Energy consumption analysis platform for fabricated building construction

Abstract

The invention discloses an energy consumption analysis platform for prefabricated building construction, and relates to the technical field of building energy consumption analysis, and the platform comprises the steps: obtaining prefabricated part supply information of a target prefabricated building; determining hoisting sequence constraint information of the multiple prefabricated parts; an assembly period demand is obtained, fitting of assembly schemes is carried out, and N sets of assembly schemes and N sets of initial energy consumption of assembly equipment are generated; assembly environment requirements of various prefabricated parts are established; acquiring an environment prediction time sequence of the prediction time zone; executing environment control energy consumption prediction, and generating N groups of assembly demand energy consumption; and the assembly scheme with the minimum energy consumption is selected as a target assembly scheme, and construction of a target assembly type building is conducted. The technical problems of unreasonable construction resource allocation, high cost and low construction efficiency caused by difficulty in real-time and accurate monitoring and prediction of fabricated building construction energy consumption in existing building construction energy consumption analysis are solved, and the technical effects of reducing the construction energy consumption and improving the overall construction efficiency are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to building energy consumption analysis, and specifically to an energy consumption analysis platform for prefabricated building construction. Background Art

[0002] With the acceleration of urbanization and the continuous development of the construction industry, prefabricated buildings, as a new type of efficient and environmentally friendly building model, are gradually becoming a new trend in the development of the construction industry. Prefabricated buildings reduce construction noise and dust pollution by prefabricating components in factories and then transporting them to the construction site for rapid assembly. They not only effectively reduce the waste of resources on the construction site, but also greatly save the use of materials, reduce the generation of construction waste, and improve construction efficiency. However, with the increasing number of prefabricated building projects, the problem of energy consumption in its construction process has gradually become prominent. In the traditional prefabricated building construction process, there is often a lack of systematic analysis and optimization of energy consumption, which makes it difficult to accurately estimate and effectively control the production, transportation, hoisting and on-site environmental control of prefabricated components, resulting in an increase in overall construction costs, low resource utilization efficiency and overall production efficiency. How to effectively manage and analyze energy consumption in the construction process to optimize resource allocation, reduce costs and improve construction efficiency has become a problem that needs to be solved urgently.

[0003] Therefore, in the current technologies related to energy consumption analysis of prefabricated building construction, there are technical problems such as difficulty in real-time and accurate monitoring and prediction of energy consumption of prefabricated building construction, which leads to unreasonable allocation of construction resources, high costs and low construction efficiency. Summary of the invention

[0004] This application solves the technical problems of existing construction energy consumption analysis, which is that it is difficult to conduct real-time and accurate monitoring and prediction of the energy consumption of prefabricated building construction, thereby leading to unreasonable allocation of construction resources, high costs and low construction efficiency, by providing an energy consumption analysis platform for prefabricated building construction. The application achieves the technical effect of reducing construction energy consumption and improving overall construction efficiency.

[0005] The present application provides an energy consumption analysis platform for prefabricated building construction, the platform comprising: a prefabricated component supply information acquisition module, used to acquire the prefabricated component supply information of a target prefabricated building, wherein the prefabricated component supply information includes the supply time of a plurality of prefabricated components; a hoisting sequence constraint information determination module, used to determine the hoisting sequence constraint information of the plurality of prefabricated components; an assembly scheme fitting module, used to acquire the assembly period requirement, and fit the assembly scheme in combination with the hoisting sequence constraint information and the supply time of the plurality of prefabricated components, to generate N groups of assembly schemes and N groups of initial energy consumption of assembly equipment; an assembly environment requirement building ... obtain the assembly period requirement, and fit the assembly scheme in combination with the hoisting sequence constraint information and the supply time of the plurality of prefabricated components, to generate N groups of assembly schemes and N groups of initial energy consumption of assembly equipment; an assembly environment requirement building module, used to determine the hoisting sequence constraint information of the plurality of prefabricated components; an assembly scheme fitting module, used to determine the hoisting sequence constraint information of the plurality of prefabricated components; an assembly scheme fitting module, used to determine the hoisting sequence constraint information of the plurality of prefabricated components; an assembly scheme fitting module, used to determine the hoisting sequence constraint information of the plurality of prefabricated components; an assembly scheme fitting module, used to determine the hoisting sequence constraint information of the plurality of prefabricated components; an assembly scheme fitting module, used to determine the hoisting sequence constraint information of the A module for establishing assembly environment requirements for the various prefabricated components; an environment prediction timing acquisition module for establishing a prediction time zone based on the assembly period requirements and acquiring the environment prediction timing for the prediction time zone; an environment control energy consumption prediction module for performing environment control energy consumption prediction for the N groups of assembly schemes in combination with the assembly environment requirements and the environment prediction timing, and fusing the prediction with the initial energy consumption of the N groups of assembly equipment to generate N groups of assembly demand energy consumption; and an assembled building construction module for selecting the assembly scheme with the lowest energy consumption as the target assembly scheme based on the N groups of assembly demand energy consumption, and performing construction of the target assembled building.

[0006] In a possible implementation, the lifting sequence constraint information determination module also performs the following processing: configuring the sequence constraint logic, wherein the sequence constraint logic includes underlying priority rules, center of gravity balance rules, structural continuity rules and counterweight rules; traversing all the rules in the sequence constraint logic to perform component assembly sequence analysis, and generate first lifting sequence constraint component information and second lifting sequence constraint component information; wherein the first lifting sequence constraint component information is the component lifting sequence constraint information that must be executed during the construction process, and the second lifting sequence constraint component information is component information that is not restricted by sequence.

[0007] In a possible implementation, the hoisting sequence constraint information determination module also performs the following processing: reading a preset three-dimensional assembly model of the target prefabricated building, wherein the preset three-dimensional assembly model displays the self structure of the multiple prefabricated components and the connection structure with other components; based on the preset three-dimensional assembly model, traversing all the rules in the sequence constraint logic, and generating the first hoisting sequence constraint component information and the second hoisting sequence constraint component information that satisfy the sequence constraint logic.

[0008] In a possible implementation, the assembly scheme fitting module further performs the following processing: establishing multiple assembly requirement times for the multiple prefabricated components; fitting assembly schemes for different time periods according to the supply time of the multiple prefabricated components, the multiple assembly requirement times and the lifting sequence constraint information to generate the N groups of assembly schemes, wherein different prefabricated components can be assembled in parallel at the same time node in the N groups of assembly schemes; performing lifting equipment operation analysis on assembly nodes for the N groups of assembly schemes to generate the initial energy consumption of the N groups of assembly equipment.

[0009] In a possible implementation, the assembly scheme fitting module further performs the following processing: obtaining N assembly node sets of the N groups of assembly schemes; extracting assembly features for any assembly node in the N assembly node sets to generate N node assembly feature sets, wherein the extracted assembly features include extracting node assembly component type features, assembly position features, and assembly connection features; establishing N lifting equipment operation feature sets based on the N node assembly feature sets; performing equipment operation simulation using the N lifting equipment operation feature sets to generate the initial energy consumption of the N groups of assembly equipment.

[0010] In a possible implementation, the environmental control energy consumption prediction module also performs the following processing: determining the control mapping relationship between the environmental factors in the assembly environment requirements and the environmental control devices; wherein, in the control mapping relationship, one environmental control device corresponds to one or more controllable environmental factors; based on the control mapping relationship, the environmental prediction timing and the N groups of assembly schemes, the control requirement energy consumption of the environmental control device is fitted to generate N groups of environmental control energy consumption; the N groups of environmental control energy consumption are integrated with the initial energy consumption of the N groups of assembly equipment to generate the N groups of assembly requirement energy consumption.

[0011] In a possible implementation, the environmental control energy consumption prediction module also performs the following processing: extracting the assembly time of the various prefabricated components in the N groups of assembly schemes, and combining the control mapping relationship and the environmental prediction timing to perform control fitting on the environmental control equipment to obtain the environmental control equipment operating parameters that meet the assembly environment requirements; performing energy consumption analysis based on the environmental control equipment operating parameters to generate the N groups of environmental control energy consumption.

[0012] In a possible implementation, the prefabricated building construction module also performs the following processing: obtaining the target assembly requirement energy consumption corresponding to the target assembly scheme; performing assembly node analysis on the target assembly requirement energy consumption to generate node assembly energy consumption information; using the node assembly energy consumption information as a construction monitoring standard, and obtaining real-time node assembly energy consumption through sensor monitoring; when the deviation between the real-time node assembly energy consumption and the node assembly energy consumption information is greater than a preset deviation, generating energy consumption abnormality reminder information.

[0013] Through the energy consumption analysis platform for prefabricated building construction proposed in this application, it is planned to obtain the supply information of prefabricated components of the target prefabricated building; determine the hoisting sequence constraint information of various prefabricated components; obtain the assembly period requirements, fit the assembly plan, generate N groups of assembly plans and N groups of initial energy consumption of assembly equipment; establish the assembly environment requirements of various prefabricated components; obtain the environmental prediction time sequence of the prediction time zone; perform environmental control energy consumption prediction, generate N groups of assembly demand energy consumption; select the assembly plan with the lowest energy consumption as the target assembly plan, and carry out the construction of the target prefabricated building. It solves the technical problem that it is difficult to conduct real-time and accurate monitoring and prediction of the energy consumption of prefabricated building construction in the existing energy consumption analysis of building construction, which leads to unreasonable allocation of construction resources, high cost and low construction efficiency, and achieves the technical effect of reducing construction energy consumption and improving overall construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure are briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the platform according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of the structure of an energy consumption analysis platform for prefabricated building construction provided in an embodiment of the present application; Figure 2 A schematic diagram of the execution flow of an environmental control energy consumption prediction module in an energy consumption analysis platform for prefabricated building construction provided in an embodiment of the present application.

[0016] Explanation of the accompanying drawings: prefabricated component supply information acquisition module 10, lifting sequence constraint information determination module 20, assembly plan fitting module 30, assembly environment requirement establishment module 40, environment prediction timing acquisition module 50, environment control energy consumption prediction module 60, prefabricated building construction module 70. DETAILED DESCRIPTION

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0018] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0019] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, platform, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or components that are not clearly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0020] The present application embodiment provides an energy consumption analysis platform for prefabricated building construction, such as Figure 1 As shown, the energy consumption analysis platform for prefabricated building construction includes: a prefabricated component supply information acquisition module 10, a hoisting sequence constraint information determination module 20, an assembly scheme fitting module 30, an assembly environment demand establishment module 40, an environment prediction timing acquisition module 50, an environment control energy consumption prediction module 60, and a prefabricated building construction module 70.

[0021] The prefabricated component supply information acquisition module 10 is used to acquire the prefabricated component supply information of the target prefabricated building, wherein the prefabricated component supply information includes the supply time of various prefabricated components.

[0022] Preferably, obtaining the prefabricated component supply information of the target prefabricated building refers to collecting and recording the detailed supply data of various prefabricated components for the construction of the target prefabricated building, including different types of prefabricated components and the corresponding supply time of each prefabricated component, such as wall panels, floor slabs, beams and columns, etc., wherein the supply time of each prefabricated component refers to the specific production, transportation and delivery time of each prefabricated component, the production time is the production time of each prefabricated component in the factory, that is, the specific time from the start of manufacturing to completion; the transportation time is the time to transport the prefabricated component from the production site to the construction site, including loading, transportation and unloading time; the delivery time is the specific time when the prefabricated component arrives at the construction site; in addition, the prefabricated component supply information may also include the supply quantity of each prefabricated component, the corresponding supplier information and potential supply time delay factors, such as weather, traffic conditions, supplier production capacity, etc. By obtaining the supply information of prefabricated components, the construction schedule can be reasonably arranged and resource scheduling can be optimized, thereby effectively reducing the energy consumption of the overall prefabricated building construction and improving production efficiency.

[0023] The hoisting sequence constraint information determination module 20 is used to determine the hoisting sequence constraint information of the plurality of prefabricated components.

[0024] Preferably, the hoisting sequence constraint information of various prefabricated components is determined, which specifically refers to the planning and restriction of the hoisting sequence of various prefabricated components during the construction process. The hoisting sequence constraint information usually includes hoisting priority (determine which components need to be hoisted first according to the structure and function of the components, such as load-bearing components usually need to be installed first), interdependence (some components may depend on the prior installation of other components, such as upper components need to be hoisted after the lower components are installed), space restrictions (the spatial conditions at the construction site may affect the hoisting sequence, for example, larger or heavier components need to be hoisted when the space is more spacious to avoid collision or interference), construction equipment capacity (considering the capacity and safety of the hoisting equipment, determine which components can be hoisted at the same time and which need to be carried out separately) and construction period requirements (adjust the hoisting sequence according to the overall construction progress requirements to ensure that the work of each stage can be completed on time). By determining the hoisting sequence constraint information, the construction plan can be optimized, interference during the construction process can be reduced, and construction efficiency and safety can be improved.

[0025] In a possible implementation, the specific configuration of the lifting sequence constraint information determination module 20 also includes: configuring sequence constraint logic, wherein the sequence constraint logic includes underlying priority rules, center of gravity balance rules, structural continuity rules and counterweight rules; traversing all rules in the sequence constraint logic to perform component assembly sequence analysis, and generating first lifting sequence constraint component information and second lifting sequence constraint component information; wherein the first lifting sequence constraint component information is component lifting sequence constraint information that must be executed during the construction process, and the second lifting sequence constraint component information is component information that is not restricted by sequence.

[0026] Preferably, the lifting sequence constraint information is determined based on the configuration sequence constraint logic. The configuration sequence constraint logic refers to the rules for ensuring that the lifting sequence of prefabricated components meets the requirements of construction safety and structural stability, including the bottom layer priority rule, the center of gravity balance rule, the structural continuity rule and the counterweight rule. Among them, the bottom layer priority rule refers to starting the lifting from the bottom layer and gradually proceeding upward, giving priority to lifting load-bearing components and bottom layer components (such as foundation beams and floor slabs) to ensure the safe support of the upper layer components; the center of gravity balance rule means that during the lifting process, components with a lower center of gravity should be installed first to ensure a reasonable distribution of the center of gravity to avoid instability, tilting or collapse caused by center of gravity offset; the structural continuity rule refers to ensuring smooth connections and mutual support between adjacent components to avoid structural weaknesses caused by disconnection or discontinuity; the counterweight rule refers to reasonably arranging the lifting sequence according to the weight and shape of the components (certain components such as vertical walls, columns, etc.) to avoid the risks caused by improper counterweight (large loads concentrated on a certain part) during the lifting process.

[0027] Preferably, traversing all the rules in the sequential constraint logic to perform component assembly sequence analysis specifically refers to systematically evaluating the hoisting sequence of all prefabricated components by analyzing and applying a variety of sequential constraint rules to ensure that the hoisting of each prefabricated component complies with all constraint rules, generating first hoisting sequence constraint component information and second hoisting sequence constraint component information, wherein the first hoisting sequence constraint component information is component hoisting sequence constraint information that must be executed during the construction process, and these components are dependent on each other or structural stability and must be hoisted in a specific order; the second hoisting sequence constraint component information is not Information about components that are subject to sequence restrictions and information about components that are not subject to sequence restrictions. Although most prefabricated components need to be hoisted in sequence, some projects are not subject to sequence restrictions. These components can be flexibly arranged during hoisting without affecting the overall structure or safety. For example, non-load-bearing components, such as exterior wall decorative panels, interior partitions, and other non-load-bearing components, can be hoisted after the main structure is completed; equipment and systems, some electromechanical equipment (such as air-conditioning units, pipelines, etc.) can be installed after the main structure is hoisted; additional components, some additional components (such as balconies, exterior decorations) can also be hoisted in stages after the main structure is completed. By flexibly adjusting the hoisting order of prefabricated components of the assembly plan during the construction process, the overall production efficiency can be improved.

[0028] In a possible implementation, the specific configuration of the lifting sequence constraint information determination module 20 also includes reading a preset three-dimensional assembly model of the target prefabricated building, wherein the preset three-dimensional assembly model displays the self structure of the multiple prefabricated components, and the connection structure with other components; based on the preset three-dimensional assembly model, traversing all the rules in the sequence constraint logic, and generating the first lifting sequence constraint component information and the second lifting sequence constraint component information that satisfy the sequence constraint logic.

[0029] Preferably, a preset three-dimensional assembly model of the target prefabricated building is obtained, which contains the self-structure (such as shape, size information, etc.) of all prefabricated components and the structural information of interconnected components. For example, the preset three-dimensional assembly model can show the specific positions of prefabricated components such as walls, columns, and beams, and how they are connected to each other; then each component in the three-dimensional model is analyzed, and component information including its type (such as load-bearing components, non-load-bearing components, etc.), size and material are identified, and the connection points and force analysis of each prefabricated component are recorded, and then all constraint rules in the preset sequential constraint logic are traversed and applied, and all prefabricated components are analyzed and matched to generate a set of lifting sequences that must be followed, usually including load-bearing components and key connecting components, which is called the first lifting sequence constraint component information, to ensure that their installation sequence does not affect the stability and safety of the overall structure; for those components that are not restricted by a specific order (such as certain decorative components or secondary structural components), they are marked as second lifting sequence constraint component information.

[0030] The assembly scheme fitting module 30 is used to obtain the assembly duration requirement, and fit the assembly scheme in combination with the hoisting sequence constraint information and the supply time of the various prefabricated components to generate N groups of assembly schemes and N groups of initial energy consumption of assembly equipment.

[0031] Preferably, the assembly period requirement refers to determining the total construction period of the construction project and the time requirements for each stage to ensure that the assembly of the building is completed within the scheduled time. Then, based on the lifting sequence constraint information and the supply time of various prefabricated components, the assembly scheme is fitted, that is, N groups of possible assembly schemes are generated. Each scheme should meet the construction period requirements, lifting sequence and component supply conditions. Each assembly scheme contains different construction stages and different construction equipment configurations. For each assembly scheme, the required energy consumption is preliminarily estimated, specifically including the energy consumption of lifting equipment, transport vehicles, and other construction equipment, to form the corresponding N groups of initial energy consumption data for assembly equipment. By obtaining the assembly period requirement, a reasonable plan can be effectively formulated for the construction of prefabricated buildings, and then the initial energy consumption is estimated by fitting the assembly scheme to ensure construction progress, efficiency and resource utilization.

[0032] In a possible implementation, the specific configuration of the assembly scheme fitting module 30 also includes: establishing multiple assembly requirement times for the multiple prefabricated components; fitting assembly schemes for different time periods according to the supply time of the multiple prefabricated components, the multiple assembly requirement times and the lifting sequence constraint information to generate the N groups of assembly schemes, wherein different prefabricated components can be assembled in parallel at the same time node in the N groups of assembly schemes; and performing lifting equipment operation analysis on the assembly nodes for the N groups of assembly schemes to generate the initial energy consumption of the N groups of assembly equipment.

[0033] Preferably, multiple assembly requirement times for the multiple prefabricated components are established, specifically, for each prefabricated component, the time required for its assembly process is evaluated. These assembly requirement times may vary depending on the type, size, material and complexity of the component. By analyzing the assembly requirements of each component, the specific time required for its lifting and installation process can be determined, and then multiple assembly plans for different time periods are fitted according to the supply time of the multiple prefabricated components, the multiple assembly requirement times and the lifting sequence constraint information. Specifically, according to the actual supply time of each prefabricated component, it is determined when it can be put into assembly, and then the assembly requirement time of each component is combined with its supply time to ensure that the component can be lifted in time after arriving at the site, and then the determined lifting sequence is applied. The assembly sequence constraint rules are used to ensure that the next component will not be hoisted when some components are not in place or have not been hoisted. Finally, N groups of assembly schemes are generated, and each scheme can perform parallel assembly of different prefabricated components at the same time node. Then, for each group of assembly schemes, the hoisting equipment required at each assembly node (such as cranes, forklifts, etc.) and their operation in each time period are evaluated. According to the operating time, type and energy consumption characteristics of the equipment, the initial energy consumption of each hoisting equipment in each assembly scheme is estimated, including the energy consumption calculation of each stage such as the start, operation and stop of the assembly equipment. Finally, the equipment operation analysis results of all assembly schemes are integrated to generate the initial energy consumption estimation results containing each assembly scheme, that is, to generate N groups of initial energy consumption of assembly equipment.

[0034] In a possible implementation, the specific configuration of the assembly scheme fitting module 30 also includes obtaining N assembly node sets of the N groups of assembly schemes; extracting assembly features for any assembly node in the N assembly node sets to generate N node assembly feature sets, wherein the extracted assembly features include extracting node assembly component type features, assembly position features, and assembly connection features; establishing N lifting equipment operation feature sets based on the N node assembly feature sets; performing equipment operation simulation with the N lifting equipment operation feature sets to generate the initial energy consumption of the N groups of assembly equipment.

[0035] Preferably, all corresponding key assembly node information is extracted from the generated N assembly schemes to obtain N assembly node sets, all assembly nodes of the N assembly node sets represent specific locations and related components for assembly at different time points, and then assembly features are extracted for any assembly node in the N assembly node sets. Extracting assembly features includes extracting node assembly component type features, assembly position features, and assembly connection features. Specifically, node assembly component type features are extracted to determine the component type involved in each assembly node, such as walls, beams, columns, etc., and record the physical and functional characteristics of these components; assembly position features are extracted to collect the spatial position coordinate information of each assembly node, including its specific position in the building structure, to understand the layout and mutual relationship of the components; assembly connection features are extracted to analyze the connection mode of each assembly node, such as Welding, bolt connection, etc., record the details of the connection in order to evaluate its stability and construction complexity; by extracting the assembly features of the assembly nodes, generate the corresponding N node assembly feature sets, and then establish N lifting equipment operation feature sets based on the N node assembly feature sets, that is, based on the extracted assembly features, analyze the type, configuration and operating conditions of the lifting equipment required for each assembly node. The lifting equipment operation characteristics include the workload, operation mode, and operating speed of the lifting equipment, which are used to evaluate the demand for lifting equipment at different assembly nodes; finally, based on the N lifting equipment operation feature sets, use simulation software to simulate the operation of each lifting equipment at different assembly nodes. Through detailed simulation of the equipment operation, it is possible to predict its energy consumption performance when performing tasks, thereby generating N groups of assembly equipment initial energy consumption, which provides an important basis for the subsequent selection and optimization of assembly schemes.

[0036] The assembly environment requirement establishing module 40 is used to establish the assembly environment requirements of the various prefabricated components.

[0037] Preferably, establishing the assembly environment requirements of various prefabricated components specifically refers to analyzing and determining the specific assembly environment conditions required for various prefabricated components during the construction of prefabricated buildings, which may include temperature requirements. Different components may have specific requirements for the ambient temperature during assembly, such as some materials may be difficult to operate at low temperatures or affect the bonding performance; humidity requirements. High or low humidity may affect the performance and construction quality of some materials, especially when cement and other chemical materials are involved; wind speed and climate conditions. Excessive wind speed may affect the safety of hoisting operations, and it is necessary to ensure that operations are carried out under safe climate conditions; lighting conditions. Adequate lighting contributes to the safety and work efficiency of construction workers, especially when working outdoors; noise and vibration restrictions. Some components may have requirements for the noise and vibration of the surrounding environment during the assembly process; safety and health requirements. Ensure that the assembly environment meets safety standards to avoid affecting the health of construction workers, such as using safety protection equipment and ensuring ventilation on site. By establishing these assembly environment requirements, it can be ensured that in the actual construction process, each prefabricated component is assembled under the most suitable conditions, thereby improving construction efficiency and quality.

[0038] The environment prediction time series acquisition module 50 is used to establish a prediction time zone based on the assembly duration requirement and acquire the environment prediction time series of the prediction time zone.

[0039] Preferably, establishing a forecast time zone based on the assembly period requirement means that according to the assembly period requirement (overall construction time) of the project construction, the construction time period is demarcated, that is, the forecast time zone is established for the prediction and evaluation of environmental conditions. The forecast time zone covers the key stages of assembly, ensuring that external environmental factors that may affect the assembly effect are taken into account during the construction process. In the determined forecast time zone, the changes in environmental conditions related to the time period are obtained through meteorological data or environmental monitoring. The environmental forecast time series includes temperature changes, temperature forecasts in the forecast time zone, including day and night temperature differences and climate changes; humidity changes, the expected humidity level in the time zone, which may affect the performance of materials and construction quality; precipitation probability, the possibility of rainfall in the forecast time zone, which has a direct impact on the feasibility of outdoor construction; wind speed and wind direction, changes in wind speed and wind direction during construction; and also includes sunlight exposure time, warnings of extreme weather events (such as blizzards or high temperatures), etc. By obtaining the environmental forecast time series of the forecast time zone, the determined assembly plan can be better adjusted to cope with changing environmental conditions, thereby optimizing construction efficiency and safety.

[0040] The environmental control energy consumption prediction module 60 is used to combine the assembly environment requirements and the environmental prediction time sequence, perform environmental control energy consumption prediction for the N groups of assembly solutions, and merge it with the initial energy consumption of the N groups of assembly equipment to generate N groups of assembly required energy consumption.

[0041] Preferably, predefined environmental condition requirements (such as temperature, humidity, wind speed, etc.) are combined with actual environmental change data obtained within the prediction time zone to evaluate the additional energy consumption required for assembly work under specific environmental conditions. Then, based on the environmental requirements and environmental prediction time series, environmental control energy consumption prediction is performed for N groups of assembly schemes, that is, according to the characteristics of each assembly scheme (such as required equipment, working conditions, etc.), the additional energy that may be consumed under specific environmental conditions is analyzed and predicted. For example, in hot weather, additional cooling equipment may be required, and in a high humidity environment, drying treatment may be required. Then, the predicted environmental control energy consumption is combined with the initial energy consumption of each assembly scheme when the equipment is running, to form a comprehensive energy consumption evaluation that takes into account the basic energy consumption of the equipment and the additional energy consumption required due to environmental changes. Finally, N groups of assembly demand energy consumption are obtained, that is, the overall energy consumption demand of each assembly scheme under specific environmental conditions, which helps to select the most energy-efficient assembly scheme, thereby reducing the energy consumption and cost of assembly building construction while meeting the construction progress and quality, and improving the sustainability of the overall assembly construction.

[0042] In one possible implementation, Figure 2 As shown, the specific configuration of the environmental control energy consumption prediction module 60 also includes determining the control mapping relationship between the environmental factors in the assembly environment requirements and the environmental control devices; wherein, in the control mapping relationship, one environmental control device corresponds to one or more controllable environmental factors; based on the control mapping relationship, the environmental prediction timing and the N groups of assembly schemes, the control requirement energy consumption of the environmental control device is fitted to generate N groups of environmental control energy consumption; the N groups of environmental control energy consumption are integrated with the initial energy consumption of the N groups of assembly equipment to generate the N groups of assembly requirement energy consumption.

[0043] Preferably, the control mapping relationship between the environmental factors and the environmental control devices in the assembly environment requirements is determined. Specifically, it means that during the construction process of prefabricated buildings, it is clear which environmental control devices (such as heaters, air conditioners, dehumidifiers, etc.) can affect or adjust specific environmental factors (such as temperature, humidity, air flow, etc.), that is, a control mapping relationship is established between each control device and the environmental factors it can adjust. For example, a heater may correspond to temperature control, and a dehumidifier may correspond to humidity control. The mapping relationship between environmental factors and environmental control devices is helpful for subsequent formulation of control strategies and energy consumption analysis. Then, the determined mapping relationship, environmental changes in the predicted time zone, and different assembly schemes are used to analyze and calculate the energy consumption requirements of each environmental control device under each scheme. Specifically, according to the environmental prediction time series, the changes in environmental factors at a specific time point are predicted, such as temperature increase or humidity increase, based on the characteristics of the assembly scheme. , determine the working status and operating time of each control device under specific changes in environmental factors, and then calculate the energy consumption demand of each device. Combine these calculation results to obtain the energy consumption demand of each assembly scheme under controlled environmental conditions, and obtain N groups of environmental control energy consumption, that is, the energy consumption required by the environmental control equipment corresponding to each assembly scheme. Each group of energy consumption values ​​reflects the energy consumption demand under specific environmental conditions to ensure the smooth progress of construction. Finally, the initial energy consumption of each assembly scheme (that is, the energy consumption required without environmental adjustment) is combined with the corresponding environmental control energy consumption to obtain the overall energy consumption of each scheme, and generate N groups of assembly demand energy consumption. The final result is a comprehensive energy consumption evaluation for each assembly scheme, which includes not only the basic operating energy consumption of the equipment, but also the additional energy consumption required under specific environmental conditions, which helps project managers optimize the selection of assembly schemes to achieve the lowest energy consumption and the best construction efficiency.

[0044] In a possible implementation, the specific configuration of the environmental control energy consumption prediction module 60 also includes extracting the assembly time of the various prefabricated components in the N groups of assembly schemes, and combining the control mapping relationship and the environmental prediction timing to perform control fitting on the environmental control equipment to obtain environmental control equipment operating parameters that meet the assembly environment requirements; performing energy consumption analysis based on the environmental control equipment operating parameters to generate the N groups of environmental control energy consumption.

[0045] Preferably, the specific assembly time required to complete the assembly of each prefabricated component is obtained from each assembly scheme. These assembly times affect the duration and intensity of the environmental control equipment that needs to run. Combined with the control mapping relationship and the environmental prediction timing, it means that when performing environmental control, how each control device responds to environmental changes and environmental predictions within a specific time period (such as changes in temperature and humidity) are considered according to the defined control mapping relationship. For example, if the temperature rises within a certain time period, the mapping relationship may indicate that the heater should reduce power and the air conditioner should increase cooling capacity; then the environmental control equipment is controlled and fitted to obtain the operating parameters of the environmental control equipment that meet the assembly environment requirements. Specifically, based on the extracted assembly time, it is determined that the environmental control equipment needs to be operated at different assembly stages. For the environmental control equipment to be started, control strategies are designed to optimize the operation of the environmental equipment according to the control mapping relationship and environmental prediction, such as adjusting the temperature set point of the air conditioner to maintain a suitable assembly environment temperature. The specific operating parameters of the control equipment in each time period are obtained through simulation operation, such as power, on / off time, operating frequency, etc. Finally, the specific energy consumption of the environmental control equipment under each assembly scheme is analyzed using the obtained operating parameters of the environmental control equipment. For example, the total energy consumption is obtained by calculating the energy consumption of each device in a specific time period. Finally, the energy consumption data of all devices are summarized to generate N groups of environmental control energy consumption. These energy consumption data will be compared with the initial energy consumption of each assembly scheme in order to evaluate the performance of each scheme in terms of overall energy efficiency.

[0046] The prefabricated building construction module 70 is used to select an assembly scheme with the minimum energy consumption as a target assembly scheme based on the N groups of assembly required energy consumptions, and to carry out the construction of the target prefabricated building.

[0047] Preferably, N groups of assembly plans are analyzed according to the energy consumption of N groups of assembly requirements, the energy consumption of each group of assembly plans is evaluated and calculated, and the assembly plan with the lowest energy consumption and meeting the construction period and environmental requirements is selected as the target assembly plan through comparison to ensure that energy consumption and assembly construction costs are minimized while completing the assembly work. Then, under the selected target assembly plan, prefabricated building construction is carried out, including installing prefabricated components in accordance with the established lifting sequence and using appropriate equipment and techniques. The entire construction process follows the set environmental and construction period requirements to achieve the construction goals of high efficiency and low energy consumption.

[0048] In one possible implementation, the specific configuration of the prefabricated building construction module 70 also includes obtaining the target assembly requirement energy consumption corresponding to the target assembly scheme; performing assembly node analysis on the target assembly requirement energy consumption to generate node assembly energy consumption information; using the node assembly energy consumption information as a construction monitoring standard to obtain real-time node assembly energy consumption through sensor monitoring; and generating energy consumption abnormality reminder information when the deviation between the real-time node assembly energy consumption and the node assembly energy consumption information is greater than a preset deviation.

[0049] Preferably, the total required energy consumption of the target assembly scheme in the entire assembly construction process, that is, the target assembly required energy consumption, is determined, and then the target assembly required energy consumption is analyzed for assembly nodes. Specifically, the entire assembly process is divided into multiple specific nodes (for example, the assembly stage of each prefabricated component), and the energy consumption corresponding to each assembly node is calculated, that is, the node assembly energy consumption information is obtained, and the energy consumption data of each assembly node during the assembly time period is recorded in detail. The node assembly energy consumption information is used as the construction monitoring standard, and the actual energy consumption data of each assembly node of the prefabricated building construction is monitored and collected through a variety of sensors, that is, the real-time node assembly energy consumption is obtained. If the difference between the real-time monitored energy consumption value and the preset standard (node ​​assembly energy consumption information) exceeds a preset threshold (abnormal energy consumption may be caused by equipment failure, improper operation of workers or changes in the external environment, etc.), an abnormal energy consumption reminder message is generated to notify relevant personnel to take measures to ensure effective monitoring and management of energy consumption during the assembly process, so that potential problems can be discovered in time, thereby optimizing the construction process and reducing unnecessary energy consumption.

[0050] Although the present application makes various references to certain components in the platform according to the embodiments of the present application, any number of different components may be used and run on the user terminal and / or server, and the various units and components included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0051] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An energy consumption analysis platform for prefabricated building construction, characterized in that: include: A prefabricated component supply information acquisition module, used to acquire the prefabricated component supply information of the target prefabricated building, wherein the prefabricated component supply information includes the supply time of various prefabricated components; A hoisting sequence constraint information determination module, used to determine the hoisting sequence constraint information of the plurality of prefabricated components; An assembly scheme fitting module is used to obtain the assembly duration requirement, and to fit the assembly scheme in combination with the hoisting sequence constraint information and the supply time of the various prefabricated components, to generate N groups of assembly schemes and N groups of initial energy consumption of assembly equipment; An assembly environment requirement establishment module, used to establish assembly environment requirements for the various prefabricated components; An environment prediction time series acquisition module is used to establish a prediction time zone based on the assembly period requirement and acquire the environment prediction time series of the prediction time zone; An environmental control energy consumption prediction module is used to combine the assembly environment requirements and the environmental prediction time sequence, perform environmental control energy consumption prediction for the N groups of assembly plans, and merge it with the initial energy consumption of the N groups of assembly equipment to generate N groups of assembly required energy consumption; The prefabricated building construction module is used to select the assembly scheme with the minimum energy consumption as the target assembly scheme based on the N groups of assembly demand energy consumption, and to carry out the construction of the target prefabricated building.

2. The energy consumption analysis platform for prefabricated building construction according to claim 1, characterized in that: Determining the hoisting sequence constraint information of the plurality of prefabricated components includes: Configure sequential constraint logic, wherein the sequential constraint logic includes bottom-level priority rules, center-of-gravity balance rules, structural continuity rules, and counterweight rules; Traversing all the rules in the sequence constraint logic to perform component assembly sequence analysis, and generating first hoisting sequence constraint component information and second hoisting sequence constraint component information; The first hoisting sequence constrained component information is component hoisting sequence constrained information that must be executed during the construction process, and the second hoisting sequence constrained component information is component information that is not restricted by sequence.

3. The energy consumption analysis platform for prefabricated building construction according to claim 2, characterized in that: Traversing all the rules in the sequence constraint logic to perform component assembly sequence analysis, generating first hoisting sequence constraint component information and second hoisting sequence constraint component information, including: Reading a preset three-dimensional assembly model of the target prefabricated building, wherein the preset three-dimensional assembly model displays the structures of the various prefabricated components themselves and the connection structures with other components; Based on the preset three-dimensional assembly model, all rules in the sequence constraint logic are traversed to generate the first hoisting sequence constraint component information and the second hoisting sequence constraint component information that meet the sequence constraint logic.

4. The energy consumption analysis platform for prefabricated building construction according to claim 1, characterized in that: Obtaining the assembly period requirement, and fitting the assembly scheme in combination with the hoisting sequence constraint information and the supply time of the various prefabricated components, generating N groups of assembly schemes and N groups of initial energy consumption of assembly equipment, including: Establishing multiple assembly time requirements for the multiple prefabricated components; According to the supply time of the multiple prefabricated components, the multiple assembly requirement time and the hoisting sequence constraint information, assembly schemes of different time periods are fitted to generate the N groups of assembly schemes, wherein different prefabricated components can be assembled in parallel at the same time node in the N groups of assembly schemes; An operation analysis of the hoisting equipment of the assembly nodes is performed for the N groups of assembly schemes to generate initial energy consumption of the N groups of assembly equipment.

5. The energy consumption analysis platform for prefabricated building construction according to claim 4, characterized in that: The operation analysis of the hoisting equipment of the assembly nodes is performed for the N groups of assembly schemes to generate the initial energy consumption of the N groups of assembly equipment, including: Obtaining N assembly node sets of the N groups of assembly solutions; Extracting assembly features for any assembly node in the N assembly node sets to generate N node assembly feature sets, wherein the extracted assembly features include extracting node assembly component type features, assembly position features, and assembly connection features; Establishing N lifting equipment operation feature sets according to the N node assembly feature sets; The equipment operation simulation is performed based on the N lifting equipment operation feature sets to generate the initial energy consumption of the N groups of assembly equipment.

6. The energy consumption analysis platform for prefabricated building construction according to claim 1, characterized in that: In combination with the assembly environment requirements and the environment prediction time sequence, environmental control energy consumption prediction is performed for the N groups of assembly solutions, and is integrated with the initial energy consumption of the N groups of assembly equipment to generate N groups of assembly required energy consumption, including: Determine the control mapping relationship between the environmental factors in the assembly environment requirements and the environmental control equipment; Wherein, the control mapping relationship is that one environmental control device corresponds to one or more controllable environmental factors; Based on the control mapping relationship, the environment prediction time sequence and the N groups of assembly schemes, the control demand energy consumption of the environment control device is fitted to generate N groups of environment control energy consumption; The N groups of environmental control energy consumption are integrated with the N groups of assembly equipment initial energy consumption to generate the N groups of assembly required energy consumption.

7. The energy consumption analysis platform for prefabricated building construction according to claim 6, characterized in that: Based on the control mapping relationship, the environment prediction time sequence and the N groups of assembly schemes, the control demand energy consumption of the environment control device is fitted to generate N groups of environment control energy consumption, including: Extracting the assembly time of the various prefabricated components in the N groups of assembly schemes, and combining the control mapping relationship and the environmental prediction time sequence to perform control fitting on the environmental control device to obtain operating parameters of the environmental control device that meet the assembly environment requirements; Energy consumption analysis is performed based on the operating parameters of the environmental control equipment to generate the N groups of environmental control energy consumption.

8. The energy consumption analysis platform for prefabricated building construction according to claim 1, characterized in that: Also includes: Obtaining target assembly required energy consumption corresponding to the target assembly scheme; Performing assembly node analysis on the target assembly required energy consumption to generate node assembly energy consumption information; Using the node assembly energy consumption information as a construction monitoring standard, real-time node assembly energy consumption is acquired through sensor monitoring; When the deviation between the real-time node assembly energy consumption and the node assembly energy consumption information is greater than a preset deviation, energy consumption abnormality reminder information is generated.

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