JP2019181813A - Concrete manufacturing system and concrete manufacturing method - Google Patents

Abstract

To provide a concrete manufacturing system and a concrete manufacturing method with which concrete that meets quality requirements can be made with high accuracy.SOLUTION: A concrete manufacturing system includes: a detecting device that can detect at least either material information which is the information regarding concrete materials including cement, water and aggregates before being fed into a concrete mixer or mixing state information which is the information regarding mixing state of concrete that is mixed in the concrete mixer; a memory device that memorizes at least either first association information in which the material information is associated with property information that is the information on the properties of concrete, or second association information in which the mixing state information is associated with the property information; and a mixture quantity determination device which, based on at least either the material information or the mixing state information detected by the detecting device and at least either the first association information or the second association information memorized in the memory device, determines the mixture quantity of concrete materials.SELECTED DRAWING: Figure 1

Description

  The present disclosure relates to a concrete manufacturing system and a concrete manufacturing method for manufacturing concrete by kneading a concrete material including cement, water, and aggregate.

  The main materials of concrete are cement, water, fine aggregate and coarse aggregate. In addition, concrete may be mixed with admixtures for the purpose of improving strength and durability, adjusting fluidity and setting speed, and the like. Concrete (fresh concrete) is manufactured by kneading concrete materials such as cement with a mixer. Then, after the production, a quality inspection (a property test) is performed to confirm whether the produced concrete satisfies the required quality. Properties of concrete confirmed by quality inspection include 28-day age strength, which is an index related to the strength of concrete after hardening, slump value, which is an index related to concrete fluidity, durability and air volume, and durability against salt damage. There are chloride ion concentration etc. which are indices about sex.

  The composition of the concrete material is determined so that the concrete meets the desired quality requirements. More specifically, a blending calculation is performed based on a blending design model (mixing design standard) created in advance in a concrete manufacturing factory, and for each of the concrete materials, a blending amount per batch is determined. It is determined. In addition, as described in Patent Document 1, the design blending amount is determined based on the result of the property test of the test material by generating a test material based on the provisional blend determined provisionally. May be determined.

  Patent Document 1 discloses that a computer performs a first blending design based on material information, blending condition information, and target performance information on a plurality of constituent materials of concrete, and a test material based on the first blending design. The computer determines whether or not the performance information of the test material obtained from the performance test of the test material satisfies the target performance information of the concrete, and the performance information of the test material is the target performance information of the concrete Is not satisfied, it is disclosed that the blending condition information is corrected based on the target performance information of the concrete and the performance information of the test material, and the computer performs the second blending design based on the corrected blending condition information. ing.

JP 2004-148752 A

  However, in the apparatus and method described in Patent Document 1, it is necessary to repeatedly test and test the test material in order to determine the concrete composition satisfying the target performance. Costs money. At this time, since concrete, which is industrial waste, is discarded, there is a risk of increasing the environmental load.

  In view of the circumstances described above, an object of at least one embodiment of the present invention is to provide a concrete manufacturing system and a concrete manufacturing method capable of accurately producing concrete satisfying required quality.

(1) A concrete production system according to at least one embodiment of the present invention includes:
A concrete production system for producing concrete by mixing concrete materials including cement, water and aggregate,
At least one detection device capable of detecting at least one of material information relating to the concrete material before being put into the concrete mixer and kneading state information being information relating to the kneading state of the concrete kneaded in the concrete mixer When,
A storage device that stores at least one of first association information that associates the material information with property information that is information on the property of the concrete, and second association information that associates the kneading state information with the property information;
Based on at least one of the material information and the kneading state information detected by the detection device, and at least one of the first association information and the second association information stored in the storage device, the concrete material A blending amount determination device that determines the blending amount of

  According to the configuration of the above (1), the concrete production system is kneaded which is material information which is information on the concrete material before being put into the concrete mixer and information on the kneading state of the concrete kneaded in the concrete mixer. At least one detection device capable of detecting at least one of the state information, the first association information that associates the material information with the property information that is information about the property of the concrete, and the second that associates the kneading state information with the property information. And a storage device that stores at least one of the association information. For this reason, material information and kneading state information can be acquired by the detection device. Further, the storage device can acquire first association information in which material information and property information are associated, and second association information in which kneading state information and property information are associated.

  Then, the concrete manufacturing system determines the blending amount of the concrete material based on the material information and the kneading state information detected by the detection device and the first association information and the second association information stored in the storage device. And a blending amount determination device. Here, the material information, the kneading state information, and the property information have a correlation, and the first association information and the second association information reveal the above-described correlation. For this reason, the concrete manufacturing system can accurately estimate the properties of concrete based on the material information, the kneading state information, and the first association information and the second association information. In addition, since it is possible to accurately estimate the properties of the concrete, the blending of the concrete material corresponding to the target properties of the concrete based on the material information, the kneading state information, the first association information and the second association information. The quantity can be estimated with high accuracy. Therefore, the concrete production system can accurately produce concrete that satisfies the required quality.

  Moreover, the concrete manufacturing system can estimate the property of the concrete under manufacture with high accuracy by acquiring material information and kneading state information by the detection device. For this reason, the concrete production system obtains an appropriate blending of the concrete being manufactured by the blending amount determination device, and inputs the concrete material to apply the blending to the concrete being manufactured. It is possible to suppress variations in quality for each batch and to accurately produce concrete that satisfies the required quality.

(2) In some embodiments, in the configuration of (1) above,
The blending amount determination device is generated by performing machine learning using at least one of the material information and the kneading state information and at least one of the first association information and the second association information as learning data. The blending amount of the concrete material is determined based on a blending design model.

  According to the configuration of (2) above, since the learning data is accumulated, the accuracy of the correlation between the material information and the kneading state information and the first association information and the second association information can be improved. The blending design model generated by performing can accurately estimate the blending amount of the concrete material corresponding to the target property of the concrete.

(3) In some embodiments, in the above configuration (1) or (2),
The at least one detection device includes a photographing device capable of photographing an image of the concrete kneaded in the concrete mixer,
The kneading state information includes at least one of a photographed image of concrete photographed by the photographing device and information acquired from the photographed image.

  According to the configuration of (3) above, the kneading state information includes the captured image of the concrete being kneaded in the concrete mixer and the information acquired from the captured image. The captured image of the concrete and information acquired from the captured image include information on the properties of the concrete such as the strength, fluidity, and air amount of the concrete. For this reason, the property of concrete can be estimated with high accuracy by including information acquired from the captured image of the concrete and the captured image in the kneading state information.

(4) In some embodiments, in the above configurations (1) to (3),
The at least one detection device includes an aggregate information detection device capable of detecting aggregate information which is information related to the aggregate before being put into the concrete mixer,
The material information includes the aggregate information.

  According to the configuration of (4) above, aggregate information, which is information related to aggregate before being put into the concrete mixer, is included as material information. Here, the aggregate information includes information on the properties of the concrete such as the strength, fluidity, and air amount of the concrete. For example, the surface water ratio of aggregates (fine aggregates) is a parameter related to the proportion of water in the concrete material that affects the fluidity of the concrete and the water-cement ratio of the concrete that affects the strength and air volume of the concrete. It is. In other words, the surface water ratio of the aggregate (fine aggregate) includes information on the properties of the concrete such as the strength, fluidity, and air volume of the concrete. In addition, when the aggregate particle size distribution is large, fine aggregates enter between the coarse aggregates, so that the aggregate is denser and the adhesion between the aggregates is smaller than when the aggregate particle size distribution is small. growing. For this reason, when the aggregate particle size distribution is large, the strength of the concrete can be increased even if the amount of cement or water is small compared to the case where the aggregate particle size distribution is small. In other words, the aggregate particle size distribution includes information on the properties of the concrete such as the strength and fluidity of the concrete. For this reason, the property of concrete can be estimated accurately by including aggregate information in material information.

(5) In some embodiments, in the above configurations (1) to (4),
The property information includes at least one of a strength index value that is an index related to the strength of the concrete and a fluidity index value that is an index related to the fluidity of the concrete.

  According to the configuration of the above (5), since the concrete strength index value and the fluidity index value are included as the property information, the concrete manufacturing system includes the material information, the kneading state information, the first association information and the second information. Based on the association information, it is possible to accurately estimate the strength and fluidity of the concrete. Therefore, the concrete manufacturing system can accurately estimate the blending amount of the concrete material corresponding to the target concrete fluidity.

(6) In some embodiments, in the above configurations (1) to (5),
The concrete mixer based on at least one of the material information and the kneading state information detected by the detection device and at least one of the first association information and the second association information stored in the storage device The control apparatus which controls the concrete manufacturing apparatus containing at least is further provided.

  According to the configuration of (6) above, the control device can control the concrete manufacturing apparatus including the concrete mixer. Control of the concrete manufacturing apparatus by the control device includes adjustment of the mixing time of the concrete mixer, for example. Based on the material information, the kneading state information, the first association information and the second association information, the control device controls the concrete manufacturing apparatus so that the concrete corresponds to the target concrete property. Thus, it is possible to suppress variations in quality of each batch of concrete to be manufactured, and it is possible to accurately produce concrete that satisfies the required quality.

(7) In some embodiments, in the configuration of (6) above,
The control device is a control model generated by performing machine learning using at least one of the material information and the kneading state information and at least one of the first association information and the second association information as learning data. Based on the above, the concrete manufacturing apparatus is controlled.

  According to the configuration of (7) above, by accumulating learning data, it is possible to improve the accuracy of the correlation between the material information or the kneading state information and the first association information or the second association information. For this reason, by controlling the concrete manufacturing apparatus using a control model generated by machine learning, it is possible to suppress variations in quality for each batch of concrete to be manufactured and to satisfy the required quality. Can be created with high accuracy.

(8) A method for producing concrete according to at least one embodiment of the present invention includes:
A concrete production method for producing concrete by mixing concrete materials including cement, water and aggregate,
An information acquisition step of acquiring at least one of material information that is information on the concrete material before being put into the concrete mixer and kneading state information that is information on a kneading state of the concrete kneaded in the concrete mixer;
An association information acquisition step of acquiring at least one of first association information that associates the material information with property information that is information on the properties of the concrete, and second association information that associates the kneading state information with the property information. When,
A blending amount determination step of determining a blending amount of the concrete material based on at least one of the material information and the kneading state information, and at least one of the first association information and the second association information. .

  According to the method of (8) above, the concrete production method is material information that is information on the concrete material before being put into the concrete mixer, and kneading that is information on the kneading state of the concrete kneaded in the concrete mixer. Information acquisition step for acquiring at least one of state information, first association information for associating material information and property information, and association information for acquiring at least one of second association information for associating kneading state information and property information An acquisition step. For this reason, in the information acquisition step, material information and kneading state information can be acquired. In the association information acquisition step, first association information in which material information and property information are associated, and second association information in which kneading state information and property information are associated can be acquired.

  And the concrete manufacturing method is based on the material information and kneading state information acquired in the information acquisition step, and the first association information and second association information acquired in the association information acquisition step. A blending amount determining step for determining is further provided. As described above, the material information, the kneading state information, and the property information have a correlation, and the first association information and the second association information reveal the above-described correlation. For this reason, the concrete manufacturing method can accurately estimate the properties of concrete based on the material information, the kneading state information, and the first association information and the second association information. Moreover, since the concrete production method can accurately estimate the properties of the concrete, the concrete properties can be obtained based on the material information, the kneading state information, the first association information, and the second association information. It is possible to accurately estimate the blending amount of the corresponding concrete material. Therefore, the concrete manufacturing method can accurately produce concrete that satisfies the required quality.

  Moreover, the concrete manufacturing method can estimate the property of the concrete under manufacture accurately by acquiring material information and kneading state information in an information acquisition step. For this reason, the concrete manufacturing method calculates | requires the suitable mixing | blending of the concrete under manufacture in a compounding quantity determination step, and adds concrete material in order to apply this mixing | mixing to the concrete under manufacture, and the concrete manufactured Therefore, it is possible to suppress the variation in quality of each batch and to accurately produce concrete that satisfies the required quality.

  According to at least one embodiment of the present invention, a concrete production system and a concrete production method capable of accurately producing concrete satisfying required quality are provided.

It is a schematic structure figure showing roughly the composition of the concrete manufacturing system concerning one embodiment of the present invention. It is a schematic block diagram which shows roughly an example of the electrical constitution of the concrete manufacturing system concerning one Embodiment of this invention. FIG. 3 is a diagram for explaining a property information estimation device and an association information creation device according to an embodiment of the present invention, and FIG. 3A is a diagram illustrating an example of creation of first association information by the association information creation device. FIG. 3B is a diagram illustrating an example of property information estimation by the property information estimation device, and FIG. 3C is a diagram illustrating an example of creation of second association information by the association information creation device. FIG. 3D is a diagram illustrating another example of property information estimation by the property information estimation apparatus. It is a graph which shows an example of the relationship between kneading | mixing state information and property information. FIG. 5A is a diagram for explaining a blending amount determination device according to an embodiment of the present invention, and FIG. 5A is a diagram illustrating an example of determination of a design blending amount by the blending amount determination device, and FIG. (A) is a figure which shows an example of the determination of the correction | amendment design compounding quantity by a compounding quantity determination apparatus. It is a figure for demonstrating the control apparatus in one Embodiment of this invention. It is a flowchart of the manufacturing method of the concrete concerning one Embodiment of this invention.

Hereinafter, some embodiments of the present invention will be described with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, etc. of the components described in the embodiments or shown in the drawings are not intended to limit the scope of the present invention, but are merely illustrative examples. Absent.
For example, expressions expressing relative or absolute arrangements such as “in a certain direction”, “along a certain direction”, “parallel”, “orthogonal”, “center”, “concentric” or “coaxial” are strictly In addition to such an arrangement, it is also possible to represent a state of relative displacement with an angle or a distance such that tolerance or the same function can be obtained.
For example, an expression indicating that things such as “identical”, “equal”, and “homogeneous” are in an equal state not only represents an exactly equal state, but also has a tolerance or a difference that can provide the same function. It also represents the existing state.
For example, expressions representing shapes such as quadrangular shapes and cylindrical shapes represent not only geometrically strict shapes such as quadrangular shapes and cylindrical shapes, but also irregularities and chamfers as long as the same effects can be obtained. A shape including a part or the like is also expressed.
On the other hand, the expressions “comprising”, “comprising”, “comprising”, “including”, or “having” one constituent element are not exclusive expressions for excluding the existence of the other constituent elements.
In addition, about the same structure, the same code | symbol may be attached | subjected and description may be abbreviate | omitted.

  FIG. 1 is a schematic configuration diagram schematically showing a configuration of a concrete manufacturing system according to an embodiment of the present invention. A concrete production system 1 is a system for producing concrete by kneading concrete materials including cement, water, coarse aggregate (aggregate), and fine aggregate (aggregate), and includes a concrete production apparatus 2 and at least Second information configured to be able to transmit and receive data between one detection device 6, a first information processing device 8 configured to be able to control the concrete manufacturing device 2, and the first information processing device 8. And a processing device 9.

  As shown in FIG. 1, the concrete manufacturing apparatus 2 includes a storage container 3 (storage bin) capable of storing concrete material, and a measuring instrument 4 (measurement bin) capable of measuring the concrete material sent from the storage container 3. And a mixer 5 (concrete mixer) capable of kneading the concrete material sent from the measuring instrument 4. The measuring instrument 4 has an open / close valve that can be opened and closed, and is configured to be able to adjust the input amount, which is the amount of concrete material input to the mixer 5.

  As shown in FIG. 1, the concrete manufacturing apparatus 2 includes a plurality of storage containers 3 and measuring instruments 4 that are different for each type of concrete material. The storage container 3 includes a cement storage container 31 capable of storing cement, a water storage container 32 capable of storing water, a coarse aggregate storage container 33 capable of storing coarse aggregate, and a fine aggregate capable of storing fine aggregate. And an aggregate storage container 34. The meter 4 can measure a cement, a cement meter 41 capable of measuring cement, a water meter 42 capable of measuring water, a coarse aggregate meter 43 capable of measuring coarse aggregate, and a fine aggregate. And a fine aggregate measuring instrument 44. In addition, the concrete manufacturing apparatus 2 may be provided with a plurality of storage containers 3 and measuring instruments 4 that are different for each type of concrete material (for example, for each type of cement). Moreover, the measuring instrument 4 can measure the aggregate in which the coarse aggregate and the fine aggregate are mixed instead of the coarse aggregate measurer 43 and the fine aggregate measurer 44, and the input amount of the aggregate. It may include an adjustable aggregate meter.

  As shown in FIG. 1, the mixer 5 includes a stirring shaft 51, a stirring blade 52 that is provided radially outside the stirring shaft 51 and stirs the concrete, and a drive source that includes an electric motor that rotationally drives the stirring shaft 51. 53.

  As shown in FIG. 1, each of the concrete materials is sent from a storage container 3 to a measuring device 4 and weighed. Then, each of the concrete materials measured by the measuring instrument 4 is put into the mixer 5 and kneaded by the stirring blade 52, whereby concrete is manufactured. The manufactured concrete is subjected to a property test (quality inspection) for confirming the properties of the concrete to confirm whether the required quality is satisfied.

  As shown in FIG. 1, the at least one detection device 6 includes a kneading state information acquisition device 60 configured to be able to acquire kneading state information IK that is information related to the kneading state of the concrete being kneaded by the mixer 5; And a material information acquisition device 70 configured to be able to acquire material information IM which is information related to the concrete material.

  In the embodiment shown in FIG. 1, the kneading state information acquisition device 60 includes a first photographing device 61 capable of photographing the concrete kneaded by the mixer 5. The first photographing device 61 photographs a concrete image (captured image CI) kneaded by the mixer 5. An image processing device 89 (see FIG. 2) included in the first information processing device 8 can acquire information IC such as the shape and behavior of concrete by performing image processing such as binarization processing and edge detection on the captured image CI. It is configured. The photographed image CI and the information IC acquired from the photographed image CI include information indicating the flow state of the kneaded concrete, and the information includes the properties of the concrete such as the strength, fluidity, and air amount of the concrete. Contains information about. The kneading state information IK includes the captured image CI and information IC acquired from the captured image CI. The kneading state information acquisition device 60 may not include the first photographing device 61 but may include other devices other than the first photographing device 61, and may acquire the kneading state information IK using the other devices. .

  In the embodiment shown in FIG. 1, the material information acquisition device 70 is a second imaging device capable of imaging at least one of coarse aggregate and fine aggregate among aggregates sent from the storage container 3 to the measuring instrument 4. 71 is included. The second imaging device 71 captures an image of the aggregate (second captured image CA) before being input to the mixer 5. The image processing device 89 performs image processing such as binarization processing and edge detection on the second photographed image CA, so that the surface water ratio of the fine aggregate and the particle size distribution of the aggregate before being input to the mixer 5 are processed. It is configured to be able to acquire aggregate information IA that is information about the aggregate. The aggregate information IA acquired from the second captured image CA and the second captured image CA includes information indicating the state of the aggregate before being put into the mixer 5, and the information includes the strength of the concrete, Contains information on concrete properties such as fluidity and air volume. The material information IM includes the second captured image CA and aggregate information IA acquired from the second captured image CA. In addition, the material information acquisition apparatus 70 may not include the second imaging apparatus 71 but may include an apparatus other than the second imaging apparatus 71, and may acquire the material information IM using the other apparatus.

  FIG. 2 is a schematic block diagram schematically showing an example of an electrical configuration of a concrete manufacturing system according to an embodiment of the present invention. As shown in FIG. 2, the first information processing device 8 is electrically connected to the concrete manufacturing device 2, the kneading state information acquisition device 60, the material information acquisition device 70, and the second information processing device 9. The term “electrically connected” means not only physical connection by wire but also wireless communication, and is configured to be able to transmit and receive signals and data between connected devices. .

  As shown in FIG. 2, the first information processing device 8 includes an input / output device 81 (input / output interface, communication device), a storage device 82 (ROM, RAM), a display device 83 (display), and an arithmetic device 84. Although it is composed of a microcomputer, the general configuration and control will be omitted as appropriate. Each of the input / output device 81, the storage device 82, the display device 83, and the arithmetic device 84 of the first information processing device 8 is electrically connected to the bus 80.

  The input / output device 81 of the first information processing device 8 is input with various information from each component (mixer 5 or the like) used in the concrete manufacturing system 1, and the above-described various information based on the calculation result or the like. Output to the component. The input / output device 81 includes a keyboard, a mouse, a wireless communication device, and the like. The storage device 82 is configured to be able to store various types of input information, various programs necessary for control execution, calculation results, and the like. The arithmetic device 84 performs arithmetic processing based on the various information described above. The display device 83 displays various types of input information and information such as the calculation results obtained by the calculation device 84 described above.

  The first information processing device 8 further includes a blending amount determination device 86, a property information estimation device 87, an association information creation device 88, and the image processing device 89 described above. The blending amount determination device 86, the property information estimation device 87, the association information creation device 88 and the image processing device 89 are electrically connected to the bus 80. Note that each of the blending amount determination device 86, the property information estimation device 87, the association information creation device 88, and the image processing device 89 may be a program stored in the storage device 82 and operated by the arithmetic device 84.

  Similarly to the first information processing apparatus 8, the second information processing apparatus 9 (data server) includes a storage device 91, an input / output device (not shown), and a microcomputer including an arithmetic device (not shown). The general configuration and control will be omitted as appropriate. As shown in FIG. 2, the storage device 91 has a target quality TQ, blending information IF, kneading state information IK, material information IM, property information IP, association information IR (first association information IR1, second association information IR2). ), A blending design model MD, a control model MC, and the like are stored. In the storage device 91, by repeating the production of concrete, the blending information IF, the kneading state information IK, the material information IM and the property information IP are accumulated, and the association information IR is based on the accumulated blending information IF and the like. The blending design model MD and the control model MC are appropriately updated.

  FIG. 3 is a diagram for explaining a property information estimation device and an association information creation device according to an embodiment of the present invention. FIG. 3A is an example of creation of first association information by the association information creation device. FIG. 3B is a diagram illustrating an example of property information estimation by the property information estimation device, and FIG. 3C is an example of creation of second association information by the association information creation device. FIG. 3D is a diagram illustrating another example of property information estimation by the property information estimation apparatus.

  As shown in FIG. 3 (a), the association information creation device 88 includes kneading state information IK stored in the storage device 91 in advance and property information IP stored in the storage device 91 in advance for each batch. Based on the property information IP stored in association with the kneading state information IK, first association information IR1 in which the kneading state information IK and the property information IP are associated is created. Here, the property information IP includes at least one of a strength index value VI that is an index related to the strength of concrete and a fluidity index value VF that is an index related to the fluidity of the concrete. The property information IP includes measured values of the strength index value VI and the fluidity index value VF acquired by quality inspection (property test) such as a strength test and a slump test. The first association information IR1 includes formulas, graphs, tables, and the like that indicate the correlation between the kneading state information IK and the property information IP. The association information creating device 88 updates the first association information IR1 every time the kneading state information IK and the property information IP are added.

  As shown in FIG. 3B, the property information estimation device 87 is based on the kneading state information IK acquired from the concrete being kneaded by the mixer 5 based on the first association information IR1 stored in the storage device 91 in advance. The property information IP of the concrete from which the kneading state information IK is obtained is estimated.

  FIG. 4 is a graph showing an example of the relationship between kneading state information and property information. Based on FIG. 4, specific operations of the association information creation device 88 and the property information estimation device 87 will be described. The horizontal axis in FIG. 4 is the information IC acquired from the captured image CI, and the vertical axis is the strength index value VI that is an index related to the strength of the concrete. Further, IC2 and IC3 in FIG. 4 are information acquired from the photographed image CI, and VI2 and VI3 are subjected to a strength test (property inspection) after the concrete is manufactured for each of the concrete from which the information IC2 and IC3 are acquired. This is the intensity index value actually measured. The association information creation device 88 associates the information IC acquired from the photographed image CI and the intensity index value VI as shown by the regression line in FIG. 4 based on the information IC2, IC3 and the intensity index values VI2, VI3. First association information IR1 is created. The property information estimation device 87 estimates the strength index value VI1 of the concrete being mixed from the information IC1 acquired from the photographed image CI of the concrete being mixed by the mixer 5 based on the first association information IR1. Note that the strength index value VI1 may be estimated by performing pattern matching on the information IC acquired from the concrete photographed image CI.

  As shown in FIG. 3C, the association information creating device 88 includes the material information IM stored in the storage device 91 in advance and the property information IP stored in the storage device 91 in advance. Based on the property information IP stored in association with the information IM, the second association information IR2 that associates the material information IM and the property information IP is created. The second association information IR2 includes a formula, a graph, a table, and the like indicating the correlation between the material information IM and the property information IP. The association information creating device 88 updates the second association information IR2 every time material information IM and property information IP are added.

  As shown in FIG. 3 (d), the property information estimation device 87 is material information acquired from the concrete material before being put into the mixer 5 based on the second association information IR 2 stored in advance in the storage device 91. The property information IP of the concrete manufactured by kneading the concrete material for which the material information IM is obtained from the IM is estimated.

  The association information IR (first association information IR1, second association information IR2) is the basis when there are a plurality of pieces of information (material information IM, kneading state information IK) that are the basis for estimating the property information IP. Information indicating the strength of the correlation between the information and the property information IP may be included, and based on the strength of the correlation, the property information estimation device 87 starts from at least one of a plurality of basic information. The property information IP may be estimated.

  FIG. 5 is a diagram for explaining a blending amount determination device according to an embodiment of the present invention. FIG. 5A is a diagram illustrating an example of determination of a design blending amount by the blending amount determination device. FIG.5 (b) is a figure which shows an example of the determination of the correction design compounding quantity by a compounding quantity determination apparatus.

  As shown in FIG. 5A, the blending amount determination device 86 is configured to be able to perform blending design based on the blending design model MD created in advance and stored in the storage device 91. By a blending design based on the model MD, a design blending amount QD that is a blending amount of concrete is determined from the target quality TQ. More specifically, the blended design model MD is created by the material information IM and kneading state information IK detected by the detection device 6 and stored in the storage device 91 in advance, and the association information generation device 88 and stored in advance in the storage device 91. The design blending amount QD is determined from the target quality TQ based on the first association information IR1 and the second association information IR2 stored in.

  The target quality TQ is information related to the properties of the target concrete, and includes a target strength index TS that is an index related to the target strength and a target fluidity index TF that is an index related to the target fluidity. The target strength index TS includes at least one of the 7-day age compressive strength and the 28-day age compressive strength obtained by the compressive strength test. The target fluidity index TF includes at least one of a slump value and a slump flow value acquired in a slump test or a slump flow test. The target quality TQ is input via the input / output device 81 and stored in the storage device 91 before the formulation design is performed by the formulation amount determination device 86.

  The design blending amount QD is the amount of each concrete material necessary to produce one batch of concrete that satisfies the target required quality. In FIG. 5A, QD1 is the design blending amount of cement, QD2 is the design blending amount of water, QD3 is the design blending amount of coarse aggregate, and QD4 is the design blending amount of fine aggregate. Amount.

  As shown in FIG. 5B, the blending amount determination device 86 determines a modified design blending amount QM that is a blending amount obtained by correcting the design blending amount QD by blending design based on the blending design model MD. More specifically, the blended design model MD is created by the material information IM and kneading state information IK detected by the detection device 6 and stored in the storage device 91 in advance, and the association information generation device 88 and stored in advance in the storage device 91. Based on the first association information IR1 and the second association information IR2 stored in the table, the modified design composition is obtained from the material information IM, the kneading state information IK and the target quality TQ acquired during the concrete production by the concrete production apparatus 2. The quantity QM is determined. At this time, the blending amount determination device 86 is created by the material information IM and the kneading state information IK detected by the detection device 6 and stored in the storage device 91 in advance, and the association information generation device 88 and stored in the storage device 91 in advance. Based on the stored first association information IR1 and second association information IR2, the property information IP is estimated, and the corrected design compounding amount QM is determined from the result of comparing the estimated property information IP and the target quality TQ. May be.

  The modified design blending amount QM is the amount of each concrete material necessary to produce one batch of concrete that satisfies the target required quality, like the design blending amount QD. In FIG. 5B, QM1 is a modified design blending amount of cement, QM2 is a modified design blending amount of water, QM3 is a modified design blending amount of coarse aggregate, and QM4 is a fine aggregate. This is the design blending amount Each of the corrected design blending amounts QM may be increased or decreased from each of the design blending amounts QD. The corrected design blending amount QM may be a difference amount with respect to the design blending amount QD.

  The blending design model MD may determine the design blending amount QD and the modified design blending amount QM based on the material information IM and the first association information IR1, or may include the kneading state information IK and the second association information IR2. Based on this, the design blend amount QD and the modified design blend amount QM may be determined.

  As shown in FIG. 1, the concrete manufacturing system 1 according to some embodiments includes at least one detection device 6 described above, the storage device 91 described above, and the blending amount determination device 86 described above. ing.

  According to the above configuration, the concrete production system 1 has the material information IM that is information about the concrete material before being put into the mixer 5 and the kneading state that is information about the kneading state of the concrete kneaded in the mixer 5. At least one detection device 6 capable of detecting at least one of the information IK, the first association information IR1 in which the material information IM is associated with the property information IP that is information related to the properties of the concrete, and the kneading state information IK and the property information IP And a storage device 91 that stores at least one of the second association information IR2 associated with each other. For this reason, the material information IM and the kneading state information IK can be acquired by the detection device 6. Further, the storage device 91 can acquire the first association information IR1 that associates the material information IM and the property information IP, and the second association information IR2 that associates the kneading state information IK and the property information IP.

  Then, the concrete production system 1 is based on the material information IM and the kneading state information IK detected by the detection device 6, and the first association information IR1 and the second association information IR2 stored in the storage device 91. A blending amount determination device 86 that determines the blending amount of the concrete material is further provided. Here, the material information IM, the kneading state information IK, and the property information IP have a correlation, and the first association information IR1 and the second association information IR2 reveal the above-described correlation. Therefore, the concrete manufacturing system 1 can accurately estimate the properties of the concrete based on the material information IM, the kneading state information IK, and the first association information IR1 and the second association information IR2. In addition, since the properties of the concrete can be estimated with high accuracy, the properties of the concrete can be targeted based on the material information IM, the kneading state information IK, and the first association information IR1 and the second association information IR2. It is possible to accurately estimate the blending amount of concrete material (design blending amount QD). Therefore, the concrete manufacturing system 1 can accurately produce concrete that satisfies the required quality.

  In addition, the concrete manufacturing system 1 can accurately estimate the properties of the concrete being manufactured by acquiring the material information IM and the kneading state information IK using the detection device 6. For this reason, the concrete production system 1 obtains an appropriate blending (modified design blending amount QM) of the concrete being manufactured by the blending amount determination device 86, and additionally inputs the concrete material to apply the blending to the concrete being manufactured. By doing so, it is possible to suppress variations in quality of each batch of concrete to be manufactured, and it is possible to accurately produce concrete that satisfies the required quality.

  In some embodiments, at least one of the above-described material information IM and the above-described kneading state information IK and at least one of the above-described first association information IR1 and the above-described second association information IR2 are used as learning data DL. Based on the blending design model MD generated by performing machine learning, the blending amount of the concrete material (design blending amount QD, corrected design blending amount QM) is determined. In this case, by accumulating the learning data DL, the accuracy of the correlation between the material information IM and the kneading state information IK and the first association information IR1 and the second association information IR2 can be improved. The blending design model MD generated by performing can accurately estimate the blending amount of the concrete material corresponding to the target property of concrete.

  As described above, in some embodiments, the above-described at least one detection device 6 (kneading state information acquisition device 60) can take an image of the concrete kneaded in the mixer 5, as shown in FIG. 1st imaging device 61 is included. The kneading state information IK described above includes at least one of the concrete photographed image CI photographed by the first photographing device 61 and the information IC acquired from the photographed image CI. In this case, the concrete image kneaded in the mixer 5 and the information IC acquired from the photographed image CI are included as the kneading state information IK. The concrete photographed image CI and the information IC acquired from the photographed image CI include information related to concrete properties such as concrete strength, fluidity, and air volume. For this reason, the concrete property can be accurately estimated by including the concrete captured image CI and the information IC acquired from the captured image CI in the kneading state information IK.

  In some embodiments, the at least one detection device 6 (kneading state information acquisition device 60) described above has an ammeter 62 capable of measuring the current value of the mixer 5 during kneading, as shown in FIG. Is included. The kneading state information IK described above includes the current value of the mixer 5 during kneading acquired by the ammeter 62. The current value of the mixer 5 during kneading includes information on the properties of the concrete such as the fluidity (slump value) of the concrete. For this reason, by including the current value of the mixer 5 during kneading in the kneading state information IK, it is possible to accurately estimate the properties of the concrete. The kneading state information acquisition device 60 may include a torque detector capable of detecting the torque value of the mixer 5 during kneading instead of the ammeter 62. The kneading state information IK described above is obtained by the torque detector. The acquired torque value of the mixer 5 during kneading may be included.

  The kneading state information acquisition device 60 described above may include both the first imaging device 61 and the ammeter 62, or may not include the first imaging device 61 and the ammeter 62. The kneading state information acquisition device 60 described above is a device other than the first photographing device 61 and the ammeter 62 such as a thermometer capable of detecting the temperature of the concrete being kneaded and a strain meter capable of detecting the distortion of the concrete being kneaded. A device (measuring instrument) may be included. The kneading state information IK may include the temperature and strain of the concrete being kneaded. Since the kneading state information IK includes various kinds of information, the estimation accuracy of the properties of the concrete can be improved.

  In some embodiments, the above-described at least one detection device 6 (material information acquisition device 70) can detect aggregate information IA that is information about the aggregate before being input to the mixer 5. Device 70A is included. The material information IM described above includes aggregate information IA. In the embodiment shown in FIG. 1, the aggregate information detection device 70 </ b> A includes the second imaging device 71. However, in other embodiments, the aggregate information detection device 70 </ b> A can detect the surface water ratio of the fine aggregate. A moisture meter may be included.

  According to said structure, the aggregate information IA which is the information regarding the aggregate before thrown into the mixer 5 as material information IM is contained. Here, the aggregate information IA includes information on the properties of the concrete such as the strength, fluidity and air amount of the concrete. For example, the surface water ratio of aggregates (fine aggregates) is a parameter related to the proportion of water in the concrete material that affects the fluidity of the concrete and the water-cement ratio of the concrete that affects the strength and air volume of the concrete. It is. In other words, the surface water ratio of the aggregate (fine aggregate) includes information on the properties of the concrete such as the strength, fluidity, and air volume of the concrete. In addition, when the aggregate particle size distribution is large, fine aggregates enter between the coarse aggregates, so that the aggregate is denser and the adhesion between the aggregates is smaller than when the aggregate particle size distribution is small. growing. For this reason, when the aggregate particle size distribution is large, the strength of the concrete can be increased even if the amount of cement or water is small compared to the case where the aggregate particle size distribution is small. In other words, the aggregate particle size distribution includes information on the properties of the concrete such as the strength and fluidity of the concrete. For this reason, the property of concrete can be estimated accurately by including the aggregate information IA in the material information IM.

  In some embodiments, the above-described at least one detection device 6 (material information acquisition device 70) includes a meter 4 (a cement meter 41, a water meter 42, a coarse bone, as shown in FIG. 1). Material measurer 43 and fine aggregate measurer 44), and the material information IM described above includes the measured value of the concrete material measured by the measurer 4. In this case, since the amount of the concrete material put into the mixer 5 can be accurately grasped, it is possible to improve the estimation accuracy of the properties of the concrete.

  The material information acquisition device 70 described above detects the temperature of the concrete material provided in each of the storage containers 3 (cement storage container 31, water storage container 32, coarse aggregate storage container 33, fine aggregate storage container 34). A possible thermometer may further be included, and the material information IM may include the temperature of the concrete material in the storage container 3. Since the material information IM includes various kinds of information, it is possible to improve the estimation accuracy of the properties of the concrete.

  In some embodiments, the property information IP described above includes at least one of a strength index value VI that is an index related to the strength of concrete and a fluidity index value VF that is an index related to the fluidity of the concrete. The strength index value VI corresponds to the target strength index TS, and includes at least one of the 7-day material age compressive strength and the 28-day material age compressive strength obtained by the compressive strength test. The fluidity index value VF corresponds to the target fluidity index TF, and includes at least one of a slump value and a slump flow value acquired in a slump test or a slump flow test. In this case, since the concrete strength index value VI and the fluidity index value VF are included as the property information IP, the concrete manufacturing system 1 includes the material information IM, the kneading state information IK, the first association information IR1, and the like. Based on the second association information IR2, it is possible to accurately estimate the strength and fluidity of the concrete. Therefore, the concrete manufacturing system 1 can accurately estimate the blending amount of the concrete material corresponding to the target concrete fluidity.

  The target quality TQ and the property information IP described above may further include the tensile strength, shear strength and bending strength obtained by various strength tests, the air amount obtained by the air amount test, and the like. .

  FIG. 6 is a diagram for explaining a control device according to an embodiment of the present invention. In some embodiments, the concrete manufacturing system 1 described above includes, as shown in FIG. 6, at least one of the material information IM and the kneading state information IK detected by the detection device 6 described above, and a storage device 91. Is further provided with a control device 85 for controlling the concrete manufacturing apparatus 2 including at least the mixer 5 based on at least one of the first association information IR1 and the second association information IR2 stored in the above.

  As shown in FIG. 6, the control device 85 is configured to be able to execute control of the concrete manufacturing device 2 based on a control model MC created in advance and stored in the storage device 91. The control model MC is detected by the detection device 6 and stored in the storage device 91 in advance, and the first association stored in the storage device 91 in advance by the association information creation device 88 created by the association information creation device 88. Based on the information IR1 and the second association information IR2, the content of control performed on the concrete manufacturing apparatus 2 from the material information IM and the kneading state information IK acquired during the concrete manufacturing by the concrete manufacturing apparatus 2 and the target quality TQ. To decide. The control of the concrete manufacturing apparatus 2 performed by the control device 85 includes determining the kneading time of the mixer 5 and controlling the opening / closing of the on / off valve of the measuring instrument 4 to input the concrete material into the mixer 5. At this time, the control device 85 is created by the material information IM and kneading state information IK detected by the detection device 6 and stored in the storage device 91 in advance, and the association information generation device 88 and stored in the storage device 91 in advance. Based on the first association information IR1 and the second association information IR2, the property information IP is estimated, and the control performed on the concrete manufacturing apparatus 2 from the result of comparing the estimated property information IP and the target quality TQ. The content may be determined.

  According to the above configuration, the control device 85 can control the concrete manufacturing apparatus 2 including the mixer 5. Control of the concrete manufacturing apparatus 2 by the control device 85 includes adjustment of the kneading time of the mixer 5, for example. Based on the material information IM, the kneading state information IK, and the first association information IR1 and the second association information IR2, the control device 85 causes the concrete manufacturing apparatus to become concrete corresponding to the property of the target concrete. By performing the control 2, it is possible to suppress variations in quality of each batch of concrete to be manufactured, and it is possible to accurately produce concrete that satisfies the required quality.

  In some embodiments, as shown in FIG. 1, the meter 4 further includes an admixture meter 45 that can adjust the amount of admixture input. Here, the admixture is a material other than aggregate, cement, and water mixed with concrete for the purpose of improving the fluidity of the concrete, and includes a water reducing agent, a fluidizing agent, and the like. The admixture material may contain not only an admixture such as a water reducing agent or a fluidizing agent, but also an admixture such as a water reducing material, or may contain only an admixture. And the control apparatus 85 throws an admixture into the mixer 5 from the admixture measuring instrument 45 based on the control model MC. In this case, since an appropriate amount of admixture can be added, it is possible to suppress variations in the quality of each batch of concrete to be manufactured, and it is possible to accurately produce concrete that satisfies the required quality.

  In some embodiments, the control device 85 described above is a machine that uses at least one of the material information IM and the kneading state information IK and at least one of the first association information IR1 and the second association information IR2 as learning data DL. Based on the control model MC generated by performing learning, the concrete manufacturing apparatus 2 is controlled. In this case, by accumulating the learning data DL, it is possible to improve the accuracy of the correlation between the material information IM and the kneading state information IK and the first association information IR1 and the second association information IR2. For this reason, by controlling the concrete manufacturing apparatus 2 with the control model MC generated by performing machine learning, it is possible to suppress variations in quality of each batch of concrete to be manufactured, and to satisfy the required quality. The filling concrete can be made with high accuracy.

  In some embodiments, as shown in FIGS. 5A and 5B, the blending amount determination device 86 stores in the storage device 91 when determining the design blending amount QD and the modified design blending amount QM. Reference may be made to the blending information IF. Here, the blending information IF is stored in the storage device 91 in association with the material information IM, the kneading state information IK, and the property information IP for each batch. The blending information IF includes information on cement, information on water, information on coarse aggregates and fine aggregates, information on admixtures, and information on blending design. In this case, the blending amount determination device 86 can improve the estimation accuracy of the design blending amount QD and the modified design blending amount QM by referring to the blending information IF.

  In some embodiments, as shown in FIG. 6, the controller 85 may refer to the blending information IF stored in the storage device 91 when controlling the concrete manufacturing apparatus 2. In this case, the control device 85 can create concrete with high accuracy by referring to the blending information IF.

  Information on cement includes cement types such as ordinary cement, blast furnace cement, early strength cement, low heat cement, medium heat cement, density of cement and specific surface area of cement. The information regarding water includes water types such as tap water, industrial water, and supernatant water, water density, and pH value of water. Information on coarse aggregates and fine aggregates includes the type and nature of rocks, the location of the rock, the density of coarse aggregates and fine aggregates, particle size distribution, coarse fraction, fine fraction, grain shape, actual volume fraction, water absorption Rate and stability are included. For information on admixtures, silica fume, blast furnace slag fine powder, fly ash, limestone fine powder, gypsum and other types of admixture, density of admixture, specific surface area of admixture, AE water reducing agent, antifoaming agent, fluidization This includes the types of admixtures such as additives and thickeners, the density of the admixture, and the solid content of the admixture. Information on the compounding design includes unit cement amount, unit water amount, unit coarse aggregate amount, unit fine aggregate amount, unit binder amount, unit powder amount, water cement ratio, water binder ratio, water powder ratio, It includes cement water ratio, binder water ratio, powder water ratio, fine aggregate ratio, coarse aggregate bulk capacity, admixture addition amount, air amount and the like. Here, the binder is made of cement and an admixture, and the powder is made of fine powder such as cement, mineral, and silica fume.

  In some embodiments, as shown in FIGS. 1 and 2, the concrete production system 1 described above further includes a third photographing device 12 that can photograph the concrete discharged from the mixer 5 to the hopper 11. . The third image capturing device 12 captures an image (captured image) of the concrete kneaded and manufactured by the mixer 5. The photographed image photographed by the third photographing device 12 and the information acquired from the photographed image include information related to the properties of the concrete such as the strength, fluidity and air amount of the concrete. In this case, the accuracy of the association information IR can be improved by referring to the captured image captured by the third imaging device 12 and information acquired from the captured image when creating the association information IR. .

  In some embodiments described above, the first information processing device 8 and the second information processing device 9 are configured separately, but may be configured integrally. In addition, some of the configurations and information included in the first information processing device 8 described above may be included in the second information processing device 9, and among the configurations and information included in the second information processing device 9 described above. Some may be included in the first information processing apparatus 8.

  FIG. 7 is a flowchart of a concrete manufacturing method according to an embodiment of the present invention. As shown in FIG. 7, a concrete manufacturing method 100 according to some embodiments is a concrete manufacturing method for manufacturing concrete by kneading a concrete material including cement, water, and aggregate, Information acquisition step S101 for acquiring at least one of the material information IM and the kneading state information IK described above, the first association information IR1 and the kneading state information IK described above in which the material information IM and the property information IP are associated with each other. Association information acquisition step S102 for acquiring at least one of the above-described second association information IR2 associated with the property information IP, at least one of the material information IM and the kneading state information IK, the first association information IR1, and the second Based on at least one of the association information IR2, the blending amount of the concrete material is determined. The amount determination step S103 of, a.

  As shown in FIG. 7, the information acquisition step S101 includes at least one of a material information acquisition step S101A for acquiring material information IM and a kneading state information acquisition step S101B for acquiring kneading state information IK. As shown in FIG. 7, the association information acquisition step S102 is at least one of a first association information acquisition step S102A for acquiring the first association information IR1 and a second association information acquisition step S102B for acquiring the second association information IR2. Is included.

  According to the above method, the concrete manufacturing method 100 includes the material information IM which is information on the concrete material before being put into the mixer 5 and the kneading state which is information on the kneading state of the concrete kneaded in the mixer 5. Information acquisition step S101 for acquiring at least one of information IK, first association information IR1 that associates material information IM and property information IP, and second association information IR2 that associates kneading state information IK and property information IP An association information acquisition step S102 for acquiring at least one of them. For this reason, in the information acquisition step S101, the material information IM and the kneading state information IK can be acquired. In the association information acquisition step S102, the first association information IR1 that associates the material information IM and the property information IP and the second association information IR2 that associates the kneading state information IK and the property information IP can be obtained.

  The concrete manufacturing method 100 is based on the material information IM and the kneading state information IK acquired in the information acquisition step S101, and the first association information IR1 and the second association information IR2 acquired in the association information acquisition step S102. The blending amount determination step S103 for determining the blending amount of the concrete material is further provided. As described above, the material information IM, the kneading state information IK, and the property information IP have a correlation, and the first association information IR1 and the second association information IR2 reveal the above-described correlation. . Therefore, the concrete manufacturing method 100 can accurately estimate the properties of the concrete based on the material information IM, the kneading state information IK, and the first association information IR1 and the second association information IR2. In addition, since the concrete manufacturing method 100 can accurately estimate the properties of the concrete, the target is determined based on the material information IM, the kneading state information IK, and the first association information IR1 and the second association information IR2. It is possible to accurately estimate the blending amount of the concrete material corresponding to the properties of the concrete to be performed. Therefore, the concrete manufacturing method 100 can accurately produce concrete that satisfies the required quality.

  Moreover, the concrete manufacturing method 100 acquires the material information IM and the kneading state information IK for the concrete and the concrete material being manufactured by the concrete manufacturing apparatus 2 in the information acquisition step S101, so that the properties of the concrete being manufactured are obtained. Can be estimated with high accuracy. For this reason, the concrete manufacturing method 100 is manufactured by obtaining an appropriate blending of the concrete being manufactured in the blending amount determination step S103, and adding the concrete material to apply the blending to the concrete being manufactured. It is possible to suppress variations in quality of each batch of concrete and to accurately produce concrete that satisfies the required quality.

  The present invention is not limited to the above-described embodiments, and includes forms obtained by modifying the above-described embodiments and forms obtained by appropriately combining these forms.

DESCRIPTION OF SYMBOLS 1 Concrete production system 2 Concrete production apparatus 3 Storage container 31 Cement storage container 32 Water storage container 33 Coarse aggregate storage container 34 Fine aggregate storage container 4 Measuring instrument 41 Cement measuring instrument 42 Water measuring instrument 43 Coarse aggregate measuring instrument 44 Fine aggregate meter 5 Mixer 51 Stirring shaft 52 Stirring blade 53 Drive source 6 Detector 60 Kneading state information acquisition device 61 First imaging device 62 Ammeter 70 Material information acquisition device 71 Second imaging device 8 First information processing device 80 Bus 81 Input / output device 82 Storage device 83 Display device 84 Calculation device 85 Control device 86 Compounding amount determination device 87 Property information estimation device 88 Association information creation device 89 Image processing device 9 Second information processing device 100 Concrete manufacturing method CA Second Photographed image CI Photographed image DL Learning data IA Aggregate information IC Information IF arrangement obtained from photographed image Information IK Kneading state information IM Material information IP Property information IR Association information IR1 First association information IR2 Second association information MC Control model MD Compounding design model QD Design compounding amount QM Correction design compounding amount S101 Information acquisition step S102 Association information acquisition step S103 Compounding amount determination step TF Target fluidity index TQ Target quality TS Target strength index VF Liquidity index value VI Strength index value

Claims (8)

A concrete production system for producing concrete by mixing concrete materials including cement, water and aggregate,
At least one detection device capable of detecting at least one of material information relating to the concrete material before being put into the concrete mixer and kneading state information being information relating to the kneading state of the concrete kneaded in the concrete mixer When,
A storage device that stores at least one of first association information that associates the material information with property information that is information related to the property of the concrete, and second association information that associates the kneading state information with the property information;
Based on at least one of the material information and the kneading state information detected by the detection device, and at least one of the first association information and the second association information stored in the storage device, the concrete material A concrete production system comprising: a blending amount determination device that determines a blending amount of   The blending amount determination device is generated by performing machine learning using at least one of the material information and the kneading state information and at least one of the first association information and the second association information as learning data. The concrete manufacturing system according to claim 1, wherein the blending amount of the concrete material is determined based on a blending design model. The at least one detection device includes a photographing device capable of photographing an image of the concrete kneaded in the concrete mixer,
The concrete manufacturing system according to claim 1, wherein the kneading state information includes at least one of a photographed image of concrete photographed by the photographing device and information acquired from the photographed image. The at least one detection device includes an aggregate information detection device capable of detecting aggregate information which is information related to the aggregate before being put into the concrete mixer,
The concrete material production system according to any one of claims 1 to 3, wherein the material information includes the aggregate information.   The concrete according to any one of claims 1 to 4, wherein the property information includes at least one of a strength index value that is an index related to the strength of the concrete and a fluidity index value that is an index related to the fluidity of the concrete. Manufacturing system.   The concrete mixer based on at least one of the material information and the kneading state information detected by the detection device and at least one of the first association information and the second association information stored in the storage device The concrete production system according to any one of claims 1 to 5, further comprising a control device that controls a concrete production device including at least a concrete production device.   The control device is a control model generated by performing machine learning using at least one of the material information and the kneading state information and at least one of the first association information and the second association information as learning data. The concrete manufacturing system according to claim 6, wherein the concrete manufacturing apparatus is controlled based on the control. A concrete production method for producing concrete by mixing concrete materials including cement, water and aggregate,
An information acquisition step of acquiring at least one of material information that is information on the concrete material before being put into the concrete mixer and kneading state information that is information on a kneading state of the concrete kneaded in the concrete mixer;
An association information acquisition step of acquiring at least one of first association information that associates the material information with property information that is information on the properties of the concrete, and second association information that associates the kneading state information with the property information. When,
A blending amount determination step of determining a blending amount of the concrete material based on at least one of the material information and the kneading state information, and at least one of the first association information and the second association information. A method for producing concrete.

Images