A high-precision size preparation control method and system for new building materials

Abstract

The invention relates to the technical field of preparation of new building materials, and discloses a high-precision size preparation control method and system for new building materials. By acquiring block preparation demand information and block preparation deadline information in a block preparation task, based on a first mapping relationship comparison table between an equipment idle period of each block preparation equipment and a block preparation process parameter and a block preparation speed, the block preparation speed and size preparation accuracy determined for different block preparation demand types in different block preparation tasks are considered, the preparation deadline is used as a constraint condition, and the overall size preparation accuracy of the block is used as an optimization target, an optimal block preparation task allocation strategy is obtained, and a second mapping relationship comparison table between a block preparation process parameter and a mold wear quantization value for preparing a single block is used to update the current loss quantization value of each block mold, balance the contradiction between the preparation speed and the preparation molding quality, and improve the overall size accuracy of the block preparation.

Description

Technical Field

[0001] The present invention relates to the technical field of new building material preparation, and in particular to a high-precision size preparation control method and system for new building materials. Background Art

[0002] New building materials refer to building materials that are produced using new processes, technologies, and materials and have certain excellent properties or functions that traditional building materials do not have. They cover multiple categories such as wall materials, thermal insulation materials, waterproof sealing materials, and decorative materials. New building materials place more emphasis on versatility, such as good thermal insulation, sound insulation, and fire resistance, in order to meet the requirements of modern buildings for energy conservation, environmental protection, and comfort. However, the versatility of new building materials means that their preparation process has higher requirements and difficulty than traditional building materials, especially new building materials such as blocks, which usually have different types of blocks required under different functional requirements in different application scenarios.

[0003] At present, the preparation process of existing new building materials such as blocks has the following defects: (1) Different types of blocks are required for different application scenarios (such as ordinary concrete blocks, aerated concrete blocks, gypsum blocks, foam concrete blocks, etc.), and different types of blocks or different models of the same type of blocks use different slurry raw materials and proportions, which makes the slurry consistency of mold pouring different during block preparation. Usually, when pouring into the mold, the pouring action for different slurry consistencies needs to use the corresponding slurry pouring pressure and speed to help the slurry better fill the mold, reduce defects such as lack of material and voids, and thus ensure the molding quality of the blocks. This results in different preparation speeds for blocks under different block preparation tasks. If the block preparation action of the block preparation equipment is to be controlled according to different slurry pouring pressures and different preparation speeds, and the contradiction between the preparation speed and the preparation molding quality is balanced, it brings great difficulty to the allocation of block preparation tasks; (2) Different application scenarios require different block size accuracy (for example, the maximum allowable size error of blocks required for high-rise buildings is 1mm-2mm, and the maximum allowable size error of blocks required for ordinary buildings or temporary buildings is 3mm-5mm). The most direct impact of block size error is the deformation and wear of the mold caused by the slurry pouring pressure during the pouring process, and different slurry pouring pressures have different effects on the block mold when performing pouring (for example, when low slurry pouring pressure is used to perform pouring and block preparation actions on a standard block mold, 2000 cycles of preparation can be completed, but when high slurry pouring pressure is used to perform pouring and block preparation actions on a standard block mold, only 500 cycles of preparation can be completed). In addition, the different real-time wear conditions of the block mold will also affect whether the blocks prepared by it meet the error accuracy requirements, further increasing the difficulty of allocating block preparation tasks to block preparation equipment with block molds with different wear conditions, and failing to improve the overall size accuracy of block preparation.

[0004] Therefore, how to improve the rationality and scientificity of the allocation of block preparation tasks to block preparation equipment with block molds with different wear conditions, balance the contradiction between preparation speed and preparation molding quality, and improve the overall dimensional accuracy of block preparation is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The main purpose of the present invention is to provide a high-precision size preparation control method and system for new building materials, aiming to solve at least one of the above-mentioned technical problems.

[0006] To achieve the above object, the present invention provides a high-precision size preparation control method for new building materials, comprising:

[0007] Acquire a number of block preparation tasks received by the new building material preparation server within a target period; wherein each block preparation task includes block preparation demand information and block preparation deadline information;

[0008] Extracting the block preparation requirement type and the block preparation requirement quantity from the block preparation requirement information, and generating a block preparation requirement feature set for each block preparation task based on the block preparation requirement type and the block preparation requirement quantity;

[0009] Accessing a mold casting test database, extracting a first mapping relationship comparison table between block preparation process parameters and block preparation speed and a second mapping relationship comparison table between block preparation process parameters and mold wear quantization values ​​for preparing a single block stored in the mold casting test database;

[0010] Obtaining a preparation task list for each block preparation device, based on the equipment idle time period in the preparation task list and the first mapping relationship comparison table, considering the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, taking the block preparation deadline information of each block preparation task as a constraint condition, taking the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed as the optimization goal, optimizing and solving the block preparation device to which each block preparation task is assigned, and generating a block preparation task allocation strategy;

[0011] According to the block preparation task allocation strategy, a number of block preparation tasks received by the new building material preparation server are sent to corresponding block preparation devices, so that each block preparation device performs a block preparation action according to the preparation task list;

[0012] When it is detected that the block preparation action of each block preparation task is completed, the current loss quantization value of each block mold is updated using the second mapping relationship comparison table.

[0013] Optionally, obtaining several steps of building block preparation tasks received by the new building material preparation server within the target time period specifically includes:

[0014] Acquire a number of new building material preparation orders received by the new building material preparation server from the new building material preparation request terminal; wherein the new building material preparation order includes a number of new building material preparation tasks of different types of new building materials;

[0015] Performing a first screening action according to the receiving time of each new building material preparation order, screening out the new building material preparation orders received by the new building material preparation server within the target time period;

[0016] A second screening action is performed according to the new building material type of each new building material preparation task in the new building material preparation order to screen out a number of building block preparation tasks whose new building material type is building blocks.

[0017] Optionally, extracting the block preparation requirement type and the block preparation requirement quantity in the block preparation requirement information, and generating a block preparation requirement feature set for each block preparation task based on the block preparation requirement type, specifically includes:

[0018] Extracting the block preparation requirement type and the block preparation requirement quantity from the block preparation requirement information;

[0019] Based on the block preparation requirement type, determining the block preparation process parameter range and block standard size parameters for each block preparation task;

[0020] The block preparation requirement feature set of each block preparation task is generated by using the block preparation process parameter range, the block preparation requirement quantity and the block standard size parameter.

[0021] Optionally, the block preparation requirement type includes several block preparation requirement models with different slurry raw material ratios and different size precisions; based on the block preparation requirement type, determining the block preparation process parameter range and block standard size parameter steps for each block preparation task specifically includes:

[0022] Based on the target block preparation requirement model corresponding to the block preparation requirement type, matching the slurry raw material ratio and block standard size parameters of the target block preparation requirement model in a comparison table containing different block models and corresponding preparation data;

[0023] The slurry raw material ratio is used to query the preparation parameter set corresponding to the target block preparation requirement model in the preparation control database, and several parameter items in the preparation parameter set are extracted and screened to determine the block preparation process parameter range for each block preparation task.

[0024] Optionally, the steps of obtaining several new building material preparation order steps received by the new building material preparation server from the new building material preparation request terminal specifically include:

[0025] The new building material preparation server sends a block type selection list including several types of block preparation requirement models with different slurry raw material ratios and different size precisions to the new building material preparation request terminal;

[0026] The terminal for obtaining the new building material preparation request generates a new building material preparation order corresponding to each new building material preparation request according to the building block type selection information and the building block preparation demand quantity information fed back by the building block type selection list.

[0027] Optionally, the block preparation process parameters include a slurry pouring pressure value; before the step of accessing a mold pouring test database to extract a first mapping relationship comparison table between the block preparation process parameters and the block preparation speed and a second mapping relationship comparison table between the block preparation process parameters and the mold wear quantization value for preparing a single block stored in the mold pouring test database, the method further includes:

[0028] Performing mold pouring test actions on a target number of standard block molds according to the block preparation process parameters corresponding to different slurry pouring pressure values;

[0029] Obtain the time consumed by each standard block mold to perform a single mold pouring using different slurry pouring pressure values ​​obtained by executing the mold pouring test action, calculate the average of the target test number of time consumed and establish a mapping relationship with the corresponding slurry pouring pressure value, and construct a first mapping relationship comparison table;

[0030] Obtain the test size errors of the block test size parameters and the block standard size parameters obtained after each mold pouring by each standard block mold using different slurry pouring pressure values ​​obtained by executing the mold pouring test action, count the number of mold pouring times when the test size error reaches a preset error value, calculate the average value of the target test number of mold pouring times, use the reciprocal of the average value as the mapping relationship between the mold wear quantification value for preparing a single block and the corresponding slurry pouring pressure value, and construct a second mapping relationship comparison table.

[0031] Optionally, a preparation task list of each block preparation device is obtained, and based on the equipment idle time period in the preparation task list and the first mapping relationship comparison table, a block preparation requirement feature set of each block preparation task and a current loss quantization value of each block mold are considered, the block preparation deadline information of each block preparation task is used as a constraint condition, and the cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed is minimized as an optimization target, and the block preparation device to which each block preparation task is assigned is optimized and solved to generate a block preparation task allocation strategy step, which specifically includes:

[0032] Obtain a preparation task list for each building block preparation device, and extract the device idle time period of each building block preparation device recorded in the preparation task list;

[0033] Considering the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, when each block preparation task is assigned to the block preparation equipment, the time consumed for single mold pouring of slurry pouring according to the corresponding slurry pouring pressure value and the block preparation task execution completion time determined by the execution start time of the block preparation task, the block preparation deadline information is satisfied as the constraint condition, and when each block preparation task is assigned to the block preparation equipment for execution, the cumulative sum of the size errors determined by the actual size parameters of the blocks corresponding to the current loss quantization value of the block mold configured by the block preparation equipment at the execution start time and the standard size parameters of the blocks is minimized as the optimization goal, and the execution time period of the block preparation equipment to which each block preparation task is assigned and the adopted slurry pouring pressure value are optimized;

[0034] A block preparation task allocation strategy is generated according to the execution period of the block preparation equipment to which each block preparation task is allocated and the slurry pouring pressure value adopted.

[0035] Optionally, according to the block preparation task allocation strategy, a plurality of block preparation tasks received by the new building material preparation server are sent to corresponding block preparation devices, so that each block preparation device performs block preparation action steps according to the preparation task list, specifically including:

[0036] Extracting the block preparation equipment and the slurry pouring pressure value used for each block preparation task assigned to it recorded in the block preparation task allocation strategy;

[0037] Several block preparation tasks received by the new building material preparation server are sent to corresponding block preparation equipment, so that each block preparation equipment performs the block preparation action according to the slurry pouring pressure value corresponding to each block preparation task in the preparation task list.

[0038] Optionally, when it is detected that the block preparation action of each block preparation task is completed, the step of updating the current loss quantization value of each block mold by using the second mapping relationship comparison table specifically includes:

[0039] When it is detected that the block preparation action of each block preparation task is completed, extracting the mapping relationship between the mold wear quantization value for preparing a single block and the corresponding slurry pouring pressure value recorded in the second mapping relationship comparison table;

[0040] The quantified value of mold wear for preparing a single block corresponding to the slurry pouring pressure value used when executing the block preparation task is added to the current quantified value of loss of the block mold configured for the block preparation equipment to update the current quantified value of loss of each block mold.

[0041] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a high-precision size preparation control system for new building materials, the system comprising:

[0042] An acquisition module is used to acquire a number of block preparation tasks received by the new building material preparation server within a target period; wherein each block preparation task includes block preparation demand information and block preparation deadline information;

[0043] An extraction module, used to extract the type of block preparation requirement and the number of block preparation requirements in the block preparation requirement information, and generate a block preparation requirement feature set for each block preparation task based on the type of block preparation requirement and the number of block preparation requirements;

[0044] An access module is used to access a mold casting test database, and extract a first mapping relationship comparison table between block preparation process parameters and block preparation speed and a second mapping relationship comparison table between block preparation process parameters and mold wear quantization values ​​for preparing a single block stored in the mold casting test database;

[0045] A generation module is used to obtain a preparation task list for each block preparation device, based on the equipment idle time period in the preparation task list and the first mapping relationship comparison table, consider the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, take the block preparation deadline information of each block preparation task as a constraint condition, take the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed as an optimization goal, optimize and solve the block preparation device to which each block preparation task is assigned, and generate a block preparation task allocation strategy;

[0046] An execution module, for sending a number of block preparation tasks received by the new building material preparation server to corresponding block preparation devices according to the block preparation task allocation strategy, so that each block preparation device performs a block preparation action according to the preparation task list;

[0047] The updating module is used to update the current loss quantization value of each block mold by using the second mapping relationship comparison table when it is detected that the block preparation action of each block preparation task is completed.

[0048] The beneficial effects of the present invention are as follows: a high-precision size preparation control method and system for new building materials are proposed, by considering the block preparation speed and size preparation accuracy determined by different block preparation demand types in different block preparation tasks, taking the preparation deadline as a constraint condition, and taking the overall size preparation accuracy of the blocks as an optimization goal, the optimal block preparation task allocation strategy is obtained, while improving the rationality and scientificity of the allocation of block preparation tasks to block preparation equipment with block molds in different wear conditions, balancing the contradiction between the preparation speed and the preparation molding quality, and improving the overall size accuracy of block preparation. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic flow chart of the high-precision size preparation control method for new building materials of the present invention;

[0050] Figure 2 The present invention is a structural block diagram of a high-precision size preparation control system for new building materials.

[0051] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0053] The embodiment of the present invention provides a high-precision size preparation control method for new building materials, referring to Figure 1 , Figure 1 The figure is a flow chart of an embodiment of a high-precision size preparation control method for new building materials according to the present invention.

[0054] In this embodiment, a high-precision size preparation control method for new building materials includes:

[0055] S100: Acquire a number of block preparation tasks received by the new building material preparation server within a target period; wherein each block preparation task includes block preparation requirement information and block preparation deadline information;

[0056] S200: extracting the block preparation requirement type and the block preparation requirement quantity from the block preparation requirement information, and generating a block preparation requirement feature set for each block preparation task based on the block preparation requirement type and the block preparation requirement quantity;

[0057] S300: Accessing a mold casting test database, extracting a first mapping relationship comparison table between block preparation process parameters and block preparation speed and a second mapping relationship comparison table between block preparation process parameters and mold wear quantization values ​​for preparing a single block stored in the mold casting test database;

[0058] S400: Obtain a preparation task list for each block preparation device, based on the equipment idle time period in the preparation task list and the first mapping relationship comparison table, consider the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, take the block preparation deadline information of each block preparation task as a constraint condition, take the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed as the optimization goal, optimize and solve the block preparation device to which each block preparation task is assigned, and generate a block preparation task allocation strategy;

[0059] S500: according to the block preparation task allocation strategy, a plurality of block preparation tasks received by the new building material preparation server are sent to corresponding block preparation devices, so that each block preparation device performs a block preparation action according to the preparation task list;

[0060] S600: When it is detected that the block preparation action of each block preparation task is completed, the current loss quantization value of each block mold is updated using the second mapping relationship comparison table.

[0061] It should be noted that the following defects exist in the preparation process of existing new building materials such as building blocks:

[0062] (1) Different types of blocks are required for different application scenarios (such as ordinary concrete blocks, aerated concrete blocks, gypsum blocks, foam concrete blocks, etc.), and different types of blocks or different models of the same type of blocks use different slurry raw materials and proportions, which makes the slurry consistency of mold casting different during block preparation. Usually, when casting in the mold, the pouring action for different slurry consistencies needs to use a slurry pouring pressure and speed that are suitable for it, so as to help the slurry better fill the mold and reduce defects such as lack of material and voids, thereby ensuring the molding quality of the blocks. This results in different preparation speeds for blocks under different block preparation tasks. If the block preparation action of the block preparation equipment is to be controlled according to different slurry pouring pressures and different preparation speeds, so as to balance the contradiction between the preparation speed and the preparation molding quality, it brings great difficulty to the allocation of block preparation tasks;

[0063] (2) Different application scenarios require different block size accuracy (for example, the maximum allowable size error of blocks required for high-rise buildings is 1mm-2mm, and the maximum allowable size error of blocks required for ordinary buildings or temporary buildings is 3mm-5mm). The most direct impact of block size error is the deformation and wear of the mold caused by the slurry pouring pressure during the pouring process. Different slurry pouring pressures have different effects on the block mold (for example, when a low slurry pouring pressure is used to perform pouring and block preparation on a standard block mold, 2000 cycles of preparation can be completed, but when a high slurry pouring pressure is used to perform pouring and block preparation on a standard block mold, only 500 cycles of preparation can be completed). In addition, the different real-time wear conditions of the block mold will also affect whether the blocks prepared by it meet the error accuracy requirements, further increasing the difficulty of allocating block preparation tasks to block preparation equipment with block molds with different wear conditions, and failing to improve the overall size accuracy of block preparation.

[0064] In order to solve the above problems, this embodiment obtains the block preparation requirement information and block preparation deadline information in the block preparation task, uses the block preparation requirement type, generates a block preparation requirement feature set for each block preparation task, extracts the first mapping relationship comparison table between the block preparation process parameters and the block preparation speed and the second mapping relationship comparison table between the block preparation process parameters and the mold wear quantification value for preparing a single block stored in the mold casting test database, based on the equipment idle period of each block preparation equipment and the first mapping relationship comparison table, considers the block preparation requirement feature set of each block preparation task and the current loss quantification value of each block mold, optimizes and solves the block preparation task allocation strategy, drives each block preparation equipment to execute the corresponding block preparation task assigned to it, and uses the second mapping relationship comparison table to update the current loss quantification value of each block mold.

[0065] Therefore, the present invention considers the block preparation speed and size preparation accuracy determined by different block preparation tasks for different block preparation demand types, takes the preparation deadline as a constraint condition, and takes the overall size preparation accuracy of the blocks as an optimization goal, to obtain the optimal block preparation task allocation strategy, improves the rationality and scientificity of the allocation of block preparation tasks to block preparation equipment with block molds in different wear conditions, balances the contradiction between preparation speed and preparation molding quality, and improves the overall size accuracy of block preparation.

[0066] In a preferred embodiment, obtaining several steps of building block preparation tasks received by the new building material preparation server within a target period specifically includes:

[0067] S110: Acquire a plurality of new building material preparation orders received by the new building material preparation server from the new building material preparation request terminal; wherein the new building material preparation order includes a plurality of new building material preparation tasks of different types of new building materials;

[0068] S120: performing a first screening action according to the receiving time of each new building material preparation order, screening out the new building material preparation orders received by the new building material preparation server within the target time period;

[0069] S130: performing 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 whose new building material type is building blocks.

[0070] In this embodiment, by obtaining the new building material preparation orders from the new building material preparation request terminal, the new building material preparation tasks whose reception time falls within the target time period and belong to the type of building block materials are extracted to obtain a final number of building block preparation tasks for executing scheduling allocation.

[0071] In a preferred embodiment, extracting the block preparation requirement type and the block preparation requirement quantity in the block preparation requirement information, and generating a block preparation requirement feature set for each block preparation task based on the block preparation requirement type, specifically includes:

[0072] S210: extracting the block preparation requirement type and the block preparation requirement quantity from the block preparation requirement information;

[0073] S220: Determine the block preparation process parameter range and block standard size parameters of each block preparation task based on the block preparation requirement type;

[0074] S230: Generate a block preparation requirement feature set for each block preparation task by using the block preparation process parameter range, the block preparation requirement quantity and the block standard size parameter.

[0075] In practical applications, the block preparation requirement types include several types of block preparation requirement models with different slurry raw material ratios and different dimensional precisions.

[0076] In a preferred embodiment, based on the type of block preparation requirement, determining the block preparation process parameter range and block standard size parameter steps for each block preparation task specifically includes:

[0077] S221: Based on the target block preparation requirement model corresponding to the block preparation requirement type, matching the slurry raw material ratio and block standard size parameters of the target block preparation requirement model in a comparison table containing different block models and corresponding preparation data;

[0078] S222: using the slurry raw material ratio, querying the preparation parameter set corresponding to the target block preparation requirement model in the preparation control database, extracting and screening several parameter items in the preparation parameter set to determine the block preparation process parameter range for each block preparation task.

[0079] In this embodiment, the block preparation requirement information includes the block preparation requirement type and the block preparation requirement quantity. The block preparation requirement type is first used to determine the block preparation process parameter range and block standard size parameters of each block preparation task, and then this is used to generate a block preparation requirement feature set for each block preparation task. The block preparation requirement feature set is used to record the block preparation process parameter range, block preparation requirement quantity and block standard size parameters of each block preparation task, providing data support for the allocation of subsequent block preparation tasks.

[0080] On this basis, the steps of obtaining several new building material preparation order steps received by the new building material preparation server from the new building material preparation request terminal specifically include:

[0081] S111: The new building material preparation server sends a block type selection list including several types of block preparation requirement models with different slurry raw material ratios and different size precisions to the new building material preparation request terminal;

[0082] S112: The terminal for obtaining new building material preparation request generates a new building material preparation order corresponding to each new building material preparation request according to the building block type selection information and the building block preparation demand quantity information fed back by the building block type selection list.

[0083] In this embodiment, the new building material preparation order sent by the new building material preparation request terminal is mainly based on the building block type selection list sent by the new building material preparation server before, so as to facilitate the requesting user to select the required building block type and quantity according to several building block preparation demand models with different slurry raw material ratios and different size accuracy, thereby generating a new building material preparation order.

[0084] In practical applications, the block preparation process parameters include the slurry pouring pressure value.

[0085] In a preferred embodiment, before accessing the mold casting test database and extracting the first mapping relationship comparison table between the block preparation process parameters and the block preparation speed and the second mapping relationship comparison table between the block preparation process parameters and the mold wear quantization value for preparing a single block stored in the mold casting test database, the method further includes:

[0086] S301: performing a mold pouring test action on a target test number of standard block molds according to the block preparation process parameters corresponding to different slurry pouring pressure values;

[0087] S302: Obtain the time consumed by each standard block mold to perform a single mold pouring using different slurry pouring pressure values ​​obtained by executing the mold pouring test action, calculate the average of the target test number of time consumed and establish a mapping relationship with the corresponding slurry pouring pressure value, and construct a first mapping relationship comparison table;

[0088] S303: Obtain the test size errors between the block test size parameters and the block standard size parameters obtained after each mold pouring for each standard block mold using different slurry pouring pressure values ​​obtained by executing the mold pouring test action, count the number of mold pouring times when the test size error reaches a preset error value, calculate the average of the target test number of mold pouring times, use the reciprocal of the average value as the mapping relationship between the mold wear quantification value for preparing a single block and the corresponding slurry pouring pressure value, and construct a second mapping relationship comparison table.

[0089] On this basis, a preparation task list of each block preparation device is obtained, and based on the equipment idle period in the preparation task list and the first mapping relationship comparison table, the block preparation requirement feature set of each block preparation task and the current loss quantification value of each block mold are considered, the block preparation deadline information of each block preparation task is used as a constraint condition, and the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed is used as the optimization goal, and the block preparation equipment to which each block preparation task is assigned is optimized and solved, and the block preparation task allocation strategy steps are generated, which specifically include:

[0090] S410: Obtaining a preparation task list of each building block preparation device, and extracting a device idle period of each building block preparation device recorded in the preparation task list;

[0091] S420: Considering the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, when each block preparation task is assigned to the block preparation equipment, the time consumed for single mold pouring of slurry pouring according to the corresponding slurry pouring pressure value and the block preparation task execution completion time determined by the execution start time of the block preparation task, the block preparation deadline information is satisfied as a constraint condition, and when each block preparation task is assigned to the block preparation equipment for execution, the cumulative sum of the size errors determined by the actual size parameters of the blocks corresponding to the current loss quantization value of the block mold configured by the block preparation equipment at the execution start time and the standard size parameters of the blocks is minimized as the optimization target, and the execution time period of the block preparation equipment to which each block preparation task is assigned and the adopted slurry pouring pressure value are optimized;

[0092] S430: Generate 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 pouring pressure value.

[0093] In this embodiment, by extracting the first mapping relationship comparison table between block preparation process parameters and block preparation speed and the second mapping relationship comparison table between block preparation process parameters and the quantitative value of mold wear for preparing a single block stored in the mold casting test database, based on the equipment idle period of each block preparation equipment and the first mapping relationship comparison table, considering the block preparation requirement feature set of each block preparation task and the current quantitative value of loss of each block mold, the block preparation task allocation strategy is optimized and solved, and each block preparation equipment is driven to perform the corresponding block preparation task assigned to it. By considering the block preparation speed and dimensional preparation accuracy determined by different block preparation demand types in different block preparation tasks, taking the preparation deadline as the constraint condition and the overall dimensional preparation accuracy of the block as the optimization goal, the optimal block preparation task allocation strategy is obtained, while improving the rationality and scientificity of the allocation of block preparation tasks to block preparation equipment with block molds in different wear conditions, balancing the contradiction between the preparation speed and the preparation molding quality, and improving the overall dimensional accuracy of block preparation.

[0094] In a preferred embodiment, according to the block preparation task allocation strategy, several block preparation tasks received by the new building material preparation server are sent to corresponding block preparation devices, so that each block preparation device performs block preparation action steps according to the preparation task list, specifically including:

[0095] S510: extracting the block preparation equipment and the slurry pouring pressure value used for each block preparation task assigned to it recorded in the block preparation task assignment strategy;

[0096] S520: Sending several block preparation tasks received by the new building material preparation server to corresponding block preparation equipment, so that each block preparation equipment performs the block preparation action according to the slurry pouring pressure value corresponding to each block preparation task in the preparation task list.

[0097] On this basis, when it is detected that the block preparation action of each block preparation task is completed, the step of updating the current loss quantization value of each block mold by using the second mapping relationship comparison table specifically includes:

[0098] S610: when it is detected that the block preparation action of each block preparation task is completed, extracting the mapping relationship between the mold wear quantization value for preparing a single block and the corresponding slurry pouring pressure value recorded in the second mapping relationship comparison table;

[0099] S620: Add the quantified value of mold wear for preparing a single block corresponding to the slurry pouring pressure value used when executing the block preparation task to the current quantified value of loss of the block mold configured for the block preparation equipment to update the current quantified value of loss of each block mold.

[0100] In this embodiment, after executing the block preparation action of each block preparation task, the current loss quantification value of each block mold is updated using the second mapping relationship comparison table, so as to ensure the real-time performance of the loss quantification value of the block mold. The high real-time loss quantification value can accurately measure the current size error when using the block mold to prepare blocks. Then, in the allocation strategy optimization process with the preparation period as the constraint condition and the overall size preparation accuracy of the blocks as the optimization target, by obtaining the optimal block preparation task allocation strategy, the rationality and scientificity of the allocation of block preparation tasks to block preparation equipment with block molds in different wear conditions are improved, the contradiction between the preparation speed and the preparation molding quality is balanced, and the overall size accuracy of block preparation is improved.

[0101] Reference Figure 2 , Figure 2 The structure diagram of an embodiment of the high-precision size preparation control system for new building materials of the present invention.

[0102] like Figure 2 As shown, the high-precision size preparation control system for new building materials proposed in the embodiment of the present invention includes:

[0103] The acquisition module 10 is used to acquire a number of block preparation tasks received by the new building material preparation server within a target period; wherein each block preparation task includes block preparation requirement information and block preparation deadline information;

[0104] An extraction module 20 is used to extract the type of block preparation requirement and the number of block preparation requirements in the block preparation requirement information, and generate a block preparation requirement feature set for each block preparation task based on the type of block preparation requirement and the number of block preparation requirements;

[0105] An access module 30 is used to access a mold casting test database, and extract a first mapping relationship comparison table between a block preparation process parameter and a block preparation speed and a second mapping relationship comparison table between a block preparation process parameter and a mold wear quantization value for preparing a single block stored in the mold casting test database;

[0106] A generation module 40 is used to obtain a preparation task list for each block preparation device, based on the equipment idle time period in the preparation task list and the first mapping relationship comparison table, taking into account the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, taking the block preparation deadline information of each block preparation task as a constraint condition, taking the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks 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 assigned, and generating a block preparation task allocation strategy;

[0107] An execution module 50 is used to send a number of block preparation tasks received by the new building material preparation server to corresponding block preparation devices according to the block preparation task allocation strategy, so that each block preparation device performs a block preparation action according to the preparation task list;

[0108] The updating module 60 is used to update the current loss quantization value of each block mold by using the second mapping relationship comparison table when it is detected that the block preparation action of each block preparation task is completed.

[0109] Other embodiments or specific implementations of the high-precision size preparation control system for new building materials of the present invention can refer to the above-mentioned method embodiments and will not be repeated here.

[0110] It is understood that, in the description of this specification, the description with reference to the terms "one embodiment", "another embodiment", "other embodiments", or "first to Nth embodiments" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0111] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0112] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A high-precision size preparation control method for new building materials, characterized in that: include: Acquire a number of block preparation tasks received by the new building material preparation server within a target period; wherein each block preparation task includes block preparation demand information and block preparation deadline information; Extracting the block preparation requirement type and the block preparation requirement quantity from the block preparation requirement information, and generating a block preparation requirement feature set for each block preparation task based on the block preparation requirement type and the block preparation requirement quantity; Accessing a mold casting test database, extracting a first mapping relationship comparison table between block preparation process parameters and block preparation speed and a second mapping relationship comparison table between block preparation process parameters and mold wear quantization values ​​for preparing a single block stored in the mold casting test database; Obtaining a preparation task list for each block preparation device, based on the equipment idle time period in the preparation task list and the first mapping relationship comparison table, considering the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, taking the block preparation deadline information of each block preparation task as a constraint condition, taking the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed as the optimization goal, optimizing and solving the block preparation device to which each block preparation task is assigned, and generating a block preparation task allocation strategy; According to the block preparation task allocation strategy, a number of block preparation tasks received by the new building material preparation server are sent to corresponding block preparation devices, so that each block preparation device performs a block preparation action according to the preparation task list; When it is detected that the block preparation action of each block preparation task is completed, the current loss quantization value of each block mold is updated using the second mapping relationship comparison table.

2. The high-precision size preparation control method for new building materials according to claim 1, characterized in that: Obtain several steps of building block preparation tasks received by the new building material preparation server within the target period, specifically including: Acquire a number of new building material preparation orders received by the new building material preparation server from the new building material preparation request terminal; wherein the new building material preparation order includes a number of new building material preparation tasks of different types of new building materials; Performing a first screening action according to the receiving time of each new building material preparation order, screening out the new building material preparation orders received by the new building material preparation server within the target time period; A second screening action is performed according to the new building material type of each new building material preparation task in the new building material preparation order to screen out a number of building block preparation tasks whose new building material type is building blocks.

3. The high-precision size preparation control method for new building materials according to claim 2, characterized in that: The step of extracting the block preparation requirement type and the block preparation requirement quantity from the block preparation requirement information, and generating a block preparation requirement feature set for each block preparation task based on the block preparation requirement type, specifically includes: Extracting the block preparation requirement type and the block preparation requirement quantity from the block preparation requirement information; Based on the block preparation requirement type, determining the block preparation process parameter range and block standard size parameters for each block preparation task; The block preparation requirement feature set of each block preparation task is generated by using the block preparation process parameter range, the block preparation requirement quantity and the block standard size parameter.

4. The high-precision size preparation control method for new building materials according to claim 3, characterized in that: The block preparation requirement types include several block preparation requirement models with different slurry raw material ratios and different size precisions; based on the block preparation requirement types, the block preparation process parameter range and block standard size parameter steps for each block preparation task are determined, specifically including: Based on the target block preparation requirement model corresponding to the block preparation requirement type, matching the slurry raw material ratio and block standard size parameters of the target block preparation requirement model in a comparison table containing different block models and corresponding preparation data; The slurry raw material ratio is used to query the preparation parameter set corresponding to the target block preparation requirement model in the preparation control database, and several parameter items in the preparation parameter set are extracted and screened to determine the block preparation process parameter range for each block preparation task.

5. The high-precision size preparation control method for new building materials according to claim 3, characterized in that: The steps of obtaining several new building material preparation order steps received by the new building material preparation server from the new building material preparation request terminal specifically include: The new building material preparation server sends a block type selection list including several types of block preparation requirement models with different slurry raw material ratios and different size precisions to the new building material preparation request terminal; The terminal for obtaining the new building material preparation request generates a new building material preparation order corresponding to each new building material preparation request according to the building block type selection information and the building block preparation demand quantity information fed back by the building block type selection list.

6. The high-precision size preparation control method for new building materials according to claim 1, characterized in that: The block preparation process parameters include a slurry pouring pressure value; before the step of accessing a mold pouring test database to extract a first mapping relationship comparison table between the block preparation process parameters and the block preparation speed and a second mapping relationship comparison table between the block preparation process parameters and the mold wear quantization value for preparing a single block stored in the mold pouring test database, the step further includes: Performing mold pouring test actions on a target number of standard block molds according to the block preparation process parameters corresponding to different slurry pouring pressure values; Obtain the time consumed by each standard block mold to perform a single mold pouring using different slurry pouring pressure values ​​obtained by executing the mold pouring test action, calculate the average of the target test number of time consumed and establish a mapping relationship with the corresponding slurry pouring pressure value, and construct a first mapping relationship comparison table; Obtain the test size errors of the block test size parameters and the block standard size parameters obtained after each mold pouring by each standard block mold using different slurry pouring pressure values ​​obtained by executing the mold pouring test action, count the number of mold pouring times when the test size error reaches a preset error value, calculate the average value of the target test number of mold pouring times, use the reciprocal of the average value as the mapping relationship between the mold wear quantification value for preparing a single block and the corresponding slurry pouring pressure value, and construct a second mapping relationship comparison table.

7. The high-precision size preparation control method for new building materials according to claim 6, characterized in that: Obtaining a preparation task list for each block preparation device, based on the equipment idle period in the preparation task list and the first mapping relationship comparison table, considering the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, taking the block preparation deadline information of each block preparation task as a constraint condition, taking the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed as the optimization goal, optimizing and solving the block preparation equipment to which each block preparation task is assigned, and generating a block preparation task allocation strategy step, specifically including: Obtain a preparation task list for each building block preparation device, and extract the device idle time period of each building block preparation device recorded in the preparation task list; Considering the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, when each block preparation task is assigned to the block preparation equipment, the time consumed for single mold pouring of slurry pouring according to the corresponding slurry pouring pressure value and the block preparation task execution completion time determined by the execution start time of the block preparation task, the block preparation deadline information is satisfied as the constraint condition, and when each block preparation task is assigned to the block preparation equipment for execution, the cumulative sum of the size errors determined by the actual size parameters of the blocks corresponding to the current loss quantization value of the block mold configured by the block preparation equipment at the execution start time and the standard size parameters of the blocks is minimized as the optimization goal, and the execution time period of the block preparation equipment to which each block preparation task is assigned and the adopted slurry pouring pressure value are optimized; A block preparation task allocation strategy is generated according to the execution period of the block preparation equipment to which each block preparation task is allocated and the slurry pouring pressure value adopted.

8. The high-precision size preparation control method for new building materials according to claim 7, characterized in that: According to the block preparation task allocation strategy, several block preparation tasks received by the new building material preparation server are sent to corresponding block preparation devices, so that each block preparation device performs block preparation action steps according to the preparation task list, specifically including: Extracting the block preparation equipment and the slurry pouring pressure value used for each block preparation task assigned to it recorded in the block preparation task allocation strategy; Several block preparation tasks received by the new building material preparation server are sent to corresponding block preparation equipment, so that each block preparation equipment performs the block preparation action according to the slurry pouring pressure value corresponding to each block preparation task in the preparation task list.

9. The high-precision size preparation control method for new building materials according to claim 8, characterized in that: When it is detected that the block preparation action of each block preparation task is completed, the step of updating the current loss quantization value of each block mold by using the second mapping relationship comparison table specifically includes: When it is detected that the block preparation action of each block preparation task is completed, extracting the mapping relationship between the mold wear quantization value for preparing a single block and the corresponding slurry pouring pressure value recorded in the second mapping relationship comparison table; The quantified value of mold wear for preparing a single block corresponding to the slurry pouring pressure value used when executing the block preparation task is added to the current quantified value of loss of the block mold configured for the block preparation equipment to update the current quantified value of loss of each block mold.

10. A high-precision size preparation control system for new building materials, characterized in that: The system comprises: An acquisition module is used to acquire a number of block preparation tasks received by the new building material preparation server within a target period; wherein each block preparation task includes block preparation demand information and block preparation deadline information; An extraction module, used to extract the type of block preparation requirement and the number of block preparation requirements in the block preparation requirement information, and generate a block preparation requirement feature set for each block preparation task based on the type of block preparation requirement and the number of block preparation requirements; An access module is used to access a mold casting test database, and extract a first mapping relationship comparison table between block preparation process parameters and block preparation speed and a second mapping relationship comparison table between block preparation process parameters and mold wear quantization values ​​for preparing a single block stored in the mold casting test database; A generation module is used to obtain a preparation task list for each block preparation device, based on the equipment idle time period in the preparation task list and the first mapping relationship comparison table, consider the block preparation requirement feature set of each block preparation task and the current loss quantization value of each block mold, take the block preparation deadline information of each block preparation task as a constraint condition, take the minimum cumulative sum of the size errors between the actual size parameters of the blocks and the standard size parameters of the blocks when each block preparation task is executed as an optimization goal, optimize and solve the block preparation device to which each block preparation task is assigned, and generate a block preparation task allocation strategy; An execution module, for sending a number of block preparation tasks received by the new building material preparation server to corresponding block preparation devices according to the block preparation task allocation strategy, so that each block preparation device performs a block preparation action according to the preparation task list; The updating module is used to update the current loss quantization value of each block mold by using the second mapping relationship comparison table when it is detected that the block preparation action of each block preparation task is completed.

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