Construction control method and device based on electromechanical construction full-process simulation

Abstract

The invention discloses a construction control method and device based on electromechanical construction full-process simulation, and relates to the technical field of intelligent control. The method comprises the following steps: analyzing electromechanical project drawing information to obtain an electromechanical engineering multi-process module parameter set; constructing an electromechanical engineering construction digital twinborn body; performing construction node disassembly and construction scheme analysis on the electromechanical engineering multi-process module parameter set to obtain a multi-module construction process parameter scheme; carrying out analogue simulation to obtain electromechanical construction simulation parameters; and carrying out risk identification on the electromechanical construction simulation parameters to obtain electromechanical construction risk information, and carrying out construction optimization control on the multi-module construction process parameter scheme. The device is used for executing the method and comprises an analysis assembly, a fusion assembly, a disassembly analysis assembly, an analog simulation assembly and a construction optimization control assembly, the technical problem that in the prior art, the construction efficiency is low due to insufficient electromechanical construction intellectualization is solved, and the technical effect of improving the construction efficiency is achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a construction control method and device based on full-process simulation of electromechanical construction. Background Art

[0002] With the rapid development of modern construction industry, electromechanical engineering projects, as an important part of the construction field, are becoming increasingly complex and large-scale. In the process of electromechanical construction, engineering projects often involve multiple complex process modules, including equipment installation, electrical wiring, system debugging, etc., and each module requires precise coordination and real-time information sharing. However, traditional electromechanical construction control methods often rely on manual experience and on-site coordination, and it is difficult to fully and accurately grasp each link in the construction process, resulting in low construction efficiency, cost overruns, increased safety risks and other problems. In order to meet these challenges, intelligent and information-based construction technology has gradually become an inevitable trend in the development of the industry. Summary of the invention

[0003] The present application provides a construction control method and device based on full-process simulation of electromechanical construction, which solves the technical problem in the prior art of low construction efficiency caused by insufficient intelligence in electromechanical construction.

[0004] In a first aspect of the present application, a construction control method based on full-process simulation of electromechanical construction is provided, the method comprising: Acquire mechanical and electrical project drawing information, perform multi-process module analysis on the mechanical and electrical project drawing information, and obtain a multi-process module parameter set for mechanical and electrical engineering; use digital twin technology to perform twin simulation analysis and module topology fusion on the multi-process module parameter set for mechanical and electrical engineering, and construct a digital twin for mechanical and electrical engineering construction; perform construction node disassembly and construction scheme analysis on the multi-process module parameter set for mechanical and electrical engineering, and obtain a multi-module construction process parameter scheme; simulate the multi-module construction process parameter scheme based on the digital twin for mechanical and electrical engineering construction, and obtain mechanical and electrical construction simulation parameters; perform risk identification on the mechanical and electrical construction simulation parameters, obtain mechanical and electrical construction risk information, and perform construction optimization control on the multi-module construction process parameter scheme based on the mechanical and electrical construction risk information.

[0005] The second aspect of the present application provides a construction control device based on full-process simulation of electromechanical construction, the device comprising: A parsing component, the parsing component is used to obtain mechanical and electrical project drawing information, perform multi-process module parsing on the mechanical and electrical project drawing information, and obtain a multi-process module parameter set for mechanical and electrical engineering; a fusion component, the fusion component is used to use digital twin technology to perform twin simulation analysis and module topology fusion on the multi-process module parameter set of the mechanical and electrical engineering, and construct a digital twin of mechanical and electrical engineering construction; a disassembly and analysis component, the disassembly and analysis component is used to perform construction node disassembly and construction scheme analysis on the multi-process module parameter set of the mechanical and electrical engineering, and obtain a multi-module construction process parameter scheme; a simulation component, the simulation component is used to simulate the multi-module construction process parameter scheme based on the digital twin of the mechanical and electrical engineering construction, and obtain mechanical and electrical construction simulation parameters; a construction optimization control component, the construction optimization control component is used to identify risks of the mechanical and electrical construction simulation parameters, obtain mechanical and electrical construction risk information, and perform construction optimization control on the multi-module construction process parameter scheme based on the mechanical and electrical construction risk information.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: The present application solves the technical problem in the prior art that insufficient intelligence in electromechanical construction leads to low construction efficiency, and achieves the technical effect of improving construction efficiency through full-process simulation and optimization control of electromechanical construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic diagram of a construction control method based on full-process simulation of electromechanical construction provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a construction control device based on full-process simulation of electromechanical construction provided in an embodiment of the present application.

[0009] Explanation of the reference numerals: analysis component 11, fusion component 12, disassembly and analysis component 13, simulation component 14, construction optimization and control component 15. DETAILED DESCRIPTION

[0010] The present application solves the technical problem of low construction efficiency caused by insufficient intelligence in electromechanical construction in the prior art by providing a construction control method and device based on full-process simulation of electromechanical construction.

[0011] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0012] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0013] Embodiment 1, as Figure 1 As shown, the present application provides a construction control method based on full-process simulation of electromechanical construction, wherein the method includes: Acquire mechanical and electrical project drawing information, perform multi-process module parsing on the mechanical and electrical project drawing information, and obtain a multi-process module parameter set for mechanical and electrical engineering.

[0014] First, it is necessary to obtain the mechanical and electrical project drawing information as the basic data source for construction process analysis. Then, the mechanical and electrical project drawing information is parsed by multi-process modules to identify the various construction modules in the project (such as equipment installation, electrical wiring, piping system, etc.) and their corresponding technical parameters, layout, connection relationships and other key information. Through this analysis, a set of parameters of each module is extracted, namely the mechanical and electrical engineering multi-process module parameter set. The mechanical and electrical engineering multi-process module parameter set will provide core data support for subsequent digital twin simulation, construction plan analysis, etc., thereby ensuring the accuracy and operability of the entire mechanical and electrical construction process.

[0015] Digital twin technology is used to perform twin simulation analysis and module topology fusion on the multi-process module parameter set of the electromechanical engineering to construct a digital twin of the electromechanical engineering construction.

[0016] The digital twin technology is used to perform twin simulation analysis on the parameter set of multi-process modules of electromechanical engineering. The digital twin technology can create a real-time, dynamic digital model of the electromechanical system in the physical world in the virtual space, namely the digital twin. This twin can reflect the status, data and interaction of each module in the real electromechanical construction process. When performing twin simulation analysis, not only the parameters of each module are simulated, but also its actual workflow, operating status and interaction process are dynamically simulated. Through module topology fusion, each process module is combined according to the actual topological structure to form a complete construction system. In this way, the constructed digital twin of electromechanical engineering construction can display and predict the entire construction process in real time in the virtual space, providing reliable data support and intuitive simulation platform for subsequent process optimization, risk control and real-time monitoring.

[0017] Furthermore, the construction of a digital twin of electromechanical engineering construction includes: The parameter set of the multi-process module of the electromechanical engineering is classified and identified to obtain the construction attribute parameters of the multi-process module, wherein the construction attribute parameters of the multi-process module include the distribution area, structural size, material properties and construction requirements of each process module; the BIM technology is used to perform spatial modeling and module architecture fusion on the construction attribute parameters of the multi-process module to generate a BIM model of the electromechanical engineering; the multi-process modules of the electromechanical engineering are respectively trained for task analysis to obtain a multi-process module task model set; the digital twin technology is used to perform twin simulation analysis on the BIM model of the electromechanical engineering and the multi-process module task model set to construct the digital twin of the electromechanical engineering construction, wherein BIM technology refers to Building Information Modeling, i.e., building information modeling. The building information model not only contains the geometric information of the building, but also contains various data related to the building, such as material type, specification, cost, etc. BIM technology realizes information sharing and transmission in the entire life cycle of project planning, operation and maintenance by digitally expressing the physical and functional characteristics of the construction project.

[0018] Specifically, the parameter set of the multi-process modules of electromechanical engineering is classified and labeled in detail to identify the construction attribute parameters of each module. The construction attribute parameters of the multi-process modules include the distribution area of ​​the module (i.e., the position of the module in the entire construction area), structural size (physical size and shape of the module), material properties (material properties used in the module) and construction requirements (such as installation specifications and operating requirements); the construction attribute parameters of these multi-process modules are spatially modeled using the Building Information Modeling (BIM) technology; BIM technology can create a three-dimensional building information model, integrating information such as the spatial position, size and physical properties of the module into a visual BIM model; at the same time, BIM technology supports the integration of module architecture, integrating the modules according to the relationship and layout in actual construction to generate a complete BIM model of electromechanical engineering. The multi-process module of electromechanical engineering refers to different functional process modules in electromechanical engineering, such as electrical module, ventilation and air conditioning module, water supply and drainage module, pipeline direction module, etc. Different modules have different corresponding construction tasks. For example, the construction tasks of pipeline direction module include the accuracy of equipment installation dimensions and pipeline collision assessment. Each multi-process module of electromechanical engineering is trained separately for task analysis, that is, to analyze the specific tasks of each module in the construction process, such as installation, connection, and debugging, and then generate the corresponding multi-process module task model set. The digital twin technology is used to perform twin simulation analysis on the constructed electromechanical engineering BIM model and the multi-process module task model set, that is, to integrate the construction information and task requirements into the digital twin, so as to build a digital twin of electromechanical engineering construction that can reflect the construction status, dynamic task execution and interaction between modules in real time.

[0019] Furthermore, the step of obtaining a multi-process module task model set includes: The construction tasks of the electromechanical engineering multi-process modules are analyzed respectively to obtain a list of construction tasks for the multi-process modules; construction data mining is performed based on the electromechanical engineering multi-process modules to obtain a multi-process module construction data set; analysis algorithms are optimized based on the multi-process module construction task list to determine a set of multi-process module task analysis algorithms; task training and optimization are performed on the multi-process module construction data set through the multi-process module task analysis algorithm set to obtain the multi-process module task model set.

[0020] Specifically, the construction tasks of each multi-process module of the electromechanical engineering are analyzed, and the specific task content of each module in the actual construction (such as installation, detection, connection, etc.) is analyzed. Based on this, a multi-process module construction task list is generated, and the construction task requirements and sequence of each module are recorded in detail. Based on the multi-process modules analyzed above, data mining is performed on the historical construction data and real-time construction feedback of each module to extract the multi-process module construction data set. The multi-process module construction data set contains the actual operation data, task execution time, performance and other information of each module, providing a data basis for subsequent model training. Based on the construction task list, the task requirements and data characteristics of each module are analyzed respectively, and the corresponding algorithms are applied and optimized to form a multi-process module task analysis algorithm set. The algorithms in the multi-process module task analysis algorithm set can more accurately reflect the execution characteristics and optimal parameter settings of each module task after optimization. The optimized task analysis algorithm set is used to perform task training on the multi-process module construction data set. Through training, the information in the data set is integrated, summarized and optimized to gradually improve the accuracy and stability of the model, and finally a multi-process module task model set containing the task models of each module is obtained.

[0021] The construction node disassembly and construction scheme analysis are performed on the multi-process module parameter set of the electromechanical engineering to obtain a multi-module construction process parameter scheme.

[0022] The construction node disassembly of the multi-process module parameter set of the electromechanical engineering is carried out. The construction node disassembly refers to the decomposition of the entire electromechanical engineering process into multiple key nodes, each of which represents a specific task or step that needs to be paid attention to during the construction process. The construction plan analysis is carried out on the disassembled construction nodes; by analyzing the construction requirements, execution conditions and time arrangements of each node, a construction process plan suitable for the entire project is formulated, including the construction sequence of different modules, the coordination relationship between nodes and the requirements for resource allocation, so that the construction process of each module can be effectively coordinated under the premise of meeting the quality and progress requirements. Through the construction node disassembly and construction plan analysis, a multi-module construction process parameter plan is obtained. The parameter plan contains the detailed parameters of each module during the construction process, such as time nodes, construction sequence, dependencies, etc., which provides basic data for subsequent simulation and risk identification, and ensures the rationality and efficiency of the entire electromechanical engineering construction process.

[0023] Furthermore, the method of obtaining the multi-module construction process parameter scheme includes: The construction nodes of each process module in the electromechanical engineering multi-process module parameter set are disassembled to obtain a multi-process module construction node set; based on the electromechanical engineering multi-process module parameter set, the construction schemes of the multi-process module construction node set are respectively analyzed to obtain a multi-module node construction parameter scheme set, wherein the multi-module node construction parameter scheme set includes construction technology, construction resources and construction sequence; according to the multi-process module construction node set, an electromechanical construction evaluation system is established; based on the electromechanical construction evaluation system, the multi-module node construction parameter scheme set is evaluated and optimally combined to obtain the multi-module construction process parameter scheme.

[0024] Specifically, each process module in the multi-process module parameter set of electromechanical engineering is disassembled in detail for construction nodes, and the construction tasks of each module are decomposed into multiple construction nodes to form a multi-process module construction node set, where each node corresponds to a specific construction task or step, ensuring that the construction details of each process module are clearly defined; based on the multi-process module parameter set, a construction scheme analysis is performed on each node in the construction node set to obtain a multi-module node construction parameter scheme set, which includes the specific construction process (such as installation method, connection method), construction resources (such as required manpower, equipment, materials) and construction sequence (i.e., the execution sequence and dependency of the nodes) of each construction node; based on the multi-process module construction node set, an electromechanical construction evaluation system is established, which is used to evaluate the execution effect, resource utilization and construction safety of the construction nodes to ensure that the construction method and sequence of each node are optimized; based on the electromechanical construction evaluation system, the multi-module node construction parameter scheme set is evaluated, and the effects, resource efficiency and safety of each scheme are compared, and then optimized and combined to obtain the final multi-module construction process parameter scheme.

[0025] Furthermore, the obtaining of the multi-module construction process parameter scheme includes: The electromechanical construction evaluation system is systematically classified according to the multi-process module construction node set to obtain a multi-module node construction evaluation system set; the multi-module node construction parameter scheme set is mapped and evaluated according to the multi-module node construction evaluation system set to obtain a multi-module node construction scheme evaluation parameter set; node parameters of the multi-module node construction parameter scheme set are optimized based on the multi-module node construction scheme evaluation parameter set to obtain a multi-module node construction parameter set; the multi-module node construction parameter set is parameter-combined according to the multi-process module construction node set to obtain the multi-module construction process parameter scheme.

[0026] Specifically, the electromechanical construction evaluation system is systematically classified according to the multi-process module construction node set, so as to establish an adaptive evaluation system for the construction nodes of different modules and form a multi-module node construction evaluation system set. The multi-module node construction evaluation system set ensures that the evaluation system corresponding to each construction node can accurately reflect its characteristics and needs; the multi-module node construction evaluation system set is used to map and evaluate the multi-module node construction parameter scheme set, so as to generate a multi-module node construction scheme evaluation parameter set. The multi-module node construction scheme evaluation parameter set contains the evaluation data of each node construction scheme, such as resource consumption efficiency, construction difficulty, execution effect, etc., to provide a reference for subsequent optimization; based on the multi-module node construction scheme evaluation parameter set, the multi-module node construction parameter scheme set is analyzed, and a better node construction parameter combination is selected to generate a multi-module node construction parameter set; the multi-module node construction parameter set is finally combined according to the multi-process module construction node set to form a multi-module construction process parameter scheme.

[0027] Based on the electromechanical engineering construction digital twin, the multi-module construction process parameter scheme is simulated to obtain electromechanical construction simulation parameters.

[0028] Based on the previously constructed digital twin of electromechanical engineering construction, the multi-module construction process parameter scheme is simulated, and the construction process is virtually executed through the digital twin, simulating the construction steps and parameter configuration of each module, and observing its performance in the digital environment. During the simulation process, the digital twin provides real-time feedback on the execution of the construction process and generates corresponding electromechanical construction simulation parameters, which include resource consumption, time progress, coordination between nodes, and potential risk factors of each module during the construction process. Through these simulation parameters, the weak links in the construction can be identified and optimized, providing precise guidance for the actual execution of the construction process.

[0029] Risk identification is performed on the electromechanical construction simulation parameters to obtain electromechanical construction risk information, and construction optimization control is performed on the multi-module construction process parameter scheme based on the electromechanical construction risk information.

[0030] Through in-depth risk identification of mechanical and electrical construction simulation parameters, potential risk points and weak links in the construction process can be identified. By analyzing the simulation parameter data of each module, we focus on construction progress deviations, abnormal resource consumption, coordination problems between nodes, etc., and then generate mechanical and electrical construction risk information, including specific risk types, probability of occurrence, scope of impact and possible consequences. Based on the identified mechanical and electrical construction risk information, the multi-module construction process parameter scheme is optimized and controlled, such as adjusting the construction process, optimizing resource allocation, etc., to reduce risks and optimize construction results. Through risk identification and construction optimization control, the stability and safety of the construction process can be significantly improved, ensuring that the mechanical and electrical engineering can be completed as planned and with high quality, while reducing construction interruptions and resource waste caused by unforeseen factors.

[0031] Furthermore, the construction optimization control of the multi-module construction process parameter scheme based on the electromechanical construction risk information includes: Perform risk factor analysis on the electromechanical construction risk information to obtain construction risk factor parameters, wherein the construction risk factor parameters include construction quality, construction progress and construction cost; perform optimization strategy analysis on the multi-module construction process parameter scheme based on the construction risk factor parameters to obtain a construction process parameter optimization strategy; optimize and adjust the multi-module construction process parameter scheme according to the construction process parameter optimization strategy to obtain multiple construction process parameter adjustment schemes; perform variation expansion and global optimization based on the multiple construction process parameter adjustment schemes, output the electromechanical construction process optimization parameter scheme, and perform construction optimization control through the electromechanical construction process optimization parameter scheme.

[0032] Specifically, the potential risk factors in the electromechanical construction risk information are analyzed in detail, and specific construction risk factor parameters are extracted, including key indicators such as construction quality, construction progress and construction cost. Based on the construction risk factor parameters, the optimization strategy of the existing multi-module construction process parameter scheme is analyzed, that is, a set of construction process optimization strategies are formulated by comprehensively considering factors such as construction quality, progress and cost. These strategies may include optimization of construction sequence, reallocation of resource allocation, and quality control measures for specific nodes. According to the formulated construction process parameter optimization strategy, the multi-module construction process parameter scheme is specifically optimized and adjusted to generate multiple different construction process parameter adjustment schemes, each of which corresponds to a possible optimization configuration to meet the needs under different construction environments and risk conditions. On the basis of generating multiple adjustment schemes, the parameter configurations of these schemes are further optimized through variation expansion and global optimization methods. Variation expansion refers to the variation of adjustment schemes in different dimensions to explore more possible scheme combinations. Global optimization is to find the optimal solution among all possible schemes through algorithm optimization. The electromechanical construction process optimization parameter scheme finally output is the optimal construction configuration after global optimization. The construction process is optimized and controlled in real time through the electromechanical construction process optimization parameter scheme.

[0033] Furthermore, the output of the electromechanical construction process optimization parameter scheme includes: Based on the electromechanical engineering construction digital twin, the multiple construction process parameter adjustment schemes are simulated and evaluated to obtain multiple construction adjustment scheme simulation effects; the multiple construction process parameter adjustment schemes are clustered and divided according to the multiple construction adjustment scheme simulation effects to obtain a construction adjustment scheme cluster, wherein the cluster center of the construction adjustment scheme cluster is the construction process parameter adjustment scheme with the largest construction adjustment scheme simulation effect; with the cluster center as the teacher solution, the construction adjustment scheme cluster is updated through variation learning, and the updated construction adjustment scheme cluster is used to perform global parameter optimization to output the electromechanical construction process optimization parameter scheme, wherein the teacher solution represents the learning target solution of the construction adjustment scheme cluster.

[0034] Specifically, based on the digital twin of electromechanical engineering construction, a simulation evaluation is performed on multiple generated construction process parameter adjustment schemes; through the simulation function of the digital twin, the performance of each adjustment scheme in the virtual environment is obtained, and key indicators such as construction quality, progress, and resource utilization are analyzed, so as to obtain the simulation effects of multiple construction adjustment schemes, and provide data support for subsequent scheme selection; according to the simulation effects of each construction adjustment scheme, the cluster analysis method is used to cluster these schemes; in each cluster cluster, the construction process parameter adjustment scheme with the best simulation effect is determined as the cluster center, that is, the scheme with the best simulation effect in the cluster, where each The center of the cluster represents a construction plan with a strong optimization effect, providing a benchmark for subsequent optimization; the cluster center plan is used as the teacher solution, which refers to the learning target solution of the construction adjustment plan cluster. The teacher solution is used to perform variation learning updates on other construction adjustment plans in the construction adjustment plan cluster; through this process, each plan is fine-tuned under the guidance of the cluster center plan to learn and absorb the advantages of the cluster center, thereby optimizing the parameter configuration within the plan cluster; using the updated construction adjustment plan cluster, the algorithm is used to perform global parameter optimization, further explore and select the optimal parameter configuration combination, and finally form the output electromechanical construction process optimization parameter plan.

[0035] In summary, the embodiments of the present application have at least the following technical effects: The present application solves the technical problem in the prior art that insufficient intelligence in electromechanical construction leads to low construction efficiency, and achieves the technical effect of improving construction efficiency through full-process simulation and optimization control of electromechanical construction.

[0036] Embodiment 2 is based on the same inventive concept as the construction control method based on full-process simulation of electromechanical construction in the above embodiment. Figure 2 As shown, the present application provides a construction control device based on full-process simulation of electromechanical construction, wherein the device includes: A parsing component 11, the parsing component 11 is used to obtain mechanical and electrical project drawing information, perform multi-process module parsing on the mechanical and electrical project drawing information, and obtain a multi-process module parameter set for mechanical and electrical engineering; a fusion component 12, the fusion component 12 is used to use digital twin technology to perform twin simulation analysis and module topology fusion on the multi-process module parameter set of the mechanical and electrical engineering, and construct a digital twin of mechanical and electrical engineering construction; a disassembly and analysis component 13, the disassembly and analysis component 13 is used to perform construction node disassembly and construction scheme analysis on the multi-process module parameter set of the mechanical and electrical engineering, and obtain a multi-module construction process parameter scheme; a simulation component 14, the simulation component 14 is used to simulate the multi-module construction process parameter scheme based on the digital twin of the mechanical and electrical engineering construction, and obtain mechanical and electrical construction simulation parameters; a construction optimization control component 15, the construction optimization control component 15 is used to identify risks of the mechanical and electrical construction simulation parameters, obtain mechanical and electrical construction risk information, and perform construction optimization control on the multi-module construction process parameter scheme based on the mechanical and electrical construction risk information.

[0037] Furthermore, the fusion component 12 is used to perform the following method: The parameter set of the multi-process module of the electromechanical engineering project is classified and identified to obtain the construction attribute parameters of the multi-process module, which include the distribution area, structural dimensions, material properties and construction requirements of each process module; the BIM technology is used to perform spatial modeling and module architecture fusion on the construction attribute parameters of the multi-process module to generate a BIM model of the electromechanical engineering project; task analysis training is performed on the multi-process modules of the electromechanical engineering project to obtain a multi-process module task model set; digital twin technology is used to perform twin simulation analysis on the BIM model of the electromechanical engineering project and the multi-process module task model set to construct a digital twin of the electromechanical engineering project construction.

[0038] Furthermore, the fusion component 12 is used to perform the following method: The construction tasks of the electromechanical engineering multi-process modules are analyzed respectively to obtain a list of construction tasks for the multi-process modules; construction data mining is performed based on the electromechanical engineering multi-process modules to obtain a multi-process module construction data set; analysis algorithms are optimized based on the multi-process module construction task list to determine a set of multi-process module task analysis algorithms; task training and optimization are performed on the multi-process module construction data set through the multi-process module task analysis algorithm set to obtain the multi-process module task model set.

[0039] Furthermore, the disassembly and analysis component 13 is used to perform the following method: The construction nodes of each process module in the electromechanical engineering multi-process module parameter set are disassembled to obtain a multi-process module construction node set; based on the electromechanical engineering multi-process module parameter set, the construction schemes of the multi-process module construction node set are respectively analyzed to obtain a multi-module node construction parameter scheme set, wherein the multi-module node construction parameter scheme set includes construction technology, construction resources and construction sequence; according to the multi-process module construction node set, an electromechanical construction evaluation system is established; based on the electromechanical construction evaluation system, the multi-module node construction parameter scheme set is evaluated and optimally combined to obtain the multi-module construction process parameter scheme.

[0040] Furthermore, the disassembly and analysis component 13 is used to perform the following method: The electromechanical construction evaluation system is systematically classified according to the multi-process module construction node set to obtain a multi-module node construction evaluation system set; the multi-module node construction parameter scheme set is mapped and evaluated according to the multi-module node construction evaluation system set to obtain a multi-module node construction scheme evaluation parameter set; node parameters of the multi-module node construction parameter scheme set are optimized based on the multi-module node construction scheme evaluation parameter set to obtain a multi-module node construction parameter set; the multi-module node construction parameter set is parameter-combined according to the multi-process module construction node set to obtain the multi-module construction process parameter scheme.

[0041] Furthermore, the simulation component 14 is used to perform the following method: The electromechanical engineering construction digital twin is used to simulate the multi-module construction process parameter scheme, and the electromechanical engineering construction digital twin is used to virtually execute the construction process, simulate the construction steps and parameter configuration of each module, and obtain the electromechanical construction simulation parameters. Further, the construction optimization control component 15 is used to execute the following method: Perform risk factor analysis on the electromechanical construction risk information to obtain construction risk factor parameters, wherein the construction risk factor parameters include construction quality, construction progress and construction cost; perform optimization strategy analysis on the multi-module construction process parameter scheme based on the construction risk factor parameters to obtain a construction process parameter optimization strategy; optimize and adjust the multi-module construction process parameter scheme according to the construction process parameter optimization strategy to obtain multiple construction process parameter adjustment schemes; perform variation expansion and global optimization based on the multiple construction process parameter adjustment schemes, output the electromechanical construction process optimization parameter scheme, and perform construction optimization control through the electromechanical construction process optimization parameter scheme.

[0042] Furthermore, the construction optimization control component 15 is used to execute the following method: Based on the electromechanical engineering construction digital twin, the multiple construction process parameter adjustment schemes are simulated and evaluated to obtain multiple construction adjustment scheme simulation effects; the multiple construction process parameter adjustment schemes are clustered and divided according to the multiple construction adjustment scheme simulation effects to obtain a construction adjustment scheme cluster, wherein the cluster center of the construction adjustment scheme cluster is the construction process parameter adjustment scheme with the largest construction adjustment scheme simulation effect; with the cluster center as the teacher solution, the construction adjustment scheme cluster is updated through variation learning, and the updated construction adjustment scheme cluster is used to perform global parameter optimization to output the electromechanical construction process optimization parameter scheme, wherein the teacher solution represents the learning target solution of the construction adjustment scheme cluster.

[0043] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0044] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0045] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A construction control method based on full-process simulation of electromechanical construction, characterized in that: The method comprises: Acquire electromechanical project drawing information, perform multi-process module analysis on the electromechanical project drawing information, and obtain a multi-process module parameter set for electromechanical engineering; Using digital twin technology to perform twin simulation analysis and module topology fusion on the multi-process module parameter set of the electromechanical engineering, and construct a digital twin of the electromechanical engineering construction; Perform construction node disassembly and construction scheme analysis on the electromechanical engineering multi-process module parameter set to obtain a multi-module construction process parameter scheme; Based on the electromechanical engineering construction digital twin, the multi-module construction process parameter scheme is simulated to obtain electromechanical construction simulation parameters; Risk identification is performed on the electromechanical construction simulation parameters to obtain electromechanical construction risk information, and construction optimization control is performed on the multi-module construction process parameter scheme based on the electromechanical construction risk information.

2. The construction control method based on full-process simulation of electromechanical construction as claimed in claim 1, characterized in that: The construction of a digital twin of electromechanical engineering construction includes: Classifying and labeling the electromechanical engineering multi-process module parameter set to obtain multi-process module construction attribute parameters, wherein the multi-process module construction attribute parameters include the distribution area, structural size, material properties and construction requirements of each process module; Using BIM technology to perform spatial modeling and module architecture integration on the construction attribute parameters of the multi-process modules to generate a BIM model for mechanical and electrical engineering; Perform task analysis training on the multi-process modules of electromechanical engineering respectively to obtain a multi-process module task model set; Digital twin technology is used to perform twin simulation analysis on the electromechanical engineering BIM model and the multi-process module task model set to construct the electromechanical engineering construction digital twin.

3. The construction control method based on full-process simulation of electromechanical construction as claimed in claim 2, characterized in that: The step of obtaining a multi-process module task model set includes: Analyze the construction tasks of the multi-process modules of the electromechanical engineering respectively to obtain a list of construction tasks of the multi-process modules; Perform construction data mining based on the electromechanical engineering multi-process module to obtain a multi-process module construction data set; Based on the multi-process module construction task list, analysis algorithms are respectively optimized to determine a multi-process module task analysis algorithm set; The multi-process module construction data set is optimized for task training using the multi-process module task analysis algorithm set to obtain the multi-process module task model set.

4. The construction control method based on full-process simulation of electromechanical construction according to claim 1, characterized in that: The scheme for obtaining multi-module construction process parameters includes: Disassembling the construction nodes of each process module in the electromechanical engineering multi-process module parameter set to obtain a multi-process module construction node set; Based on the electromechanical engineering multi-process module parameter set, the multi-process module construction node set is respectively analyzed for construction schemes to obtain a multi-module node construction parameter scheme set, wherein the multi-module node construction parameter scheme set includes construction technology, construction resources, and construction sequence; Establishing a mechanical and electrical construction evaluation system based on the multi-process module construction node set; Based on the electromechanical construction evaluation system, the multi-module node construction parameter solution set is evaluated and optimally combined to obtain the multi-module construction process parameter solution.

5. The construction control method based on full-process simulation of electromechanical construction as claimed in claim 4 is characterized in that: The step of obtaining the multi-module construction process parameter scheme includes: Classifying the electromechanical construction evaluation system according to the multi-process module construction node set to obtain a multi-module node construction evaluation system set; Mapping and evaluating the multi-module node construction parameter solution set according to the multi-module node construction evaluation system set to obtain a multi-module node construction solution evaluation parameter set; Based on the multi-module node construction scheme evaluation parameter set, node parameter optimization is performed on the multi-module node construction parameter scheme set to obtain a multi-module node construction parameter set; The multi-module node construction parameter set is combined according to the multi-process module construction node set to obtain the multi-module construction process parameter solution.

6. The construction control method based on full-process simulation of electromechanical construction as claimed in claim 1, characterized in that: The construction optimization control of the multi-module construction process parameter scheme based on the electromechanical construction risk information includes: Perform risk factor analysis on the electromechanical construction risk information to obtain construction risk factor parameters, where the construction risk factor parameters include construction quality, construction progress, and construction cost; Based on the construction risk factor parameters, an optimization strategy analysis is performed on the multi-module construction process parameter scheme to obtain a construction process parameter optimization strategy; Optimizing and adjusting the multi-module construction process parameter scheme according to the construction process parameter optimization strategy to obtain multiple construction process parameter adjustment schemes; Based on the multiple construction process parameter adjustment schemes, variation expansion and global optimization are performed to output an electromechanical construction process optimization parameter scheme, and construction optimization control is performed through the electromechanical construction process optimization parameter scheme.

7. The construction control method based on full-process simulation of electromechanical construction as claimed in claim 6, characterized in that: The output electromechanical construction process optimization parameter scheme includes: Based on the electromechanical engineering construction digital twin, a simulation evaluation is performed on the multiple construction process parameter adjustment schemes to obtain simulation effects of multiple construction adjustment schemes; Clustering the multiple construction process parameter adjustment schemes according to the simulation effects of the multiple construction adjustment schemes to obtain construction adjustment scheme clusters, wherein the cluster center of the construction adjustment scheme cluster is the construction process parameter adjustment scheme with the greatest construction adjustment scheme simulation effect; Taking the cluster center as the teacher solution, the construction adjustment scheme cluster is updated through variation learning, and the global parameter optimization is performed through the updated construction adjustment scheme cluster to output the electromechanical construction process optimization parameter scheme, wherein the teacher solution represents the learning target solution of the construction adjustment scheme cluster.

8. The construction control device based on the full process simulation of electromechanical construction is characterized by: The device is used to implement the construction control method based on full-process simulation of electromechanical construction according to any one of claims 1 to 7, and comprises: A parsing component, the parsing component is used to obtain electromechanical project drawing information, perform multi-process module parsing on the electromechanical project drawing information, and obtain a multi-process module parameter set for electromechanical engineering; A fusion component, wherein the fusion component is used to perform twin simulation analysis and module topology fusion on the multi-process module parameter set of the electromechanical engineering project by using digital twin technology to construct a digital twin of the electromechanical engineering project construction; A disassembly and analysis component, wherein the disassembly and analysis component is used to perform construction node disassembly and construction scheme analysis on the electromechanical engineering multi-process module parameter set to obtain a multi-module construction process parameter scheme; A simulation component, wherein the simulation component is used to simulate the multi-module construction process parameter scheme based on the electromechanical engineering construction digital twin to obtain electromechanical construction simulation parameters; A construction optimization control component is used to identify risks of the electromechanical construction simulation parameters, obtain electromechanical construction risk information, and perform construction optimization control on the multi-module construction process parameter scheme based on the electromechanical construction risk information.

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