Intelligent construction method and system based on artificial intelligence and intelligent equipment

Abstract

The invention relates to the technical field of intelligent construction in the construction industry, and particularly discloses an intelligent construction method and system based on artificial intelligence and intelligent equipment. The method comprises the following steps of S1, engineering information input, S2, construction scheme planning, S3, intelligent construction and collaborative operation, S4, digital twinning real-time mapping, S5, a monitoring and optimization stage and S6, intelligent construction efficiency evaluation. According to the invention, a building engineer inputs a three-dimensional engineering model and intelligent equipment information, and a strong artificial intelligence central system automatically identifies and splits the model and deduces a construction scheme; the intelligent equipment receives an instruction for collaborative operation through 5G communication, and obtains a construction collaborative efficiency evaluation coefficient and a construction quality evaluation coefficient through analysis; according to the intelligent building efficiency evaluation system and method, through cooperation of technologies such as artificial intelligence and cloud computing with distributed operation of the intelligent robot, refined and efficient production is achieved, and intelligent upgrading of the building industry is promoted.

Description

Technical Field

[0001] The present invention relates to the field of intelligent construction technology in the construction industry, and in particular to an intelligent construction method and system based on artificial intelligence and intelligent equipment. Background Art

[0002] Throughout the development of the construction industry, compared to industrial production, its products have long production cycles, high costs, large volumes, and non-repetitiveness, generally preventing mass production. To improve production efficiency, industrialization has long been a key area of ​​improvement for the construction industry. Prefabricated construction, a practice championed in recent years, essentially breaks down large buildings into smaller units for mass production in factories. However, due to various limitations, the overall assembly rate remains limited.

[0003] With the rapid development of science and technology, intelligent construction is a new construction method that deeply integrates new-generation information technology with engineering construction technology, achieving digitalization, networking, and intelligentization of all aspects of the entire construction process. Implementing intelligent construction can form a new data-driven construction and service model that integrates project design, production, and construction. It can achieve digital simulation, perception, recording, control, and collaboration throughout the entire construction process, improving construction quality, shortening construction periods, saving resources and energy, and controlling construction costs, thereby achieving mass production on the construction site.

[0004] However, intelligent construction technology is highly complex and the industry technology is not yet fully mature. Currently, intelligent construction is at a relatively early stage, and there is no highly integrated and unified full-process integrated intelligent construction solution for design, construction, operation and maintenance. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligent construction method and system based on artificial intelligence and intelligent devices to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solution: an intelligent construction method based on artificial intelligence and intelligent equipment, comprising the following steps: S1: engineering information input, S2: construction scheme planning, S3: intelligent construction and collaborative operation, S4: real-time mapping of digital twins, S5: monitoring and optimization stage, and S6: intelligent construction performance evaluation;

[0007] S1: Engineering information input: The construction engineer completes the forward design of the 3D engineering model. After review and proofreading, it is input into the strong artificial intelligence central system. At the same time, the intelligent device information is input into the strong artificial intelligence central system.

[0008] S2: Construction Plan Planning: The strong artificial intelligence central system automatically identifies and decomposes the 3D engineering model, and in conjunction with the cloud computing processor, it deduces and calculates n construction plans. After the construction engineer selects the preferred plan, the strong artificial intelligence central system conducts in-depth calculations, detailed deployment, and arranges the daily progress of equipment and materials.

[0009] S3: Intelligent construction and collaborative work: Intelligent devices receive instructions from the strong artificial intelligence central system through 5G communication, work collaboratively according to the plan, and analyze to obtain the construction collaborative efficiency evaluation coefficient;

[0010] S4: Digital twin real-time mapping: During the construction process, digital twin technology is used to simultaneously build a virtual model consistent with the physical building on the virtual platform, map the construction progress in real time, and analyze and obtain the construction quality evaluation coefficient;

[0011] S5: Monitoring and Optimization Phase: After each day's construction is completed, the strong artificial intelligence central system performs machine learning based on the real-time collected construction data to optimize subsequent task arrangements and process parameters;

[0012] S6: Intelligent construction efficiency evaluation: Based on the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, the intelligent construction efficiency evaluation index is analyzed and evaluated, and the intelligent construction efficiency evaluation results are output.

[0013] Preferably, the execution method of the engineering information input is as follows:

[0014] The construction engineer uses building information modeling software to complete the forward design of the 3D engineering model. After the design is completed, it is reviewed by the project chief engineer and a team of professional engineers. After passing the review, the 3D model data is imported into the strong artificial intelligence central system through a dedicated API interface. At the same time, the smart device information is input into the strong artificial intelligence central system. The strong artificial intelligence central system consists of a cloud computing server and strong artificial intelligence.

[0015] The intelligent equipment includes production equipment, auxiliary equipment and logistics equipment.

[0016] Preferably, the execution method of the construction plan is as follows:

[0017] The strong artificial intelligence central system recognizes 3D engineering models, automatically analyzes and disassembles the models, and, in conjunction with cloud computing processors, intelligently analyzes project structure, process, and resource requirements, identifies key and difficult construction areas, and derives numerous construction plans.

[0018] Based on the deductive calculation results, construction engineers select the most suitable construction plan from the n construction plans, and the strong artificial intelligence central system conducts in-depth calculations, deploys task implementation steps, arranges production progress and material demand progress, and specifically arranges the work of each device every day.

[0019] Preferably, the specific content of the construction coordination efficiency evaluation coefficient obtained by the analysis is as follows:

[0020] S31: Calculate the collaborative work completion rate. The calculation formula is: Among them, Cr represents the collaborative work completion rate, Tc represents the number of collaborative work tasks completed, and Tp represents the total number of planned work tasks;

[0021] S32: Calculate the process synchronization deviation rate. The calculation formula is: Among them, Dr represents the process synchronization deviation rate, ta j Indicates the actual completion time of the jth process, Ts j Ts represents the time when the jth process is planned to be completed synchronously with other processes. a represents the average value of the planned synchronization time, m represents the total number of processes, j represents the number of each process, j = 1, 2, 3, ..., m;

[0022] S33: Calculate the construction coordination efficiency evaluation coefficient. The calculation formula is as follows:

[0023] Among them, EEC represents the construction coordination efficiency evaluation coefficient, Ar represents the task execution accuracy, and Ta represents the number of tasks completed accurately, Tr represents the total number of tasks received, and e represents a natural constant.

[0024] Preferably, the specific content of the construction quality evaluation coefficient obtained by the analysis is as follows:

[0025] S41: Calculate the construction compliance deviation using the following formula: Among them, Cdr represents the construction compliance deviation, s i represents the actual size of the i-th measurement part, s i ′ represents the design size corresponding to the i-th measurement part, Sa represents the average design size, n represents the total number of measurement parts, i represents the number of each measurement part, i = 1, 2, 3, ..., n, v p represents the actual verticality measurement value of the pth vertical member, v p′ represents the design verticality corresponding to the p-th vertical member, Va represents the average design verticality, k represents the total number of vertical members, p represents the number of each vertical member, p = 1, 2, 3, ..., k, α and β represent the weight coefficients of size deviation and verticality deviation respectively, and α + β = 1;

[0026] S42: Calculate the construction quality evaluation coefficient. The calculation formula is as follows:

[0027] Among them, QEC represents the construction quality evaluation coefficient, Cdr 预 represents the preset maximum construction conformity deviation, Qr represents the self-inspection pass rate, where Nq represents the number of items that pass the self-inspection, Nt represents the total number of items that pass the self-inspection, and e represents a natural constant.

[0028] Preferably, the execution method of the intelligent construction efficiency evaluation is as follows:

[0029] Read the construction coordination efficiency evaluation coefficient EEC and the construction quality evaluation coefficient QEC to calculate the intelligent construction efficiency evaluation index. The calculation formula is as follows:

[0030] EI = w1 × EEC + w2 × QEC, where EI represents the intelligent construction effectiveness evaluation index, w1 and w2 represent the weight coefficients of the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, respectively, and w1 + w2 = 1;

[0031] The intelligent construction efficiency is evaluated based on the intelligent construction efficiency evaluation index.

[0032] Preferably, the specific content of the evaluation of intelligent construction efficiency is: comparing the intelligent construction efficiency evaluation index with the preset intelligent construction efficiency evaluation index threshold; if the intelligent construction efficiency evaluation index is greater than the preset intelligent construction efficiency evaluation index threshold, then the intelligent construction efficiency status is judged to be normal; if the intelligent construction efficiency evaluation index is less than or equal to the preset intelligent construction efficiency evaluation index threshold, then the intelligent construction efficiency status is judged to be abnormal; the abnormal intelligent construction efficiency status data is marked as an intelligent construction efficiency evaluation result, and an early warning signal is issued.

[0033] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent construction system based on artificial intelligence and intelligent devices, implementing the above-mentioned intelligent construction method based on artificial intelligence and intelligent devices, comprising:

[0034] Engineering information input module: The forward design of the 3D engineering model is completed by the construction engineer. After verification and proofreading, it is input into the strong artificial intelligence central system. At the same time, the intelligent device information is input into the strong artificial intelligence central system.

[0035] Construction plan planning module: The strong artificial intelligence central system automatically identifies and decomposes the 3D engineering model, and combines it with the cloud computing processor to deduce and calculate multiple construction plans. After the construction engineer selects the optimal plan, the strong artificial intelligence central system conducts in-depth calculations, detailed deployment, and arranges the daily progress of equipment and materials.

[0036] Intelligent construction and collaborative operation module: Smart devices receive instructions from the strong artificial intelligence central system through 5G communication, work collaboratively according to the plan, and analyze to obtain the construction collaborative efficiency evaluation coefficient;

[0037] Digital twin real-time mapping module: This module uses digital twin technology to build a virtual model that is consistent with the physical building on a virtual platform during the construction process, mapping the construction progress in real time and analyzing it to obtain a construction quality evaluation coefficient.

[0038] Monitoring and Optimization Phase Module: After daily construction is completed, the strong artificial intelligence central system performs machine learning based on real-time collected construction data to optimize subsequent task arrangements and process parameters;

[0039] Intelligent construction efficiency evaluation module: Based on the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, the intelligent construction efficiency evaluation index is analyzed and evaluated, and the intelligent construction efficiency evaluation results are output.

[0040] As described above, the intelligent construction method and system based on artificial intelligence and intelligent devices provided by the present invention have at least the following beneficial effects:

[0041] This invention provides an intelligent construction method and system based on artificial intelligence and intelligent devices. Construction engineers input a three-dimensional engineering model and intelligent device information. A strong artificial intelligence central system automatically identifies and splits the model, deduces the construction plan, and refines the deployment. Intelligent devices receive instructions via 5G communication and work collaboratively to obtain a construction collaborative efficiency evaluation coefficient. A digital twin is used to map construction progress in real time to a construction quality evaluation coefficient. After daily construction, the central system optimizes tasks and parameters based on machine learning data. Finally, based on two types of coefficients, the intelligent construction effectiveness evaluation index is analyzed and output. This invention utilizes the strong artificial intelligence central system to automatically deduce and refine the construction plan, improving the scientific nature and efficiency of planning. Utilizing 5G communication, intelligent devices collaborate and introduce a construction collaborative efficiency evaluation coefficient to ensure efficient and coordinated construction. Digital twin technology is used to map construction progress in real time and obtain a construction quality evaluation coefficient, ensuring timely quality control. After daily construction, machine learning is performed based on data to dynamically optimize subsequent tasks and process parameters. An intelligent construction effectiveness evaluation is also conducted to ensure quality and effectiveness. From the perspective of production model, the rough model of traditional construction industry is changed, and refined and efficient production is achieved through the cooperation of artificial intelligence and other technologies with distributed computing of intelligent robots; in terms of construction model, unmanned 24-hour uninterrupted operation is realized to improve quality, shorten construction period, save resources and energy, and control construction cost; in terms of safety and environment, the safety, quality and environmental problems caused by mixed human and machine operations are avoided, and casualties are eliminated; in terms of cost control, there is no need to build temporary facilities, which saves a lot of costs and promotes the intelligent upgrade of the construction industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without inventive effort.

[0043] Figure 1 The figure is a flow chart of an intelligent construction method based on artificial intelligence and intelligent equipment according to the present invention.

[0044] Figure 2 This is a structural schematic diagram of an intelligent construction system based on artificial intelligence and intelligent equipment in the present invention. DETAILED DESCRIPTION

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0046] Example 1

[0047] See also Figure 1 As shown, the present invention provides an intelligent construction method based on artificial intelligence and intelligent equipment, comprising the following steps: S1: engineering information input, S2: construction plan planning, S3: intelligent construction and collaborative operation, S4: real-time mapping of digital twins, S5: monitoring and optimization stage, and S6: intelligent construction efficiency evaluation;

[0048] S1: Engineering information input: The construction engineer completes the forward design of the 3D engineering model. After review and proofreading, it is input into the strong artificial intelligence central system. At the same time, the intelligent device information is input into the strong artificial intelligence central system.

[0049] In this embodiment, it should be specifically explained that the execution method of the project information input is as follows:

[0050] Architectural engineers use building information modeling software (such as Autodesk Revit or Bentley Systems) to complete the forward design of a three-dimensional engineering model. The three-dimensional engineering model contains the detailed parameters and spatial relationships of all systems, including the building structure, mechanical and electrical systems, and water supply and drainage systems. After the design is completed, the project chief engineer and a team of professional engineers conduct multiple rounds of review to check the design rationality, structural safety, and compatibility of various systems. After passing the review, the three-dimensional model data is imported into the strong artificial intelligence central system through a dedicated API interface. At the same time, the smart device information is input into the strong artificial intelligence central system. The strong artificial intelligence central system consists of a cloud computing server and strong artificial intelligence.

[0051] The smart equipment includes production equipment, auxiliary equipment and logistics equipment; the smart equipment information includes but is not limited to the types and quantity of smart construction equipment, specifications and quantity of raw materials, supply chain information, engineering geological conditions and surrounding environment.

[0052] It should be specified that the smart device is weak artificial intelligence and has functions such as professional production, automatic driving, multi-radar fusion technology, 5G communication, and completion self-inspection;

[0053] The production equipment includes intelligent temporary construction enclosure erection robots, intelligent on-site concrete mixing plants, intelligent earthwork excavation robots, intelligent tamping robots, intelligent bricklaying robots, intelligent positioning and flow control pump trucks, intelligent steel bar processing robots, intelligent concrete vibrating robots, intelligent installation robots, etc.

[0054] The auxiliary equipment includes intelligent material transport robots, intelligent scaffolding erection robots, intelligent tower cranes, intelligent material hoists, intelligent testing robots, etc.

[0055] The logistics equipment includes environmental monitoring robots, inspection robots, maintenance robots, service robots, 5G base stations, etc.

[0056] S2: Construction Plan Planning: The strong artificial intelligence central system automatically identifies and decomposes the 3D engineering model, and in conjunction with the cloud computing processor, it deduces and calculates n construction plans. After the construction engineer selects the preferred plan, the strong artificial intelligence central system conducts in-depth calculations, detailed deployment, and arranges the daily progress of equipment and materials.

[0057] In this embodiment, it should be specifically explained that the execution method of the construction plan is as follows:

[0058] The strong artificial intelligence central system identifies 3D engineering models, automatically analyzes and disassembles them, and, in conjunction with cloud computing processors, intelligently analyzes project structure, processes, and resource requirements, locating construction difficulties (such as complex nodes and high-risk processes), and deriving and calculating numerous construction plans.

[0059] Based on the simulation results, construction engineers select the most suitable construction plan from the n construction plans. The strong artificial intelligence central system conducts in-depth calculations, deploys task implementation steps, and arranges production schedules and material demand schedules, down to the specific daily work arrangements for each piece of equipment.

[0060] The specific contents of the in-depth calculation by the strong artificial intelligence central system are as follows:

[0061] Formulate intelligent equipment demand plan: break down construction tasks into each process and each intelligent equipment;

[0062] Develop accurate production schedules, down to the daily work schedule for each piece of equipment;

[0063] Formulate and generate material demand plans, including but not limited to raw material procurement, equipment deployment, etc.

[0064] S3: Intelligent construction and collaborative work: Intelligent devices receive instructions from the strong artificial intelligence central system through 5G communication, work collaboratively according to the plan, and analyze to obtain the construction collaborative efficiency evaluation coefficient;

[0065] In this embodiment, it should be specifically explained that the execution method of the intelligent construction and collaborative operation is as follows:

[0066] Smart devices receive instructions from the strong artificial intelligence central system through 5G communication and work together according to the plan;

[0067] It should be specifically noted that, in a specific embodiment, if the operation process is the masonry work of a masonry structure, the operation is performed by an intelligent bricklaying robot, and the intelligent bricklaying robot determines the operation position according to the task instructions (including time requirements, workload requirements, quality requirements, etc.) issued by the strong artificial intelligence central system through 5G communication;

[0068] Intelligent material transport robots cooperate to transport masonry materials;

[0069] The bricklaying robot uses distributed computing to formulate and implement specific masonry plans. Specifically, it formulates and implements specific masonry plans based on its own chip calculations.

[0070] After the job is completed, it will automatically self-check and proceed to the next task if it passes the test;

[0071] When conflicts or difficult problems arise in construction nodes, intelligent devices report to the strong artificial intelligence central system in real time, and the strong artificial intelligence central system coordinates and dispatches or triggers the remote control mechanism (such as remote intervention by engineers through VR / MR / metaverse technology) to remotely control the machine to complete the task.

[0072] In this embodiment, it should be specifically explained that the specific content of the construction coordination efficiency evaluation coefficient obtained by the analysis is as follows:

[0073] S31: Calculate the collaborative work completion rate. The calculation formula is: Among them, Cr represents the collaborative work completion rate, Tc represents the number of collaborative work tasks completed, and Tp represents the total number of planned work tasks;

[0074] S32: Calculate the process synchronization deviation rate. The calculation formula is: Among them, Dr represents the process synchronization deviation rate, ta j Indicates the actual completion time of the jth process, Ts j Ts represents the time when the jth process is planned to be completed synchronously with other processes. a represents the average value of the planned synchronization time, m represents the total number of processes, j represents the number of each process, j = 1, 2, 3, ..., m;

[0075] S33: Calculate the construction coordination efficiency evaluation coefficient. The calculation formula is as follows:

[0076] Among them, EEC represents the construction coordination efficiency evaluation coefficient, Ar represents the task execution accuracy, and Ta represents the number of tasks completed accurately, Tr represents the total number of tasks received, and e represents a natural constant.

[0077] S4: Digital twin real-time mapping: During the construction process, digital twin technology is used to simultaneously build a virtual model consistent with the physical building on the virtual platform, map the construction progress in real time, and analyze and obtain the construction quality evaluation coefficient;

[0078] In this embodiment, it should be specifically explained that the execution method of the digital twin real-time mapping is as follows:

[0079] Digital twin technology is used during the construction process. While building a physical building, a completely identical virtual building is mapped and constructed in real time on the platform, truly showing the progress of construction. Construction engineers can browse and compare the two models in real time, compare the conformity of the design model and the constructed entity, and compare the planned value and actual value of the construction progress or project cost in real time.

[0080] In this embodiment, it should be specifically explained that the specific content of the construction quality evaluation coefficient obtained by the analysis is as follows:

[0081] S41: Calculate the construction compliance deviation using the following formula: Among them, Cdr represents the construction compliance deviation, s i represents the actual size of the i-th measurement part, s i ′ represents the design size corresponding to the i-th measurement part, Sa represents the average design size, n represents the total number of measurement parts, i represents the number of each measurement part, i = 1, 2, 3, ..., n, v p represents the actual verticality measurement value of the pth vertical member, v p ′ represents the design verticality corresponding to the p-th vertical member, Va represents the average design verticality, k represents the total number of vertical members, p represents the number of each vertical member, p = 1, 2, 3, ..., k, α and β represent the weight coefficients of size deviation and verticality deviation respectively, and α + β = 1;

[0082] S42: Calculate the construction quality evaluation coefficient. The calculation formula is as follows:

[0083] Among them, QEC represents the construction quality evaluation coefficient, Cdr 预 represents the preset maximum construction conformity deviation, Qr represents the self-inspection pass rate, where Nq represents the number of items that pass the self-inspection, Nt represents the total number of items that pass the self-inspection, and e represents a natural constant.

[0084] S5: Monitoring and Optimization Phase: After each day's construction is completed, the strong artificial intelligence central system performs machine learning based on the real-time collected construction data to optimize subsequent task arrangements and process parameters;

[0085] In this embodiment, it should be specifically explained that the execution method of the monitoring and optimization stage is as follows:

[0086] After the construction is completed each day, the strong artificial intelligence central system conducts machine learning based on the real-time collected construction data, optimizes the subsequent task arrangements and process parameters, and forms a closed loop of "execution-feedback-optimization". The construction data includes equipment operating status, quality inspection results, progress deviation, etc.

[0087] All data, including but not limited to design documents, construction instructions, equipment logs, and inspection reports, are stored in the cloud, supporting full-process traceability and providing complete digital assets for subsequent operations and maintenance.

[0088] S6: Intelligent construction efficiency evaluation: Based on the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, the intelligent construction efficiency evaluation index is analyzed and evaluated, and the intelligent construction efficiency evaluation results are output.

[0089] In this embodiment, it should be specifically explained that the execution method of the intelligent construction efficiency evaluation is as follows:

[0090] Read the construction coordination efficiency evaluation coefficient EEC and the construction quality evaluation coefficient QEC to calculate the intelligent construction efficiency evaluation index. The calculation formula is as follows:

[0091] EI = w1 × EEC + w2 × QEC, where EI represents the intelligent construction effectiveness evaluation index, w1 and w2 represent the weight coefficients of the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, respectively, and w1 + w2 = 1;

[0092] Evaluate the effectiveness of intelligent construction based on the intelligent construction effectiveness evaluation index;

[0093] It should be specifically explained that the specific content of the evaluation of intelligent construction efficiency is: comparing the intelligent construction efficiency evaluation index with the preset intelligent construction efficiency evaluation index threshold; if the intelligent construction efficiency evaluation index is greater than the preset intelligent construction efficiency evaluation index threshold, then the intelligent construction efficiency status is judged to be normal; if the intelligent construction efficiency evaluation index is less than or equal to the preset intelligent construction efficiency evaluation index threshold, then the intelligent construction efficiency status is judged to be abnormal; the abnormal intelligent construction efficiency status data is marked as the intelligent construction efficiency evaluation result, and an early warning signal is issued.

[0094] Example 2

[0095] See also Figure 2As shown, the present invention provides an intelligent construction system based on artificial intelligence and intelligent devices, including an engineering information input module, a construction scheme planning module, an intelligent construction and collaborative operation module, a digital twin real-time mapping module, a monitoring and optimization stage module, and an intelligent construction efficiency evaluation module;

[0096] Engineering information input module: The forward design of the 3D engineering model is completed by the construction engineer. After verification and proofreading, it is input into the strong artificial intelligence central system. At the same time, the intelligent device information is input into the strong artificial intelligence central system.

[0097] Construction plan planning module: The strong artificial intelligence central system automatically identifies and decomposes the 3D engineering model, and combines it with the cloud computing processor to deduce and calculate multiple construction plans. After the construction engineer selects the optimal plan, the strong artificial intelligence central system conducts in-depth calculations, detailed deployment, and arranges the daily progress of equipment and materials.

[0098] Intelligent construction and collaborative operation module: Smart devices receive instructions from the strong artificial intelligence central system through 5G communication, work collaboratively according to the plan, and analyze to obtain the construction collaborative efficiency evaluation coefficient;

[0099] Digital twin real-time mapping module: This module uses digital twin technology to build a virtual model that is consistent with the physical building on a virtual platform during the construction process, mapping the construction progress in real time and analyzing it to obtain a construction quality evaluation coefficient.

[0100] Monitoring and Optimization Phase Module: After daily construction is completed, the strong artificial intelligence central system performs machine learning based on real-time collected construction data to optimize subsequent task arrangements and process parameters;

[0101] Intelligent construction efficiency evaluation module: Based on the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, the intelligent construction efficiency evaluation index is analyzed and evaluated, and the intelligent construction efficiency evaluation results are output.

[0102] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0103] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. An intelligent construction method based on artificial intelligence and intelligent equipment, characterized in that: The following steps are involved: S1: Engineering information input: The construction engineer completes the forward design of the 3D engineering model. After review and proofreading, it is input into the strong artificial intelligence central system. At the same time, the intelligent device information is input into the strong artificial intelligence central system. S2: Construction Plan Planning: The strong artificial intelligence central system automatically identifies and decomposes the 3D engineering model, and in conjunction with the cloud computing processor, it deduces and calculates n construction plans. After the construction engineer selects the preferred plan, the strong artificial intelligence central system conducts in-depth calculations, detailed deployment, and arranges the daily progress of equipment and materials. S3: Intelligent construction and collaborative work: Intelligent devices receive instructions from the strong artificial intelligence central system through 5G communication, work collaboratively according to the plan, and analyze to obtain the construction collaborative efficiency evaluation coefficient; S4: Digital twin real-time mapping: During the construction process, digital twin technology is used to simultaneously build a virtual model consistent with the physical building on the virtual platform, map the construction progress in real time, and analyze and obtain the construction quality evaluation coefficient; S5: Monitoring and Optimization Phase: After each day's construction is completed, the strong artificial intelligence central system performs machine learning based on the real-time collected construction data to optimize subsequent task arrangements and process parameters; S6: Intelligent construction efficiency evaluation: Based on the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, the intelligent construction efficiency evaluation index is analyzed and evaluated, and the intelligent construction efficiency evaluation results are output.

2. The intelligent construction method based on artificial intelligence and intelligent equipment according to claim 1, characterized in that: The execution method of the engineering information input is as follows: The construction engineer uses building information modeling software to complete the forward design of the 3D engineering model. After the design is completed, it is reviewed by the project chief engineer and a team of professional engineers. After passing the review, the 3D model data is imported into the strong artificial intelligence central system through a dedicated API interface. At the same time, the smart device information is input into the strong artificial intelligence central system. The strong artificial intelligence central system consists of a cloud computing server and strong artificial intelligence. The intelligent equipment includes production equipment, auxiliary equipment and logistics equipment.

3. The intelligent construction method based on artificial intelligence and intelligent equipment according to claim 1, characterized in that: The implementation method of the construction plan is as follows: The strong artificial intelligence central system recognizes 3D engineering models, automatically analyzes and disassembles the models, and, in conjunction with cloud computing processors, intelligently analyzes project structure, process, and resource requirements, identifies key and difficult construction areas, and derives numerous construction plans. Based on the deductive calculation results, construction engineers select the most suitable construction plan from the n construction plans, and the strong artificial intelligence central system conducts in-depth calculations, deploys task implementation steps, arranges production progress and material demand progress, and specifically arranges the work of each device every day.

4. The intelligent construction method based on artificial intelligence and intelligent equipment according to claim 1, characterized in that: The specific content of the construction coordination efficiency evaluation coefficient obtained from the analysis is as follows: S31: Calculate the collaborative work completion rate. The calculation formula is: Among them, Cr represents the collaborative work completion rate, Tc represents the number of collaborative work tasks completed, and Tp represents the total number of planned work tasks; S32: Calculate the process synchronization deviation rate. The calculation formula is: Among them, Dr represents the process synchronization deviation rate, ta j Indicates the actual completion time of the jth process, Ts j Ts represents the time when the jth process is planned to be completed synchronously with other processes. a represents the average value of the planned synchronization time, m represents the total number of processes, j represents the number of each process, j = 1, 2, 3, ..., m; S33: Calculate the construction coordination efficiency evaluation coefficient. The calculation formula is as follows: Among them, EEC represents the construction coordination efficiency evaluation coefficient, Ar represents the task execution accuracy, and Ta represents the number of tasks completed accurately, Tr represents the total number of tasks received, and e represents a natural constant.

5. The intelligent construction method based on artificial intelligence and intelligent equipment according to claim 1, characterized in that: The specific contents of the construction quality evaluation coefficient obtained from the analysis are as follows: S41: Calculate the construction compliance deviation using the following formula: Among them, Cdr represents the construction compliance deviation, s i Indicates the actual size of the i-th measurement part, s i ′ represents the design size corresponding to the i-th measurement part, Sa represents the average design size, n represents the total number of measurement parts, i represents the number of each measurement part, i = 1, 2, 3, ..., n, v p represents the actual verticality measurement value of the pth vertical member, v p represents the design verticality corresponding to the p-th vertical member, Va represents the average design verticality, k represents the total number of vertical members, p represents the number of each vertical member, p = 1, 2, 3, ..., k, α and β represent the weight coefficients of size deviation and verticality deviation respectively, and α + β = 1; S42: Calculate the construction quality evaluation coefficient. The calculation formula is as follows: Among them, QEC represents the construction quality evaluation coefficient, Cdr 预 represents the preset maximum construction conformity deviation, Qr represents the self-inspection pass rate, where Nq represents the number of items that pass the self-inspection, Nt represents the total number of items that pass the self-inspection, and e represents a natural constant.

6. The intelligent construction method based on artificial intelligence and intelligent equipment according to claim 1, characterized in that: The implementation method of the intelligent construction effectiveness evaluation is as follows: Read the construction coordination efficiency evaluation coefficient EEC and the construction quality evaluation coefficient QEC to calculate the intelligent construction efficiency evaluation index. The calculation formula is as follows: EI = w1 × EEC + w2 × QEC, where EI represents the intelligent construction effectiveness evaluation index, w1 and w2 represent the weight coefficients of the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, respectively, and w1 + w2 = 1; The intelligent construction efficiency is evaluated based on the intelligent construction efficiency evaluation index.

7. The intelligent construction method based on artificial intelligence and intelligent equipment according to claim 6, characterized in that: The specific content of the evaluation of intelligent construction efficiency is: comparing the intelligent construction efficiency evaluation index with the preset intelligent construction efficiency evaluation index threshold; if the intelligent construction efficiency evaluation index is greater than the preset intelligent construction efficiency evaluation index threshold, then the intelligent construction efficiency status is judged to be normal; if the intelligent construction efficiency evaluation index is less than or equal to the preset intelligent construction efficiency evaluation index threshold, then the intelligent construction efficiency status is judged to be abnormal; the abnormal intelligent construction efficiency status data is marked as the intelligent construction efficiency evaluation result, and an early warning signal is issued.

8. An intelligent construction system based on artificial intelligence and intelligent devices, used to implement the intelligent construction method based on artificial intelligence and intelligent devices as described in any one of claims 1 to 7, characterized in that: include: Engineering information input module: The forward design of the 3D engineering model is completed by the construction engineer. After verification and proofreading, it is input into the strong artificial intelligence central system. At the same time, the intelligent device information is input into the strong artificial intelligence central system. Construction plan planning module: The strong artificial intelligence central system automatically identifies and decomposes the 3D engineering model, and combines it with the cloud computing processor to deduce and calculate multiple construction plans. After the construction engineer selects the optimal plan, the strong artificial intelligence central system conducts in-depth calculations, detailed deployment, and arranges the daily progress of equipment and materials. Intelligent construction and collaborative operation module: Smart devices receive instructions from the strong artificial intelligence central system through 5G communication, work collaboratively according to the plan, and analyze to obtain the construction collaborative efficiency evaluation coefficient; Digital twin real-time mapping module: This module uses digital twin technology to build a virtual model that is consistent with the physical building on a virtual platform during the construction process, mapping the construction progress in real time and analyzing it to obtain a construction quality evaluation coefficient. Monitoring and Optimization Phase Module: After daily construction is completed, the strong artificial intelligence central system performs machine learning based on real-time collected construction data to optimize subsequent task arrangements and process parameters; Intelligent construction efficiency evaluation module: Based on the construction coordination efficiency evaluation coefficient and the construction quality evaluation coefficient, the intelligent construction efficiency evaluation index is analyzed and evaluated, and the intelligent construction efficiency evaluation results are output.

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