CN119671215B - High-precision dimension preparation control method and system for novel building materials - Google Patents
High-precision dimension preparation control method and system for novel building materials Download PDFInfo
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- 238000002360 preparation method Methods 0.000 title claims abstract description 719
- 239000004566 building material Substances 0.000 title claims abstract description 131
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- 238000013507 mapping Methods 0.000 claims abstract description 68
- 238000005457 optimization Methods 0.000 claims abstract description 18
- 238000012360 testing method Methods 0.000 claims description 45
- 238000005266 casting Methods 0.000 claims description 43
- 239000002002 slurry Substances 0.000 claims description 36
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- 238000011002 quantification Methods 0.000 claims 1
- 238000000465 moulding Methods 0.000 abstract description 6
- 238000007582 slurry-cast process Methods 0.000 description 38
- 238000005299 abrasion Methods 0.000 description 15
- 238000009826 distribution Methods 0.000 description 8
- 239000000463 material Substances 0.000 description 6
- 239000004567 concrete Substances 0.000 description 4
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- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000004512 die casting Methods 0.000 description 1
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Abstract
The invention relates to the technical field of novel building material preparation, and discloses a high-precision dimension preparation control method and a high-precision dimension preparation control system for novel building materials, which are characterized in that by acquiring block preparation demand information and block preparation deadline information in block preparation tasks, based on a first mapping relation comparison table of equipment idle period of each block preparation equipment and block preparation process parameters and block preparation speeds, the block preparation speeds and dimension preparation precision determined according to different block preparation demand types in different block preparation tasks are considered, taking the preparation period as a constraint condition, taking the whole size preparation precision of the building block as an optimization target, solving an optimal building block preparation task allocation strategy, updating the current loss quantized value of each building block die by using a second mapping relation comparison table of the building block preparation process parameters and the die wear quantized values for preparing the single building block, balancing the contradiction between the preparation speed and the preparation molding quality, and improving the whole size precision of the building block preparation.
Description
Technical Field
The invention relates to the technical field of novel building material preparation, in particular to a high-precision size preparation control method and system for novel building materials.
Background
The novel building material is a building material which is produced by adopting a novel process, technology and material and has certain excellent performances or functions which are not possessed by the traditional building material, and covers a plurality of categories such as wall materials, heat preservation and insulation materials, waterproof sealing materials, decoration materials and the like. The novel building material has more emphasis on versatility, such as good heat preservation and insulation performance, sound insulation performance, fireproof performance and the like, so as to meet the requirements of modern buildings on energy conservation, environmental protection and comfortableness. However, the versatility of the new building materials means that the preparation process has higher requirements and difficulty compared with the traditional building materials, especially the new building materials like building blocks, and the new building materials generally have different types of building block requirements under different functional requirements of different application scenes.
At present, the existing novel building material preparation process of the building blocks has the defects that (1) the types of the building blocks required by different application scenes are different (such as common concrete building blocks, aerated concrete building blocks, gypsum building blocks, foam concrete building blocks and the like), and the slurry raw materials and proportions adopted by different types of building blocks or different types of building blocks of the same type are different, so that the slurry consistencies for performing mold casting when the building blocks are prepared are different, the casting action of different slurry consistencies usually needs to use the slurry casting pressure and the slurry casting speed matched with the same, the mold is better filled with slurry, the defects of material shortage, cavities and the like are reduced, the molding quality of the building blocks is further ensured, the building blocks under different building block preparation tasks have different preparation speeds, and if the contradiction between the preparation speed and the preparation quality are balanced, the preparation task is greatly difficult is brought to the distribution of the preparation of the building blocks; (2) the block size precision required by different application scenes is different (for example, the maximum allowable size error of the block required by a high-rise building is 1mm-2mm, the maximum allowable size error of the block required by a common building or a temporary building is 3mm-5 mm), the most direct influence of the block size error is that the mold is deformed and worn by the slurry casting pressure in the casting process, the influence of the casting performed by different slurry casting pressures on the block mold is different (for example, 2000 times of cyclic preparation and use can be completed when the casting and block preparation actions are performed on a standard block mold by adopting low slurry casting pressure), but adopt high thick liquid pouring pressure to carry out pouring and the preparation of building block action to standard building block mould and can only accomplish 500 times circulation preparation and use, and the real-time wearing and tearing situation of building block mould is different still can influence whether the building block of its preparation satisfies the error precision demand, has further promoted the distribution degree of difficulty of building block preparation task to the building block preparation equipment that possess different wearing and tearing situation building block moulds, can't fine promotion building block preparation's whole dimensional accuracy.
Therefore, how to improve the distribution rationality and scientificity of the block preparation task to the block preparation equipment with the block moulds with different abrasion conditions, balance the contradiction between the preparation speed and the preparation molding quality, and improve the overall dimensional accuracy of the block preparation is a technical problem to be solved.
Disclosure of Invention
The invention mainly aims to provide a high-precision dimension preparation control method and system for novel building materials, and aims to solve at least one technical problem.
In order to achieve the above object, the present invention provides a high-precision dimension preparation control method for a novel building material, comprising:
Acquiring a plurality of block preparation tasks received by a novel building material preparation server in a target period, wherein each block preparation task comprises block preparation demand information and block preparation period information;
Extracting a block preparation demand type and a block preparation demand quantity in the block preparation demand information, and generating a block preparation demand feature set of each block preparation task based on the block preparation demand type and the block preparation demand quantity;
Accessing a mold casting test database, and extracting a first mapping relation comparison table of block preparation process parameters and block preparation speeds and a second mapping relation comparison table of block preparation process parameters and mold abrasion quantized values for preparing single blocks, wherein the first mapping relation comparison table and the second mapping relation comparison table are stored in the mold casting test database;
Acquiring a preparation task list of each block preparation device, based on a device idle period and the first mapping relation comparison table in the preparation task list, taking a block preparation demand feature set of each block preparation task and a current loss quantization value of each block mold into consideration, taking block preparation deadline information of each block preparation task as constraint conditions, taking the sum of the dimension errors of the actual dimension parameters of each block when each block preparation task is executed and the standard dimension parameters of the block as an optimization target, optimizing and solving the block preparation device to which each block preparation task is allocated, and generating a block preparation task allocation strategy;
According to the block preparation task allocation strategy, a plurality of block preparation tasks received by a novel building material preparation server are sent to corresponding block preparation equipment, so that each block preparation equipment executes block preparation actions according to a preparation task list;
And when the completion of the block preparation action of each block preparation task is detected, updating the current loss quantized value of each block mold by using the second mapping relation comparison table.
Optionally, the steps of obtaining a plurality of building block preparation tasks received by the novel building material preparation server in the target period specifically include:
Acquiring a plurality of novel building material preparation orders received by a novel building material preparation server from a novel building material preparation request terminal, wherein the novel building material preparation orders comprise a plurality of novel building material preparation tasks of different novel building material types;
executing a first screening action according to the receiving time of each new building material preparation order, and screening out new building material preparation orders received by a new building material preparation server in a target period;
and executing a second screening action according to the new building material type of each new building material preparation task in the new building material preparation order, and screening out a plurality of building block preparation tasks of which the new building material types are building blocks.
Optionally, the step of extracting the block preparation requirement type and the block preparation requirement number in the block preparation requirement information, and generating a block preparation requirement feature set of each block preparation task based on the block preparation requirement type specifically includes:
Extracting the block preparation demand type and the block preparation demand quantity in the block preparation demand information;
Determining a block preparation process parameter range and a block standard size parameter of each block preparation task based on the block preparation requirement type;
and generating a block preparation demand feature set of each block preparation task by using the block preparation process parameter range, the block preparation demand quantity and the block standard size parameter.
Optionally, the block preparation demand type comprises a plurality of block preparation demand types with different slurry raw material ratios and different dimensional accuracies, and the block preparation process parameter range and the block standard size parameter step of each block preparation task are determined based on the block preparation demand type, specifically comprising the following steps:
Based on the target block preparation demand model corresponding to the block preparation demand type, matching slurry raw material proportions and standard size parameters of the block of the target block preparation demand model in a comparison table containing different block models and corresponding preparation data;
And inquiring a preparation parameter set corresponding to the preparation demand type of the target building block in a preparation control database by utilizing the slurry raw material proportion, extracting a plurality of parameter items in the preparation parameter set, and screening to determine the building block preparation process parameter range of each building block preparation task.
Optionally, the step of obtaining a plurality of new building material preparation orders received by the new building material preparation server from the new building material preparation request terminal specifically includes:
The novel building material preparation server sends a building block type selection list containing a plurality of building block preparation demand types with different slurry raw material ratios and different dimensional accuracies to a novel building material preparation request terminal;
and acquiring the block type selection information and the block preparation demand quantity information fed back by the novel building material preparation request terminal according to the block type selection list, and generating a novel building material preparation order corresponding to each novel building material preparation request.
Optionally, the block preparation process parameters comprise slurry casting pressure values, and the steps of accessing a mold casting test database, extracting a first mapping relation comparison table of the block preparation process parameters and the block preparation speed stored in the mold casting test database and a second mapping relation comparison table of the block preparation process parameters and the mold wear quantized values for preparing single blocks, and further comprise:
Performing a mold casting test action on a target test number of standard block molds according to the block preparation process parameters corresponding to different slurry casting pressure values;
Obtaining the time consumption of each standard building block mold for executing single mold casting by adopting different slurry casting pressure values, calculating the average value of the target test quantity and the time consumption, establishing a mapping relation with the corresponding slurry casting pressure value, and constructing a first mapping relation comparison table;
And obtaining a test size error of a block test size parameter and a block standard size parameter obtained after each mold casting is carried out by adopting different slurry casting pressure values to obtain each standard block mold obtained by carrying out the mold casting test action, counting the mold casting times when the test size error reaches a preset error value, calculating the average value of the target test number of mold casting times, taking the reciprocal of the average value as the mapping relation between the mold abrasion quantized value for preparing the single block and the corresponding slurry casting pressure value, and constructing a second mapping relation comparison table.
Optionally, a preparation task list of each block preparation device is obtained, based on a device idle period and the first mapping relation comparison table in the preparation task list, a block preparation demand feature set of each block preparation task and a current loss quantization value of each block mold are considered, block preparation deadline information of each block preparation task is taken as constraint conditions, and a minimum sum of dimension errors of a block actual dimension parameter and a block standard dimension parameter when each block preparation task is executed is taken as an optimization target, so that the block preparation device to which each block preparation task is allocated is optimally solved, and a block preparation task allocation strategy step is generated, and specifically includes:
Acquiring a preparation task list of each block preparation device, and extracting a device idle period of each block preparation device recorded in the preparation task list;
Taking a block preparation demand feature set of each block preparation task and a current loss quantized value of each block mold into consideration, taking the block preparation task execution completion time determined by the consumption time of single mold casting for executing slurry casting and the execution start time of the block preparation task according to the corresponding slurry casting pressure value when each block preparation task is distributed to block preparation equipment, satisfying block preparation deadline information as constraint conditions, taking the sum of the dimension errors determined by the block actual dimension parameter corresponding to the current loss quantized value of the execution start time and the block standard dimension parameter of the block mold configured by the block preparation equipment when each block preparation task is distributed to block preparation equipment as an optimization target, and optimizing and solving the execution time of the block preparation equipment to which each block preparation task is distributed and the adopted slurry casting pressure value;
a block preparation task allocation strategy is generated based on the execution time period of the block preparation apparatus to which each block preparation task is allocated and the slurry casting pressure value employed.
Optionally, according to the block preparation task allocation policy, a plurality of block preparation tasks received by a novel building material preparation server are sent to corresponding block preparation devices, so that each block preparation device executes a block preparation action step according to a preparation task list, and specifically includes:
extracting block preparation equipment and a slurry casting pressure value adopted to which each block preparation task is allocated recorded in the block preparation task allocation strategy;
and sending the plurality of block preparation tasks received by the novel building material preparation server to corresponding block preparation equipment, so that each block preparation equipment executes a block preparation action according to the slurry pouring pressure value corresponding to each block preparation task in the preparation task list.
Optionally, when the block preparation action of each block preparation task is detected to be completed, updating the current loss quantization value of each block mold by using the second mapping relation comparison table, including:
when the completion of the block preparation action of each block preparation task is detected, extracting the mapping relation between the die abrasion quantized value of the preparation single block and the corresponding slurry casting pressure value recorded in the second mapping relation comparison table;
And adding the die wear quantized value of the single block prepared corresponding to the slurry casting pressure value adopted when the block preparation task is executed to the current wear quantized value of the block die configured by the block preparation equipment so as to update the current wear quantized value of each block die.
In addition, in order to achieve the above object, the present invention also provides a high-precision dimension preparation control system for a novel building material, the system comprising:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring a plurality of block preparation tasks received by a novel building material preparation server in a target period, and each block preparation task comprises block preparation demand information and block preparation period information;
the extraction module is used for extracting the block preparation demand type and the block preparation demand quantity in the block preparation demand information and generating a block preparation demand feature set of each block preparation task based on the block preparation demand type and the block preparation demand quantity;
The access module is used for accessing the mold casting test database, and extracting a first mapping relation comparison table of the block preparation process parameters and the block preparation speed stored in the mold casting test database and a second mapping relation comparison table of the block preparation process parameters and the mold abrasion quantized values for preparing the single blocks;
The generation module is used for acquiring a preparation task list of each block preparation device, taking a block preparation demand feature set of each block preparation task and a current loss quantized value of each block mold into consideration based on a device idle period and the first mapping relation comparison table in the preparation task list, taking block preparation deadline information of each block preparation task as constraint conditions, taking the sum of the dimension error accumulation of the block actual dimension parameter and the block standard dimension parameter when each block preparation task is executed as an optimization target, optimizing and solving the block preparation device to which each block preparation task is allocated, and generating a block preparation task allocation strategy;
The execution module is used for sending a plurality of building block preparation tasks received by the novel building material preparation server to corresponding building block preparation equipment according to the building block preparation task allocation strategy so that each building block preparation equipment executes building block preparation actions according to the preparation task list;
and the updating module is used for updating the current loss quantized value of each block mold by using the second mapping relation comparison table when the completion of the block preparation action of each block preparation task is detected.
The invention has the beneficial effects that the high-precision dimension preparation control method and the high-precision dimension preparation control system for the novel building materials are provided, the preparation speed and the dimension preparation precision of the building blocks, which are determined according to different building block preparation requirement types in different building block preparation tasks, are taken into consideration, the preparation period is taken as a constraint condition, the whole dimension preparation precision of the building blocks is taken as an optimization target, the optimal building block preparation task allocation strategy is solved, the allocation rationality and the scientificity of the building block preparation tasks to the building block preparation equipment with the building block moulds with different abrasion conditions are improved, the contradiction between the preparation speed and the preparation molding quality is balanced, and the whole dimension precision of the building block preparation is improved.
Drawings
FIG. 1 is a schematic flow chart of a high-precision dimension preparation control method for a novel building material of the present invention;
FIG. 2 is a block diagram of a high precision dimensional preparation control system for a novel building material of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the invention provides a high-precision dimension preparation control method for a novel building material, and referring to fig. 1, fig. 1 is a flow diagram of an embodiment of the high-precision dimension preparation control method for the novel building material.
In this embodiment, a high-precision dimension preparation control method for a novel building material includes:
s100, acquiring a plurality of block preparation tasks received by a novel building material preparation server in a target period, wherein each block preparation task comprises block preparation demand information and block preparation period information;
S200, extracting a block preparation demand type and a block preparation demand quantity in the block preparation demand information, and generating a block preparation demand feature set of each block preparation task based on the block preparation demand type and the block preparation demand quantity;
S300, accessing a mold pouring test database, and extracting a first mapping relation comparison table of block preparation process parameters and block preparation speed and a second mapping relation comparison table of block preparation process parameters and mold abrasion quantized values for preparing single blocks, wherein the first mapping relation comparison table and the second mapping relation comparison table are stored in the mold pouring test database;
s400, acquiring a preparation task list of each block preparation device, taking a block preparation demand feature set of each block preparation task and a current loss quantized value of each block mold into consideration based on a device idle period and the first mapping relation comparison table in the preparation task list, taking block preparation deadline information of each block preparation task as constraint conditions, taking the sum of the accumulated sum of the dimension errors of the actual dimension parameters of each block when each block preparation task is executed and the standard dimension parameters of the block as an optimization target, optimizing and solving the block preparation device to which each block preparation task is distributed, and generating a block preparation task allocation strategy;
S500, according to the block preparation task allocation strategy, a plurality of block preparation tasks received by a novel building material preparation server are sent to corresponding block preparation equipment, so that each block preparation equipment executes block preparation actions according to a preparation task list;
And S600, when the completion of the block preparation action of each block preparation task is detected, updating the current loss quantized value of each block mold by using the second mapping relation comparison table.
In the preparation process of the novel building materials of the existing building blocks, the following defects exist:
(1) The types of the building blocks required by different application scenes are different (such as common concrete building blocks, aerated concrete building blocks, gypsum building blocks, foam concrete building blocks and the like), and slurry raw materials and proportions adopted by different types of building blocks or different types of building blocks of the same type are different, so that the consistency of slurry for performing mold casting when the building blocks are prepared is different, the casting action of different slurry consistency usually needs to use the slurry casting pressure and speed matched with the casting action when the mold casting is performed, the mold is better filled with slurry, defects such as shortage and cavity are reduced, and the forming quality of the building blocks is further ensured, so that the building blocks under different building block preparation tasks have different preparation speeds when the building block preparation equipment is controlled according to different slurry casting pressures and different preparation speeds, and the contradiction between the preparation speeds and the preparation forming quality is balanced, so that the distribution of the building block preparation task is more difficult;
(2) The block size precision required by different application scenes is different (for example, the maximum allowable size error of the block required by a high-rise building is 1mm-2mm, the maximum allowable size error of the block required by a common building or a temporary building is 3mm-5 mm), the most direct influence of the block size error is that the mold is deformed and worn by slurry casting pressure in the casting process, the influence of casting performed by different slurry casting pressures on the block mold is different (for example, 2000 times of cyclic preparation and use can be completed when casting and block preparation actions are performed on a standard block mold by adopting low slurry casting pressure, but only 500 times of cyclic preparation and use can be completed when casting and block preparation actions are performed on the standard block mold by adopting high slurry casting pressure), and the difference of real-time wear conditions of the block mold also can influence whether the prepared block meets the error precision requirement, so that the distribution difficulty of the block preparation task to block preparation equipment with the block preparation molds with different wear conditions is further improved, and the whole size precision of block preparation cannot be well improved.
In order to solve the above problems, in this embodiment, by acquiring the block preparation requirement information and the block preparation deadline information in the block preparation task, using the block preparation requirement type, generating a block preparation requirement feature set of each block preparation task, extracting a first mapping relation comparison table of block preparation process parameters and block preparation speeds and a second mapping relation comparison table of block preparation process parameters and die wear quantization values for preparing individual blocks stored in a die casting test database, considering the block preparation requirement feature set of each block preparation task and the current wear quantization value of each block die based on the equipment idle period and the first mapping relation comparison table of each block preparation equipment, optimizing and solving a block preparation task allocation strategy, driving each block preparation equipment to execute the allocated corresponding block preparation task, and updating the current wear quantization value of each block die by using the second mapping relation comparison table.
According to the invention, the preparation speed and the size preparation precision of the building block are determined according to different building block preparation requirement types by considering different building block preparation tasks, the preparation period is taken as a constraint condition, the whole size preparation precision of the building block is taken as an optimization target, the optimal distribution strategy of the building block preparation tasks is solved, the contradiction between the preparation speed and the preparation forming quality is balanced in the distribution rationality and scientificity of the building block preparation tasks to the building block preparation equipment with the building block moulds with different abrasion conditions, and the whole size precision of the building block preparation is improved.
In a preferred embodiment, the steps of obtaining a plurality of block preparation tasks received by a new building material preparation server within a target time period specifically include:
S110, acquiring a plurality of novel building material preparation orders received by a novel building material preparation server from a novel building material preparation request terminal, wherein the novel building material preparation orders comprise a plurality of novel building material preparation tasks of different novel building material types;
S120, executing a first screening action according to the receiving time of each new building material preparation order, and screening out new building material preparation orders received by a new building material preparation server in a target period;
S130, executing a second screening action according to the new building material type of each new building material preparation task in the new building material preparation order, and screening out a plurality of building block preparation tasks of which the new building material types are building blocks.
In this embodiment, by acquiring a new building material preparation order of the new building material preparation request terminal, the new building material preparation task whose receiving time falls into the target period and belongs to the building material category is extracted, and a final plurality of building material preparation tasks for executing scheduling assignment are obtained.
In a preferred embodiment, the block preparation requirement type and the number of block preparation requirements in the block preparation requirement information are extracted, and the block preparation requirement feature set step of generating each block preparation task based on the block preparation requirement type specifically includes:
S210, extracting the block preparation demand type and the block preparation demand quantity in the block preparation demand information;
S220, determining a block preparation process parameter range and a block standard size parameter of each block preparation task based on the block preparation requirement type;
s230, generating a block preparation demand feature set of each block preparation task by using the block preparation process parameter range, the block preparation demand quantity and the block standard size parameter.
In practical application, the block preparation demand types comprise a plurality of block preparation demand types with different slurry raw material ratios and different dimensional accuracies.
In a preferred embodiment, the step of determining the block preparation process parameter range and the block standard size parameter of each block preparation task based on the block preparation requirement type specifically comprises:
s221, based on a target block preparation demand model corresponding to the block preparation demand type, matching slurry raw material proportions and standard size parameters of the block of the target block preparation demand model in a comparison table containing different block models and corresponding preparation data;
S222, inquiring a preparation parameter set corresponding to the preparation demand type of the target building block in a preparation control database by utilizing the slurry raw material ratio, extracting a plurality of parameter items in the preparation parameter set, and screening to determine the building block preparation process parameter range of each building block preparation task.
In this embodiment, the block preparation requirement information includes a block preparation requirement type and a block preparation requirement number, firstly, a block preparation process parameter range and a block standard size parameter of each block preparation task are determined by using the block preparation requirement type, and then a block preparation requirement feature set of each block preparation task is generated according to the block preparation process parameter range, the block preparation requirement number and the block standard size parameter of each block preparation task, and the block preparation requirement feature set is used for recording the block preparation process parameter range, the block preparation requirement number and the block standard size parameter of each block preparation task, so that data support is provided for distribution of subsequent block preparation tasks.
On the basis, the step of obtaining a plurality of novel building material preparation orders received by the novel building material preparation server from the novel building material preparation request terminal specifically comprises the following steps:
S111, the novel building material preparation server sends a building block type selection list containing a plurality of building block preparation demand types with different slurry raw material ratios and different dimensional accuracies to a novel building material preparation request terminal;
S112, acquiring block type selection information and block preparation demand quantity information fed back by the novel building material preparation request terminal according to the block type selection list, and generating a novel building material preparation order corresponding to each novel building material preparation request.
In this embodiment, the new building material preparation order sent by the new building material preparation request terminal is mainly based on the block type selection list sent by the new building material preparation server before, so that the request user can select the required block types and quantity according to different slurry raw material ratios and a plurality of block preparation demand types with different size precision, thereby generating the new building material preparation order.
In practical applications, the block preparation process parameters include slurry casting pressure values.
In a preferred embodiment, accessing a mold casting test database, and extracting a first mapping relation comparison table of block preparation process parameters and block preparation speeds stored in the mold casting test database and a second mapping relation comparison table of block preparation process parameters and mold wear quantized values for preparing individual blocks, the method further comprises:
s301, performing a mold casting test action on a target test number of standard block molds according to block preparation process parameters corresponding to different slurry casting pressure values;
S302, obtaining the time consumption of each standard building block mold obtained by executing the mold casting test action to execute single mold casting by adopting different slurry casting pressure values, calculating the average value of the time consumption of the target test quantity, establishing a mapping relation with the corresponding slurry casting pressure value, and constructing a first mapping relation comparison table;
S303, obtaining a test size error of a block test size parameter and a block standard size parameter obtained after each mold casting is carried out by adopting different slurry casting pressure values for each standard block mold obtained by carrying out the mold casting test action, counting the mold casting times when the test size error reaches a preset error value, calculating the average value of the target test number of mold casting times, taking the reciprocal of the average value as a mapping relation between a mold abrasion quantized value for preparing a single block and a corresponding slurry casting pressure value, and constructing a second mapping relation comparison table.
On this basis, a preparation task list of each block preparation device is obtained, based on a device idle period and the first mapping relation comparison table in the preparation task list, a block preparation demand feature set of each block preparation task and a current loss quantization value of each block mold are considered, block preparation deadline information of each block preparation task is taken as constraint conditions, and the sum of the dimension errors of the actual dimension parameters of each block when the block preparation task is executed and the standard dimension parameters of the block is minimum as an optimization target, so that the block preparation device to which each block preparation task is allocated is optimally solved, and a block preparation task allocation strategy step is generated, and specifically comprises the following steps:
S410, acquiring a preparation task list of each block preparation device, and extracting a device idle period of each block preparation device recorded in the preparation task list;
S420, taking a block preparation demand feature set of each block preparation task and a current loss quantized value of each block mold into consideration, taking the block preparation task execution completion time determined by the consumption time of single mold casting for executing slurry casting according to a corresponding slurry casting pressure value and the execution start time of the block preparation task when each block preparation task is distributed to the block preparation equipment, meeting block preparation deadline information as a constraint condition, taking the sum of the block actual size parameter corresponding to the current loss quantized value of the execution start time and the size error determined by the block standard size parameter of the block mold configured by the block preparation equipment when each block preparation task is distributed to the block preparation equipment as an optimization target, and optimizing and solving the execution period of the block preparation equipment to which each block preparation task is distributed and the adopted slurry casting pressure value;
And S430, generating a block preparation task allocation strategy according to the execution period of the block preparation equipment to which each block preparation task is allocated and the adopted slurry casting pressure value.
In this embodiment, a first mapping relation comparison table of block preparation process parameters and block preparation speeds stored in a mold casting test database and a second mapping relation comparison table of block preparation process parameters and mold wear quantized values for preparing individual blocks are extracted, based on a device idle period and the first mapping relation comparison table of each block preparation device, a block preparation demand feature set of each block preparation task and a current wear quantized value of each block mold are considered, a block preparation task allocation strategy is optimized and solved, each block preparation device is driven to execute the allocated corresponding block preparation task, the preparation time limit is taken as constraint conditions, the preparation accuracy of the whole block size is taken as an optimization target, the optimal block preparation task allocation strategy is calculated, contradiction between preparation speeds and preparation molding quality is balanced, and the whole block preparation dimensional accuracy is improved.
In a preferred embodiment, according to the block preparation task allocation policy, a plurality of block preparation tasks received by a novel building material preparation server are sent to corresponding block preparation devices, so that each block preparation device executes a block preparation action step according to a preparation task list, and specifically includes:
s510, extracting block preparation equipment and slurry casting pressure values adopted to which each block preparation task is allocated recorded in the block preparation task allocation strategy;
And S520, sending a plurality of block preparation tasks received by the novel building material preparation server to corresponding block preparation equipment so that each block preparation equipment executes block preparation actions according to slurry casting pressure values corresponding to each block preparation task in the preparation task list.
On this basis, when the completion of the block preparation action of each block preparation task is detected, updating the current loss quantization value of each block mold by using the second mapping relation comparison table, specifically including:
S610, when the completion of the block preparation action of each block preparation task is detected, extracting the mapping relation between the quantized value of the die abrasion for preparing the single block and the corresponding slurry casting pressure value recorded in the second mapping relation comparison table;
And S620, adding the die abrasion quantized value of the single block prepared corresponding to the slurry casting pressure value adopted when the block preparation task is executed to the current abrasion quantized value of the block die configured by the block preparation equipment so as to update the current abrasion quantized value of each block die.
In this embodiment, after the block preparation action of each block preparation task is executed, the current loss quantization value of each block mold is updated by using the second mapping relation comparison table, so that the instantaneity of the loss quantization value of the block mold is ensured, the current dimensional error when the block is prepared by using the block mold can be accurately measured by using the loss quantization value with high instantaneity, and further, in the allocation strategy optimization process taking the preparation period as a constraint condition and the whole block size preparation precision as an optimization target, the allocation rationality and scientificity of the block preparation task to the block preparation equipment with the block molds with different abrasion conditions are balanced, and the contradiction between the preparation speed and the preparation molding quality is balanced, so that the whole block preparation dimensional precision is improved.
Referring to fig. 2, fig. 2 is a block diagram illustrating an embodiment of a high-precision dimension preparation control system for a novel building material according to the present invention.
As shown in fig. 2, the high-precision dimension preparation control system for a novel building material according to the embodiment of the invention includes:
an acquisition module 10 for acquiring a plurality of block preparation tasks received by a novel building material preparation server within a target period, wherein each block preparation task comprises block preparation demand information and block preparation deadline information;
The extracting module 20 is configured to extract a block preparation requirement type and a block preparation requirement number in the block preparation requirement information, and generate a block preparation requirement feature set of each block preparation task based on the block preparation requirement type and the block preparation requirement number;
The accessing module 30 is used for accessing a mold casting test database, and extracting a first mapping relation comparison table of the block preparation process parameters and the block preparation speed stored in the mold casting test database and a second mapping relation comparison table of the block preparation process parameters and the mold abrasion quantized values for preparing the single blocks;
A generating module 40, configured to obtain a preparation task list of each block preparation device, consider a block preparation demand feature set of each block preparation task and a current loss quantization value of each block mold based on a device idle period and the first mapping relation comparison table in the preparation task list, take block preparation deadline information of each block preparation task as constraint conditions, and take a sum of dimension errors of actual dimension parameters of each block when each block preparation task is executed and standard dimension parameters of the block as an optimization target, and optimize and solve the block preparation device to which each block preparation task is allocated, so as to generate a block preparation task allocation policy;
The execution module 50 is configured to send, according to the block preparation task allocation policy, a plurality of block preparation tasks received by a new building material preparation server to corresponding block preparation devices, so that each block preparation device executes a block preparation action according to a preparation task list;
And the updating module 60 is configured to update the current loss quantization value of each block mold by using the second mapping relation comparison table when the completion of the block preparation action of each block preparation task is detected.
Other embodiments or specific implementation manners of the high-precision dimension preparation control system for novel building materials can refer to the above method embodiments, and are not described herein.
It is appreciated that in the description herein, references to the terms "one embodiment," "another embodiment," "other embodiments," or "first through nth embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
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| CN115860592A (en) * | 2023-03-03 | 2023-03-28 | 一夫科技股份有限公司 | Quality detection and evaluation method and system for gypsum building blocks |
| CN118446502A (en) * | 2024-07-08 | 2024-08-06 | 绵阳职业技术学院 | Novel building material preparation control method, device, equipment and storage medium |
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| CN115860592A (en) * | 2023-03-03 | 2023-03-28 | 一夫科技股份有限公司 | Quality detection and evaluation method and system for gypsum building blocks |
| CN118446502A (en) * | 2024-07-08 | 2024-08-06 | 绵阳职业技术学院 | Novel building material preparation control method, device, equipment and storage medium |
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