Prefabricated house manufacturing method and equipment based on composite insulation board and storage medium

Abstract

The invention discloses a prefabricated house manufacturing method based on a composite insulation board, and relates to the technical field of prefabricated house manufacturing, the method comprises the following steps: inputting a design drawing and a location of a target prefabricated house; acquiring regional information, meteorological data and environment information according to the location; calling thermal insulation performance data and production data of each thermal insulation material in different environments in historical production records; the orientation, the area, the door and window aperture opening ratio and the thermal performance requirement of each vertical face are recognized in combination with a design drawing and environment information; based on the data, determining materials, sizes and structures required by the facades by using an intelligent decision algorithm; outputting a composite insulation board configuration scheme of each facade, and generating execution data of a material list and construction guidance information; storing the configuration scheme and the execution data in a storage medium; through multi-source data driving, accurate configuration of the heat preservation plates on all the vertical faces of the mobile house is achieved, material waste or insufficient heat preservation performance is avoided, and the heat preservation design precision and the material utilization rate are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mobile house manufacturing, and particularly relates to a mobile house manufacturing method based on composite insulation board, equipment and storage medium. BACKGROUND

[0002] The mobile house is a kind of temporary or semi-permanent building form that can be quickly built and flexibly moved, and is widely used in construction sites, post-disaster rescue, temporary office, storage and temporary residence, etc. With the increasing requirements of building energy saving and living comfort, the thermal insulation performance of the mobile house has become an important indicator in the design and manufacturing process. The traditional thermal insulation method of the mobile house mainly relies on single thermal insulation materials such as foam sandwich board, rock wool board or polyurethane board; although such thermal insulation boards can play a role in heat insulation, they usually have fixed thickness and performance at the factory, and lack the ability to customize for different use environments.

[0003] In the prior art, the manufacturing of the mobile house is generally divided into two modes of factory prefabrication or on-site assembly. For the mobile house with small area, the overall manufacturing is usually completed in the factory, and is directly transported to the use site through transportation; but when the mobile house has large area or the transportation condition is limited, the raw materials need to be transported to the site for assembly. Due to the lack of in-depth understanding of the regional, climate, environmental and temperature, humidity, wind force and other multi-dimensional information of the destination, the designers and construction parties mainly rely on experience or conservative design when selecting materials and setting the thickness of the thermal insulation layer, so that the use amount of thermal insulation materials is excessive or insufficient.

[0004] On the other hand, with the development of big data technology, the building material industry has accumulated a large amount of thermal performance, anti-aging performance and fire resistance, moisture resistance and other performance data of different materials under various environments; however, in the existing mobile house production process, there is still a lack of intelligent production system based on big data analysis and environmental adaptation algorithm, which cannot closely combine the climate data, historical use data and energy saving specifications of different regions with the selection and amount of specific thermal insulation boards; this not only leads to material waste and cost increase, but also may cause insufficient thermal insulation performance of the mobile house in some environments, affecting indoor comfort and even having the risk of excessive energy consumption.

[0005] At present, there is also a lack of an overall solution that coordinates the flexible selection of composite thermal insulation boards, intelligent production control and production equipment, to realize fine customization of thermal insulation performance for different use scenarios. Especially, there is a lack of an intelligent manufacturing method and equipment based on regional environmental information, historical engineering data and the characteristics of composite thermal insulation boards, which can store the manufacturing process information in the storage medium for subsequent optimization and tracing, so as to balance the thermal insulation performance and the amount of materials.

[0006] The prior art has the following technical problems: first, there is a lack of technical means for combining regional environmental information and historical data to design and produce fine activity house insulation materials; second, the selection and dosage of insulation boards mainly rely on experience, and there is a lack of intelligent analysis and decision support, resulting in material waste or insufficient insulation; third, there is no systematic solution that combines big data analysis, intelligent production equipment, and composite insulation board manufacturing processes.

[0007] In summary, the prior art has at least the following technical problems:

[0008] The existing activity house manufacturing lacks precise dosage analysis, resulting in the technical problems of material waste or insufficient insulation performance during the manufacturing process. SUMMARY

[0009] The purpose of the present application is to provide an activity house manufacturing method, device and storage medium based on composite insulation boards, to solve the technical problems of the existing activity house manufacturing lacking precise dosage analysis, resulting in material waste or insufficient insulation performance during the manufacturing process.

[0010] The preferred technical solutions in the many technical solutions provided by the present application can produce many technical effects, which are described in detail below.

[0011] To solve the above technical problems, the present application provides the following technical solutions:

[0012] The present application provides an activity house manufacturing method based on composite insulation boards, comprising the following sequentially executed steps: S1, inputting the design drawings of the target activity house and the location;

[0013] S2, obtaining the regional information, meteorological data and environmental information of the target activity house according to the location of the target activity house;

[0014] S3, calling the insulation performance data and production data of each insulation material under different environments in the historical production records;

[0015] S4, identifying the orientation, area, door and window opening rate and thermal performance requirements of each facade of the target activity house according to the design drawings of the target activity house, the regional information, meteorological data and environmental information;

[0016] S5, determining the model, thickness and hierarchical structure combination of the composite insulation board required for each facade based on the historical production records, the design drawings of the target activity house, the regional information, meteorological data and environmental information, using an intelligent decision algorithm;

[0017] S6, outputting the composite insulation board configuration scheme of each facade of the activity house, including the material model, thickness, tolerance range and hierarchical structure, and generating execution data from the material list and construction guidance information;

[0018] S7, store the composite insulation board configuration scheme and execution data in a storage medium.

[0019] In one of the embodiments, the region information includes longitude and latitude coordinates, climate zone classification, altitude, and building orientation; historical and real-time meteorological data of the region where the target mobile house is located are called from a meteorological database, and the meteorological data at least includes annual average temperature, extreme minimum temperature, average wind speed, and relative humidity; and the environmental information includes building energy-saving standards of the region where the target mobile house is located.

[0020] In one of the embodiments, the intelligent decision algorithm is at least one of a decision tree algorithm, a support vector machine algorithm, or a neural network algorithm.

[0021] In one of the embodiments, the composite insulation board configuration scheme further includes thermal simulation analysis results for each facade of the mobile house.

[0022] In one of the embodiments, the material list includes unit price information and total material cost estimation of the selected insulation material.

[0023] In one of the embodiments, the construction guidance information is an assembly construction step.

[0024] In one of the embodiments, the storage medium is a database, a cloud storage, or a blockchain storage, used to save the composite insulation board configuration scheme and execution data.

[0025] A mobile house manufacturing equipment based on composite insulation boards is also provided, which includes a data acquisition module for obtaining region information, meteorological data, and environmental information of a target mobile house according to input design drawings and location of the target mobile house; a database module for storing thermal performance data and production data of each insulation material under different environments as historical production records; an analysis and processing module for identifying orientation, area, door and window opening rate, and thermal performance requirements of each facade of the target mobile house according to the design drawings, region information, meteorological data, and environmental information, and determining the model, thickness, and hierarchical structure combination of the composite insulation board required for each facade of the target mobile house based on the historical production records and environmental information through an intelligent decision algorithm; an output module for outputting a composite insulation board configuration scheme of each facade of the target mobile house, including material model, thickness, tolerance range, and hierarchical structure, and generating execution data of a material list and construction guidance information; and a storage module for storing the composite insulation board configuration scheme and execution data in a storage medium; the data acquisition module, the database module, the analysis and processing module, the output module, and the storage module are respectively electrically connected for data interaction, and in operation, respectively perform the steps of the mobile house manufacturing method of claim 1.

[0026] A storage medium is also provided for computer-readable storage, the storage medium storing one or more computer programs that can be executed by one or more processors to perform the steps of the mobile home manufacturing method of claim 1.

[0027] The beneficial effects of this invention are as follows:

[0028] (1) By collecting regional information, meteorological data and environmental information of the target mobile house location and combining it with the design drawings of the target mobile house, the present invention achieves a comprehensive understanding of the construction environment and avoids the problem of rough insulation design caused by insufficient environmental information in traditional manufacturing.

[0029] (2) This invention utilizes the thermal insulation performance data and production data of various thermal insulation materials in different environments from historical production records, and through intelligent decision-making algorithms, performs directional analysis and matching on each facade of the prefabricated house, which can accurately determine the model, thickness and layer structure of the composite thermal insulation board, and significantly improve the accuracy of thermal insulation design.

[0030] (3) The present invention can recommend differentiated composite insulation board configuration schemes for different facades with different orientations and different thermal requirements, which not only meets the energy-saving requirements, but also effectively avoids the overuse or underuse of insulation materials, thereby reducing material waste and manufacturing costs.

[0031] (4) The composite insulation board configuration scheme and execution data generated by the present invention can be stored in the storage medium, realizing the retention, traceability and reuse of production data, which facilitates the rapid design and optimization of similar projects in the future, and improves manufacturing efficiency and product consistency.

[0032] (5) Overall, the present invention improves the precise control of the thermal insulation performance of mobile homes, achieves an optimized balance between thermal insulation performance and material usage, meets the development needs of green and energy-saving buildings, and has significant economic and social benefits. Attached Figure Description

[0033] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a schematic diagram of the steps in the method for manufacturing a prefabricated house according to the present invention. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0036] A specific implementation provides a method for manufacturing prefabricated houses based on composite insulation boards. This method includes inputting the design drawings and location of the target prefabricated house; acquiring regional information, meteorological data, and environmental information based on the location; retrieving insulation performance data and production data of various insulation materials under different environments from historical production records; identifying the orientation, area, door and window opening ratio, and thermal performance requirements of each facade based on the design drawings and environmental information; determining the required materials, dimensions, and structure of each facade using an intelligent decision-making algorithm based on the above data; outputting the composite insulation board configuration scheme for each facade and generating execution data including a material list and construction guidance information; and storing the configuration scheme and execution data in a storage medium. This invention, driven by multi-source data, achieves precise configuration of insulation boards for each facade of the prefabricated house, avoiding material waste or insufficient insulation performance, and improving the accuracy of insulation design and material utilization. It effectively solves the technical problem of existing prefabricated house manufacturing lacking precise usage analysis, leading to material waste or insufficient insulation performance during the manufacturing process.

[0037] A first embodiment of a method, equipment, and storage medium for manufacturing prefabricated houses based on composite insulation boards, for example... Figure 1 As shown, the following steps are executed sequentially: S1, Input the design drawings and location of the target mobile house;

[0038] S2. Based on the location of the target mobile house, obtain the regional information, meteorological data, and environmental information of the target mobile house;

[0039] S3. Retrieve the insulation performance data and production data of each insulation material under different environments from the historical production records;

[0040] S4. Based on the design drawings, regional information, meteorological data and environmental information of the target mobile house, identify the orientation, area, door and window opening ratio and thermal performance requirements of each facade of the target mobile house.

[0041] S5. Based on historical production records and environmental information, use intelligent decision-making algorithms to determine the type, thickness, and layer structure combination of composite insulation boards required for each facade of the target mobile house;

[0042] S6. Output the composite insulation board configuration scheme for each facade of the prefabricated house, including material type, thickness, tolerance range and layer structure, and generate execution data with material list and construction guidance information;

[0043] S7. Store the composite insulation board configuration scheme and execution data in the storage medium.

[0044] Compared with the prior art, the present invention has the following advantages: (1) The present invention collects regional information, meteorological data and environmental information of the target mobile house location, and combines the design drawings of the target mobile house to achieve a comprehensive understanding of the construction environment, thus avoiding the problem of rough insulation design caused by insufficient environmental information in traditional manufacturing.

[0045] (2) This invention utilizes the thermal insulation performance data and production data of various thermal insulation materials in different environments from historical production records, and through intelligent decision-making algorithms, performs directional analysis and matching on each facade of the prefabricated house, which can accurately determine the model, thickness and layer structure of the composite thermal insulation board, and significantly improve the accuracy of thermal insulation design.

[0046] (3) The present invention can recommend differentiated composite insulation board configuration schemes for different facades with different orientations and different thermal requirements, which not only meets the energy-saving requirements, but also effectively avoids the overuse or underuse of insulation materials, thereby reducing material waste and manufacturing costs.

[0047] (4) The composite insulation board configuration scheme and execution data generated by the present invention can be stored in the storage medium, realizing the retention, traceability and reuse of production data, which facilitates the rapid design and optimization of similar projects in the future, and improves manufacturing efficiency and product consistency.

[0048] (5) Overall, the present invention improves the precise control of the thermal insulation performance of mobile homes, achieves an optimized balance between thermal insulation performance and material usage, meets the development needs of green and energy-saving buildings, and has significant economic and social benefits.

[0049] As one alternative implementation method:

[0050] Regarding the specific categories of the aforementioned regional information, meteorological data, and environmental information, the regional information includes latitude and longitude coordinates, climate zone classification, altitude, and building orientation; historical and real-time meteorological data of the target mobile home's location are retrieved from the meteorological database, and the meteorological data includes at least the annual average temperature, extreme low temperature, average wind speed, and relative humidity; the environmental information includes the building energy efficiency standards of the target mobile home's location.

[0051] Regarding the specific type of the aforementioned intelligent decision-making algorithm, the intelligent decision-making algorithm is at least one of the following: decision tree algorithm, support vector machine algorithm, or neural network algorithm.

[0052] Regarding the specific details of the composite insulation board configuration scheme output above, the composite insulation board configuration scheme also includes the thermal simulation analysis results for each facade of the mobile house.

[0053] Regarding the specific contents of the above-mentioned output bill of materials, the bill of materials includes the unit price information of the selected insulation materials and the overall material cost estimate.

[0054] Regarding the specific content of the above-mentioned intelligent construction information output, the construction guidance information refers to the assembly construction steps.

[0055] Regarding the storage method of the above-mentioned composite insulation board configuration scheme and execution data, the storage medium is a database, cloud storage or blockchain storage, used to save the composite insulation board configuration scheme and execution data.

[0056] When using the application, S1 is to input the design drawings and location of the target mobile house, such as Urumqi.

[0057] S2. The system automatically obtains regional information, meteorological data and environmental information based on the input location, including: regional information: latitude and longitude coordinates, altitude, climate zone information such as high altitude or humidity, and building orientation;

[0058] Meteorological data: annual average temperature, extreme low temperature, average wind speed, relative humidity, etc.

[0059] Environmental information: Local building energy efficiency standards.

[0060] S3. Retrieve historical production records, including information such as the thermal performance, fire resistance rating, moisture absorption rate, and unit price of each insulation material under different environments.

[0061] S4. Based on the prefabricated house design drawings and the aforementioned environmental information, the system automatically identifies the orientation, area, door and window opening ratio, and thermal performance requirements of each facade. For example: South facade area: 40m² 2 Window opening ratio: 30%; North facade area: 40m² 2 The window opening rate is 20%.

[0062] S5. The system uses intelligent decision-making algorithms (such as decision trees or neural networks) to determine the type, thickness, and layer structure combination of composite insulation boards required for each facade based on environmental conditions and historical data.

[0063] For example: for the south facade, we recommend water-repellent rock wool board with a thickness of 50mm, with an aluminum foil reflective layer; for the north facade, we recommend high-density polyurethane sandwich panel with a thickness of 80mm.

[0064] S6. The system outputs the composite insulation board configuration scheme for each facade, including: material type, thickness and tolerance range; thermal simulation analysis results; material list and unit price information, overall material cost estimate; construction guidance information, such as the installation sequence and overlapping method of each material.

[0065] S7. The system stores the above configuration scheme and execution data in a database or cloud server in JSON (JavaScript Object Notation) file format for quick reuse in subsequent projects.

[0066] In this embodiment, by combining environmental information, historical data and intelligent algorithms, differentiated designs for different facades are achieved, avoiding the overuse or underuse of insulation materials, thereby improving material utilization and insulation performance, and achieving significant energy-saving and economic benefits.

[0067] Based on the embodiments of the above prefabricated house manufacturing method, a prefabricated house manufacturing equipment is provided, including a data acquisition module for acquiring regional information, meteorological data, and environmental information of the target prefabricated house according to the input design drawings and location of the target prefabricated house; a database module for storing thermal insulation performance data and production data of various insulation materials under different environments as historical production records; and an analysis and processing module for identifying the orientation, area, door and window opening ratio, and thermal performance requirements of each facade of the target prefabricated house according to the design drawings, regional information, meteorological data, and environmental information, and determining the requirements based on the historical production records and environmental information through an intelligent decision-making algorithm. The system includes: a module for specifying the type, thickness, and layered structure of composite insulation boards required for each facade of the target prefabricated house; an output module for outputting the composite insulation board configuration scheme for each facade of the target prefabricated house, including material type, thickness, tolerance range, and layered structure, and generating execution data consisting of a material list and construction guidance information; and a storage module for storing the composite insulation board configuration scheme and execution data in a storage medium. The data acquisition module, database module, analysis and processing module, output module, and storage module are electrically connected for data interaction, and during operation, they respectively execute the steps of the prefabricated house manufacturing method according to claim 1.

[0068] When applied, the data acquisition module specifically includes an input interface, a network interface, and a data parsing unit. The input interface is used to receive design drawing files input by the user, such as CAD files, BIM model files, and project location information. The network interface is used to connect to external meteorological databases, regional environmental databases, and building energy conservation standard databases. The data parsing unit is used to parse the input drawing files and extract the structural parameters of the mobile house, including the location, dimensions, and door and window distribution information of each facade.

[0069] In practice, the data acquisition module captures environmental data in real time from external data sources and associates it with the input architectural drawings. For example, when Urumqi is selected as the project location, the data acquisition module automatically obtains information such as building orientation, average annual temperature, extreme low temperatures, wind speed, relative humidity, and local building energy efficiency standards to ensure that subsequent analysis is targeted.

[0070] The database module stores multidimensional performance data of different composite insulation materials during application, including thermal conductivity, fire resistance, moisture resistance, unit price information, and historical project application effects. By establishing an index table, the database module can quickly match the correlation between environmental information and material performance.

[0071] During execution, the analysis and processing module invokes intelligent decision-making algorithms, such as decision tree algorithms and neural network algorithms, and combines the input design drawing parameters, environmental information data, and historical production records to complete a targeted analysis of the insulation requirements for each facade. For example, in areas with high annual sunshine hours, the analysis and processing module can increase the thickness of the reflective layer on the south facade to reduce the cooling load.

[0072] When applied, the output module generates specific composite insulation board configuration schemes, including: recommended material combinations, recommended thickness and tolerance range, thermal simulation results, unit price and total cost estimates, and construction guidance information for each facade, including material installation sequence, connection method, and process requirements to prevent thermal bridging. The output module can export the above results as PDF, Excel, or JSON format for the convenience of construction units.

[0073] When in use, the storage module stores the composite insulation board configuration scheme and execution data in a local database, enterprise private cloud, or blockchain-based distributed ledger to improve data security and traceability.

[0074] Through the above applications, the equipment of the present invention can realize automated and intelligent design of insulation solutions for prefabricated houses, solving the problem that the insulation design in the existing prefabricated house construction and manufacturing technology relies on manual design experience and lacks precise analysis, and has the effects of saving materials, reducing costs and improving building efficiency.

[0075] Based on the above embodiments of the prefabricated house manufacturing method, a storage medium is provided for computer-readable storage, wherein the storage medium stores one or more computer programs, which can be executed by one or more processors to perform the steps of the prefabricated house manufacturing method of claim 1.

[0076] When applied, the storage medium can be a computer-readable storage medium such as a hard disk, solid-state drive, USB flash drive, SD card, optical disc, server hard disk array, cloud storage space, or blockchain storage medium, used to store one or more computer programs for executing the method of the present invention.

[0077] In actual execution, the computer program includes several modular instruction sets, including at least: data acquisition module instructions: used to collect regional information, meteorological data and environmental information of the location of the mobile house project;

[0078] Drawing parsing module commands: Used to parse input CAD or BIM (Building Information Modeling) drawing files for prefabricated buildings;

[0079] Intelligent decision-making algorithm module instructions: Used to calculate and determine the required configuration of composite insulation boards for each facade based on environmental data and historical production records;

[0080] Output generation module commands: used to generate material lists, thermal simulation results, cost estimates, and construction guidance information;

[0081] Storage and Export Module Directives: Used to save the generated solutions and data in JSON, XML or other formats, and provide an external interface for exporting data.

[0082] For example, when in use, the computer program can receive the design files and project location uploaded by the user, call the external meteorological API (Application Programming Interface) to obtain environmental information, and then combine it with historical data in the database to determine the required thickness and material combination of composite insulation boards for each facade through a decision tree algorithm. The calculation results can be exported in the form of a report or directly written to the cloud database.

[0083] Through the above applications, the storage medium of the present invention enables a computer to quickly execute complex insulation scheme matching according to the steps of the prefabricated house manufacturing method, avoiding errors caused by manual calculation, improving the efficiency and accuracy of prefabricated house insulation scheme design, and effectively solving the problems of lack of data-driven and rough design in existing prefabricated house manufacturing.

[0084] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described.

Claims

1. A method for manufacturing a prefabricated house based on composite insulation board, characterized in that, The following steps are performed sequentially: S1. Enter the design drawings and location of the target mobile house; S2. Based on the location of the target mobile house, obtain the regional information, meteorological data, and environmental information of the target mobile house; S3. Retrieve the insulation performance data and production data of each insulation material under different environments from the historical production records; S4. Based on the design drawings, regional information, meteorological data and environmental information of the target mobile house, identify the orientation, area, door and window opening ratio and thermal performance requirements of each facade of the target mobile house. S5. Based on historical production records and environmental information, use intelligent decision-making algorithms to determine the type, thickness, and layer structure combination of composite insulation boards required for each facade of the target mobile house; S6. Output the composite insulation board configuration scheme for each facade of the prefabricated house, including material type, thickness, tolerance range and layer structure, and generate execution data with material list and construction guidance information; S7. Store the composite insulation board configuration scheme and execution data in the storage medium.

2. The method for manufacturing a prefabricated house according to claim 1, characterized in that, The regional information includes latitude and longitude coordinates, climate zone classification, altitude, and building orientation; Historical and real-time meteorological data of the area where the target mobile house is located are retrieved from the meteorological database. The meteorological data includes at least the annual average temperature, extreme low temperature, average wind speed, and relative humidity. The environmental information includes the building energy efficiency standards for the area where the target mobile home is located.

3. The method for manufacturing a prefabricated house according to claim 1, characterized in that, The intelligent decision-making algorithm is at least one of the following: decision tree algorithm, support vector machine algorithm, or neural network algorithm.

4. The method for manufacturing a prefabricated house according to claim 1, characterized in that, The composite insulation board configuration scheme also includes thermal simulation analysis results for each facade of the mobile house.

5. The method for manufacturing a basic prefabricated house according to claim 1, characterized in that, The bill of materials includes the unit price information of the selected insulation materials and an overall material cost estimate.

6. The method for manufacturing a prefabricated house according to claim 1, characterized in that, The construction guidance information refers to the assembly construction steps.

7. The method for manufacturing a prefabricated house according to claim 1, characterized in that, The storage medium is a database, cloud storage, or blockchain storage, used to save the configuration scheme and execution data of the composite insulation board.

8. A prefabricated house manufacturing equipment based on composite insulation board, characterized in that, It includes a data acquisition module, which is used to obtain regional information, meteorological data and environmental information of the target mobile house based on the input design drawings and location of the target mobile house; And a database module, used to store the thermal insulation performance data and production data of each thermal insulation material under different environments as historical production records; And an analysis and processing module, used to identify the orientation, area, door and window opening ratio and thermal performance requirements of each facade of the target mobile house according to the design drawings, regional information, meteorological data and environmental information, and to determine the model, thickness and layer structure combination of the composite insulation board required for each facade of the target mobile house based on the historical production records and environmental information through intelligent decision-making algorithms. And an output module, used to output the composite insulation board configuration scheme for each facade of the target mobile house, including material type, thickness, tolerance range and layer structure, and generate execution data with material list and construction guidance information; And a storage module, used to store the composite insulation board configuration scheme and execution data in a storage medium; The data acquisition module, the database module, the analysis and processing module, the output module, and the storage module are electrically connected to interact with each other, and each executes the steps of the prefabricated house manufacturing method according to claim 1 during operation.

9. A storage medium for computer-readable storage, characterized in that, The storage medium stores one or more computer programs, which can be executed by one or more processors to perform the steps of the mobile home manufacturing method of claim 1.

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