CN113538172B - Method and device for intelligently acquiring content of concrete acicular stone - Google Patents
Method and device for intelligently acquiring content of concrete acicular stone Download PDFInfo
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- CN113538172B CN113538172B CN202110784947.6A CN202110784947A CN113538172B CN 113538172 B CN113538172 B CN 113538172B CN 202110784947 A CN202110784947 A CN 202110784947A CN 113538172 B CN113538172 B CN 113538172B
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- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
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- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/50—Reuse, recycling or recovery technologies
- Y02W30/91—Use of waste materials as fillers for mortars or concrete
Abstract
The application discloses a method and a device for intelligently acquiring content of concrete acicular stone, wherein the method comprises the following steps: acquiring information of a first building to be constructed, wherein the information of the first building comprises at least one of the following: floor height of the first building, area per floor of the first building; acquiring a second building matched with the first building according to the information of the first building, wherein the second building is a building which is already built; obtaining a concrete formula in a second building; obtaining the content of acicular stones in the concrete formula; the content of acicular stone blocks was used as a standard to screen stone materials for making concrete, wherein the concrete was used to construct the first building. The method solves the problem that the judgment is inaccurate because the judgment of the concrete made of the stone with the acicular content basically depends on manual work, and provides scientific and objective guarantee for selecting the stone with the acicular content.
Description
Technical Field
The application relates to the field of buildings, in particular to a method and a device for intelligently acquiring content of concrete acicular stone blocks.
Background
The macadam is the main component of the concrete, accounts for 35% -45% of the concrete component, and forms a concrete framework structure together with sand. The needle-sheet content of the broken stones is the main basis for judging the particle types of the broken stones by various relevant standards at present, and the index is directly related to the working performance and the mechanical performance for producing concrete and is an important index thereof.
Different concrete formulations are required for different buildings, and stones with different needle contents are required to be used in different concrete formulations. At present, the concrete made of stone with needle content is basically judged manually, which may cause inaccurate judgment.
Disclosure of Invention
The embodiment of the application provides a method and a device for intelligently acquiring content of acicular stone in concrete, so as to at least solve the problem that the judgment is inaccurate because the judgment is basically carried out manually when the stone with the acicular content is used for manufacturing the concrete.
According to one aspect of the application, a method for intelligently acquiring the content of the acicular stone in concrete is provided, which comprises the following steps: acquiring information of a first building to be constructed, wherein the information of the first building comprises at least one of the following: floor height of the first building, area per floor of the first building; acquiring a second building matched with the first building according to the information of the first building, wherein the second building is a building which is already built; obtaining a concrete formulation in the second building; obtaining the content of acicular stones in the concrete formula; screening a stone material for making concrete by using the content of the acicular stone blocks as a standard, wherein the concrete is used for building the first building.
Further, acquiring a second building matched with the first building according to the information of the first building comprises: acquiring a plurality of second buildings matched with the first building according to the information of the first building; and selecting a second building with the latest completion time from the plurality of second buildings as a basis for obtaining the concrete formula.
Further, the acquiring a second building matched with the first building according to the information of the first building comprises: and taking a second building which has the same floor height as the first building and is within a first range with the area difference of each floor of the first building as a second building matched with the first building.
Further, the area of each floor of the first building is an average of the areas of all the floors of the first building.
According to another aspect of the present application, there is also provided an apparatus for intelligently acquiring the content of acicular stone in concrete, comprising: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring information of a first building to be constructed, and the information of the first building comprises at least one of the following: floor height of the first building, area per floor of the first building; the second acquisition module is used for acquiring a second building matched with the first building according to the information of the first building, wherein the second building is a building which is already built; a third obtaining module for obtaining a concrete formula in the second building; the fourth acquisition module is used for acquiring the content of acicular stones in the concrete formula; and the screening module is used for screening stone materials for manufacturing concrete by taking the content of the acicular stone blocks as a standard, wherein the concrete is used for building the first building.
Further, the second obtaining module is configured to: acquiring a plurality of second buildings matched with the first building according to the information of the first building; and selecting a second building with the latest completion time from the plurality of second buildings as a basis for acquiring the concrete formula.
Further, the second obtaining module is configured to: and taking a second building which has the same floor height as the first building and is within a first range with the area difference of each floor of the first building as a second building matched with the first building.
Further, the area of each floor of the first building is an average of the areas of all the floors of the first building.
According to another aspect of the present application, there is also provided a memory, characterized by storing software, wherein the software is configured to perform the above method.
According to another aspect of the present application, there is also provided a processor for executing software, wherein the software is configured to perform the above method.
In the embodiment of the present application, obtaining information of a first building to be constructed is adopted, where the information of the first building includes at least one of: floor height of the first building, area per floor of the first building; acquiring a second building matched with the first building according to the information of the first building, wherein the second building is a building which is already built; obtaining a concrete formulation in the second building; obtaining the content of acicular stones in the concrete formula; screening a stone material for making concrete by using the content of the acicular stone blocks as a standard, wherein the concrete is used for building the first building. The method solves the problem that the judgment is inaccurate because the judgment of the concrete made of the stone with the acicular content basically depends on manual work, and provides scientific and objective guarantee for selecting the stone with the acicular content.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of a method for intelligently obtaining acicular stone content of concrete according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In this embodiment, a method for intelligently obtaining content of concrete acicular stone is provided, and fig. 1 is a flowchart of a method for intelligently obtaining content of concrete acicular stone according to the embodiment of the present application, including:
step S102, obtaining information of a first building to be constructed, wherein the information of the first building comprises at least one of the following: a floor height of the first building, an area per floor of the first building;
step S104, acquiring a second building matched with the first building according to the information of the first building, wherein the second building is a building which is already built;
in an alternative embodiment, a second building with the same floor height as the first building may be selected first, if there are a plurality of second buildings, an average area per floor of the first building is obtained, the second building with the average area difference of the first building within 10% is selected according to the average area per floor of the first building, and if there are still a plurality of second buildings, the second building with the average area per floor larger than that of the first building is selected. At this time, if there are a plurality of second buildings, the second building having the first floor, the second floor area, and the underground building area closest to the first building may be selected as the second building matched with the first building.
Step S106, obtaining a concrete formula in the second building;
the formula of the concrete is uploaded in advance, and the content of acicular stones in the concrete formula is also uploaded in advance.
Step S108, acquiring the content of acicular stones in the concrete formula;
as an alternative embodiment, information of a building which is already built and contents of acicular stones in a corresponding concrete formulation are used as a set of training data, wherein the information of the building is used as first data, the contents of the acicular stones are used as labels of the first data, whether the number of sets of data which are already acquired exceeds a threshold value or not is judged, and if the threshold value is exceeded, the server trains a machine learning model based on a neural network by using the plurality of sets of data as the training data. Each set of training data includes first data and a label. After the training has converged, the machine learning model can be used, which directly outputs the content of acicular rocks in the image, by inputting the information of the first building.
If the number of sets is less than the above threshold, step S102 to step S108 are used. As another alternative, if a model is trained, a first content outputted by the model and a second content obtained by the above steps are obtained, and if the first content is different from the second content, an average value of the first content and the second content is used as the screening criterion in step S110.
And S110, screening stone materials for manufacturing concrete by taking the content of the acicular stone blocks as a standard, wherein the concrete is used for building the first building.
The method solves the problem of inaccurate judgment caused by that the amount of the acicular stone used for manufacturing the concrete is basically judged by manpower, and provides scientific and objective guarantee for selecting the acicular stone.
The content of acicular stones can be obtained in various ways, for example, by obtaining an image, wherein the image is obtained by photographing the arranged gravels; acquiring an image of each lithotriptic in the image; acquiring the imaging minimum bounding rectangle of each broken stone in the image; and determining the crushed stones corresponding to the minimum circumscribed rectangle with the length-width ratio within a preset range as acicular crushed stones. Acquiring the weight of all the placed gravels and the weight of the needle-shaped gravels; and acquiring the weight ratio of the needle-shaped crushed stones in all the crushed stones.
For example, the gravel corresponding to the minimum bounding rectangle with the aspect ratio being greater than or equal to a first threshold is determined to be acicular gravel, wherein the first threshold is greater than or equal to 2. For example, the first threshold is 2.4.
In an alternative embodiment, if a plurality of matched second buildings exist, acquiring information of the plurality of matched second buildings matched with the first building according to the information of the first building; selecting a second building with the latest completion time from the plurality of second buildings as a basis for obtaining the concrete formula.
There are many ways to acquire the second building matching the first building, for example, a second building having a difference in floor area per floor from the first building (for example, the floor area per floor of the first building is an average of the floor areas of all floors of the first building) within a first range and having the same floor height as the first building may be used as the second building matching the first building.
The concrete in the above examples has various formulations.
The concrete formula comprises, by weight, 100-120 parts of cement, 32-48 parts of slag powder, 24-45 parts of class C secondary fly ash, 260-550 parts of broken stone, 85-150 parts of a liquid hardening agent, 0.5-1 part of high-density polypropylene resin fiber, 290-465 parts of mixed sand, 20-35 parts of zeolite powder, 2-4 parts of a high-efficiency water reducing agent, 1-1.5 parts of a CTF concrete synergist and 75-120 parts of surface water.
The slag powder is added into the formula, so that the cement consumption can be reduced, the hydration heat of the concrete can be reduced, the microstructure of the concrete can be improved, the void ratio of cement paste is obviously reduced, the binding power of an aggregate interface is enhanced, and the strength and the physical and mechanical properties of the concrete are greatly improved.
The fly ash particles are in a porous honeycomb structure, have large specific surface area and high adsorption activity and water absorption performance, and have the action principle that the fly ash has certain reaction activity and can chemically react with a cement hydration product Ca (OH) 2 and water at normal temperature to generate C-S-H gel which has strong alkali absorption capacity, and the C-S-H gel mainly absorbs alkali at the silanol (Si-OH) position of the gel and has strong alkali absorption capacity along with the increase of the silanol (Si-OH), so that the addition of the fly ash in the formula can effectively inhibit the alkali-aggregate reaction of concrete. In addition, the zeolite powder comprises natural zeolite powder and superfine zeolite powder, wherein the zeolite powder can adsorb free sodium ions into specific crystal holes and channels of the zeolite powder due to the special crystal structure and excellent physical and chemical properties of the zeolite powder, so that the concentration of free sodium is reduced, the hydration and hardening processes of cement can be promoted, and the reaction of alkali aggregate is effectively inhibited.
The high-density polypropylene resin fiber is a material specially used for plasticity cracking prevention in cement concrete, has good chemical stability, mechanical property and heat resistance, is resistant to acid, alkali and organic solvents, does not react with most chemicals (such as fuming nitric acid, chromic acid solution, halogen, benzene, carbon tetrachloride, chloroform and the like), can effectively prevent or reduce initial plasticity cracking of the cement concrete, and can be used as a 'secondary reinforcing rib' of the cement concrete.
The liquid hardener is also called as liquid hardener or concrete hardener, is a latest generation of permeable hardener material, is an environment-friendly colorless transparent liquid (tasteless, nontoxic and noncombustible), can permeate into the concrete surface layer for 2-5mm, and cures concrete components to form a solid body so as to achieve the effects of hardening and strengthening concrete.
The CTF concrete synergist improves the surface area of cement particles by dispersing the cement particles, so that the whole concrete is more compact and firm, and the chloride ion corrosion resistance of the concrete can be effectively improved; the high-efficiency water reducing agent has the main functions of reducing the water content in the concrete, reducing the consumption of the concrete and reducing the cost, and also has the functions of improving the strength of the concrete and improving the working performance, bleeding property, frost resistance, impermeability and corrosion resistance of the concrete.
For another example, the concrete formulation comprises the following components in parts by weight: 126-140 parts of cement; 125.5 to 134 portions of superfine mineral admixture; 80 parts of fly ash; 300 parts of yellow sand; 578-588 parts of washed sand; 1010-1020 parts of macadam; 7 parts of a water reducing agent; 120-132.6 parts of water.
For another example, when the weight of the needle-shaped crushed stones exceeds 50% of the total crushed stones, the raw materials in the formula of the concrete are as follows according to the weight percentage: 5% of cement, 1% of coarse sand, 1% of water, 5% of pebbles, 3% of a water reducing agent, 2% of phenolic fibers, 1% of montmorillonite, 11% of microbeads, 5% of kaolin, 3% of phosphorous slag micro powder, 3% of diatomite powder, 1% of phosphogypsum, 5% of fine sand, 1% of a gel material, 4% of polypropylene fibers, 2% of glass fibers, 0.4% of bone meal, 1% of lichen thistle, 2% of iron powder and 1% of sodium sulfite powder, wherein the concrete has excellent thermal shock resistance stability but insufficient high temperature resistance.
When the needle-shaped crushed stones are less than or equal to 30 percent of the total weight of the crushed stones, the raw materials in the formula comprise the following components in percentage by weight: 15% of cement, 5% of coarse sand, 10% of water, 15% of pebbles, 9% of water reducing agent, 3% of phenolic fiber, 5% of montmorillonite, 19% of clay, 7% of phosphorous slag micropowder, 5% of diatomite powder, 5% of phosphogypsum, 10% of fine sand, 1.5% of gel material, 5% of polypropylene fiber, 4% of glass fiber, 0.6% of bone meal, 2% of lichen thistle, 4% of iron powder and 3% of sodium sulfite powder, wherein the concrete has high-temperature resistance but insufficient thermal shock resistance.
When the weight of the needle-shaped crushed stones is less than or equal to 50 percent and more than 30 percent of the total crushed stones, the raw materials in the formula comprise the following components in percentage by weight: 10% of cement, 4% of coarse sand, 6% of water, 11% of pebbles, 7% of water reducing agent, 2.3% of phenolic fibers, 1.5% of montmorillonite, 16% of microbeads, 5.7% of kaolin, 3.5% of phosphorus slag micropowder, 3.5% of diatomite powder, 1.5% of phosphogypsum, 7% of fine sand, 1.4% of gel material, 4.5% of polypropylene fibers, 2.4% of glass fibers, 0.5% of bone meal, 1.2% of lichen thistle, 2.4% of iron powder and 1.3% of sodium sulfite powder, wherein the concrete has higher thermal shock resistance and high temperature resistance.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor configured to run the computer program to perform the method in the above embodiments.
The programs described above may be run on a processor or stored in memory (or referred to as computer-readable media), which includes both non-transitory and non-transitory, removable and non-removable media, that enable storage of information by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
These computer programs may 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 such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks, and corresponding steps may be implemented by different modules. In this embodiment, an apparatus is provided, which is called an apparatus for intelligently acquiring the content of acicular stone in concrete, and comprises: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring information of a first building to be constructed, and the information of the first building comprises at least one of the following: a floor height of the first building, an area per floor of the first building; the second acquisition module is used for acquiring a second building matched with the first building according to the information of the first building, wherein the second building is a building which is already built; a third obtaining module for obtaining a concrete formula in the second building; the fourth acquisition module is used for acquiring the content of acicular stones in the concrete formula; and the screening module is used for screening stone materials for manufacturing concrete by taking the content of the acicular stone blocks as a standard, wherein the concrete is used for building the first building.
The apparatus corresponds to the above method steps, which have already been described, and are not described herein again.
For example, the second obtaining module is configured to: acquiring a plurality of second buildings matched with the first building according to the information of the first building; and selecting a second building with the latest completion time from the plurality of second buildings as a basis for obtaining the concrete formula.
For example, the second obtaining module is configured to: and taking a second building which is in a first range of area difference of each floor of the first building and has the same floor height as the first building as a second building matched with the first building.
The embodiment solves the problem that the judgment is inaccurate because the concrete is basically judged by manpower by using the stone with acicular content, and provides scientific and objective guarantee for selecting the stone with acicular content.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (4)
1. A method for intelligently acquiring the content of acicular stone in concrete is characterized by comprising the following steps:
acquiring information of a first building to be constructed, wherein the information of the first building comprises at least one of the following: floor height of the first building, area per floor of the first building;
acquiring a second building matched with the first building according to the information of the first building, wherein the second building is a building which is already built;
obtaining a concrete formulation in the second building;
obtaining a second content of acicular stones in the stone material in the concrete formulation;
taking the information of the built building and the content of acicular stones in the corresponding concrete formula as a group of training data, wherein the information of the building is taken as first data, the content of the acicular stones is taken as a label of the first data, whether the group number of the acquired data exceeds a threshold value or not is judged, and if the group number of the acquired data exceeds the threshold value, the server uses a plurality of groups of data as the training data to train a machine learning model based on a neural network; each group of training data comprises first data and a label; inputting information of the first building in the machine learning model after the training convergence, and directly outputting the first content of the acicular stone blocks by the model; if the first content and the second content are different, using the average of the first content and the second content as a screening criterion for the following step;
screening a stone material for making concrete by using the content of the acicular stone blocks as a standard, wherein the concrete is used for building the first building; wherein when the weight of the needle-shaped broken stones is more than 50 percent of the total weight of the broken stones, the raw materials in the formula of the concrete comprise the following components in percentage by weight: 5% of cement, 1% of coarse sand, 1% of water, 5% of pebbles, 3% of a water reducing agent, 2% of phenolic fibers, 1% of montmorillonite, 11% of microbeads, 5% of kaolin, 3% of phosphorus slag micro-powder, 3% of diatomite powder, 1% of phosphogypsum, 5% of fine sand, 1% of gel material, 4% of polypropylene fibers, 2% of glass fibers, 0.4% of bone meal, 1% of lichen thistle, 2% of iron powder and 1% of sodium sulfite powder; when the needle-shaped crushed stones are less than or equal to 30 percent of the total weight of the crushed stones, the raw materials in the formula comprise the following components in percentage by weight: 15% of cement, 5% of coarse sand, 10% of water, 15% of pebbles, 9% of water reducing agent, 3% of phenolic fiber, 5% of montmorillonite, 19% of clay, 7% of kaolin, 5% of phosphorous slag micropowder, 5% of diatomite powder, 5% of phosphogypsum, 10% of fine sand, 1.5% of gel material, 5% of polypropylene fiber, 4% of glass fiber, 0.6% of bone meal, 2% of lichen thistle, 4% of iron powder and 3% of sodium sulfite powder; when the weight of the needle-shaped crushed stone is less than or equal to 50 percent and more than 30 percent of the total weight of the crushed stone, the raw materials in the formula comprise the following components in percentage by weight: 10% of cement, 4% of coarse sand, 6% of water, 11% of pebbles, 7% of water reducing agent, 2.3% of phenolic fibers, 1.5% of montmorillonite, 16% of microbeads, 5.7% of kaolin, 3.5% of phosphorus slag micro-powder, 3.5% of diatomite powder, 1.5% of phosphogypsum, 7% of fine sand, 1.4% of gel material, 4.5% of polypropylene fibers, 2.4% of glass fibers, 0.5% of bone meal, 1.2% of lichen thistle, 2.4% of iron powder and 1.3% of sodium sulfite powder.
2. The method of claim 1, wherein obtaining a second building matched to the first building from the information of the first building comprises:
acquiring a plurality of second buildings matched with the first building according to the information of the first building;
and selecting a second building with the latest completion time from the plurality of second buildings as a basis for obtaining the concrete formula.
3. The method of claim 1, wherein obtaining a second building matched to the first building from the information of the first building comprises:
and taking a second building which has the same floor height as the first building and is within a first range with the area difference of each floor of the first building as a second building matched with the first building.
4. A method according to claim 3, wherein the area of each floor of the first building is an average of the area of all the floors of the first building.
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