Preparation method and system based on mortar stirring

Abstract

The invention provides a preparation method and system based on mortar stirring, and is applied to the technical field of building material processing. Order information, target construction information and material supply chain information are obtained from a terminal, and the obtained information is recorded in a corresponding database; performing classification, screening and superposition according to the information in the database to establish a material preparation model; dividing the information in the database into a first priority material preparation model, a second priority material preparation model and a third priority material preparation model; the problems that at present, mortar used for building materials and construction projects needs different proportions in different environments, other added elements can better enable the prepared mortar to better conform to engineering construction under different conditions, however, manual operation and proportion are needed, and the production cost is high are solved. And other added elements also need to be manually proportioned to prepare the mortar, which is relatively tedious and troublesome, and the use effect of the prepared mortar can be influenced due to inaccurate proportioning calculation.

Description

Technical Field

[0001] The present application relates to the technical field of building material processing, and particularly relates to a preparation method and system based on mortar mixing. Background Art

[0002] It is made by mixing inorganic cementitious materials, fine aggregates and water in proportion, also known as mortar, which is used for masonry and plastering works. It can be divided into masonry mortar and plaster mortar. The former is used for the masonry of bricks, stones, blocks, etc. and the installation of components; the latter is used for plastering the surfaces of walls, floors, roofs, beam-column structures, etc. to meet the requirements of protection and decoration, etc.

[0003] Among ordinary mortar materials, there are also pastes made by adding fibrous reinforcing materials to gypsum, lime paste or clay and adding water, which are called ash, paste, mud or mastic. Commonly used ones include hemp ash (lime paste mixed with hemp), paper pulp ash (lime paste mixed with paper pulp), gypsum ash (plaster of Paris mixed with lime paste and paper pulp or glass fiber, etc.) and admixed ash mud (clay mixed with a small amount of lime and wheat straw or rice straw);

[0004] The ratios required for mortar mixing and production in building materials and construction projects are different in different environments, and the addition of other elements can also better make the prepared mortar more suitable for engineering construction in different situations. However, it requires manual operation and proportioning, and the addition of other elements to prepare mortar also requires manual proportioning, which is rather cumbersome and troublesome. Moreover, inaccurate proportioning calculation will also affect the use effect of the prepared mortar. Summary of the Invention

[0005] The present application aims to solve the technical problem that the ratios required for mortar mixing and production in building materials and construction projects are different in different environments, and the addition of other elements can also better make the prepared mortar more suitable for engineering construction in different situations. However, it requires manual operation and proportioning, and the addition of other elements to prepare mortar also requires manual proportioning, which is rather cumbersome and troublesome. Moreover, inaccurate proportioning calculation will also affect the use effect of the prepared mortar, and provides a preparation method and system based on mortar mixing.

[0006] The present application adopts the following technical means to solve the technical problem:

[0007] A preparation method and system based on mortar mixing, the method comprising:

[0008] Obtain order information, target construction information and material supply chain information from the terminal, and record the obtained information in the corresponding database;

[0009] Classify, screen and overlap the information in the database to establish a material preparation model;

[0010] Divide the information in the database into a first-priority material preparation model, a second-priority material preparation model, and a third-priority material preparation model;

[0011] Substitute the data in the existing database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and calculate the scores through a weight algorithm to obtain the best material preparation model;

[0012] Set the relevant parameters of the preparation equipment according to the best material preparation model.

[0013] Further, in the step of obtaining order information, target construction information, and material supply chain information from the terminal and recording the obtained information in the corresponding database,

[0014] In obtaining order information from the terminal device, it includes, but is not limited to, mortar mixing material information, mortar output information, construction target area location information, and construction project attribute information.

[0015] Further, in the step of classifying, screening, and overlapping the information in the database to establish a material preparation model,

[0016] After obtaining the information, the corresponding mortar mixing material classification library, mortar ratio classification library, and regional standard mortar output classification library in the database are matched with the above-obtained information, and a material preparation model that can prepare different types of mortar and mortar output can be obtained.

[0017] Further, in the step of dividing the information in the database into a first-priority material preparation model, a second-priority material preparation model, and a third-priority material preparation model,

[0018] In the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model, the priority is determined by regional factors, material adaptation factors, and cost factors;

[0019] Further, in the step of substituting the data in the existing database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and calculating the scores through a weight algorithm to obtain the best material preparation model,

[0020] Substitute the data in the existing database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and then calculate through a weight algorithm;

[0021] n is the priority factor, i is the factor index, and j is the scheme index;

[0022] Among them, the calculation formula of the weight algorithm is as follows:

[0023] The weighted score \(j=\sum_{i = 1}^{n}(s_{ij}\times w_i)\)

[0024] Furthermore, after substituting the data in the database into the formula, the corresponding scores of the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model are obtained, and the priority material preparation model with the highest score is selected.

[0025] A preparation system based on mortar mixing, the system includes:

[0026] An information acquisition module, which acquires order information, target construction information, and material supply chain information from the terminal and records the acquired information in the corresponding database;

[0027] An information processing module, which classifies, filters, and overlaps the information in the database to establish a material preparation model;

[0028] An information integration module, which divides the information in the database into a first-priority material preparation model, a second-priority material preparation model, and a third-priority material preparation model;

[0029] An information calculation module, which substitutes the existing data in the database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and calculates the scores respectively through a weight algorithm to obtain the best material preparation model;

[0030] A material preparation module, which sets the relevant parameters of the preparation equipment according to the best material preparation model.

[0031] The present application provides a preparation method and system based on mortar mixing, which has the following beneficial effects: obtaining order information, target construction information, and material supply chain information from a terminal, and recording the obtained information in a corresponding database; classifying, screening, and overlapping the information in the database to establish a material preparation model; dividing the information in the database into a first-priority material preparation model, a second-priority material preparation model, and a third-priority material preparation model; substituting the existing data in the database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and calculating scores through a weight algorithm to obtain the best material preparation model; setting relevant parameters of the preparation equipment according to the best material preparation model; solving the technical problem that the mortar mixing and production for building materials and construction projects currently require different ratios in different environments, and the addition of other elements can also better make the prepared mortar more suitable for engineering construction under different circumstances, but it requires manual operation and proportioning, and the addition of other elements to prepare mortar also requires manual proportioning, which is relatively cumbersome and troublesome, and inaccurate proportioning calculation will also affect the use effect of the prepared mortar. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a flowchart of an embodiment of the preparation method and system based on mortar mixing of the present application.

[0033] The implementation, functional features, and advantages of the present application will be further described with reference to the accompanying drawings in combination with the embodiments. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0035] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present application.

[0036] It should be noted that the terms "including", "comprising", "having" and any variations thereof in the description, claims and above-mentioned drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally further include unlisted steps or units, or may optionally further include other steps or units inherent to these processes, methods, products or devices. In the claims, description and drawings of this application, relational terms such as "first" and "second" are only used to distinguish one entity / operation / object from another entity / operation / object, and do not necessarily require or imply any such actual relationship or order between these entities / operations / objects.

[0037] Referring to "embodiments" herein means that specific features, structures or characteristics described in connection with the embodiments may be included in at least one embodiment of this application. The phrase appears in various places in the description and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

[0038] Refer to the attached Figure 1 , which is a flowchart of a preparation method and system based on mortar mixing in an embodiment of this application;

[0039] Embodiment 1

[0040] A preparation method and system based on mortar mixing, the method comprising:

[0041] Obtain order information, target construction information and material supply chain information from the terminal, and record the obtained information in the corresponding database;

[0042] Classify, screen, overlap and stack the information in the database to establish a material preparation model;

[0043] Divide the information in the database into a first-priority material preparation model, a second-priority material preparation model and a third-priority material preparation model;

[0044] Substitute the existing data in the database into the first-priority material preparation model, the second-priority material preparation model and the third-priority material preparation model respectively, and calculate the scores respectively through a weight algorithm to obtain the best material preparation model;

[0045] Set the relevant parameters of the preparation equipment according to the best material preparation model.

[0046] In the step of obtaining order information, target construction information, and material supply chain information from the terminal and recording the obtained information in the corresponding database,

[0047] In obtaining order information from the terminal device, it includes, but is not limited to, mortar mixing material information, mortar output information, construction target area location information, and construction project attribute information.

[0048] In this embodiment, in the step of classifying, screening, and overlapping the information in the database to establish a material preparation model,

[0049] After obtaining the information, the corresponding mortar mixing material classification library, mortar proportion classification library, and regional standard mortar output classification library in the database are matched with the above-obtained information, and a material preparation model that can prepare how many different types of mortar and mortar output can be obtained.

[0050] Specifically,

[0051] According to the obtained mortar mixing material information, it is matched with the mortar material classification library in the database, and this classification library contains the characteristics and specifications of various available materials;

[0052] According to the matched material information, a suitable mixing ratio plan is extracted from the mortar proportion classification library, and this library contains the proportion information of different material combinations to ensure that the performance of the mortar meets the engineering requirements;

[0053] According to the target area location information, it is matched with the regional standard mortar output classification library, and this library provides the mortar mixing ratio and output requirements of each region's standard to comply with local building codes and standards;

[0054] Through the above matching, the system can generate multiple material preparation models, and each model will include:

[0055] Types of mortar: ordinary mortar, compressive mortar, thermal insulation mortar;

[0056] Corresponding mortar mixing ratios: such as the ratios of cement, sand, gravel, and trace elements

[0057] Expected mortar output: the output calculated according to the mixing ratio and material characteristics;

[0058] Among them, trace elements include, but are not limited to, fly ash, slag, polypropylene fiber, glass fiber, water reducer, air-entraining agent, pigment;

[0059] Thus, the output distribution method of different types of mortar after mixing can be obtained.

[0060] In this embodiment, in the step of dividing the information in the database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model,

[0061] In the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model, the priority is determined by regional factors, material compatibility factors, and cost factors;

[0062] Specifically, the priority factors are regional factors, material compatibility factors, cost factors, and project construction duration factors;

[0063] Among them,

[0064] Regional factors: Considering the south / north, climate, and direct sunlight comprehensively, the mortar should select elements with better addition to improve project construction;

[0065] Material compatibility factors: Among the limited multi-element components of the mortar, how to synthesize the mortar to better improve the quality of project construction;

[0066] Cost factors: How to adjust the ratio of multi-element components to mortar mixture;

[0067] Project construction duration factors: How to prepare the time for mortar materials that are compatible without affecting the project delivery schedule.

[0068] In this embodiment, in the step of substituting the data in the existing database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and calculating the scores respectively through the weight algorithm to obtain the best material preparation model,

[0069] Substitute the data in the existing database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and then calculate through the weight algorithm;

[0070] n is the priority factor, i is the factor index, and j is the scheme index;

[0071] Among them, the calculation formula of the weight algorithm is as follows:

[0072] \text{Weighted score}_j=\sum_{i = 1}^{n}(s_{ij}\times w_i)

[0073] Substitute the data in the database into the formula to obtain the corresponding scores of the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model, and select the priority material preparation model with the highest score;

[0074] Specifically,

[0075] Import the known existing data in the database into the priority factors respectively.

[0076] For example, the following data are quantitative data;

[0077] Southern region:

[0078] Humidity: 80%

[0079] Temperature: 30°C

[0080] Elements to be added: waterproofing agent, crack-resistant fiber

[0081] Base mortar composition:

[0082] Cement: 300 kg / m 3

[0083] Sand: 600 kg / m 3

[0084] Water: 150 kg / m 3

[0085] Macro elements:

[0086] Waterproofing agent: 5%

[0087] Crack-resistant fiber: 1%

[0088] Polymer: 10%

[0089] Material cost:

[0090] Cement: 500 yuan / ton

[0091] Sand: 100 yuan / ton

[0092] Water: 2 yuan / ton

[0093] Waterproofing agent: 200 yuan / ton

[0094] Crack-resistant fiber: 300 yuan / ton

[0095] Polymer: 400 yuan / ton

[0096] Curing time:

[0097] Base mortar: 7 days

[0098] Adding waterproofing agent: 10 days

[0099] Adding polymer: 5 days

[0100] Among them, calculate the weight scores of the first-priority material preparation model, the second-priority material preparation model, and the third-priority preparation model;

[0101] First-priority material preparation model (regional factor)

[0102] In the southern region, the mortar formula is selected as follows:

[0103] Cement: 300 kg / m 3

[0104] Sand: 600 kg / m 3

[0105] Water: 150 kg / m 3

[0106] Waterproof agent: 15 kg (5%)

[0107] Anti-cracking fiber: 3 kg (1%)

[0108] Cost calculation:

[0109] [\text{Total cost}=\left(\frac{300\text{ kg}}{1000}\times500\right)+\left(\frac{600\text{ kg}}{1000}\times100\right)+\left(\frac{150\text{ kg}}{1000}\times2\right)+\left(\frac{15\text{ kg}}{1000}\times200\right)+\left(\frac{3\text{ kg}}{1000}\times300\right)]

[0110] [=150 + 60+0.3 + 3+0.9 = 214.2\text{ yuan / m}^3]

[0111] Construction period:

[0112] The curing time is 10 days;

[0113] Second-priority material preparation model (material adaptation factor)

[0114] When selecting material adaptation, different mortar ratios are considered:

[0115] Cement: 300 kg / m 3

[0116] Sand: 600 kg / m 3

[0117] Water: 150 kg / m 3

[0118] Polymer: 30 kg (10%)

[0119] Cost calculation:

[0120] [Total cost = ($\frac{300\text{kg}}{1000}$ × 500) + ($\frac{600\text{kg}}{1000}$ × 100) + ($\frac{150\text{kg}}{1000}$ × 2) + ($\frac{30\text{kg}}{1000}$ × 400)]

[0121] [= 150 + 60 + 0.3 + 12 = 222.3 yuan / m³]

[0122] Construction period:

[0123] The curing time is 5 days;

[0124] The third - priority material preparation model (cost factor)

[0125] When cost factor is prioritized, cheaper material combinations can be selected:

[0126] Cement: 300kg / m 3

[0127] Sand: 600kg / m 3

[0128] Water: 150kg / m 3

[0129] Waterproof agent: 10kg (3%)

[0130] Cost calculation:

[0131] [Total cost = ($\frac{300\text{kg}}{1000}$ × 500) + ($\frac{600\text{kg}}{1000}$ × 100) + ($\frac{150\text{kg}}{1000}$ × 2) + ($\frac{10\text{kg}}{1000}$ × 200)]

[0132] [= 150 + 60 + 0.3 + 2 = 212.3 yuan / m³]

[0133] Construction period:

[0134] The curing time is 10 days;

[0135] Calculate the weighted score according to the weights of the priority factors:

[0136] Assume the weights are as follows:

[0137] Region factor (w_1 = 0.4)

[0138] Material adaptation factor (w_2 = 0.35)

[0139] Cost factor (w_3 = 0.25)

[0140] Weighted score calculation:

[0141] [Weighted score_1 = (10 × 0.4) + (214.2 × 0.35) + (10 × 0.25)][= 4 + 74.97 + 2.5 = 81.47]

[0142] [Weighted score_2 = (5 × 0.4) + (222.3 × 0.35) + (5 × 0.25)][= 2 + 77.805 + 1.25 = 81.055]

[0143] [Weighted score_3 = (10 × 0.4) + (212.3 × 0.35) + (10 × 0.25)][= 4 + 74.305 + 2.5 = 80.805]

[0144] By calculating the weighted scores, it can be obtained that:

[0145] The score of the first-priority material preparation model: 81.47

[0146] The score of the second-priority material preparation model: 81.055

[0147] The score of the third-priority material preparation model: 80.805

[0148] According to the weighted scores, the first-priority material preparation model (with region factor prioritized) is the best choice.

[0149] A preparation system based on mortar mixing, the system includes:

[0150] An information acquisition module, which acquires order information, target construction information, and material supply chain information from the terminal and records the acquired information in the corresponding database;

[0151] An information processing module that classifies, filters, overlaps and superimposes information in a database to establish a material preparation model;

[0152] An information integration module that divides the information in the database into a first-priority material preparation model, a second-priority material preparation model, and a third-priority material preparation model;

[0153] An information calculation module that substitutes the existing data in the database into the first-priority material preparation model, the second-priority material preparation model, and the third-priority material preparation model respectively, and calculates scores through a weight algorithm to obtain the best material preparation model;

[0154] A material preparation module that sets relevant parameters of the preparation equipment according to the best material preparation model.

[0155] In summary, through multiple priority factors, including regional factors, material adaptation factors, cost factors, and project construction period factors, first-priority, second-priority, and third-priority material preparation models are established. By applying a weighted algorithm and combining the weights of each factor with the actual data, the weighted scores of each model are obtained, which can improve the mortar mixing efficiency, improve the construction quality, and reduce the corresponding costs.

[0156] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0157] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, and the combination of processes and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0158] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction means that implements the functions specified in one or more of the processes and / or blocks Figure 1 one or more of the processes and / or blocks Figure 1 specified in the block or blocks.

[0159] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes and / or blocks Figure 1 one or more of the processes and / or blocks Figure 1 specified in the block or blocks.

[0160] Although embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made in these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A preparation method and system based on mortar mixing, characterized in that: The method comprises: Obtain order information, target construction information and material supply chain information from the terminal, and record the obtained information in the corresponding database; Classify, screen, overlap and superimpose the information in the database to establish a material preparation model; Dividing the information in the database into a first priority material preparation model, a second priority material preparation model, and a third priority material preparation model; Substituting the data in the existing database into the first priority material preparation model, the second priority material preparation model and the third priority material preparation model respectively, and calculating the scores respectively through the weight algorithm to obtain the best material preparation model; Set relevant parameters of preparation equipment according to the optimal material preparation model.

2. The preparation method and system based on mortar mixing according to claim 1, characterized in that: In the step of acquiring order information, target construction information and material supply chain information from the terminal and recording the acquired information in a corresponding database, The order information obtained from the terminal device includes but is not limited to mortar mixing material information, output mortar production information, construction target area location information and construction project attribute information.

3. The preparation method and system based on mortar mixing according to claim 2, characterized in that: In the step of classifying, screening, overlapping and superimposing the information in the database to establish a material preparation model, After obtaining the information, the corresponding mortar mixing material classification library, mortar proportion classification library, and regional standard mortar output classification library in the database are matched with the above-obtained information to derive a material preparation model for how many different mortar types and mortar outputs can be prepared.

4. The preparation method and system based on mortar mixing according to claim 1, characterized in that: In the step of dividing the information in the database into a first priority material preparation model, a second priority material preparation model and a third priority material preparation model, In the first priority material preparation model, the second priority material preparation model and the third priority material preparation model, the priority is determined by regional factors, material adaptation factors and cost factors.

5. The preparation method and system based on mortar mixing according to claim 1, characterized in that: In the step of respectively substituting the data in the existing database into the first priority material preparation model, the second priority material preparation model and the third priority material preparation model, and calculating the scores respectively by a weight algorithm to obtain the best material preparation model, Substitute the data in the existing database into the first priority material preparation model, the second priority material preparation model and the third priority material preparation model respectively, and then calculate through the weight algorithm; n is the priority factor, i is the factor index, and j is the solution index; The weight algorithm calculation formula is as follows: \text{Weighted score}j=\sum{i=1}^{n}(s_{ij}\times w_i).

6. The preparation method and system based on mortar mixing according to claim 5, characterized in that: After substituting the data in the database into the formula, the corresponding scores of the first priority material preparation model, the second priority material preparation model and the third priority material preparation model are obtained, and the priority material preparation model with the highest score is selected.

7. A preparation system based on mortar mixing, characterized in that: The system comprises: An information acquisition module acquires order information, target construction information, and material supply chain information from the terminal, and records the acquired information in a corresponding database; The information processing module classifies, screens, overlaps and superimposes the information in the database to establish a material preparation model; An information integration module divides the information in the database into a first priority material preparation model, a second priority material preparation model, and a third priority material preparation model; The information calculation module substitutes the data in the existing database into the first priority material preparation model, the second priority material preparation model and the third priority material preparation model, and calculates the scores respectively through the weight algorithm to obtain the optimal material preparation model; Material preparation module sets the relevant parameters of the preparation equipment according to the optimal material preparation model.

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