Concrete character optimization method and system based on modified carboxylate

Abstract

The invention relates to the technical field of concrete character optimization, and discloses a concrete character optimization method and system based on modified carboxylate, and the method comprises the steps: constructing a multi-tree-shaped correlation coordinate system according to an initial factor coordinate system and a three-dimensional factor coordinate system set, preparing a concrete test block according to a factor coordinate correlation path, according to a test block slump degree set, a test block compressive strength set and a test block tensile strength set, a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body are constructed, a target slump body, a target compressive body and a target tensile body are selected, character intersections of the target slump body, the target compressive body and the target tensile body are solved, and target character coordinates are extracted; and extracting a target preparation path of the target character coordinates in the multi-tree-shaped correlation coordinate system, and preparing concrete according to the target preparation path. The problems that in the current concrete preparation process, preparation influence factors are not comprehensively optimized, and the concrete property optimization degree is low can be solved.

Description

Technical Field

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

[0002] With the rapid development of the construction industry, the requirements for the performance of concrete materials are increasing. Polycarboxylate water-reducing agent molecules contain a variety of functional groups, which can adsorb on the surface of the hydration products of silicate cement, not only forming an adsorption layer, but also destroying the flocculation structure between silicate particles. After the addition of polycarboxylate water-reducing agent, its electrostatic repulsion and steric hindrance can greatly change the interaction between silicate cement particles and the physical and chemical properties of the solid-liquid interface, making the silicate cement particles evenly distributed, thereby improving the fluidity and other properties of the cement paste.

[0003] According to the water-reducing mechanism of polycarboxylate water-reducing agent, currently, the main methods for designing macromolecules to achieve carboxylate modification are from two directions: one is to synthesize strong polar groups to provide spatial repulsion to disperse the agglomerated cement particles; the other is to introduce long hydrophilic side chains on the molecular chain to provide spatial steric effect to keep the cement paste in good fluidity. However, the current preparation of concrete involves complicated preparation processes, which will produce many preparation influencing factors that affect the properties of concrete, such as high-speed mixing time, low-speed mixing time, mixing pause time, etc., and there is currently no complete and efficient solution to uniformly analyze these preparation influencing factors, which leads to the problem that the current process of preparing concrete has incomplete optimization of preparation influencing factors and low degree of optimization of concrete properties. Summary of the invention

[0004] The present invention provides a concrete property optimization method based on modified carboxylate and a computer-readable storage medium, the main purpose of which is to solve the problems of incomplete optimization of preparation influencing factors and low degree of optimization of concrete properties in the current concrete preparation process.

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

[0006] Obtaining a preparation influencing factor sequence, performing factor gradient division on each preparation influencing factor in the preparation influencing factor sequence, and obtaining multiple groups of factor gradient sequences, wherein the preparation influencing factor sequence includes: modified carboxylate dosage, 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 amount;

[0007] The pre-constructed starting coordinate dimension formula is used to calculate the starting coordinate dimension according to the multiple groups of factor gradient sequences, wherein the starting coordinate dimension formula is as follows:

[0008] ω1=mod(y,3)

[0009] Among them, ω1 represents the starting coordinate dimension, y represents the total number of preparation impact factors, and mod represents the modulus operator;

[0010] Extracting a starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension, and eliminating the starting factor gradient sequence set from the multiple groups of factor gradient sequences to obtain multiple groups of three-dimensional factor gradient sequence sets;

[0011] Constructing a starting factor coordinate system according to the starting factor gradient sequence set, and constructing a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets;

[0012] Constructing a multiple tree-like associated coordinate system according to the initial factor coordinate system and the three-dimensional factor coordinate system set;

[0013] extracting factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and preparing concrete test blocks according to the factor coordinate association paths;

[0014] Testing the test block slump, test block compressive strength and test block tensile strength of the concrete test block to obtain a test block slump set, a test block compressive strength set and a test block tensile strength set;

[0015] Extracting a termination three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extracting a termination three-dimensional coordinate point set from the termination three-dimensional factor coordinate system;

[0016] According to the test block slump set, the test block compressive strength set and the test block tensile strength set, density is assigned to each of the termination three-dimensional coordinate points in the termination three-dimensional coordinate point set to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body;

[0017] Obtaining a target collapse value interval, a target compression value interval, and a target tensile value interval, and selecting a target collapse body from the collapse three-dimensional density body according to the target collapse value interval;

[0018] Select a target compression body from the compression three-dimensional density body according to the target compression value range, and select a target tensile body from the tensile three-dimensional density body according to the target tensile value range;

[0019] Obtain the intersection of the properties of the target collapse body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system;

[0020] receiving target trait coordinates selected by a user in the trait intersection set, and extracting a target preparation path of the target trait coordinates in the multiple tree-like associated coordinate system;

[0021] Concrete is prepared according to the target preparation path to achieve concrete property optimization based on modified carboxylates.

[0022] Optionally, the step of obtaining and preparing an impact factor sequence includes:

[0023] receiving a preparation impact factor set, and extracting preparation impact factors in sequence from the preparation impact factor set;

[0024] Obtain the factor value interval and factor value gradient of the preparation influencing factor, and use the following formula to calculate the number of factor values ​​according to the factor value interval and factor value gradient:

[0025]

[0026] Among them, γ i represents the number of factor values ​​of the i-th preparation influencing factor, μ i represents the factor value interval of the i-th preparation influencing factor, τ i represents the factor value gradient of the i-th preparation influencing factor, [] represents the rounding symbol;

[0027] The preparation influencing factors are sorted from small to large according to the number of factor values ​​to obtain the preparation influencing factor sequence.

[0028] Optionally, the step of dividing each preparation influence factor in the preparation influence factor sequence into a factor gradient to obtain multiple groups of factor gradient sequences includes:

[0029] Identify the factor value interval and factor value gradient of the preparation impact factor;

[0030] Selecting an impact factor numerical sequence within the factor value interval according to the factor value gradient, and using the impact factor numerical sequence as the factor gradient sequence for preparing the impact factor;

[0031] All factor gradient sequences of prepared influencing factors are summarized to obtain multiple groups of factor gradient sequences.

[0032] Optionally, constructing an initiation factor coordinate system according to the initiation factor gradient sequence set comprises:

[0033] Constructing an original factor coordinate system according to the starting coordinate dimension, wherein the number of coordinate axes of the original factor coordinate system is equal to the starting coordinate dimension;

[0034] Extracting starting factor gradient sequences in sequence from the starting factor gradient sequence set, and extracting original factor coordinate axes in sequence from the original factor coordinate system;

[0035] The original factor coordinate axis is annotated using the starting factor gradient sequence to obtain the starting factor coordinate system.

[0036] Optionally, constructing a multiple tree-like associated coordinate system according to the initial factor coordinate system and the three-dimensional factor coordinate system set includes:

[0037] Extracting a starting factor coordinate point set in the starting factor coordinate system according to the starting factor gradient sequence set;

[0038] Sequentially extracting starting factor coordinate points from the starting factor coordinate point set, and extracting a second three-dimensional factor coordinate system from the three-dimensional factor coordinate system set;

[0039] The starting factor coordinate system and the second three-dimensional factor coordinate system are point-associated by using the starting factor coordinate point to obtain a double tree-like associated coordinate system, wherein the double tree-like associated coordinate system includes 1 starting factor coordinate system, k1 starting factor coordinate points, k1 second three-dimensional factor coordinate systems and k1×k2 second factor coordinate points;

[0040] sequentially extracting a second three-dimensional factor coordinate system from the dual tree-like association coordinate system;

[0041] sequentially extracting second factor coordinate points in the second three-dimensional factor coordinate system, and extracting a third three-dimensional factor coordinate system in the three-dimensional factor coordinate system set;

[0042] The double tree-like associated coordinate system is point-associated with the third three-dimensional factor coordinate system by using the second factor coordinate points to obtain a triple tree-like associated coordinate system, wherein the triple tree-like associated coordinate system includes 1 starting factor coordinate system, k1 starting factor coordinate points, k1 second three-dimensional factor coordinate systems, k1×k2 second factor coordinate points, k1×k2 third three-dimensional factor coordinate systems and k1×k2×k3 third factor coordinate points;

[0043] Obtaining an i-th tree-like associated coordinate system according to the triple tree-like associated coordinate system and the three-dimensional factor coordinate system set, where i>3;

[0044] Identifying the number of three-dimensional factor coordinate system groups of the three-dimensional factor coordinate system set;

[0045] Determine whether i-1 is equal to the number of three-dimensional factor coordinate system groups, where the number of 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 groups, then i is updated with i+1, and the process returns to the above step of obtaining the i-th tree-like associated coordinate system according to the triple tree-like associated 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, a multiple tree-like associated coordinate system is obtained.

[0048] Optionally, extracting factor coordinate association paths in sequence in the multiple tree-like association coordinate system includes:

[0049] Extracting initial factor coordinate points in the multiple tree-like association coordinate system in sequence, and extracting a second factor coordinate point set in the second three-dimensional factor coordinate system;

[0050] Performing path association between the initial factor coordinate point and each second factor coordinate point in the second factor coordinate point set in the multiple tree-like association coordinate system to obtain a first coordinate association path set;

[0051] Sequentially extracting first coordinate association paths from the first coordinate association path set, and extracting a third factor coordinate point set from the third three-dimensional factor coordinate system;

[0052] Performing path association on the first coordinate association path and each third factor coordinate point in the third factor coordinate point set in the multiple tree-like association coordinate system to obtain a second coordinate association path set;

[0053] Acquire the j-1th coordinate association path set according to the second coordinate association path set and the jth three-dimensional factor coordinate system, where j>3;

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

[0055] If j-1 is not equal to n, then j is updated by using j+1, and the process returns to the above step of obtaining the j-1th coordinate association path set according to the second coordinate association path set and the jth three-dimensional factor coordinate system;

[0056] If j-1 is equal to n, the set of associated paths of the nth coordinate is obtained;

[0057] The factor coordinate association paths are sequentially extracted from the nth coordinate association path set.

[0058] Optionally, the step of assigning density to each of the terminating three-dimensional coordinate points in the terminating three-dimensional coordinate point set according to the test block slump set, the test block compressive strength set, and the test block tensile strength set to obtain a slump three-dimensional density body, a compressive three-dimensional density body, and a tensile three-dimensional density body comprises:

[0059] Extracting test block slumps in sequence from the test block slump set, identifying slump coordinate association paths corresponding to the test block slumps, and extracting slump termination coordinate points from the slump coordinate association paths;

[0060] The slump of the test block is used as the slump density of the slump termination coordinate point to obtain a slump three-dimensional density body;

[0061] Extracting the compressive strength of test blocks in sequence from the test block compressive strength set, identifying the compressive coordinate association path corresponding to the compressive strength of the test blocks, and extracting the compressive termination coordinate point from the compressive coordinate association path;

[0062] The compressive strength of the test block is used as the compressive density of the compressive end coordinate point to obtain a compressive three-dimensional density body;

[0063] Extracting the tensile strength of test blocks in sequence from the tensile strength set of the test blocks, identifying the tensile coordinate association path corresponding to the tensile strength of the test blocks, and extracting the tensile termination coordinate point from the tensile coordinate association path;

[0064] The tensile strength of the test block is used as the tensile density of the tensile termination coordinate point to obtain a tensile three-dimensional density body.

[0065] Optionally, selecting a target slump body from the slump three-dimensional density body according to the target slump value interval includes:

[0066] Extracting collapse termination coordinate points in the collapse three-dimensional density body in sequence, and judging whether the collapse strength of the collapse termination coordinate points belongs to the target collapse value interval;

[0067] If the collapse strength of the collapse termination coordinate point belongs to the target collapse value interval, the collapse termination coordinate point is used as the target collapse coordinate point;

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

[0069] Optionally, obtaining the intersection of properties of the target slump body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system includes:

[0070] Extracting the termination property intersection coordinate system in sequence in the multiple tree-like associated coordinate system, wherein the termination property intersection coordinate system is a termination three-dimensional factor coordinate system having a target collapse body, a target compression body and a target tension body;

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

[0072] The coordinate three-dimensional region of the intersection of the coordinate points is identified, and the coordinate three-dimensional region is used as the property intersection group.

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

[0074] A multiple tree-like associated coordinate system construction module is used to obtain a preparation influencing factor sequence, perform factor gradient division on each preparation influencing factor in the preparation influencing factor sequence, and obtain multiple groups of factor gradient sequences, wherein the preparation influencing factor sequence includes: modified carboxylate dosage, 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; using a pre-constructed starting coordinate dimension formula, the starting coordinate dimension is calculated according to the multiple groups of factor gradient sequences, wherein the starting coordinate dimension formula is as follows:

[0075] ω1=mod(y,3)

[0076] Wherein, ω1 represents the starting coordinate dimension, y represents the total number of preparation influencing factors, and mod represents the modulus operator; extract the starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension, remove the starting factor gradient sequence set from the multiple groups of factor gradient sequences, and obtain multiple groups of three-dimensional factor gradient sequence sets; construct a starting factor coordinate system according to the starting factor gradient sequence set, and construct a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets; construct a multiple tree-like associated coordinate system according to the starting factor coordinate system and the three-dimensional factor coordinate system set;

[0077] A property density assignment module is used to extract factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and 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 terminal three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extract a terminal three-dimensional coordinate point set from the terminal three-dimensional factor coordinate system; perform density assignment on each terminal three-dimensional coordinate point in the terminal three-dimensional coordinate point set according to the slump set, the compressive strength set and the tensile strength set of the test block, and obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body;

[0078] The property intersection obtaining module is used to obtain the target collapse value interval, the target compression value interval and the target tensile value interval, select the target collapse body in the collapse three-dimensional density body according to the target collapse value interval; select the target compression body in the compression three-dimensional density body according to the target compression value interval, and select the target tensile body in the tensile three-dimensional density body according to the target tensile value interval; obtain the property intersection of the target collapse body, the target compression body and the target tensile body in the termination three-dimensional factor coordinate system;

[0079] The concrete preparation module is used to receive the target property coordinates selected by the user in the property intersection set, extract the target preparation path of the target property coordinates in the multiple tree-like associated coordinate system; and prepare concrete according to the target preparation path.

[0080] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0081] a memory storing at least one instruction; and

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

[0083] In order to solve the above problems, the present invention also provides a computer-readable storage medium, wherein at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for optimizing concrete properties based on modified carboxylates.

[0084] In order to solve the problems described in the background technology, the present invention first constructs a multiple tree-like associated coordinate system that can comprehensively and intuitively reflect various preparation influencing factors. After the construction of the multiple tree-like associated coordinate system is completed, the factor coordinate associated path is extracted in the multiple tree-like associated coordinate system, and then the concrete test block is prepared according to the factor coordinate associated path, and the properties of the concrete test block are tested, so as to obtain the test block slump set, test block compressive strength set and test block tensile strength set of each factor coordinate associated path, and then the density of each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set is assigned according to the test block slump set, test block compressive strength set and test block tensile strength set, so as to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body. The slump three-dimensional density body, the compression three-dimensional density body and the tensile three-dimensional density body can be used to identify the target slump body, the target compression body and the target tensile body. Since the property requirements of the concrete test block involve various dimensions, such as slump, compressive strength, tensile strength, etc., it is necessary to obtain the property intersection group of the target slump body, the target compression body and the target tensile body in the termination three-dimensional factor coordinate system, and then receive the target property coordinates selected by the user in the property intersection group, and extract the target preparation path of the target property coordinates in the multiple tree-like associated coordinate system. Finally, concrete preparation can be carried out according to the target preparation path. Specifically, when constructing the multiple tree-like associated coordinate system, it is necessary to first obtain the preparation influencing factor sequence , and perform factor gradient division on each preparation influencing factor sequence to obtain multiple groups of factor gradient sequences. Since the starting coordinate dimension is related to the total number of preparation influencing factors, it is necessary to use a pre-constructed starting coordinate dimension formula to calculate the starting coordinate dimension according to the multiple groups of factor gradient sequences, and then extract the starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension. Since a three-dimensional factor coordinate system needs to be constructed, it is necessary to eliminate the starting factor gradient sequence set from the multiple groups of factor gradient sequences to obtain multiple groups of three-dimensional factor gradient sequence sets. At this time, the starting factor coordinate system can be constructed according to the starting factor gradient sequence set, and a three-dimensional factor coordinate system set can be constructed according to the multiple groups of three-dimensional factor gradient sequence sets. , finally, a multiple tree-like associated coordinate system can be constructed according to the starting factor coordinate system and the three-dimensional factor coordinate system set. After obtaining the multiple tree-like associated coordinate system, it is necessary to perform density assignment on the terminating three-dimensional coordinate point in the terminating three-dimensional factor coordinate system, so as to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body. When performing density assignment, since each terminating three-dimensional coordinate point in the terminating three-dimensional factor coordinate system uniquely corresponds to a factor coordinate associated path, density assignment can be performed on each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set according to the test block slump set, test block compressive strength set and test block tensile strength set, so as to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body.The slump, compressive strength and tensile strength of the concrete test block prepared by each factor coordinate association path can be obtained through the slump three-dimensional density body, the compression three-dimensional density body and the tensile three-dimensional density body. At this time, the target slump body, the target compression body and the target tensile body can be selected from the slump three-dimensional density body, the compression three-dimensional density body and the tensile three-dimensional density body according to the target slump value interval, the target compression value interval and the target tensile value interval, and the property intersection body can be obtained. Finally, the property intersection body can be directly used to receive the target property coordinates input by the user, and concrete can be prepared according to the corresponding target preparation path. Therefore, the present invention can solve the problems of incomplete optimization of preparation influencing factors and low degree of optimization of concrete properties in the current process of preparing concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 A schematic diagram of a process for optimizing concrete properties based on modified carboxylates provided in one embodiment of the present invention;

[0086] Figure 2 A functional module diagram of a modified carboxylate-based concrete property optimization system provided in one embodiment of the present invention;

[0087] Figure 3 A schematic diagram of the structure of an electronic device for implementing the modified carboxylate-based concrete property optimization method provided in one embodiment of the present invention.

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

[0089] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0090] The embodiment of the present application provides a method for optimizing concrete properties based on modified carboxylates. The execution subject of the method for optimizing concrete properties based on modified carboxylates includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. 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 can 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, etc.

[0091] Reference Figure 1 FIG. 1 is a flow chart of 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 a preparation influence factor sequence, perform factor gradient division on each preparation influence factor in the preparation influence factor sequence, and obtain multiple groups of factor gradient sequences.

[0093] It is understandable that the preparation influencing factor sequence refers to the sequence composed of preparation influencing factors, and the preparation influencing factors can be: modified carboxylate dosage, 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 preparation influencing factors may not be limited to the above range, and may also include the frequency of mixing water addition, preparation humidity, solidification temperature, modified water-reducing agent category, length of hydrophilic long side chain introduced in modified water-reducing agent, etc. The factor gradient division refers to the division of the value range of the preparation influencing factors, and the factor values ​​at the division are arranged in order to obtain the factor gradient sequence. The low-speed stirring time refers to the time of low-speed stirring of cement slurry, and the stirring stop time refers to the interval time of high-speed stirring after completing low-speed stirring, for example: a certain amount of cement, water-reducing agent and water are added to the cement slurry 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 stirred slurry. The mixing water purity refers to the purity of the water used to mix concrete, and the mixing water amount refers to the mass of the mixing water added.

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

[0095] In an embodiment of the present invention, the step of obtaining and preparing an impact factor sequence includes:

[0096] receiving a preparation impact factor set, and extracting preparation impact factors in sequence from the preparation impact factor set;

[0097] Obtain the factor value interval and factor value gradient of the preparation influencing factor, and use the following formula to calculate the number of factor values ​​according to the factor value interval and factor value gradient:

[0098]

[0099] Among them, γ i represents the number of factor values ​​of the i-th preparation influencing factor, μ irepresents the factor value interval of the i-th preparation influencing factor, τ i represents the factor value gradient of the i-th preparation influencing factor, [] represents the rounding symbol;

[0100] The preparation influencing factors are sorted from small to large according to the number of factor values ​​to obtain the preparation influencing factor sequence.

[0101] It can be understood that the preparation influencing factor set refers to the set of preparation influencing factors, and the factor value interval refers to the value range of the preparation influencing factor. For example, when the preparation influencing factor is the dosage of modified water-reducing agent, the factor value interval can be 0.5%-2.0%. The factor value gradient refers to the value interval of the preparation influencing factor. For example, when the factor value gradient is 0.2%, the influencing factor value 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 the low-speed stirring time is 10, the number of factor values ​​for the low-speed stirring speed is 12, the number of factor values ​​for the low-speed stirring temperature is 11, the number of factor values ​​for the stirring stop time is 7, the number of factor values ​​for the high-speed stirring time is 6, the number of factor values ​​for the high-speed stirring speed is 15, the number of factor values ​​for the high-speed stirring temperature is 20, the number of factor values ​​for the mixing water purity is 16, the number of factor values ​​for the cement strength is 10, and the number of factor values ​​for the mixing water amount is 19, the preparation influencing factor sequence 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 amount, and high-speed stirring temperature.

[0102] In the embodiment of the present invention, the factor gradient division is performed on each preparation influence factor in the preparation influence factor sequence to obtain multiple groups of factor gradient sequences, including:

[0103] Identify the factor value interval and factor value gradient of the preparation impact factor;

[0104] Selecting an impact factor numerical sequence within the factor value interval according to the factor value gradient, and using the impact factor numerical sequence as the factor gradient sequence for preparing the impact factor;

[0105] All factor gradient sequences of prepared influencing factors are summarized to obtain multiple groups of factor gradient sequences.

[0106] S2. Using a pre-constructed starting coordinate dimension formula, calculate the starting coordinate dimension according to the multiple groups of factor gradient sequences.

[0107] It can be explained that the starting coordinate dimension refers to the number of coordinate axes of the starting factor coordinate system. The starting factor coordinate system refers to the first coordinate system constructed according to the multiple groups of factor gradient sequences.

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

[0109] ω1=mod(y,3)

[0110] Among them, ω1 represents the starting coordinate dimension, y represents the total number of preparation impact factors, and mod represents the modulo operator.

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

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

[0113] Explainably, the initial factor gradient sequence set refers to the factor gradient sequence set of the preparation influencing factors corresponding to each coordinate axis in the initial factor coordinate system. For example, when the preparation influencing factor sequence 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 gradient sequence set can be high-speed stirring time: 1min, 1.5min, 2min, 2.5min, 3min, 3.5min; stirring stop time: 2.5min, 3.5min, 4.5min, 5.5min, 6.5min, 7.5min, 8.5min, at this time, the initial factor coordinate system has two coordinate axes, one coordinate axis is high-speed stirring time, and the other coordinate axis is stirring stop time. The multiple sets of three-dimensional factor gradient sequence sets refer to multiple sets of factor gradient sequences used to construct three coordinate axes after removing the initial factor gradient sequence set. The multiple groups of three-dimensional factor gradient sequence sets 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, high-speed mixing temperature, among which the three factor gradient sequences corresponding to the modified water-reducing agent dosage, low-speed mixing time, and cement strength are a group of three-dimensional factor gradient sequence sets, the three factor gradient sequences corresponding to the low-speed mixing temperature, low-speed mixing speed, and high-speed mixing speed are a group of three-dimensional factor gradient sequence sets, and the three factor gradient sequences corresponding to the mixing water purity, mixing water volume, and high-speed mixing temperature are a group of three-dimensional factor gradient sequence sets.

[0114] S4. constructing a starting factor coordinate system according to the starting factor gradient sequence set, and constructing a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets.

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

[0116] In an embodiment of the present invention, constructing a starting factor coordinate system according to the starting factor gradient sequence set includes:

[0117] Constructing an original factor coordinate system according to the starting coordinate dimension, wherein the number of coordinate axes of the original factor coordinate system is equal to the starting coordinate dimension;

[0118] Extracting starting factor gradient sequences in sequence from the starting factor gradient sequence set, and extracting original factor coordinate axes in sequence from the original factor coordinate system;

[0119] The original factor coordinate axis is annotated using the starting factor gradient sequence to obtain the starting factor coordinate system.

[0120] It can be understood that the original factor coordinate system refers to a coordinate system without coordinate axis numerical annotation. When the starting coordinate dimension is 2, the original factor coordinate system has two coordinate axes, namely the high-speed stirring time length coordinate axis and the stirring stop time length coordinate axis. After the coordinate annotation is performed, the first coordinate axis of the starting factor coordinate system can be the high-speed stirring time length axis, and the coordinate annotation points of this axis can be 1min, 1.5min, 2min, 2.5min, 3min, 3.5min, and the second coordinate axis can be the stirring stop time, and the coordinate annotation points of this axis can be 2.5min, 3.5min, 4.5min, 5.5min, 6.5min, 7.5min, 8.5min.

[0121] S5. Construct a multiple tree-like associated coordinate system according to the initial factor coordinate system and the three-dimensional factor coordinate system set.

[0122] It can be explained that the multiple tree-like associated coordinate system refers to the tree-like multiple coordinate system obtained after the initial factor coordinate system and the three-dimensional factor coordinate system set are connected by point system, as described below for details.

[0123] In an embodiment of the present 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] Extracting a starting factor coordinate point set in the starting factor coordinate system according to the starting factor gradient sequence set;

[0125] Sequentially extracting starting factor coordinate points from the starting factor coordinate point set, and extracting a second three-dimensional factor coordinate system from the three-dimensional factor coordinate system set;

[0126] The starting factor coordinate system and the second three-dimensional factor coordinate system are point-associated by using the starting factor coordinate point to obtain a double tree-like associated coordinate system, wherein the double tree-like associated coordinate system includes 1 starting factor coordinate system, k1 starting factor coordinate points, k1 second three-dimensional factor coordinate systems and k1×k2 second factor coordinate points;

[0127] sequentially extracting a second three-dimensional factor coordinate system from the dual tree-like association coordinate system;

[0128] sequentially extracting second factor coordinate points in the second three-dimensional factor coordinate system, and extracting a third three-dimensional factor coordinate system in the three-dimensional factor coordinate system set;

[0129] The double tree-like associated coordinate system is point-associated with the third three-dimensional factor coordinate system by using the second factor coordinate points to obtain a triple tree-like associated coordinate system, wherein the triple tree-like associated coordinate system includes 1 starting factor coordinate system, k1 starting factor coordinate points, k1 second three-dimensional factor coordinate systems, k1×k2 second factor coordinate points, k1×k2 third three-dimensional factor coordinate systems and k1×k2×k3 third factor coordinate points;

[0130] Obtaining an i-th tree-like associated coordinate system according to the triple tree-like associated coordinate system and the three-dimensional factor coordinate system set, where i>3;

[0131] Identifying the number of three-dimensional factor coordinate system groups of the three-dimensional factor coordinate system set;

[0132] Determine whether i-1 is equal to the number of three-dimensional factor coordinate system groups, where the number of 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 groups, then i is updated with i+1, and the process returns to the above step of obtaining the i-th tree-like associated coordinate system according to the triple tree-like associated 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, a multiple tree-like associated coordinate system is obtained.

[0135] It can be understood that the starting factor coordinate point set refers to the set of coordinate points extracted in the starting factor coordinate system, for example: when the starting factor coordinate point set is high-speed stirring time: 1min, 1.5min, 2min, 2.5min, 3min, 3.5min; stirring stop time: 2.5min, 3.5min, 4.5min, 5.5min, 6.5min, 7.5min, 8.5min, and the x-axis of the starting factor coordinate system is the long axis during high-speed stirring, and the y-axis is the long axis when stirring stops, the starting factor coordinate point 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 three-dimensional factor coordinate system set. The point system connection refers to the process of associating and connecting the coordinate points of the previous coordinate system in the starting factor coordinate system and the three-dimensional factor coordinate system set with the latter coordinate system. The dual tree-like associated coordinate system refers to a tree-like coordinate system obtained by connecting the initial factor coordinate system with the second three-dimensional factor coordinate 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 with the second three-dimensional factor coordinate system, (1, 3.5) can be connected with the second three-dimensional factor coordinate system, and (1, 4.5) can also be connected with the second three-dimensional factor coordinate system. All the initial factor coordinate points in the initial factor coordinate point set need to be connected with the second three-dimensional factor coordinate system. Similarly, after completing the point connection between the initial factor coordinate system and the second three-dimensional factor coordinate system, the dual tree-like associated coordinate system will be obtained. The dual tree-like associated coordinate system should include 1 initial factor coordinate system and k1 initial factor coordinate points. When the initial factor coordinate point set is high-speed stirring time: 1min, 1.5min, 2min, 2.5min, 3min, 3.5min; stirring stop time: 2.5min, 3.5min, 4.5min, 5.5min, 6.5min, 7.5min, 8.5min, k1 is equal to 42. These 42 initial factor coordinate points will continue to be connected to 42 second three-dimensional factor coordinate systems respectively, so they include 42 second three-dimensional factor coordinate systems. When there are k2 second factor coordinate points in the second three-dimensional factor coordinate system (which can be the modified water-reducing agent dosage, low-speed stirring time, and cement strength construction), there will be k1×k2 second factor coordinate points in the dual tree-like associated coordinate system, and a dual tree-like associated coordinate system will be obtained.

[0136] It can be explained that the third three-dimensional factor coordinate system refers to the third three-dimensional factor coordinate system in the three-dimensional factor coordinate system set. The point system connection method of the third three-dimensional factor coordinate system and the dual tree-like associated coordinate system is similar to the point system connection method of the second three-dimensional factor coordinate system and the initial factor coordinate system, that is, first extract the second factor coordinate points in the dual tree-like associated coordinate system in sequence (first extract the second three-dimensional factor coordinate system in sequence in the dual tree-like associated coordinate system, and then extract the second factor coordinate points in sequence in the second three-dimensional factor coordinate system, and k1×k2 points can be extracted), and then the second factor coordinate points are connected with the third three-dimensional factor coordinate system (one-to-one corresponding connection) to obtain a triple tree-like associated coordinate system. The triple tree-like associated coordinate system includes the dual tree-like associated 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-fold tree-like associated coordinate system is the same as the method for obtaining the double tree-like associated coordinate system and the triple tree-like associated coordinate system, which will not be repeated here. When i is equal to the number of three-dimensional factor coordinate system groups, a multiple tree-like associated coordinate system is obtained. When the preparation influencing factor sequence 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 is equal to 4, it indicates that a quadruple tree-like associated coordinate system is obtained, and the multiple tree-like associated coordinate system is obtained at this time.

[0138] S6. Extracting factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and preparing concrete test blocks according to the factor coordinate association paths.

[0139] It can be understood that the factor coordinate association path refers to the coordinate path obtained by connecting the initial factor coordinate system and the initial factor coordinate point, the second factor coordinate point, and the nth factor coordinate point (belonging to the nth three-dimensional factor coordinate system) of each three-dimensional factor coordinate system set in the multiple tree-like association coordinate system. The concrete test block refers to the concrete block used for testing.

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

[0141] Extracting initial factor coordinate points in the multiple tree-like association coordinate system in sequence, and extracting a second factor coordinate point set in the second three-dimensional factor coordinate system;

[0142] Performing path association between the initial factor coordinate point and each second factor coordinate point in the second factor coordinate point set in the multiple tree-like association coordinate system to obtain a first coordinate association path set;

[0143] Sequentially extracting first coordinate association paths from the first coordinate association path set, and extracting a third factor coordinate point set from the third three-dimensional factor coordinate system;

[0144] Performing path association on the first coordinate association path and each third factor coordinate point in the third factor coordinate point set in the multiple tree-like association coordinate system to obtain a second coordinate association path set;

[0145] Acquire the j-1th coordinate association path set according to the second coordinate association path set and the jth three-dimensional factor coordinate system, where j>3;

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

[0147] If j-1 is not equal to n, then j is updated by using j+1, and the process returns to the above step of obtaining the j-1th coordinate association path set according to the second coordinate association path set and the jth three-dimensional factor coordinate system;

[0148] If j-1 is equal to n, the set of associated paths of the nth coordinate is obtained;

[0149] The factor coordinate association paths are sequentially extracted from the nth coordinate association path set.

[0150] It can be understood that the path association refers to the path connection of the starting factor coordinate point in the previous coordinate system (starting factor coordinate system or three-dimensional factor coordinate system) in the multiple tree-like associated 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 association path set (k1×k2) obtained by path connection of the starting factor coordinate point with each second factor coordinate point in the corresponding second three-dimensional factor coordinate system in the multiple tree-like associated coordinate system. The second coordinate association path set refers to the association path set obtained by path association of the first coordinate association path and each third factor coordinate point in the third factor coordinate point set.

[0151] For example, when the starting factor coordinate point set is 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, there are 42 starting factor coordinate points in the starting 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 multiple tree When constructing factor coordinate association paths in a multi-tree association coordinate system, first extract the starting factor coordinate points in sequence from the 42 starting factor coordinate points. Since there are 42 second three-dimensional factor coordinate systems corresponding to the 42 starting factor coordinate points in the multi-tree association coordinate system, the starting factor coordinate points and the second three-dimensional factor coordinate systems have a one-to-one correspondence. Therefore, the second factor coordinate points can be extracted in sequence from the second three-dimensional factor coordinate system corresponding to the starting factor coordinate points, thereby obtaining 56 first coordinate association paths corresponding to the starting factor coordinate points. Since there are 42 starting factor coordinate points, there are 42×56 first coordinate association paths. When j-1 is equal to n, it means that the construction of the nth coordinate association path set has been completed, and it is only necessary to extract the coordinate association paths in sequence. The method for obtaining the j-1th coordinate association path set is similar to the method for obtaining the first coordinate association path set and the second coordinate association path set, which will not be repeated here.

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

[0153] S7. Testing the test block slump, test block compressive strength and test block tensile strength of the concrete test block to obtain a test block slump set, a test block compressive strength set and a test block tensile strength set.

[0154] It can be understood that the test block slump refers to the concrete slump of the concrete test block, the test block compressive strength refers to the compressive strength of the concrete test block, and the test block tensile strength refers to the tensile strength of the concrete test block. When the preparation influencing factors are: modified carboxylate dosage, 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, and the number of factor values ​​of high-speed stirring time is 6, the number of factor values ​​of stirring stop time is 7, the number of factor values ​​of modified water reducer dosage is 8, the number of factor values ​​of low-speed stirring time is 10, the number of factor values ​​of cement strength is 10, the number of factor values ​​of low-speed stirring temperature is 11, the number of factor values ​​of low-speed stirring speed is 12, the number of factor values ​​of high-speed stirring speed is 15, the number of factor values ​​of mixing water purity is 16, the number of factor values ​​of mixing water volume is 19, and the number of factor values ​​of high-speed stirring temperature is 20, the number of test blocks of the concrete test blocks can reach 6*7*8*10*10*11*12* 15*16*19*20. Since the number of test blocks is too large, the present invention can compress the number of factor values ​​of high-speed stirring time to 1, the number of factor values ​​of stirring stop time to 1, the number of factor values ​​of modified water-reducing agent dosage to 2, the number of factor values ​​of low-speed stirring time to 2, the number of factor values ​​of cement strength to 2, the number of factor values ​​of low-speed stirring temperature to 2, the number of factor values ​​of low-speed stirring speed to 2, the number of factor values ​​of high-speed stirring speed to 2, the number of factor values ​​of mixing water purity to 2, the number of factor values ​​of mixing water amount to 2, and the number of factor values ​​of high-speed stirring temperature to 3. At this time, the number of concrete test blocks can reach 1*1*2*2*2*2*2*2*2*2*2*3. At the same time, the purpose of reducing the number of concrete test blocks can be achieved by reducing the number of preparation influencing factors. The number of test block slumps, the number of test block compressive strengths and the number of test block tensile strengths in the test block slump set, the test block compressive strength set and the test block tensile strength set are equal, and are all equal to the number of concrete test blocks.

[0155] Furthermore, other properties of the concrete test block may also be tested.

[0156] S8. Extracting a termination three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extracting a termination three-dimensional coordinate point set from the termination three-dimensional factor coordinate system.

[0157] It can be understood that the termination three-dimensional factor coordinate system refers to the last three-dimensional factor coordinate system in the three-dimensional factor coordinate system set. The termination three-dimensional coordinate point set refers to the coordinate point set in the termination three-dimensional factor coordinate system.

[0158] S9. Assign density to each of the termination three-dimensional coordinate points in the termination three-dimensional coordinate point set according to the test block slump set, the test block compressive strength set and the test block tensile strength set to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body.

[0159] It can be understood that the density assignment refers to marking or assigning the slump, compressive strength and tensile strength of the test block to the termination three-dimensional coordinate point according to the test block slump set, test block compressive strength set and test block tensile strength set, and using the marked or assigned test block slump, test block compressive strength and test block tensile strength as the slump density, compressive density and tensile density of the termination three-dimensional coordinate point. The slump three-dimensional density body, compressive three-dimensional density body and tensile three-dimensional density body refer to the three-dimensional regional body constructed by the termination three-dimensional coordinate point after completing the marking or assignment of the test block slump set, test block compressive strength set and test block tensile strength set. When the number of factor values ​​of high-speed mixing time is compressed to 1, the number of factor values ​​of mixing stop time is compressed to 1, the number of factor values ​​of modified water-reducing agent dosage is compressed to 2, the number of factor values ​​of low-speed mixing time is compressed to 2, the number of factor values ​​of cement strength is compressed to 2, the number of factor values ​​of low-speed mixing temperature is compressed to 2, the number of factor values ​​of low-speed mixing speed is compressed to 2, the number of factor values ​​of high-speed mixing speed is compressed to 2, the number of factor values ​​of mixing water purity is compressed to 2, the number of factor values ​​of mixing water amount is compressed to 2, and the number of factor values ​​of high-speed mixing temperature is compressed to 3, the number of termination three-dimensional factor coordinate systems is 1*1*2*2*2*2*2*2*2, and each termination three-dimensional factor coordinate system has a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body.

[0160] In an embodiment of the present invention, the density of each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set is assigned according to the test block slump set, the test block compressive strength set, and the test block tensile strength set to obtain a slump three-dimensional density body, a compressive three-dimensional density body, and a tensile three-dimensional density body, including:

[0161] Extracting test block slumps in sequence from the test block slump set, identifying slump coordinate association paths corresponding to the test block slumps, and extracting slump termination coordinate points from the slump coordinate association paths;

[0162] The slump of the test block is used as the slump density of the slump termination coordinate point to obtain a slump three-dimensional density body;

[0163] Extracting the compressive strength of test blocks in sequence from the test block compressive strength set, identifying the compressive coordinate association path corresponding to the compressive strength of the test blocks, and extracting the compressive termination coordinate point from the compressive coordinate association path;

[0164] The compressive strength of the test block is used as the compressive density of the compressive end coordinate point to obtain a compressive three-dimensional density body;

[0165] Extracting the tensile strength of test blocks in sequence from the tensile strength set of the test blocks, identifying the tensile coordinate association path corresponding to the tensile strength of the test blocks, and extracting the tensile termination coordinate point from the tensile coordinate association path;

[0166] The tensile strength of the test block is used as the tensile density of the tensile termination coordinate point to obtain a tensile three-dimensional density body.

[0167] It can be understood that the slump coordinate association path refers to the factor coordinate association path corresponding to the slump of the test block. The slump termination coordinate point refers to the last coordinate point in the slump coordinate association path that is 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 slump three-dimensional density bodies. The same is true for the compressive coordinate association path, the compressive three-dimensional density body, the tensile coordinate association path and the tensile three-dimensional density body, which will not be repeated here.

[0168] S10, obtaining a target collapse value interval, a target compression value interval and a target tensile value interval, and selecting a target collapse body from the collapse three-dimensional density body according to the target collapse value interval.

[0169] It can be understood that the target slump value range, target compressive value range and target tensile value range refer to the slump value range that meets the slump requirements, the compressive value range that meets the compressive strength requirements and the tensile value range that meets the tensile strength requirements input by the user. For example: the target slump value range can be (180mm, 220mm), the target compressive value range can be (15MPa, 35MPa), and the target tensile value range can be (1.54N / mm 2 , 2.01N / mm 2 ). The target collapse volume refers to a three-dimensional region formed by collapse termination coordinate points in the target collapse value interval.

[0170] In the embodiment of the present invention, the step of selecting a target slump body from the slump three-dimensional density body according to the target slump value interval includes:

[0171] Extracting collapse termination coordinate points in the collapse three-dimensional density body in sequence, and judging whether the collapse strength of the collapse termination coordinate points belongs to the target collapse value interval;

[0172] If the collapse strength of the collapse termination coordinate point belongs to the target collapse value interval, the collapse termination coordinate point is used as the target collapse coordinate point;

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

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

[0175] It can be explained that the target compression body refers to a three-dimensional regional body formed by compression termination coordinate points in the target compression value interval. The target tensile body refers to a three-dimensional regional body formed by tensile termination coordinate points in the target tensile value interval. The method for obtaining the target compression body and the target tensile body is the same as the method for obtaining the target collapse body, which will not be repeated here.

[0176] S12, obtaining the intersection of the properties of the target collapse body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system.

[0177] It can be understood that the property intersection refers to the coordinate three-dimensional area formed by the termination three-dimensional coordinate points belonging to the target slump body, the target compressive body and the target tensile body in the termination three-dimensional factor coordinate system.

[0178] In the embodiment of the present invention, the step of obtaining the intersection of the properties of the target collapse body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system includes:

[0179] Extracting the termination property intersection coordinate system in sequence in the multiple tree-like associated coordinate system, wherein the termination property intersection coordinate system is a termination three-dimensional factor coordinate system having a target collapse body, a target compression body and a target tension body;

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

[0181] The coordinate three-dimensional region of the intersection of the coordinate points is identified, and the coordinate three-dimensional region is used as the property intersection group.

[0182] It can be understood that the intersection of coordinate points refers to a set of terminal three-dimensional coordinate points that belong to the target collapse body, the target compression body and the target tension body at the same time in the same terminal property intersection coordinate system.

[0183] S13, receiving target trait coordinates selected by the user from the trait intersection set, and extracting a target preparation path of the target trait coordinates in the multiple tree-like associated coordinate system.

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

[0185] S14, preparing concrete according to the target preparation path, and completing the optimization of concrete properties based on modified carboxylates.

[0186] It is understandable that after the target preparation path is obtained, concrete preparation can be performed 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] In order to solve the problems described in the background technology, the present invention first constructs a multiple tree-like associated coordinate system that can comprehensively and intuitively reflect various preparation influencing factors. After the construction of the multiple tree-like associated coordinate system is completed, the factor coordinate associated path is extracted in the multiple tree-like associated coordinate system, and then the concrete test block is prepared according to the factor coordinate associated path, and the properties of the concrete test block are tested, so as to obtain the test block slump set, test block compressive strength set and test block tensile strength set of each factor coordinate associated path, and then the density of each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set is assigned according to the test block slump set, test block compressive strength set and test block tensile strength set, so as to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body. The slump three-dimensional density body, the compression three-dimensional density body and the tensile three-dimensional density body can be used to identify the target slump body, the target compression body and the target tensile body. Since the property requirements of the concrete test block involve various dimensions, such as slump, compressive strength, tensile strength, etc., it is necessary to obtain the property intersection group of the target slump body, the target compression body and the target tensile body in the termination three-dimensional factor coordinate system, and then receive the target property coordinates selected by the user in the property intersection group, and extract the target preparation path of the target property coordinates in the multiple tree-like associated coordinate system. Finally, concrete preparation can be carried out according to the target preparation path. Specifically, when constructing the multiple tree-like associated coordinate system, it is necessary to first obtain the preparation influencing factor sequence , and perform factor gradient division on each preparation influencing factor sequence to obtain multiple groups of factor gradient sequences. Since the starting coordinate dimension is related to the total number of preparation influencing factors, it is necessary to use a pre-constructed starting coordinate dimension formula to calculate the starting coordinate dimension according to the multiple groups of factor gradient sequences, and then extract the starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension. Since a three-dimensional factor coordinate system needs to be constructed, it is necessary to eliminate the starting factor gradient sequence set from the multiple groups of factor gradient sequences to obtain multiple groups of three-dimensional factor gradient sequence sets. At this time, the starting factor coordinate system can be constructed according to the starting factor gradient sequence set, and a three-dimensional factor coordinate system set can be constructed according to the multiple groups of three-dimensional factor gradient sequence sets. , finally, a multiple tree-like associated coordinate system can be constructed according to the starting factor coordinate system and the three-dimensional factor coordinate system set. After obtaining the multiple tree-like associated coordinate system, it is necessary to perform density assignment on the terminating three-dimensional coordinate point in the terminating three-dimensional factor coordinate system, so as to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body. When performing density assignment, since each terminating three-dimensional coordinate point in the terminating three-dimensional factor coordinate system uniquely corresponds to a factor coordinate associated path, density assignment can be performed on each terminating three-dimensional coordinate point in the terminating three-dimensional coordinate point set according to the test block slump set, test block compressive strength set and test block tensile strength set, so as to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body.The slump, compressive strength and tensile strength of the concrete test block prepared by each factor coordinate association path can be obtained through the slump three-dimensional density body, the compression three-dimensional density body and the tensile three-dimensional density body. At this time, the target slump body, the target compression body and the target tensile body can be selected from the slump three-dimensional density body, the compression three-dimensional density body and the tensile three-dimensional density body according to the target slump value interval, the target compression value interval and the target tensile value interval, and the property intersection body can be obtained. Finally, the property intersection body can be directly used to receive the target property coordinates input by the user, and concrete can be prepared according to the corresponding target preparation path. Therefore, the present invention can solve the problems of incomplete optimization of preparation influencing factors and low degree of optimization of concrete properties in the current process of preparing concrete.

[0188] like Figure 2 , which is a functional module diagram of a concrete property optimization system based on modified carboxylates provided in one embodiment of the present invention.

[0189] The modified carboxylate-based concrete property optimization system 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the modified carboxylate-based concrete property optimization system 100 can include a multiple tree-like associated coordinate system construction module 101, a property density assignment module 102, a property intersection set obtaining module 103 and a concrete preparation module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0190] The multiple tree-like associated coordinate system construction module 101 is used to obtain a preparation influencing factor sequence, perform factor gradient division on each preparation influencing factor in the preparation influencing factor sequence, and obtain multiple groups of factor gradient sequences, wherein the preparation influencing factor sequence includes: modified carboxylate dosage, 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; using a pre-constructed starting coordinate dimension formula, the starting coordinate dimension is calculated according to the multiple groups of factor gradient sequences, wherein the starting coordinate dimension formula is as follows:

[0191] ω1=mod(y,3)

[0192] Wherein, ω1 represents the starting coordinate dimension, y represents the total number of preparation influencing factors, and mod represents the modulus operator; extract the starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension, remove the starting factor gradient sequence set from the multiple groups of factor gradient sequences, and obtain multiple groups of three-dimensional factor gradient sequence sets; construct a starting factor coordinate system according to the starting factor gradient sequence set, and construct a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets; construct a multiple tree-like associated coordinate system according to the starting factor coordinate system and the three-dimensional factor coordinate system set;

[0193] The property density assignment module 102 is used to extract factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and 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 terminal three-dimensional factor coordinate system from the three-dimensional factor coordinate system, and extract a terminal three-dimensional coordinate point set from the terminal three-dimensional factor coordinate system; perform density assignment on each terminal three-dimensional coordinate point in the terminal three-dimensional coordinate point set according to the slump set, the compressive strength set and the tensile strength set of the test block, and obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body;

[0194] The property intersection obtaining module 103 is used to obtain a target collapse value interval, a target compression value interval and a target tensile value interval, select a target collapse body from the collapse three-dimensional density body according to the target collapse value interval; select a target compression body from the compression three-dimensional density body according to the target compression value interval, and select a target tensile body from the tensile three-dimensional density body according to the target tensile value interval; obtain the property intersection of the target collapse body, the target compression body and the target tensile body in the termination three-dimensional factor coordinate system;

[0195] The concrete preparation module 104 is used to receive the target property coordinates selected by the user from the property intersection set, extract the target preparation path of the target property coordinates in the multiple 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 in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means as the method for optimizing concrete properties based on modified carboxylates described in the specification and the like can produce the same technical effects, which will not be repeated here.

[0197] like Figure 3, which is a schematic diagram of the structure of an electronic device for implementing a method for optimizing concrete properties based on modified carboxylates provided by 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 program for optimizing concrete properties based on modified carboxylates.

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

[0200] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as a modified carboxylate-based concrete property optimization method program, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

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

[0202] Figure 3 Only an electronic device with components is shown, and 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 in the figure, or combine certain components, or arrange the components differently.

[0203] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated 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 generally used to establish a communication connection 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 interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0206] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0207] The modified carboxylate-based concrete property optimization method program stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0208] Obtaining a preparation influencing factor sequence, performing factor gradient division on each preparation influencing factor in the preparation influencing factor sequence, and obtaining multiple groups of factor gradient sequences, wherein the preparation influencing factor sequence includes: modified carboxylate dosage, 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 amount;

[0209] The pre-constructed starting coordinate dimension formula is used to calculate the starting coordinate dimension according to the multiple groups of factor gradient sequences, wherein the starting coordinate dimension formula is as follows:

[0210] ω1=mod(y,3)

[0211] Among them, ω1 represents the starting coordinate dimension, y represents the total number of preparation impact factors, and mod represents the modulus operator;

[0212] Extracting a starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension, and eliminating the starting factor gradient sequence set from the multiple groups of factor gradient sequences to obtain multiple groups of three-dimensional factor gradient sequence sets;

[0213] Constructing a starting factor coordinate system according to the starting factor gradient sequence set, and constructing a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets;

[0214] Constructing a multiple tree-like associated coordinate system according to the initial factor coordinate system and the three-dimensional factor coordinate system set;

[0215] extracting factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and preparing concrete test blocks according to the factor coordinate association paths;

[0216] Testing the test block slump, test block compressive strength and test block tensile strength of the concrete test block to obtain a test block slump set, a test block compressive strength set and a test block tensile strength set;

[0217] Extracting a termination three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extracting a termination three-dimensional coordinate point set from the termination three-dimensional factor coordinate system;

[0218] According to the test block slump set, the test block compressive strength set and the test block tensile strength set, density is assigned to each of the termination three-dimensional coordinate points in the termination three-dimensional coordinate point set to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body;

[0219] Obtaining a target collapse value interval, a target compression value interval, and a target tensile value interval, and selecting a target collapse body from the collapse three-dimensional density body according to the target collapse value interval;

[0220] Select a target compression body from the compression three-dimensional density body according to the target compression value range, and select a target tensile body from the tensile three-dimensional density body according to the target tensile value range;

[0221] Obtain the intersection of the properties of the target collapse body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system;

[0222] receiving target trait coordinates selected by a user in the trait intersection set, and extracting a target preparation path of the target trait coordinates in the multiple tree-like associated coordinate system;

[0223] Concrete is prepared according to the target preparation path to achieve concrete property optimization based on modified carboxylates.

[0224] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0225] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it 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 can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0226] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0227] Obtaining a preparation influencing factor sequence, performing factor gradient division on each preparation influencing factor in the preparation influencing factor sequence, and obtaining multiple groups of factor gradient sequences, wherein the preparation influencing factor sequence includes: modified carboxylate dosage, 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 amount;

[0228] The pre-constructed starting coordinate dimension formula is used to calculate the starting coordinate dimension according to the multiple groups of factor gradient sequences, wherein the starting coordinate dimension formula is as follows:

[0229] ω1=mod(y,3)

[0230] Among them, ω1 represents the starting coordinate dimension, y represents the total number of preparation impact factors, and mod represents the modulus operator;

[0231] Extracting a starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension, and eliminating the starting factor gradient sequence set from the multiple groups of factor gradient sequences to obtain multiple groups of three-dimensional factor gradient sequence sets;

[0232] Constructing a starting factor coordinate system according to the starting factor gradient sequence set, and constructing a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets;

[0233] Constructing a multiple tree-like associated coordinate system according to the initial factor coordinate system and the three-dimensional factor coordinate system set;

[0234] extracting factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and preparing concrete test blocks according to the factor coordinate association paths;

[0235] Testing the test block slump, test block compressive strength and test block tensile strength of the concrete test block to obtain a test block slump set, a test block compressive strength set and a test block tensile strength set;

[0236] Extracting a termination three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extracting a termination three-dimensional coordinate point set from the termination three-dimensional factor coordinate system;

[0237] According to the test block slump set, the test block compressive strength set and the test block tensile strength set, density is assigned to each of the termination three-dimensional coordinate points in the termination three-dimensional coordinate point set to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body;

[0238] Obtaining a target collapse value interval, a target compression value interval, and a target tensile value interval, and selecting a target collapse body from the collapse three-dimensional density body according to the target collapse value interval;

[0239] Select a target compression body from the compression three-dimensional density body according to the target compression value range, and select a target tensile body from the tensile three-dimensional density body according to the target tensile value range;

[0240] Obtain the intersection of the properties of the target collapse body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system;

[0241] receiving target trait coordinates selected by a user in the trait intersection set, and extracting a target preparation path of the target trait coordinates in the multiple tree-like associated coordinate system;

[0242] Concrete is prepared according to the target preparation path to achieve concrete property optimization based on modified carboxylates.

[0243] In the several embodiments provided by the present 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 only illustrative, and actual implementation may have other division methods.

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

[0245] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0246] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, 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] In addition, 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 stated in the system claim can also be implemented by one unit or device through software or hardware. The second and other words are used to indicate names, but not to indicate any particular order.

[0248] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for optimizing concrete properties based on modified carboxylates, characterized in that: The method comprises: Obtaining a preparation influencing factor sequence, performing factor gradient division on each preparation influencing factor in the preparation influencing factor sequence, and obtaining multiple groups of factor gradient sequences, wherein the preparation influencing factor sequence includes: modified carboxylate dosage, 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 amount; The pre-constructed starting coordinate dimension formula is used to calculate the starting coordinate dimension according to the multiple groups of factor gradient sequences, wherein the starting coordinate dimension formula is as follows: ω1=mod(y,3) Among them, ω1 represents the starting coordinate dimension, y represents the total number of preparation impact factors, and mod represents the modulus operator; Extracting a starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension, and eliminating the starting factor gradient sequence set from the multiple groups of factor gradient sequences to obtain multiple groups of three-dimensional factor gradient sequence sets; Constructing a starting factor coordinate system according to the starting factor gradient sequence set, and constructing a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets; Constructing a multiple tree-like associated coordinate system according to the initial factor coordinate system and the three-dimensional factor coordinate system set; extracting factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and preparing concrete test blocks according to the factor coordinate association paths; Testing the test block slump, test block compressive strength and test block tensile strength of the concrete test block to obtain a test block slump set, a test block compressive strength set and a test block tensile strength set; Extracting a termination three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extracting a termination three-dimensional coordinate point set from the termination three-dimensional factor coordinate system; According to the test block slump set, the test block compressive strength set and the test block tensile strength set, density is assigned to each of the termination three-dimensional coordinate points in the termination three-dimensional coordinate point set to obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body; Obtaining a target collapse value interval, a target compression value interval, and a target tensile value interval, and selecting a target collapse body from the collapse three-dimensional density body according to the target collapse value interval; Select a target compression body from the compression three-dimensional density body according to the target compression value range, and select a target tensile body from the tensile three-dimensional density body according to the target tensile value range; Obtain the intersection of the properties of the target collapse body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system; receiving target trait coordinates selected by a user in the trait intersection set, and extracting a target preparation path of the target trait coordinates in the multiple tree-like associated coordinate system; Concrete is prepared according to the target preparation path to achieve concrete property optimization based on modified carboxylates.

2. The method for optimizing concrete properties based on modified carboxylates according to claim 1, characterized in that: The step of obtaining and preparing an impact factor sequence comprises: receiving a preparation impact factor set, and extracting preparation impact factors in sequence from the preparation impact factor set; Obtain the factor value interval and factor value gradient of the preparation influencing factor, and use the following formula to calculate the number of factor values ​​according to the factor value interval and factor value gradient: Among them, γ i represents the number of factor values ​​of the i-th preparation influencing factor, μ i represents the factor value interval of the i-th preparation influencing factor, τ i represents the factor value gradient of the i-th preparation influencing factor, [] represents the rounding symbol; The preparation influencing factors are sorted from small to large according to the number of factor values ​​to obtain the preparation influencing factor sequence.

3. The method for optimizing concrete properties based on modified carboxylates according to claim 2, characterized in that: The step of dividing each preparation influence factor in the preparation influence factor sequence into a factor gradient to obtain multiple groups of factor gradient sequences includes: Identify the factor value interval and factor value gradient of the preparation influencing factor; Selecting an impact factor numerical sequence within the factor value interval according to the factor value gradient, and using the impact factor numerical sequence as the factor gradient sequence for preparing the impact factor; All factor gradient sequences of prepared influencing factors are summarized to obtain multiple groups of factor gradient sequences.

4. The method for optimizing concrete properties based on modified carboxylates according to claim 1, characterized in that: The step of constructing a starting factor coordinate system according to the starting factor gradient sequence set comprises: Constructing an original factor coordinate system according to the starting coordinate dimension, wherein the number of coordinate axes of the original factor coordinate system is equal to the starting coordinate dimension; Extracting starting factor gradient sequences in sequence from the starting factor gradient sequence set, and extracting original factor coordinate axes in sequence from the original factor coordinate system; The original factor coordinate axis is annotated using the starting factor gradient sequence to obtain the starting factor coordinate system.

5. The method for optimizing concrete properties based on modified carboxylates according to claim 4, characterized in that: The step of constructing a multiple tree-like associated coordinate system according to the initial factor coordinate system and the three-dimensional factor coordinate system set includes: Extracting a starting factor coordinate point set in the starting factor coordinate system according to the starting factor gradient sequence set; Sequentially extracting starting factor coordinate points from the starting factor coordinate point set, and extracting a second three-dimensional factor coordinate system from the three-dimensional factor coordinate system set; The starting factor coordinate system and the second three-dimensional factor coordinate system are point-associated by using the starting factor coordinate point to obtain a double tree-like associated coordinate system, wherein the double tree-like associated coordinate system includes 1 starting factor coordinate system, k1 starting factor coordinate points, k1 second three-dimensional factor coordinate systems and k1×k2 second factor coordinate points; sequentially extracting a second three-dimensional factor coordinate system from the dual tree-like association coordinate system; sequentially extracting second factor coordinate points in the second three-dimensional factor coordinate system, and extracting a third three-dimensional factor coordinate system in the three-dimensional factor coordinate system set; The double tree-like associated coordinate system is point-associated with the third three-dimensional factor coordinate system by using the second factor coordinate points to obtain a triple tree-like associated coordinate system, wherein the triple tree-like associated coordinate system includes 1 starting factor coordinate system, k1 starting factor coordinate points, k1 second three-dimensional factor coordinate systems, k1×k2 second factor coordinate points, k1×k2 third three-dimensional factor coordinate systems and k1×k2×k3 third factor coordinate points; Obtaining an i-th tree-like associated coordinate system according to the triple tree-like associated coordinate system and the three-dimensional factor coordinate system set, i>3; Identifying the number of three-dimensional factor coordinate system groups of the three-dimensional factor coordinate system set; Determine whether i-1 is equal to the number of three-dimensional factor coordinate system groups, where the number of three-dimensional factor coordinate system groups is n; If i-1 is not equal to the number of the three-dimensional factor coordinate system groups, then i is updated with i+1, and the process returns to the above step of obtaining the i-th tree-like associated coordinate system according to the triple tree-like associated 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, a multiple tree-like associated coordinate system is obtained.

6. The method for optimizing concrete properties based on modified carboxylates according to claim 5, characterized in that: The step of sequentially extracting factor coordinate association paths in the multiple tree-like association coordinate system includes: Extracting initial factor coordinate points in the multiple tree-like association coordinate system in sequence, and extracting a second factor coordinate point set in the second three-dimensional factor coordinate system; Performing path association between the initial factor coordinate point and each second factor coordinate point in the second factor coordinate point set in the multiple tree-like association coordinate system to obtain a first coordinate association path set; Sequentially extracting first coordinate association paths from the first coordinate association path set, and extracting a third factor coordinate point set from the third three-dimensional factor coordinate system; Performing path association on the first coordinate association path and each third factor coordinate point in the third factor coordinate point set in the multiple tree-like association coordinate system to obtain a second coordinate association path set; Acquire the j-1th coordinate association path set according to the second coordinate association path set and the jth three-dimensional factor coordinate system, where j>3; Determine whether j-1 is equal to n; If j-1 is not equal to n, then j is updated by using j+1, and the process returns to the above step of obtaining the j-1th coordinate association path set according to the second coordinate association path set and the jth three-dimensional factor coordinate system; If j-1 is equal to n, the set of associated paths of the nth coordinate is obtained; The factor coordinate association paths are sequentially extracted from the nth coordinate association path set.

7. The method for optimizing concrete properties based on modified carboxylates according to claim 1, characterized in that: The method of assigning density to each of the terminating three-dimensional coordinate points in the terminating three-dimensional coordinate point set according to the test block slump set, the test block compressive strength set, and the test block tensile strength set to obtain a slump three-dimensional density body, a compressive three-dimensional density body, and a tensile three-dimensional density body includes: Extracting test block slumps in sequence from the test block slump set, identifying slump coordinate association paths corresponding to the test block slumps, and extracting slump termination coordinate points from the slump coordinate association paths; The slump of the test block is used as the slump density of the slump termination coordinate point to obtain a slump three-dimensional density body; Extracting the compressive strength of test blocks in sequence from the test block compressive strength set, identifying the compressive coordinate association path corresponding to the compressive strength of the test blocks, and extracting the compressive termination coordinate point from the compressive coordinate association path; The compressive strength of the test block is used as the compressive density of the compressive end coordinate point to obtain a compressive three-dimensional density body; Extracting the tensile strength of test blocks in sequence from the tensile strength set of the test blocks, identifying the tensile coordinate association path corresponding to the tensile strength of the test blocks, and extracting the tensile termination coordinate point from the tensile coordinate association path; The tensile strength of the test block is used as the tensile density of the tensile termination coordinate point to obtain a tensile three-dimensional density body.

8. The method for optimizing concrete properties based on modified carboxylates according to claim 7, characterized in that: The step of selecting a target slump body from the slump three-dimensional density body according to the target slump value interval comprises: Extracting collapse termination coordinate points in the collapse three-dimensional density body in sequence, and judging whether the collapse strength of the collapse termination coordinate points belongs to the target collapse value interval; If the collapse strength of the collapse termination coordinate point belongs to the target collapse value interval, the collapse termination coordinate point is used as the target collapse coordinate point; All target collapse coordinate points are summarized to obtain a target collapse coordinate point set, a coordinate three-dimensional region of the target collapse coordinate point set in the collapse three-dimensional density body is identified, and the coordinate three-dimensional region is used as a target collapse body.

9. The method for optimizing concrete properties based on modified carboxylates according to claim 8, characterized in that: The step of obtaining the intersection of the properties of the target collapse body, the target compression body and the target tension body in the termination three-dimensional factor coordinate system includes: Extracting the termination property intersection coordinate system in sequence in the multiple tree-like associated coordinate system, wherein the termination property intersection coordinate system is a termination three-dimensional factor coordinate system having a target collapse body, a target compression body and a target tension body; Extracting the intersection of the coordinate points of the target slump body, the target compressive body and the target tensile body in the termination property intersection coordinate system; The coordinate three-dimensional region of the intersection of the coordinate points is identified, and the coordinate three-dimensional region is used as the property intersection group.

10. A concrete property optimization system based on modified carboxylates, characterized in that: The system comprises: A multiple tree-like associated coordinate system construction module is used to obtain a preparation influencing factor sequence, perform factor gradient division on each preparation influencing factor in the preparation influencing factor sequence, and obtain multiple groups of factor gradient sequences, wherein the preparation influencing factor sequence includes: modified carboxylate dosage, 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; using a pre-constructed starting coordinate dimension formula, the starting coordinate dimension is calculated according to the multiple groups of factor gradient sequences, wherein the starting coordinate dimension formula is as follows: ω1=mod(y,3) Wherein, ω1 represents the starting coordinate dimension, y represents the total number of preparation influencing factors, and mod represents the modulus operator; extract the starting factor gradient sequence set from the multiple groups of factor gradient sequences according to the starting coordinate dimension, remove the starting factor gradient sequence set from the multiple groups of factor gradient sequences, and obtain multiple groups of three-dimensional factor gradient sequence sets; construct a starting factor coordinate system according to the starting factor gradient sequence set, and construct a three-dimensional factor coordinate system set according to the multiple groups of three-dimensional factor gradient sequence sets; construct a multiple tree-like associated coordinate system according to the starting factor coordinate system and the three-dimensional factor coordinate system set; A property density assignment module is used to extract factor coordinate association paths in the multiple tree-like association coordinate system in sequence, and 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 terminal three-dimensional factor coordinate system from the three-dimensional factor coordinate system set, and extract a terminal three-dimensional coordinate point set from the terminal three-dimensional factor coordinate system; perform density assignment on each terminal three-dimensional coordinate point in the terminal three-dimensional coordinate point set according to the slump set, the compressive strength set and the tensile strength set of the test block, and obtain a slump three-dimensional density body, a compressive three-dimensional density body and a tensile three-dimensional density body; The property intersection obtaining module is used to obtain the target collapse value interval, the target compression value interval and the target tensile value interval, select the target collapse body in the collapse three-dimensional density body according to the target collapse value interval; select the target compression body in the compression three-dimensional density body according to the target compression value interval, and select the target tensile body in the tensile three-dimensional density body according to the target tensile value interval; obtain the property intersection of the target collapse body, the target compression body and the target tensile body in the termination three-dimensional factor coordinate system; The concrete preparation module is used to receive the target property coordinates selected by the user in the property intersection set, extract the target preparation path of the target property coordinates in the multiple tree-like associated coordinate system; and prepare concrete according to the target preparation path.

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