numerical sequence is selected within the factor value range, and the impact factor numerical sequence is used as the factor gradient sequence for preparing the impact factor.

[0031] By summing up all the factor gradient sequences that prepared the influencing factors, multiple sets of factor gradient sequences were obtained.

[0032] Optionally, constructing the initial factor coordinate system based on the initial factor gradient sequence set includes:

[0033] An original factor coordinate system is constructed based on the initial coordinate dimension, wherein the number of coordinate axes of the original factor coordinate system is equal to the initial coordinate dimension;

[0034] The initial factor gradient sequence is extracted sequentially from the initial factor gradient sequence set, and the original factor coordinate axis is extracted sequentially from the original factor coordinate system.

[0035] The initial factor coordinate system is obtained by using the gradient sequence of the initial factor to label the coordinate axes of the original factor.

[0036] Optionally, the step of constructing a multiple tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set includes:

[0037] Extract the set of starting factor coordinate points in the starting factor coordinate system based on the set of starting factor gradient sequences;

[0038] The initial factor coordinate points are extracted sequentially from the initial factor coordinate point set, and the second three-dimensional factor coordinate system is extracted from the three-dimensional factor coordinate system set.

[0039] By using the initial factor coordinate points, the initial factor coordinate system and the second three-dimensional factor coordinate system are linked to obtain a double tree-like associated coordinate system. The double tree-like associated coordinate system includes one initial factor coordinate system, k1 initial factor coordinate points, k1 second three-dimensional factor coordinate system, and k1×k2 second factor coordinate points.

[0040] The second three-dimensional factor coordinate system is extracted sequentially from the dual-tree-like associated coordinate system;

[0041] Extract the second factor coordinate points sequentially in the second three-dimensional factor coordinate system, and extract the third three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems;

[0042] The second factor coordinate points are used to link the dual-tree-like associated coordinate system with the third three-dimensional factor coordinate system to obtain a triple-tree-like associated coordinate system. The triple-tree-like associated coordinate system includes one initial factor coordinate system, k1 initial factor coordinate points, k1 second three-dimensional factor coordinate system, k1×k2 second factor coordinate points, k1×k2 third three-dimensional factor coordinate system, and k1×k2×k3 third factor coordinate points.

[0043] Based on the aforementioned triple tree-structured coordinate system and three-dimensional factor coordinate system set, obtain the i-th tree-structured coordinate system, where i > 3;

[0044] Identify the number of three-dimensional factor coordinate system sets in the three-dimensional factor coordinate system set;

[0045] Determine whether i-1 is equal to the number of the three-dimensional factor coordinate system groups, where the number of the three-dimensional factor coordinate system groups is n;

[0046] If i-1 is not equal to the number of the three-dimensional factor coordinate system sets, then use i+1 to update i, and return to the above steps of obtaining the i-th tree-related coordinate system based on the triple tree-related coordinate system and the three-dimensional factor coordinate system set;

[0047] If iv1 is equal to the number of the three-dimensional factor coordinate system groups, then a multi-tree-like associated coordinate system is obtained.

[0048] Optionally, the step of sequentially extracting factor coordinate association paths in the multi-tree-structured associative coordinate system includes:

[0049] The starting factor coordinate points are extracted sequentially in the multi-tree-like associated coordinate system, and the second factor coordinate point set is extracted in the second three-dimensional factor coordinate system.

[0050] In the multi-tree-like associated coordinate system, the starting factor coordinate point is associated with each second factor coordinate point in the second factor coordinate point set to obtain a first coordinate association path set;

[0051] Extract the first coordinate association path sequentially from the first coordinate association path set, and extract the third factor coordinate point set from the third three-dimensional factor coordinate system;

[0052] In the multi-tree-like associated coordinate system, the first coordinate association path is associated with each third factor coordinate point in the third factor coordinate point set to obtain the second coordinate association path set;

[0053] The (j-1)th coordinate association path set is obtained based on the second coordinate association path set and the jth three-dimensional factor coordinate system, where j>3;

[0054] Determine if j-1 is equal to n;

[0055] If j-1 is not equal to n, then update j using j+1 and return to the steps described above for obtaining the (j-1)th coordinate associated path set based on the second coordinate associated path set and the jth three-dimensional factor coordinate system.

[0056] If j-1 equals n, then the set of paths associated with the nth coordinate is obtained;

[0057] Extract factor coordinate association paths sequentially from the set of nth coordinate association paths.

[0058] Optionally, the step of assigning density values ​​to each of the termination three-dimensional coordinate points in the termination three-dimensional coordinate point set according to the slump set, compressive strength set, and tensile strength set of the test blocks to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume includes:

[0059] Extract the slump values ​​of the test blocks sequentially from the slump value set, identify the slump coordinate association path corresponding to the slump value of the test blocks, and extract the slump termination coordinate point from the slump coordinate association path;

[0060] The collapse density of the test block is used as the collapse density at the collapse termination coordinate point to obtain the three-dimensional collapse density volume.

[0061] The compressive strength of the test blocks is extracted sequentially from the set of compressive strength of the test blocks, the compressive coordinate association path corresponding to the compressive strength of the test blocks is identified, and the compressive termination coordinate point is extracted from the compressive coordinate association path;

[0062] Using the compressive strength of the test block as the compressive density at the compressive termination coordinate point, a three-dimensional compressive density volume is obtained;

[0063] The tensile strength of the test blocks is extracted sequentially from the tensile strength set of the test blocks, the tensile coordinate association path corresponding to the tensile strength of the test blocks is identified, and the tensile termination coordinate point is extracted from the tensile coordinate association path;

[0064] Using the tensile strength of the test block as the tensile density at the tensile termination coordinate point, a three-dimensional tensile density volume is obtained.

[0065] Optionally, selecting the target collapse body in the three-dimensional density volume of the collapse based on the target collapse value range includes:

[0066] The collapse termination coordinates are extracted sequentially from the collapse three-dimensional density volume, and it is determined whether the collapse intensity of the collapse termination coordinates belongs to the target collapse value range.

[0067] If the collapse intensity at the collapse termination coordinate point belongs to the target collapse value range, then the collapse termination coordinate point is taken as the target collapse coordinate point.

[0068] All target collapse coordinate points are aggregated to obtain a target collapse coordinate point set. The coordinate three-dimensional region of the target collapse coordinate point set in the collapse three-dimensional density volume is identified, and the coordinate three-dimensional region is taken as the target collapse body.

[0069] Optionally, obtaining the intersection of the properties of the target collapsed body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system includes:

[0070] In the multi-tree-like associated coordinate system, the termination morphology intersection coordinate system is extracted sequentially, wherein the termination morphology intersection coordinate system is a termination three-dimensional factor coordinate system in which there are target collapse bodies, target compressive bodies and target tensile bodies;

[0071] Extract the intersection of coordinate points of the target collapsed body, the target compressive body, and the target tensile body in the termination property intersection coordinate system;

[0072] Identify the three-dimensional coordinate region of the intersection of the coordinate points, and use the three-dimensional coordinate region as the intersection of the traits.

[0073] To achieve the above objectives, the present invention also provides a concrete property optimization system based on modified carboxylates, comprising:

[0074] A multi-tree-structured coordinate system construction module is used to obtain the preparation influencing factor sequence. For each preparation influencing factor in the sequence, factor gradient partitioning is performed to obtain multiple sets of factor gradient sequences. These preparation influencing factor sequences include: modified carboxylate content, low-speed stirring duration, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring duration, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume. Using a pre-constructed initial coordinate dimension formula, the initial coordinate dimension is calculated based on the multiple sets of factor gradient sequences. The initial coordinate dimension formula is shown below:

[0075] ω1 = mod(y, 3)

[0076] Where ω1 represents the initial coordinate dimension, y represents the total number of influencing factors, and mod represents the modulo operator; based on the initial coordinate dimension, an initial factor gradient sequence set is extracted from the multiple sets of factor gradient sequences; the initial factor gradient sequence set is then removed from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequences; an initial factor coordinate system is constructed based on the initial factor gradient sequence set; a three-dimensional factor coordinate system set is constructed based on the multiple sets of three-dimensional factor gradient sequence sets; and a multi-tree-like associated coordinate system is constructed based on the initial factor coordinate system and the three-dimensional factor coordinate system set.

[0077] The property density assignment module is used to sequentially extract factor coordinate association paths in the multi-tree-like associated coordinate system, prepare concrete test blocks according to the factor coordinate association paths, test the slump, compressive strength, and tensile strength of the concrete test blocks to obtain a slump set, a compressive strength set, and a tensile strength set; extract a terminating three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extract a terminating three-dimensional coordinate point set from the terminating three-dimensional factor coordinate system; assign density values ​​to each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set according to the slump set, compressive strength set, and tensile strength set to obtain a slump three-dimensional density volume, a compressive three-dimensional density volume, and a tensile three-dimensional density volume.

[0078] The morphological intersection calculation module is used to obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range; select the target collapse body in the collapse three-dimensional density volume according to the target collapse value range; select the target compressive strength body in the compressive strength three-dimensional density volume according to the target compressive strength value range; select the target tensile strength body in the tensile strength three-dimensional density volume according to the target tensile strength value range; and calculate the morphological intersection of the target collapse body, the target compressive strength body, and the target tensile strength body in the terminating three-dimensional factor coordinate system.

[0079] The concrete preparation module is used to receive the target morphological coordinates selected by the user in the morphological intersection, extract the target preparation path of the target morphological coordinates in the multi-tree-related coordinate system, and prepare concrete according to the target preparation path.

[0080] To address the above problems, the present invention also provides an electronic device, the electronic device comprising:

[0081] Memory, storing at least one instruction; and

[0082] The processor executes the instructions stored in the memory to implement the above-described method for optimizing concrete properties based on modified carboxylates.

[0083] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described method for optimizing concrete properties based on modified carboxylates.

[0084] To address the problems described in the background art, this invention first constructs a multi-tree-structured coordinate system that comprehensively and intuitively reflects various influencing factors in the preparation process. After constructing the multi-tree-structured coordinate system, factor coordinate association paths are extracted from it. Concrete specimens are then prepared based on these paths, and their properties are tested. This yields a slump set, compressive strength set, and tensile strength set for each factor coordinate association path. Density values ​​are then assigned to each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set based on these sets, resulting in slump density, compressive strength, and tensile strength volumes. The target slump, compressive strength, and tensile strength can be identified using slump three-dimensional density volumes, compressive strength three-dimensional density volumes, and tensile strength three-dimensional density volumes. Since the morphological requirements for concrete specimens involve various dimensions, such as slump, compressive strength, and tensile strength, it is necessary to finally obtain the morphological intersection of the target slump, compressive strength, and tensile strength in the terminating three-dimensional factor coordinate system. Then, the target morphological coordinates selected by the user in the morphological intersection are received, and the target preparation path of the target morphological coordinates is extracted in the multi-tree-structured coordinate system. Finally, concrete preparation is performed according to the target preparation path. Specifically, when constructing the multi-tree-structured coordinate system, it is first necessary to obtain the preparation influencing factor sequence. The process involves dividing each influence factor in the prepared influence factor sequence into multiple sets of factor gradient sequences. Since the initial coordinate dimension is related to the total number of influence factors, a pre-constructed formula for the initial coordinate dimension is used to calculate the initial coordinate dimension based on these multiple sets of factor gradient sequences. Then, an initial factor gradient sequence set is extracted from these multiple sets of factor gradient sequences based on the initial coordinate dimension. Because a three-dimensional factor coordinate system also needs to be constructed, the initial factor gradient sequence set is removed from the multiple sets of factor gradient sequences, resulting in multiple sets of three-dimensional factor gradient sequences. At this point, an initial factor coordinate system can be constructed based on the initial factor gradient sequence set, and a three-dimensional factor coordinate system set can be constructed based on the multiple sets of three-dimensional factor gradient sequence sets. Finally, a multi-tree-like associated coordinate system is constructed based on the initial factor coordinate system and the set of three-dimensional factor coordinate systems. After obtaining the multi-tree-like associated coordinate system, density values ​​need to be assigned to the terminating three-dimensional coordinate points in the terminating three-dimensional factor coordinate system to obtain the collapse three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume. When assigning density values, since each terminating three-dimensional coordinate point in the terminating three-dimensional factor coordinate system uniquely corresponds to a factor coordinate association path, density values ​​can be assigned to each terminating three-dimensional coordinate point in the set of terminating three-dimensional coordinate points based on the test block collapse set, the test block compressive strength set, and the test block tensile strength set to obtain the collapse three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume.By using slump, compressive, and tensile density volumes, the slump, compressive strength, and tensile strength of concrete specimens prepared along each factor coordinate association path can be obtained. Then, based on the target slump, compressive, and tensile value ranges, target slump, compressive, and tensile properties can be selected from these three-dimensional density volumes respectively, and the morphological intersection can be calculated. Finally, the target morphological coordinates input by the user can be directly received using the morphological intersection, and concrete preparation can be performed according to the corresponding target preparation path. Therefore, this invention can solve the problems of incomplete optimization of preparation influencing factors and low optimization degree of concrete properties in the current concrete preparation process. Attached Figure Description

[0085] Figure 1 This is a schematic flowchart of a method for optimizing concrete properties based on modified carboxylates, provided in an embodiment of the present invention.

[0086] Figure 2 A functional block diagram of a concrete property optimization system based on modified carboxylates provided in an embodiment of the present invention;

[0087] Figure 3 This is a schematic diagram of an electronic device for implementing the modified carboxylate-based concrete property optimization method according to an embodiment of the present invention.

[0088] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0089] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0090] This application provides a method for optimizing concrete properties based on modified carboxylates. The executing entity of this method includes, but is not limited to, at least one electronic device configured to execute the method provided in this application, such as a server or a terminal. In other words, the method for optimizing concrete properties based on modified carboxylates can be executed by software or hardware installed on a terminal device or a server device, and the software may be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0091] Reference Figure 1 The diagram shown is a flowchart illustrating a method for optimizing concrete properties based on modified carboxylates according to an embodiment of the present invention. In this embodiment, the method for optimizing concrete properties based on modified carboxylates includes:

[0092] S1. Obtain the preparation impact factor sequence, and perform factor gradient division on each preparation impact factor in the preparation impact factor sequence to obtain multiple sets of factor gradient sequences.

[0093] Understandably, the preparation influencing factor sequence refers to the sequence of preparation influencing factors, which can include: modified carboxylate dosage, low-speed stirring duration, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring duration, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume. The preparation influencing factors are not limited to the above ranges and may also include mixing water addition frequency, preparation humidity, setting temperature, type of modified water-reducing agent, length of hydrophilic long side chains introduced in the modified water-reducing agent, etc. The factor gradient division refers to dividing the value range of the preparation influencing factors, and arranging the factor values ​​at the division points in sequence to obtain the factor gradient sequence. The low-speed stirring duration refers to the duration of low-speed stirring of the cement paste, and the stirring stop time refers to the interval between low-speed stirring and high-speed stirring. For example, a certain amount of cement, water-reducing agent, and water are added to a cement paste mixer, first stirred at low speed for 3 minutes, stopped for 20 seconds, and then stirred at high speed for 2 minutes to obtain a well-mixed cement paste. The purity of the mixing water refers to the purity of the water used for mixing concrete, and the amount of mixing water refers to the mass of mixing water added.

[0094] Furthermore, the modified carboxylate dosage refers to the ratio of the added mass of the modified carboxylate water-reducing agent to the mass of the cement paste. The modified carboxylate water-reducing agent refers to a modified polycarboxylate high-efficiency water-reducing agent. There are generally two methods for modifying the polycarboxylate high-efficiency water-reducing agent. One method is to synthesize strong polar groups, such as carboxyl groups, hydroxyl groups, sulfonic acid groups, etc., which provide electrostatic repulsion to disperse agglomerated cement particles. The other method is to introduce hydrophilic long side chains, such as polyoxyethyl ether, etc., into the molecular chain to provide steric hindrance effect, thereby allowing the cement paste to maintain good fluidity for a longer period of time.

[0095] In this embodiment of the invention, obtaining the preparation of the influence factor sequence includes:

[0096] Receive the set of prepared impact factors, and extract the prepared impact factors sequentially from the set of prepared impact factors;

[0097] Obtain the factor value range and factor value gradient for the preparation of the influence factors, and calculate the number of factor values ​​based on the factor value range and factor value gradient using the following formula:

[0098]

[0099] Where, γ i μ represents the number of factor values ​​for the i-th influencing factor. iτ represents the range of values ​​for the i-th influencing factor. i This represents the gradient of the i-th influencing factor, and [] represents the rounding symbol;

[0100] The preparation influence factors are sorted from smallest to largest according to the number of factor values ​​to obtain the preparation influence factor sequence.

[0101] Understandably, the "preparation influencing factor set" refers to the collection of preparation influencing factors, and the "factor value range" refers to the range of values ​​for the preparation influencing factors. For example, when the preparation influencing factor is the dosage of modified water-reducing agent, the factor value range can be 0.5%-2.0%. The "factor value gradient" refers to the interval between the values ​​of the preparation influencing factors. For example, when the factor value gradient is 0.2%, the influencing factor values ​​can be 0.5%, 0.7%, 0.9%, 1.1%, ..., 1.9%. When the number of factor values ​​for the modified water-reducing agent dosage is 8, the number of factor values ​​for low-speed stirring duration is 10, the number of factor values ​​for low-speed stirring speed is 12, the number of factor values ​​for low-speed stirring temperature is 11, the number of factor values ​​for stirring stop time is 7, the number of factor values ​​for high-speed stirring duration is 6, the number of factor values ​​for high-speed stirring speed is 15, the number of factor values ​​for high-speed stirring temperature is 20, the number of factor values ​​for mixing water purity is 16, the number of factor values ​​for cement strength is 10, and the number of factor values ​​for mixing water volume is 19, the preparation influencing factor sequence is high-speed stirring duration, stirring stop time, modified water-reducing agent dosage, low-speed stirring duration, cement strength, low-speed stirring temperature, low-speed stirring speed, high-speed stirring speed, mixing water purity, mixing water volume, and high-speed stirring temperature.

[0102] In this embodiment of the invention, the step of performing factor gradient partitioning on each prepared impact factor in the prepared impact factor sequence to obtain multiple sets of factor gradient sequences includes:

[0103] Identify the factor value range and factor value gradient of the prepared influencing factors;

[0104] Based on the factor value gradient, an impact factor numerical sequence is selected within the factor value range, and the impact factor numerical sequence is used as the factor gradient sequence for preparing the impact factor.

[0105] By summing up all the factor gradient sequences that prepared the influencing factors, multiple sets of factor gradient sequences were obtained.

[0106] S2. Using the pre-constructed initial coordinate dimension formula, calculate the initial coordinate dimension based on the multiple sets of factor gradient sequences.

[0107] Explained, the initial coordinate dimension refers to the number of coordinate axes in the initial factor coordinate system. The initial factor coordinate system refers to the first coordinate system constructed based on the multiple sets of factor gradient sequences.

[0108] In detail, the formula for the initial coordinate dimension is as follows:

[0109] ω1 = mod(y, 3)

[0110] Where ω1 represents the initial coordinate dimension, y represents the total number of influence factors, and mod represents the modulo operator.

[0111] Furthermore, when the total number of influence factors is 11, the starting coordinate dimension is 2.

[0112] S3. Extract the initial factor gradient sequence set from the multiple sets of factor gradient sequences according to the initial coordinate dimension, and remove the initial factor gradient sequence set from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequence sets.

[0113] Explained, the starting factor gradient sequence set refers to the set of factor gradient sequences corresponding to each coordinate axis of the starting factor coordinate system for constructing influencing factors. For example, when the sequence of influencing factors is high-speed stirring time, stirring stop time, modified water-reducing agent dosage, low-speed stirring time, cement strength, low-speed stirring temperature, low-speed stirring speed, high-speed stirring speed, mixing water purity, mixing water volume, and high-speed stirring temperature, the starting factor gradient sequence set can be high-speed stirring time: 1 min, 1.5 min, 2 min, 2.5 min, 3 min, 3.5 min; stirring stop time: 2.5 min, 3.5 min, 4.5 min, 5.5 min, 6.5 min, 7.5 min, 8.5 min. In this case, the starting factor coordinate system has two coordinate axes, one for high-speed stirring time and the other for stirring stop time. The multiple sets of three-dimensional factor gradient sequence sets refer to the multiple sets of factor gradient sequences used to construct the three coordinate axes after removing the starting factor gradient sequence set. The multiple sets of three-dimensional factor gradient sequences can be: modified water-reducing agent dosage, low-speed mixing time, cement strength; low-speed mixing temperature, low-speed mixing speed, high-speed mixing speed; mixing water purity, mixing water volume, and high-speed mixing temperature. Among them, the three factor gradient sequences corresponding to modified water-reducing agent dosage, low-speed mixing time, and cement strength constitute one set of three-dimensional factor gradient sequences; the three factor gradient sequences corresponding to low-speed mixing temperature, low-speed mixing speed, and high-speed mixing speed constitute one set of three-dimensional factor gradient sequences; and the three factor gradient sequences corresponding to mixing water purity, mixing water volume, and high-speed mixing temperature constitute one set of three-dimensional factor gradient sequences.

[0114] S4. Construct an initial factor coordinate system based on the initial factor gradient sequence set, and construct a three-dimensional factor coordinate system set based on the multiple sets of three-dimensional factor gradient sequence sets.

[0115] Understandably, the three-dimensional factor coordinate system refers to a coordinate system composed of three coordinate axes representing the influencing factors of preparation. When the sequence of influencing factors of preparation is high-speed stirring time, stirring stop time, modified water-reducing agent dosage, low-speed stirring time, cement strength, low-speed stirring temperature, low-speed stirring speed, high-speed stirring speed, mixing water purity, mixing water volume, and high-speed stirring temperature, the initial factor coordinate system can be constructed from the high-speed stirring time and stirring stop time, the second three-dimensional factor coordinate system can be constructed from the modified water-reducing agent dosage, low-speed stirring time, and cement strength, the third three-dimensional factor coordinate system can be constructed from the low-speed stirring temperature, low-speed stirring speed, and high-speed stirring speed, and the fourth three-dimensional factor coordinate system can be constructed from the mixing water purity, mixing water volume, and high-speed stirring temperature.

[0116] In this embodiment of the invention, constructing the initial factor coordinate system based on the initial factor gradient sequence set includes:

[0117] An original factor coordinate system is constructed based on the initial coordinate dimension, wherein the number of coordinate axes of the original factor coordinate system is equal to the initial coordinate dimension;

[0118] The initial factor gradient sequence is extracted sequentially from the initial factor gradient sequence set, and the original factor coordinate axis is extracted sequentially from the original factor coordinate system.

[0119] The initial factor coordinate system is obtained by using the gradient sequence of the initial factor to label the coordinate axes of the original factor.

[0120] Understandably, the original factor coordinate system refers to a coordinate system without coordinate axis numerical labels. When the initial coordinate dimension is 2, the original factor coordinate system has two coordinate axes: a high-speed stirring duration coordinate axis and a stirring stop duration coordinate axis. After coordinate labeling, the first coordinate axis of the initial factor coordinate system can be the high-speed stirring duration axis, with coordinate labeling points of 1 min, 1.5 min, 2 min, 2.5 min, 3 min, and 3.5 min; the second coordinate axis can be the stirring stop duration, with coordinate labeling points of 2.5 min, 3.5 min, 4.5 min, 5.5 min, 6.5 min, 7.5 min, and 8.5 min.

[0121] S5. Construct a multi-tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set.

[0122] Explained, the multiple tree-like associated coordinate system refers to the tree-like multiple coordinate system obtained after connecting the initial factor coordinate system and the three-dimensional factor coordinate system set with a point system, as detailed below.

[0123] In this embodiment of the invention, the step of constructing a multiple tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set includes:

[0124] Extract the set of starting factor coordinate points in the starting factor coordinate system based on the set of starting factor gradient sequences;

[0125] The initial factor coordinate points are extracted sequentially from the initial factor coordinate point set, and the second three-dimensional factor coordinate system is extracted from the three-dimensional factor coordinate system set.

[0126] By using the initial factor coordinate points, the initial factor coordinate system and the second three-dimensional factor coordinate system are linked to obtain a double tree-like associated coordinate system. The double tree-like associated coordinate system includes one initial factor coordinate system, k1 initial factor coordinate points, k1 second three-dimensional factor coordinate system, and k1×k2 second factor coordinate points.

[0127] The second three-dimensional factor coordinate system is extracted sequentially from the dual-tree-like associated coordinate system;

[0128] Extract the second factor coordinate points sequentially in the second three-dimensional factor coordinate system, and extract the third three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems;

[0129] The second factor coordinate points are used to link the dual-tree-like associated coordinate system with the third three-dimensional factor coordinate system to obtain a triple-tree-like associated coordinate system. The triple-tree-like associated coordinate system includes one initial factor coordinate system, k1 initial factor coordinate points, k1 second three-dimensional factor coordinate system, k1×k2 second factor coordinate points, k1×k2 third three-dimensional factor coordinate system, and k1×k2×k3 third factor coordinate points.

[0130] Based on the aforementioned triple tree-structured coordinate system and three-dimensional factor coordinate system set, obtain the i-th tree-structured coordinate system, where i > 3;

[0131] Identify the number of three-dimensional factor coordinate system sets in the three-dimensional factor coordinate system set;

[0132] Determine whether i-1 is equal to the number of the three-dimensional factor coordinate system groups, where the number of the three-dimensional factor coordinate system groups is n;

[0133] If i-1 is not equal to the number of the three-dimensional factor coordinate system sets, then use i+1 to update i, and return to the above steps of obtaining the i-th tree-related coordinate system based on the triple tree-related coordinate system and the three-dimensional factor coordinate system set;

[0134] If i-1 is equal to the number of the three-dimensional factor coordinate system groups, then a multi-tree-like associated coordinate system is obtained.

[0135] Understandably, the set of starting factor coordinate points refers to the set of coordinate points extracted from the starting factor coordinate system. For example, when the set of starting factor coordinate points represents high-speed stirring durations of 1 min, 1.5 min, 2 min, 2.5 min, 3 min, and 3.5 min, and stirring stop durations of 2.5 min, 3.5 min, 4.5 min, 5.5 min, 6.5 min, 7.5 min, and 8.5 min, and the x-axis of the starting factor coordinate system is the high-speed stirring duration axis and the y-axis is the stirring stop duration axis, the starting factor coordinate points can be (1, 2.5), (1, 3.5), (1, 4.5), (1, 5.5), (1, 6.5), etc. The second three-dimensional factor coordinate system refers to the second three-dimensional factor coordinate system in the set of three-dimensional factor coordinate systems. The point system connection refers to the process of associating and connecting the coordinate points of the starting factor coordinate system and the previous coordinate system with the next coordinate system in the set of three-dimensional factor coordinate systems. The dual-tree-like associated coordinate system refers to the tree-like coordinate system obtained by connecting the initial factor coordinate system and the second three-dimensional factor coordinate system with a point system. For example, when the initial factor coordinate points are (1, 2.5), (1, 3.5), (1, 4.5), (1, 5.5), (1, 6.5), etc., the coordinate point (1, 2.5) can be connected to the second three-dimensional factor coordinate system with a point system, (1, 3.5) can be connected to the second three-dimensional factor coordinate system with a point system, and (1, 4.5) can also be connected to the second three-dimensional factor coordinate system with a point system. All initial factor coordinate points in the set of initial factor coordinate points need to be connected to the second three-dimensional factor coordinate system with a point system. Similarly, after connecting the points of the initial factor coordinate system and the second three-dimensional factor coordinate system, the double tree-like associated coordinate system is obtained. This double tree-like associated coordinate system should contain one initial factor coordinate system and k1 initial factor coordinate points. When the set of initial factor coordinate points represents high-speed mixing time: 1 min, 1.5 min, 2 min, 2.5 min, 3 min, 3.5 min; mixing stop time: 2.5 min, 3.5 min, 4.5 min, 5.5 min, 6.5 min, 7.5 min, 8.5 min, k1 equals 42. These 42 initial factor coordinate points will then be connected to 42 second three-dimensional factor coordinate systems, thus containing 42 second three-dimensional factor coordinate systems. When the second three-dimensional factor coordinate system (which can be the modified water-reducing agent dosage, low-speed mixing time, or cement strength construction) has k2 second factor coordinate points, the double tree-like associated coordinate system will contain k1 × k2 second factor coordinate points, thus obtaining the double tree-like associated coordinate system.

[0136] Explained, the third three-dimensional factor coordinate system refers to the third three-dimensional factor coordinate system in the set of three-dimensional factor coordinate systems. The connection method between the third three-dimensional factor coordinate system and the double-tree-structured coordinate system is similar to the connection method between the second three-dimensional factor coordinate system and the initial factor coordinate system. That is, firstly, second factor coordinate points are extracted sequentially from the double-tree-structured coordinate system (firstly, the second three-dimensional factor coordinate system is extracted sequentially from the double-tree-structured coordinate system, then the second factor coordinate points are extracted sequentially from the second three-dimensional factor coordinate system, up to k1×k2 points). Then, the second factor coordinate points are connected to the third three-dimensional factor coordinate system (one-to-one connection) to obtain the triple-tree-structured coordinate system. The triple-tree-structured coordinate system contains the double-tree-structured coordinate system, k1×k2 third three-dimensional factor coordinate systems, and k1×k2×k3 third factor coordinate points.

[0137] Furthermore, the method for obtaining the i-th tree-like associated coordinate system is the same as that for obtaining the double and triple tree-like associated coordinate systems, and will not be repeated here. When i equals the number of three-dimensional factor coordinate system groups, a multi-tree-like associated coordinate system is obtained. When the sequence of influencing factors is high-speed stirring time, stirring stop time, modified water-reducing agent dosage, low-speed stirring time, cement strength, low-speed stirring temperature, low-speed stirring speed, high-speed stirring speed, mixing water purity, mixing water volume, and high-speed stirring temperature, the number of three-dimensional factor coordinate system groups n is 3. When i equals 4, it indicates that a quadruple tree-like associated coordinate system is obtained, and at this time, the multi-tree-like associated coordinate system is obtained.

[0138] S6. Extract the factor coordinate association paths sequentially in the multi-tree-like associated coordinate system, and prepare concrete test blocks according to the factor coordinate association paths.

[0139] Understandably, the factor coordinate association path refers to the coordinate path obtained by connecting the initial factor coordinate system and the initial factor coordinate point, second factor coordinate point, and nth factor coordinate point (belonging to the nth three-dimensional factor coordinate system) of each three-dimensional factor coordinate system set in the multi-tree-structured association coordinate system. The concrete test block refers to the concrete block used for testing.

[0140] In this embodiment of the invention, the step of sequentially extracting factor coordinate association paths in the multi-tree-like associated coordinate system includes:

[0141] The starting factor coordinate points are extracted sequentially in the multi-tree-like associated coordinate system, and the second factor coordinate point set is extracted in the second three-dimensional factor coordinate system.

[0142] In the multi-tree-like associated coordinate system, the starting factor coordinate point is associated with each second factor coordinate point in the second factor coordinate point set to obtain a first coordinate association path set;

[0143] Extract the first coordinate association path sequentially from the first coordinate association path set, and extract the third factor coordinate point set from the third three-dimensional factor coordinate system;

[0144] In the multi-tree-like associated coordinate system, the first coordinate association path is associated with each third factor coordinate point in the third factor coordinate point set to obtain the second coordinate association path set;

[0145] The (j-1)th coordinate associated path set is obtained based on the second coordinate associated path set and the jth three-dimensional factor coordinate system, where j > 3;

[0146] Determine if j-1 is equal to n;

[0147] If j-1 is not equal to n, then update j using j+1 and return to the steps described above for obtaining the (j-1)th coordinate associated path set based on the second coordinate associated path set and the jth three-dimensional factor coordinate system.

[0148] If j-1 equals n, then the set of paths associated with the nth coordinate is obtained;

[0149] Extract factor coordinate association paths sequentially from the set of nth coordinate association paths.

[0150] Understandably, the path association refers to connecting the starting factor coordinate point in the first coordinate system (starting factor coordinate system or three-dimensional factor coordinate system) of the multi-tree-structured coordinate system with the coordinate point in the next coordinate system (three-dimensional factor coordinate system). The first coordinate association path set refers to the set of association paths (k1×k2) obtained by connecting the starting factor coordinate point with each second factor coordinate point in the corresponding second three-dimensional factor coordinate system of the multi-tree-structured coordinate system. The second coordinate association path set refers to the set of association paths obtained by associating the first coordinate association path with each third factor coordinate point in the third factor coordinate point set.

[0151] For example, when the set of initial factor coordinate points is the high-speed stirring duration: 1 min, 1.5 min, 2 min, 2.5 min, 3 min, 3.5 min; and the stirring stop duration: 2.5 min, 3.5 min, 4.5 min, 5.5 min, 6.5 min, 7.5 min, 8.5 min, there are 42 initial factor coordinate points in the initial factor coordinate system. When there are 56 second factor coordinate points in the second three-dimensional factor coordinate system, 78 third factor coordinate points in the third three-dimensional factor coordinate system, and 102 fourth factor coordinate points in the fourth three-dimensional factor coordinate system, in the multitree... When constructing factor coordinate association paths in the multi-tree-like coordinate system, the initial factor coordinate points are first extracted sequentially from the 42 initial factor coordinate points. Since the multi-tree-like coordinate system contains 42 second three-dimensional factor coordinate systems corresponding to these 42 initial factor coordinate points, and there is a one-to-one correspondence between the initial factor coordinate points and the second three-dimensional factor coordinate systems, the second factor coordinate points can then be extracted sequentially from the second three-dimensional factor coordinate systems corresponding to the initial factor coordinate points, thus obtaining 56 first coordinate association paths corresponding to the initial factor coordinate points. Because there are 42 initial factor coordinate points, there are 42 × 56 first coordinate association paths. When j-1 equals n, it indicates that the construction of the nth coordinate association path set has been completed, and only the coordinate association paths need to be extracted sequentially. The method for obtaining the (j-1)th coordinate association path set is similar to the method for obtaining the first and second coordinate association path sets, and will not be repeated here.

[0152] For example, when the number of three-dimensional factor coordinate system groups n is 3, when j equals 4 (the j-th three-dimensional factor coordinate system is constructed from the purity of mixing water, the strength of cement, and the amount of mixing water), it indicates that the construction of the fourth coordinate association path set has been completed, and factor coordinate association paths can be extracted sequentially from the fourth coordinate association path set.

[0153] S7. Test the slump, compressive strength and tensile strength of the concrete test blocks to obtain the slump set, compressive strength set and tensile strength set of the test blocks.

[0154] Understandably, the slump of the test block refers to the slump of the concrete test block, the compressive strength of the test block refers to the compressive strength of the concrete test block, and the tensile strength of the test block refers to the tensile strength of the concrete test block. When the influencing factors are: modified carboxylate dosage, low-speed stirring duration, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring duration, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume, and the number of factors for high-speed stirring duration is 6, the number of factors for stirring stop time is 7, the number of factors for modified water-reducing agent dosage is 8, the number of factors for low-speed stirring duration is 10, the number of factors for cement strength is 10, the number of factors for low-speed stirring temperature is 11, the number of factors for low-speed stirring speed is 12, the number of factors for high-speed stirring speed is 15, the number of factors for mixing water purity is 16, the number of factors for mixing water volume is 19, and the number of factors for high-speed stirring temperature is 20, the number of concrete test blocks can reach 6*7*8*10*10*11*12* The number of concrete test blocks is 15*16*19*20. Due to the excessively large number of test blocks, this invention can compress the number of factor values ​​for high-speed mixing time to 1, mixing stop time to 1, modified water-reducing agent dosage to 2, low-speed mixing time to 2, cement strength to 2, low-speed mixing temperature to 2, low-speed mixing speed to 2, high-speed mixing speed to 2, mixing water purity to 2, mixing water quantity to 2, and high-speed mixing temperature to 3. At this time, the number of concrete test blocks can reach 1*1*2*2*2*2*2*2*2*2*3. At the same time, the number of concrete test blocks can be reduced by reducing the number of the aforementioned preparation influencing factors. The number of test blocks in the slump set, compressive strength set, and tensile strength set are equal, and all are equal to the number of concrete test blocks.

[0155] Furthermore, other properties of the concrete specimen can also be tested.

[0156] S8. Extract the terminating three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems, and extract the set of terminating three-dimensional coordinate points from the set of terminating three-dimensional factor coordinate systems.

[0157] Understandably, the terminating three-dimensional factor coordinate system refers to the last three-dimensional factor coordinate system in the set of three-dimensional factor coordinate systems. The terminating three-dimensional coordinate point set refers to the set of coordinate points in the terminating three-dimensional factor coordinate system.

[0158] S9. Assign density values ​​to each of the three-dimensional coordinate points in the set of three-dimensional coordinate points based on the slump set, compressive strength set, and tensile strength set of the test blocks to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume.

[0159] Understandably, the density assignment refers to labeling or assigning values ​​to the slump, compressive strength, and tensile strength of the test blocks at the termination three-dimensional coordinate point based on the test block slump set, compressive strength set, and tensile strength set, and using the labeled or assigned slump, compressive strength, and tensile strength as the slump density, compressive density, and tensile density of the termination three-dimensional coordinate point. The slump three-dimensional density volume, compressive three-dimensional density volume, and tensile three-dimensional density volume refer to the three-dimensional region volume constructed from the termination three-dimensional coordinate point after labeling or assigning values ​​to the test block slump set, compressive strength set, and tensile strength set, respectively. When the number of factors for high-speed mixing duration is compressed to 1, the number of factors for mixing stop duration is compressed to 1, the number of factors for modified water-reducing agent dosage is compressed to 2, the number of factors for low-speed mixing duration is compressed to 2, the number of factors for cement strength is compressed to 2, the number of factors for low-speed mixing temperature is compressed to 2, the number of factors for low-speed mixing speed is compressed to 2, the number of factors for high-speed mixing speed is compressed to 2, the number of factors for mixing water purity is compressed to 2, the number of factors for mixing water quantity is compressed to 2, and the number of factors for high-speed mixing temperature is compressed to 3, the number of the termination three-dimensional factor coordinate systems is 1*1*2*2*2*2*2*2, and each termination three-dimensional factor coordinate system contains one slump three-dimensional density volume, one compressive three-dimensional density volume, and one tensile three-dimensional density volume.

[0160] In this embodiment of the invention, the step of assigning density values ​​to each termination three-dimensional coordinate point in the termination three-dimensional coordinate point set according to the slump set, compressive strength set, and tensile strength set of the test blocks to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume includes:

[0161] Extract the slump values ​​of the test blocks sequentially from the slump value set, identify the slump coordinate association path corresponding to the slump value of the test blocks, and extract the slump termination coordinate point from the slump coordinate association path;

[0162] The collapse density of the test block is used as the collapse density at the collapse termination coordinate point to obtain the three-dimensional collapse density volume.

[0163] The compressive strength of the test blocks is extracted sequentially from the set of compressive strength of the test blocks, the compressive coordinate association path corresponding to the compressive strength of the test blocks is identified, and the compressive termination coordinate point is extracted from the compressive coordinate association path;

[0164] Using the compressive strength of the test block as the compressive density at the compressive termination coordinate point, a three-dimensional compressive density volume is obtained;

[0165] The tensile strength of the test blocks is extracted sequentially from the tensile strength set of the test blocks, the tensile coordinate association path corresponding to the tensile strength of the test blocks is identified, and the tensile termination coordinate point is extracted from the tensile coordinate association path;

[0166] Using the tensile strength of the test block as the tensile density at the tensile termination coordinate point, a three-dimensional tensile density volume is obtained.

[0167] Understandably, the collapse coordinate association path refers to the factor coordinate association path corresponding to the collapse degree of the test block. The collapse termination coordinate point refers to the last coordinate point in the collapse coordinate association path that is located in the termination three-dimensional factor coordinate system. Since there are multiple termination three-dimensional factor coordinate systems in the multi-tree association coordinate system, there are also multiple collapse three-dimensional density volumes. The compressive strength coordinate association path, compressive strength three-dimensional density volume, tensile strength coordinate association path, and tensile strength three-dimensional density volume are similar and will not be described again here.

[0168] S10. Obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range, and select the target collapse body in the collapse three-dimensional density body according to the target collapse value range.

[0169] Understandably, the target slump value range, target compressive strength value range, and target tensile strength value range refer to the slump value range that meets the slump requirement, the compressive strength value range that meets the compressive strength requirement, and the tensile strength value range that meets the tensile strength requirement, respectively, as input by the user. For example, the target slump value range can be (180mm, 220mm), the target compressive strength value range can be (15MPa, 35MPa), and the target tensile strength value range can be (1.54N / mm²). 2 2.01 N / mm 2 The target collapse body refers to a three-dimensional region composed of the collapse termination coordinates within the target collapse value range.

[0170] In this embodiment of the invention, selecting the target collapse body in the three-dimensional density volume of the collapse based on the target collapse value range includes:

[0171] The collapse termination coordinates are extracted sequentially from the collapse three-dimensional density volume, and it is determined whether the collapse intensity of the collapse termination coordinates belongs to the target collapse value range.

[0172] If the collapse intensity at the collapse termination coordinate point belongs to the target collapse value range, then the collapse termination coordinate point is taken as the target collapse coordinate point.

[0173] All target collapse coordinate points are aggregated to obtain a target collapse coordinate point set. The coordinate three-dimensional region of the target collapse coordinate point set in the collapse three-dimensional density volume is identified, and the coordinate three-dimensional region is taken as the target collapse body.

[0174] S11. Select a target compressive body from the compressive three-dimensional density body according to the target compressive strength range, and select a target tensile body from the tensile three-dimensional density body according to the target tensile strength range.

[0175] Explained, the target compressive strength body refers to a three-dimensional region composed of compressive strength termination coordinate points within the target compressive strength value range. The target tensile strength body refers to a three-dimensional region composed of tensile strength termination coordinate points within the target tensile strength value range. The methods for obtaining the target compressive strength body and the target tensile strength body are the same as those for obtaining the target collapse body, and will not be repeated here.

[0176] S12. Obtain the intersection of the properties of the target collapse body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system.

[0177] Understandably, the morphological intersection refers to the coordinate three-dimensional region formed by the termination three-dimensional coordinate points in the termination three-dimensional factor coordinate system that simultaneously belong to the target collapse body, the target compressive body, and the target tensile body.

[0178] In this embodiment of the invention, obtaining the intersection of the properties of the target collapsed body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system includes:

[0179] In the multi-tree-like associated coordinate system, the termination morphology intersection coordinate system is extracted sequentially, wherein the termination morphology intersection coordinate system is a termination three-dimensional factor coordinate system in which there are target collapse bodies, target compressive bodies and target tensile bodies;

[0180] Extract the intersection of coordinate points of the target collapsed body, the target compressive body, and the target tensile body in the termination property intersection coordinate system;

[0181] Identify the three-dimensional coordinate region of the intersection of the coordinate points, and use the three-dimensional coordinate region as the intersection of the traits.

[0182] Understandably, the intersection of coordinate points refers to the set of three-dimensional coordinate points that simultaneously belong to the target collapsed body, the target compressive body, and the target tensile body in the same termination characteristic intersection coordinate system.

[0183] S13. Receive the target trait coordinates selected by the user in the trait intersection group, and extract the target preparation path of the target trait coordinates in the multi-tree-like correlation coordinate system.

[0184] In this embodiment of the invention, the target trait coordinates refer to the terminating three-dimensional coordinate point selected by the user from the trait intersection group according to trait requirements. Since each terminating three-dimensional coordinate point corresponds to a factor coordinate association path, a target preparation path can be extracted based on the target trait coordinates. The target preparation path refers to the factor coordinate association path where the target trait coordinates are located.

[0185] S14. Concrete is prepared according to the target preparation path to complete the optimization of concrete properties based on modified carboxylates.

[0186] Understandably, once the target preparation path is obtained, concrete can be prepared according to the values ​​of each preparation influencing factor corresponding to the starting factor coordinate point, the second factor coordinate point, ... and the nth factor coordinate point in the target preparation path.

[0187] To address the problems described in the background art, this invention first constructs a multi-tree-structured coordinate system that comprehensively and intuitively reflects various influencing factors in the preparation process. After constructing the multi-tree-structured coordinate system, factor coordinate association paths are extracted from it. Concrete specimens are then prepared based on these paths, and their properties are tested. This yields a slump set, compressive strength set, and tensile strength set for each factor coordinate association path. Density values ​​are then assigned to each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set based on these sets, resulting in slump density, compressive strength, and tensile strength volumes. The target slump, compressive strength, and tensile strength can be identified using slump three-dimensional density volumes, compressive strength three-dimensional density volumes, and tensile strength three-dimensional density volumes. Since the morphological requirements for concrete specimens involve various dimensions, such as slump, compressive strength, and tensile strength, it is necessary to finally obtain the morphological intersection of the target slump, compressive strength, and tensile strength in the terminating three-dimensional factor coordinate system. Then, the target morphological coordinates selected by the user in the morphological intersection are received, and the target preparation path of the target morphological coordinates is extracted in the multi-tree-structured coordinate system. Finally, concrete preparation is performed according to the target preparation path. Specifically, when constructing the multi-tree-structured coordinate system, it is first necessary to obtain the preparation influencing factor sequence. The process involves dividing each influence factor in the prepared influence factor sequence into multiple sets of factor gradient sequences. Since the initial coordinate dimension is related to the total number of influence factors, a pre-constructed formula for the initial coordinate dimension is used to calculate the initial coordinate dimension based on these multiple sets of factor gradient sequences. Then, an initial factor gradient sequence set is extracted from these multiple sets of factor gradient sequences based on the initial coordinate dimension. Because a three-dimensional factor coordinate system also needs to be constructed, the initial factor gradient sequence set is removed from the multiple sets of factor gradient sequences, resulting in multiple sets of three-dimensional factor gradient sequences. At this point, an initial factor coordinate system can be constructed based on the initial factor gradient sequence set, and a three-dimensional factor coordinate system set can be constructed based on the multiple sets of three-dimensional factor gradient sequence sets. Finally, a multi-tree-like associated coordinate system is constructed based on the initial factor coordinate system and the set of three-dimensional factor coordinate systems. After obtaining the multi-tree-like associated coordinate system, density values ​​need to be assigned to the terminating three-dimensional coordinate points in the terminating three-dimensional factor coordinate system to obtain the collapse three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume. When assigning density values, since each terminating three-dimensional coordinate point in the terminating three-dimensional factor coordinate system uniquely corresponds to a factor coordinate association path, density values ​​can be assigned to each terminating three-dimensional coordinate point in the set of terminating three-dimensional coordinate points based on the test block collapse set, the test block compressive strength set, and the test block tensile strength set to obtain the collapse three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume.By using slump, compressive, and tensile density volumes, the slump, compressive strength, and tensile strength of concrete specimens prepared along each factor coordinate association path can be obtained. Then, based on the target slump, compressive, and tensile value ranges, target slump, compressive, and tensile properties can be selected from these three-dimensional density volumes respectively, and the morphological intersection can be calculated. Finally, the target morphological coordinates input by the user can be directly received using the morphological intersection, and concrete preparation can be performed according to the corresponding target preparation path. Therefore, this invention can solve the problems of incomplete optimization of preparation influencing factors and low optimization degree of concrete properties in the current concrete preparation process.

[0188] like Figure 2 The diagram shown is a functional block diagram of a concrete property optimization system based on modified carboxylate provided in an embodiment of the present invention.

[0189] The modified carboxylate-based concrete property optimization system 100 of this invention can be installed in an electronic device. Depending on the functions implemented, the modified carboxylate-based concrete property optimization system 100 may include a multi-tree-structured coordinate system construction module 101, a property density assignment module 102, a property intersection calculation module 103, and a concrete preparation module 104. The module described in this invention can also be called a unit, referring to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0190] The multi-tree-structured coordinate system construction module 101 is used to obtain the preparation influencing factor sequence, perform factor gradient partitioning on each preparation influencing factor in the preparation influencing factor sequence, and obtain multiple sets of factor gradient sequences. The preparation influencing factor sequence includes: modified carboxylate dosage, low-speed stirring duration, low-speed stirring speed, low-speed stirring temperature, stirring stop duration, high-speed stirring duration, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume. Using a pre-constructed initial coordinate dimension formula, the initial coordinate dimension is calculated based on the multiple sets of factor gradient sequences. The initial coordinate dimension formula is as follows:

[0191] ω1 = mod(y, 3)

[0192] Where ω1 represents the initial coordinate dimension, y represents the total number of influencing factors, and mod represents the modulo operator; based on the initial coordinate dimension, an initial factor gradient sequence set is extracted from the multiple sets of factor gradient sequences; the initial factor gradient sequence set is then removed from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequences; an initial factor coordinate system is constructed based on the initial factor gradient sequence set; a three-dimensional factor coordinate system set is constructed based on the multiple sets of three-dimensional factor gradient sequence sets; and a multi-tree-like associated coordinate system is constructed based on the initial factor coordinate system and the three-dimensional factor coordinate system set.

[0193] The trait density assignment module 102 is used to sequentially extract factor coordinate association paths in the multi-tree-like associated coordinate system, prepare concrete test blocks according to the factor coordinate association paths, test the slump, compressive strength, and tensile strength of the concrete test blocks to obtain a slump set, a compressive strength set, and a tensile strength set; extract a terminating three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extract a terminating three-dimensional coordinate point set from the terminating three-dimensional factor coordinate system; assign density values ​​to each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set according to the slump set, compressive strength set, and tensile strength set to obtain a slump three-dimensional density volume, a compressive three-dimensional density volume, and a tensile three-dimensional density volume.

[0194] The morphological intersection calculation module 103 is used to obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range; select the target collapse body in the collapse three-dimensional density volume according to the target collapse value range; select the target compressive strength body in the compressive strength three-dimensional density volume according to the target compressive strength value range; select the target tensile strength body in the tensile strength three-dimensional density volume according to the target tensile strength value range; and calculate the morphological intersection of the target collapse body, the target compressive strength body, and the target tensile strength body in the terminating three-dimensional factor coordinate system.

[0195] The concrete preparation module 104 is used to receive the target morphological coordinates selected by the user in the morphological intersection, extract the target preparation path of the target morphological coordinates in the multi-tree-like associated coordinate system, and prepare concrete according to the target preparation path.

[0196] In detail, the modules in the modified carboxylate-based concrete property optimization system 100 described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The method used is the same as the modified carboxylate-based concrete property optimization method described in the article, and can produce the same technical effect, so it will not be repeated here.

[0197] like Figure 3The diagram shown is a schematic representation of an electronic device for implementing a method for optimizing concrete properties based on modified carboxylates, according to an embodiment of the present invention.

[0198] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a method program for optimizing concrete properties based on modified carboxylates.

[0199] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a concrete property optimization method program based on modified carboxylate, but also to temporarily store data that has been output or will be output.

[0200] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device via various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a method for optimizing concrete properties based on modified carboxylates) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0201] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0202] Figure 3 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0203] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0204] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0205] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired or wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0206] It should be understood that the embodiments described are for illustrative purposes only and are not limited to this structure in the scope of the patent application.

[0207] The program for optimizing concrete properties based on modified carboxylate stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0208] The preparation influencing factor sequence is obtained, and each preparation influencing factor in the preparation influencing factor sequence is divided into factor gradients to obtain multiple sets of factor gradient sequences. The preparation influencing factor sequence includes: modified carboxylate content, low-speed stirring time, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring time, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume.

[0209] The initial coordinate dimension is calculated based on the multiple sets of factor gradient sequences using a pre-constructed initial coordinate dimension formula, wherein the initial coordinate dimension formula is as follows:

[0210] ω1 = mod(y, 3)

[0211] Where ω1 represents the initial coordinate dimension, y represents the total number of influence factors, and mod represents the modulo operator;

[0212] Based on the initial coordinate dimension, an initial factor gradient sequence set is extracted from the multiple sets of factor gradient sequences. The initial factor gradient sequence set is then removed from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequence sets.

[0213] Construct an initial factor coordinate system based on the initial factor gradient sequence set, and construct a three-dimensional factor coordinate system set based on the multiple sets of three-dimensional factor gradient sequence sets;

[0214] Construct a multi-tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set;

[0215] In the multi-tree-like associated coordinate system, the factor coordinate association path is extracted sequentially, and concrete test blocks are prepared according to the factor coordinate association path;

[0216] The slump, compressive strength, and tensile strength of the concrete test blocks were tested to obtain a set of slump values, a set of compressive strength values, and a set of tensile strength values.

[0217] Extract the terminating three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems, and extract the set of terminating three-dimensional coordinate points from the terminating three-dimensional factor coordinate system.

[0218] Based on the slump set, compressive strength set, and tensile strength set of the test blocks, density values ​​are assigned to each of the three-dimensional coordinate points in the set of three-dimensional coordinate points to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume.

[0219] Obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range, and select the target collapse body in the collapse three-dimensional density volume according to the target collapse value range;

[0220] Based on the target compressive strength value range, a target compressive body is selected from the compressive three-dimensional density body; based on the target tensile strength value range, a target tensile body is selected from the tensile three-dimensional density body.

[0221] Find the intersection of the properties of the target collapsed body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system;

[0222] Receive the target trait coordinates selected by the user in the trait intersection group, and extract the target preparation path of the target trait coordinates in the multi-tree-like correlation coordinate system;

[0223] Concrete is prepared according to the target preparation path, and the properties of concrete based on modified carboxylates are optimized.

[0224] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0225] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0226] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following:

[0227] The preparation influencing factor sequence is obtained, and each preparation influencing factor in the preparation influencing factor sequence is divided into factor gradients to obtain multiple sets of factor gradient sequences. The preparation influencing factor sequence includes: modified carboxylate content, low-speed stirring time, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring time, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume.

[0228] The initial coordinate dimension is calculated based on the multiple sets of factor gradient sequences using a pre-constructed initial coordinate dimension formula, wherein the initial coordinate dimension formula is as follows:

[0229] ω1 = mod(y, 3)

[0230] Where ω1 represents the initial coordinate dimension, y represents the total number of influence factors, and mod represents the modulo operator;

[0231] Based on the initial coordinate dimension, an initial factor gradient sequence set is extracted from the multiple sets of factor gradient sequences. The initial factor gradient sequence set is then removed from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequence sets.

[0232] Construct an initial factor coordinate system based on the initial factor gradient sequence set, and construct a three-dimensional factor coordinate system set based on the multiple sets of three-dimensional factor gradient sequence sets;

[0233] Construct a multi-tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set;

[0234] In the multi-tree-like associated coordinate system, the factor coordinate association path is extracted sequentially, and concrete test blocks are prepared according to the factor coordinate association path;

[0235] The slump, compressive strength, and tensile strength of the concrete test blocks were tested to obtain a set of slump values, a set of compressive strength values, and a set of tensile strength values.

[0236] Extract the terminating three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems, and extract the set of terminating three-dimensional coordinate points from the terminating three-dimensional factor coordinate system.

[0237] Based on the slump set, compressive strength set, and tensile strength set of the test blocks, density values ​​are assigned to each of the three-dimensional coordinate points in the set of three-dimensional coordinate points to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume.

[0238] Obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range, and select the target collapse body in the collapse three-dimensional density volume according to the target collapse value range;

[0239] Based on the target compressive strength value range, a target compressive body is selected from the compressive three-dimensional density body; based on the target tensile strength value range, a target tensile body is selected from the tensile three-dimensional density body.

[0240] Find the intersection of the properties of the target collapsed body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system;

[0241] Receive the target trait coordinates selected by the user in the trait intersection group, and extract the target preparation path of the target trait coordinates in the multi-tree-like correlation coordinate system;

[0242] Concrete is prepared according to the target preparation path, and the properties of concrete based on modified carboxylates are optimized.

[0243] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0244] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0245] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0246] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0247] Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in a system claim may also be implemented by a single unit or device through software or hardware. The term "second class" is used to indicate names and does not indicate any specific order.

[0248] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing concrete properties based on modified carboxylates, characterized in that, The method includes: The preparation influencing factor sequence is obtained, and each preparation influencing factor in the preparation influencing factor sequence is divided into factor gradients to obtain multiple sets of factor gradient sequences. The preparation influencing factor sequence includes: modified carboxylate content, low-speed stirring time, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring time, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume. The initial coordinate dimension is calculated based on the multiple sets of factor gradient sequences using a pre-constructed initial coordinate dimension formula, wherein the initial coordinate dimension formula is as follows: ω1 = mod(y, 3) Where ω1 represents the initial coordinate dimension, y represents the total number of influence factors, and mod represents the modulo operator; Based on the initial coordinate dimension, an initial factor gradient sequence set is extracted from the multiple sets of factor gradient sequences. The initial factor gradient sequence set is then removed from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequence sets. Construct an initial factor coordinate system based on the initial factor gradient sequence set, and construct a three-dimensional factor coordinate system set based on the multiple sets of three-dimensional factor gradient sequence sets; Construct a multi-tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set; In the multi-tree-like associated coordinate system, the factor coordinate association path is extracted sequentially, and concrete test blocks are prepared according to the factor coordinate association path; The slump, compressive strength, and tensile strength of the concrete test blocks were tested to obtain a set of slump values, a set of compressive strength values, and a set of tensile strength values. Extract the terminating three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems, and extract the set of terminating three-dimensional coordinate points from the terminating three-dimensional factor coordinate system. Based on the slump set, compressive strength set, and tensile strength set of the test blocks, density values ​​are assigned to each of the three-dimensional coordinate points in the set of three-dimensional coordinate points to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume. Obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range, and select the target collapse body in the collapse three-dimensional density volume according to the target collapse value range; Based on the target compressive strength value range, a target compressive body is selected from the compressive three-dimensional density body; based on the target tensile strength value range, a target tensile body is selected from the tensile three-dimensional density body. Find the intersection of the properties of the target collapsed body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system; Receive the target trait coordinates selected by the user in the trait intersection group, and extract the target preparation path of the target trait coordinates in the multi-tree-like correlation coordinate system; Concrete is prepared according to the target preparation path, and the properties of concrete based on modified carboxylates are optimized.

2. The method for optimizing concrete properties based on modified carboxylates as described in claim 1, characterized in that, The process of obtaining and preparing the influence factor sequence includes: Receive the set of prepared impact factors, and extract the prepared impact factors sequentially from the set of prepared impact factors; Obtain the factor value range and factor value gradient for the preparation of the influence factors, and calculate the number of factor values ​​based on the factor value range and factor value gradient using the following formula: Where, γ i μ represents the number of factor values ​​for the i-th influencing factor. i τ represents the range of values ​​for the i-th influencing factor. i This represents the gradient of the i-th influencing factor, and [] represents the rounding symbol; The preparation influence factors are sorted from smallest to largest according to the number of factor values ​​to obtain the preparation influence factor sequence.

3. The method for optimizing concrete properties based on modified carboxylates as described in claim 2, characterized in that, The process involves dividing each prepared impact factor in the prepared impact factor sequence into factor gradient sequences, resulting in multiple sets of factor gradient sequences, including: Identify the factor value range and factor value gradient of the prepared influencing factors; Based on the factor value gradient, an impact factor numerical sequence is selected within the factor value range, and the impact factor numerical sequence is used as the factor gradient sequence for preparing the impact factor. By summing up all the factor gradient sequences that prepared the influencing factors, multiple sets of factor gradient sequences were obtained.

4. The method for optimizing concrete properties based on modified carboxylates as described in claim 1, characterized in that, The step of constructing the initial factor coordinate system based on the initial factor gradient sequence set includes: An original factor coordinate system is constructed based on the initial coordinate dimension, wherein the number of coordinate axes of the original factor coordinate system is equal to the initial coordinate dimension; The initial factor gradient sequence is extracted sequentially from the initial factor gradient sequence set, and the original factor coordinate axis is extracted sequentially from the original factor coordinate system. The initial factor coordinate system is obtained by using the gradient sequence of the initial factor to label the coordinate axes of the original factor.

5. The method for optimizing concrete properties based on modified carboxylates as described in claim 4, characterized in that, The construction of a multi-tree-like associated coordinate system based on the initial factor coordinate system and the three-dimensional factor coordinate system set includes: Extract the set of starting factor coordinate points in the starting factor coordinate system based on the set of starting factor gradient sequences; The initial factor coordinate points are extracted sequentially from the initial factor coordinate point set, and the second three-dimensional factor coordinate system is extracted from the three-dimensional factor coordinate system set. By using the initial factor coordinate points, the initial factor coordinate system and the second three-dimensional factor coordinate system are linked to obtain a double tree-like associated coordinate system. The double tree-like associated coordinate system includes one initial factor coordinate system, k1 initial factor coordinate points, k1 second three-dimensional factor coordinate system, and k1×k2 second factor coordinate points. The second three-dimensional factor coordinate system is extracted sequentially from the dual-tree-like associated coordinate system; Extract the second factor coordinate points sequentially in the second three-dimensional factor coordinate system, and extract the third three-dimensional factor coordinate system from the set of three-dimensional factor coordinate systems; The second factor coordinate points are used to link the dual-tree-like associated coordinate system with the third three-dimensional factor coordinate system to obtain a triple-tree-like associated coordinate system. The triple-tree-like associated coordinate system includes one initial factor coordinate system, k1 initial factor coordinate points, k1 second three-dimensional factor coordinate system, k1×k2 second factor coordinate points, k1×k2 third three-dimensional factor coordinate system, and k1×k2×k3 third factor coordinate points. Based on the aforementioned triple tree-structured coordinate system and three-dimensional factor coordinate system set, obtain the i-th tree-structured coordinate system, where i>3; Identify the number of three-dimensional factor coordinate system sets in the three-dimensional factor coordinate system set; Determine whether i-1 is equal to the number of the three-dimensional factor coordinate system groups, where the number of the three-dimensional factor coordinate system groups is n; If i-1 is not equal to the number of the three-dimensional factor coordinate system sets, then use i+1 to update i, and return to the above steps of obtaining the i-th tree-related coordinate system based on the triple tree-related coordinate system and the three-dimensional factor coordinate system set; If i-1 is equal to the number of the three-dimensional factor coordinate system groups, then a multi-tree-like associated coordinate system is obtained.

6. The method for optimizing concrete properties based on modified carboxylates as described in claim 5, characterized in that, The step of sequentially extracting factor coordinate association paths in the multi-tree-structured associative coordinate system includes: The starting factor coordinate points are extracted sequentially in the multi-tree-like associated coordinate system, and the second factor coordinate point set is extracted in the second three-dimensional factor coordinate system. In the multi-tree-like associated coordinate system, the starting factor coordinate point is associated with each second factor coordinate point in the second factor coordinate point set to obtain a first coordinate association path set; Extract the first coordinate association path sequentially from the first coordinate association path set, and extract the third factor coordinate point set from the third three-dimensional factor coordinate system; In the multi-tree-like associated coordinate system, the first coordinate association path is associated with each third factor coordinate point in the third factor coordinate point set to obtain the second coordinate association path set; The (j-1)th coordinate association path set is obtained based on the second coordinate association path set and the jth three-dimensional factor coordinate system, where j>3; Determine if j-1 is equal to n; If j-1 is not equal to n, then update j using j+1 and return to the steps described above for obtaining the (j-1)th coordinate associated path set based on the second coordinate associated path set and the jth three-dimensional factor coordinate system. If j-1 equals n, then the set of paths associated with the nth coordinate is obtained; Extract factor coordinate association paths sequentially from the set of nth coordinate association paths.

7. The method for optimizing concrete properties based on modified carboxylates as described in claim 1, characterized in that, The step of assigning density values ​​to each termination three-dimensional coordinate point in the termination three-dimensional coordinate point set according to the slump set, compressive strength set, and tensile strength set of the test blocks to obtain the slump three-dimensional density volume, the compressive three-dimensional density volume, and the tensile three-dimensional density volume includes: Extract the slump values ​​of the test blocks sequentially from the slump value set, identify the slump coordinate association path corresponding to the slump value of the test blocks, and extract the slump termination coordinate point from the slump coordinate association path; The collapse density of the test block is used as the collapse density at the collapse termination coordinate point to obtain the three-dimensional collapse density volume. The compressive strength of the test blocks is extracted sequentially from the set of compressive strength of the test blocks, the compressive coordinate association path corresponding to the compressive strength of the test blocks is identified, and the compressive termination coordinate point is extracted from the compressive coordinate association path; Using the compressive strength of the test block as the compressive density at the compressive termination coordinate point, a three-dimensional compressive density volume is obtained; The tensile strength of the test blocks is extracted sequentially from the tensile strength set of the test blocks, the tensile coordinate association path corresponding to the tensile strength of the test blocks is identified, and the tensile termination coordinate point is extracted from the tensile coordinate association path; Using the tensile strength of the test block as the tensile density at the tensile termination coordinate point, a three-dimensional tensile density volume is obtained.

8. The method for optimizing concrete properties based on modified carboxylates as described in claim 7, characterized in that, The step of selecting the target collapse body in the three-dimensional density volume of the collapse based on the target collapse value range includes: The collapse termination coordinates are extracted sequentially from the collapse three-dimensional density volume, and it is determined whether the collapse intensity of the collapse termination coordinates belongs to the target collapse value range. If the collapse intensity at the collapse termination coordinate point belongs to the target collapse value range, then the collapse termination coordinate point is taken as the target collapse coordinate point. All target collapse coordinate points are aggregated to obtain a target collapse coordinate point set. The coordinate three-dimensional region of the target collapse coordinate point set in the collapse three-dimensional density volume is identified, and the coordinate three-dimensional region is taken as the target collapse body.

9. The method for optimizing concrete properties based on modified carboxylates as described in claim 8, characterized in that, The process of obtaining the intersection of the properties of the target collapsed body, the target compressive body, and the target tensile body in the terminating three-dimensional factor coordinate system includes: In the multi-tree-like associated coordinate system, the termination morphology intersection coordinate system is extracted sequentially, wherein the termination morphology intersection coordinate system is a termination three-dimensional factor coordinate system in which there are target collapse bodies, target compressive bodies and target tensile bodies; Extract the intersection of coordinate points of the target collapsed body, the target compressive body, and the target tensile body in the termination property intersection coordinate system; Identify the three-dimensional coordinate region of the intersection of the coordinate points, and use the three-dimensional coordinate region as the intersection of the traits.

10. A concrete property optimization system based on modified carboxylates, characterized in that, The system includes: A multi-tree-structured coordinate system construction module is used to obtain the preparation influencing factor sequence. For each preparation influencing factor in the sequence, factor gradient partitioning is performed to obtain multiple sets of factor gradient sequences. These preparation influencing factor sequences include: modified carboxylate content, low-speed stirring duration, low-speed stirring speed, low-speed stirring temperature, stirring stop time, high-speed stirring duration, high-speed stirring speed, high-speed stirring temperature, mixing water purity, cement strength, and mixing water volume. Using a pre-constructed initial coordinate dimension formula, the initial coordinate dimension is calculated based on the multiple sets of factor gradient sequences. The initial coordinate dimension formula is shown below: ω1 = mod(y, 3) Where ω1 represents the initial coordinate dimension, y represents the total number of influencing factors, and mod represents the modulo operator; based on the initial coordinate dimension, an initial factor gradient sequence set is extracted from the multiple sets of factor gradient sequences; the initial factor gradient sequence set is then removed from the multiple sets of factor gradient sequences to obtain multiple sets of three-dimensional factor gradient sequences; an initial factor coordinate system is constructed based on the initial factor gradient sequence set; a three-dimensional factor coordinate system set is constructed based on the multiple sets of three-dimensional factor gradient sequence sets; and a multi-tree-like associated coordinate system is constructed based on the initial factor coordinate system and the three-dimensional factor coordinate system set. The property density assignment module is used to sequentially extract factor coordinate association paths in the multi-tree-like associated coordinate system, prepare concrete test blocks according to the factor coordinate association paths, test the slump, compressive strength, and tensile strength of the concrete test blocks to obtain a slump set, a compressive strength set, and a tensile strength set; extract a terminating three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extract a terminating three-dimensional coordinate point set from the terminating three-dimensional factor coordinate system; assign density values ​​to each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set according to the slump set, compressive strength set, and tensile strength set to obtain a slump three-dimensional density volume, a compressive three-dimensional density volume, and a tensile three-dimensional density volume. The morphological intersection calculation module is used to obtain the target collapse value range, the target compressive strength value range, and the target tensile strength value range; select the target collapse body in the collapse three-dimensional density volume according to the target collapse value range; select the target compressive strength body in the compressive strength three-dimensional density volume according to the target compressive strength value range; select the target tensile strength body in the tensile strength three-dimensional density volume according to the target tensile strength value range; and calculate the morphological intersection of the target collapse body, the target compressive strength body, and the target tensile strength body in the terminating three-dimensional factor coordinate system. The concrete preparation module is used to receive the target morphological coordinates selected by the user in the morphological intersection, extract the target preparation path of the target morphological coordinates in the multi-tree-related coordinate system, and prepare concrete according to the target preparation path.

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