Intelligent fabricated building construction method

Abstract

The invention discloses an intelligent fabricated building construction method, and particularly relates to the technical field of building engineering, and the method comprises the steps: S1, storing and updating fabricated building construction information in real time through a big data technology, the method comprises the following steps: S1, constructing an assembly type building construction information database, S2, collecting data generated in the assembly type building construction process through existing data collection equipment, S3, monitoring and analyzing the data collected in the S2 to obtain an assembly type building construction analysis result, S4, comparing the assembly type building construction analysis result obtained in the S3 with a threshold value respectively, and if yes, judging whether the assembly type building construction information database is abnormal or not, and if yes, judging whether the assembly type building construction information database is abnormal or not. According to an abnormal comparison result, sending out an early warning signal and triggering a corresponding management mechanism; S5, carrying out man-machine interaction based on the early warning signal sent in S4 and the corresponding management mechanism; according to the invention, precise management of the construction process of each prefabricated part of the fabricated building is realized, and the construction state tracking efficiency and the quality monitoring efficiency of the prefabricated parts of the fabricated building are improved.

Description

Technical Field

[0001] The invention relates to the technical field of building engineering, and in particular to an intelligent prefabricated building construction method. Background Art

[0002] Prefabricated construction is a new type of construction method in which building components are prefabricated in factories and then transported to the site for assembly. It has the advantages of fast construction speed, low environmental pollution, and controllable quality. It is being used more and more widely in various construction projects.

[0003] In the field of construction engineering technology, traditional construction progress management mainly relies on manual records and experience judgment, which makes it difficult to grasp the progress of each construction link in real time and accurately. In prefabricated building construction, it involves the production, transportation and installation of many prefabricated components. Manual management methods are prone to delays. For example, if prefabricated components fail to arrive at the construction site on time or the installation sequence is unreasonable, it will affect the overall construction progress.

[0004] Prefabricated buildings rely on the precise installation of prefabricated components. However, in actual construction, the accuracy of component installation is difficult to ensure due to factors such as production errors of prefabricated components and measurement deviations at the construction site. Prefabricated building construction involves multiple links such as design, production, transportation and construction. Information flow between links is not smooth, and collaborative work efficiency is low. The identification of prefabricated buildings at the construction site is unclear, making it difficult to quickly locate the required prefabricated buildings, which increases the time for searching and transporting. At the same time, due to the lack of real-time monitoring, the status and location of prefabricated buildings cannot be grasped in time, and they are prone to loss, affecting the construction progress. In addition, some quality problems are not discovered until the later stages of construction, with high rectification costs, and may even affect the overall safety of the structure. 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 prefabricated building construction method to solve the problems of difficult construction coordination and insufficient quality control raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: an intelligent prefabricated building construction method, comprising: S1: Use big data technology to store and update prefabricated building construction information in real time, and classify prefabricated building construction information according to prefabricated component design information, prefabricated component production information, prefabricated component transportation information, and prefabricated component on-site assembly information to build a prefabricated building construction information database; S2: Collect the data generated during the construction of the prefabricated building through the existing data collection equipment to obtain the prefabricated building construction tracking data and prefabricated building construction quality data; S3: Monitor and analyze the data collected in S2 to obtain the analysis results of prefabricated building construction, the analysis results include prefabricated building construction tracking indicators and prefabricated building construction quality indicators, the prefabricated building construction tracking indicators include prefabricated component construction process status accuracy tracking indicators and prefabricated component construction transportation efficiency tracking indicators, the prefabricated building construction quality indicators include prefabricated component production size accuracy qualified rate indicators, prefabricated component production welding quality indicators, prefabricated component assembly accuracy indicators and prefabricated building prefabricated component assembly connection quality indicators; S4: Compare the prefabricated building construction analysis results obtained in S3 with the thresholds respectively, and issue a warning signal and trigger a corresponding management mechanism according to the abnormal comparison results, wherein the comparison results include the prefabricated building prefabricated component construction tracking comparison results and the prefabricated building prefabricated component construction quality comparison results; S5: Human-computer interaction based on the early warning signal issued by S4 and the corresponding management mechanism.

[0007] Technical effects and advantages of the present invention: 1. The present invention can collect various data in the construction process of prefabricated components of prefabricated buildings in real time by deploying data acquisition equipment, such as prefabricated size, assembly position, connection quality, etc. These data are the basis for analyzing assembly management; through the collection of real-time data, the accuracy and timeliness of the analysis results of prefabricated building construction can be ensured, providing a scientific basis for management decisions; 2. The present invention realizes accurate management of the construction process of each prefabricated component by generating a unique identifier for each prefabricated component of the prefabricated building. Each step from production to assembly can be traced, so that managers can make decisions and adjustments in a timely manner, improve the efficiency of tracking the construction status and quality monitoring of prefabricated components of prefabricated buildings, and reduce the risk of damage and loss of prefabricated components; 3. The present invention monitors the construction process of prefabricated components of assembled buildings to achieve real-time and comprehensive construction status monitoring and analysis and quality monitoring and analysis of the entire prefabrication production and assembly process, provide data support for the construction process of prefabricated components of assembled buildings, timely discover and solve quality problems, and effectively ensure the overall quality and safety of the assembled building construction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of the overall process of the present invention.

[0009] Figure 2 It is a schematic diagram of the method flow of the present invention.

[0010] Figure 3 It is a flowchart of the method of the present invention. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0012] See also Figure 1 As shown, the present invention provides an intelligent prefabricated building construction system, including a prefabricated building construction information database, a prefabricated building construction data acquisition module, a prefabricated building construction monitoring module, a prefabricated building construction early warning module and a prefabricated building construction human-computer interaction module.

[0013] The prefabricated building construction information database is connected to the remaining modules, the prefabricated building construction data acquisition module is connected to the prefabricated building construction monitoring module, and the prefabricated building construction early warning module is respectively connected to the prefabricated building construction monitoring module and the prefabricated building construction human-computer interaction module.

[0014] Prefabricated building construction information database: through big data technology, prefabricated building construction information is stored and updated in real time, and prefabricated building construction information is classified according to prefabricated component design information, prefabricated component production information, prefabricated component transportation information and prefabricated component on-site assembly information to build a prefabricated building construction information database; Prefabricated building construction data acquisition module: collects data generated during the prefabricated construction process through existing data acquisition equipment, and transmits the collected data to the prefabricated building construction monitoring module; Prefabricated building construction monitoring module: used to monitor and analyze the collected data, and transmit the analysis results to the prefabricated building construction early warning module; Prefabricated building construction early warning module: used to compare the analysis results obtained by the prefabricated building construction monitoring module with the threshold value, issue early warning signals and trigger corresponding management mechanisms according to abnormal comparison results, and transmit the early warning signals and management mechanisms to the prefabricated building construction human-computer interaction module; Prefabricated building construction human-computer interaction module: used to receive the warning signal issued by the prefabricated building construction warning module and the corresponding management mechanism for human-computer interaction.

[0015] See also Figure 2-3As shown, an intelligent prefabricated building construction method includes the following steps: S1: using big data technology to store and update prefabricated building construction information in real time, and classify the prefabricated building construction information according to prefabricated component design information, prefabricated component production information, prefabricated component transportation information and prefabricated component on-site assembly information, and build a prefabricated building construction information database; S2: using existing data acquisition equipment to collect data generated during the prefabricated building construction process, and obtain prefabricated building construction tracking data and prefabricated building construction quality data respectively; S3: based on the data collected by S2, monitoring and analysis are performed to obtain prefabricated building construction analysis results, and the analysis results include prefabricated building construction tracking indicators and prefabricated building construction quality indicators; S4: comparing the prefabricated building construction analysis results obtained by S3 with thresholds respectively, and issuing warning signals and triggering corresponding management mechanisms according to abnormal comparison results; S5: performing human-computer interaction based on the warning signals issued by S4 and the corresponding management mechanisms.

[0016] S1: Use big data technology to store and update prefabricated building construction information in real time, and classify prefabricated building construction information according to prefabricated component design information, prefabricated component production information, prefabricated component transportation information, and prefabricated component on-site assembly information to build a prefabricated building construction information database; It should be specifically explained in this embodiment that prefabricated building refers to a construction method in which the main components of a building are processed into multiple prefabricated components in a factory, and then the multiple prefabricated components are transported to the construction site for assembly. Through standardized design, factory production and mechanized assembly, the industrialization and modernization of construction are realized; prefabricated components refer to building components pre-fabricated in a factory or prefabrication site, including wall panels, floor slabs, beams, columns, stairs, etc. After these components are produced in the factory, they are transported to the assembly site for assembly to form a prefabricated building.

[0017] What needs to be specifically explained in this embodiment is that the prefabricated component design information refers to the overall design plan of the prefabricated building uploaded by the design unit, including the prefabricated component three-dimensional model, prefabricated component size specifications, prefabricated component connection method, etc.; the prefabricated component production information refers to the prefabricated building manufacturer entering the construction production status, raw material information, production quality inspection report, etc. according to the design information; the prefabricated component transportation information refers to the transportation company updating the construction and transportation status through the platform, including transportation status, transportation route, estimated arrival time, actual arrival time, etc.; the prefabricated component on-site assembly information refers to the assembly unit uploading the on-site installation status, problem feedback, installation quality inspection data, etc. All kinds of information are transmitted through a secure and encrypted network channel to ensure information security.

[0018] S2: The data generated during the construction of the prefabricated building is collected through the existing data collection equipment to obtain the prefabricated building construction tracking data and prefabricated building construction quality data. The data collection includes the following steps: S2.1: Collecting prefabricated building construction tracking data: First, generate a unique identifier (such as a QR code, RFID tag, etc.) for each prefabricated component of the prefabricated building, and obtain the target prefabricated building prefabricated component construction identification dataset ISD, ISD = [IS1, IS2, ... IS i ...IS n ], IS i represents the i-th prefabricated component identification, and n represents the number of prefabricated components. Then, based on the prefabricated building construction information database, the construction process of prefabricated building prefabricated components is classified and tracked according to the prefabricated component production link, prefabricated component transportation link and prefabricated component on-site assembly link. Finally, by setting identification reading and writing equipment in each link, the construction status of each link is tracked, and the prefabricated component construction status dataset ASD of each link of prefabricated building is obtained, ASD=[AS1,AS2,...AS j ...AS k ], A.S. j represents the jth construction state, k represents the number of construction state types, for example, the prefabricated component production link includes the start of production construction state, the production in progress construction state, the production completion construction state, etc., the prefabricated component transportation link includes the start of transportation construction state, the transportation in progress construction state, the transportation completion construction state, etc., and the prefabricated component on-site assembly link includes the start of assembly construction state, the assembly in progress construction state, the assembly completion construction state, etc.; What needs to be specifically explained in this embodiment is that the identification contains basic information of the prefabricated component (such as the prefabricated component group, model, weight, size, etc.); production information (such as production date, production batch, manufacturer, etc.); transportation information (such as vehicle information, transportation route, estimated arrival time, etc.); quality information (such as inspection results, certificate number, etc.).

[0019] S2.2: Collecting data on the quality of prefabricated building construction: S2.2.1: First, deploy dimension measurement equipment (such as laser rangefinder) in the production process of prefabricated components of prefabricated buildings to collect the dimension data of prefabricated components, including length, width, height and diagonal dimensions; then deploy weld inspection equipment to collect weld data of prefabricated components, including the number of defects, weld penetration and weld surface flatness; S2.2.2: First, deploy positioning measurement equipment (such as GPS or total station) in the on-site assembly of prefabricated components of prefabricated buildings to collect coordinate data of the on-site assembly installation position of prefabricated components, including X-axis coordinates, Y-axis coordinates, and Z-axis coordinates; then deploy stress sensors to collect stress at the on-site assembly connection nodes of prefabricated components; finally, deploy gap measurement tools (such as feeler gauges, laser rangefinders, etc.) to collect the gap distance between the connection plates; S3: Based on the data collected in S2, monitoring and analysis are performed to obtain the analysis results of the prefabricated building construction, the analysis results include prefabricated building construction tracking indicators and prefabricated building construction quality indicators, the prefabricated building construction tracking indicators include prefabricated component construction process status accuracy tracking indicators and prefabricated component construction transportation efficiency tracking indicators, the prefabricated building construction quality indicators include prefabricated component production size accuracy qualified rate indicators, prefabricated component production welding quality indicators, prefabricated component assembly accuracy indicators and prefabricated building prefabricated component assembly connection quality indicators, and the monitoring and analysis includes the following steps: S3.1: Obtain prefabricated building construction tracking indicators; S3.1.1: First, the tracking result S of the construction status of each link of the i-th prefabricated component of the prefabricated building is obtained through the set identification reading and writing equipment. j and the number of traces N j The tracking results include tracking success as 1 and tracking failure as 0, and the tracking index MTAI of the state accuracy rate of the i-th prefabricated component construction process is obtained. , k represents the number of types of construction status in each link, λ j Represents the tracking weight of the jth construction state (dynamically adjusted according to the type of prefabricated components of assembled buildings), for example, the production construction state λj=0.3, the construction state in production λj=0.5, the production completion construction state λj=0.2, l=1 represents the prefabricated component production link, l=2 represents the prefabricated component transportation link and l=3 represents the prefabricated component on-site assembly link; S3.1.2: Then, the actual transportation time t of the i-th prefabricated building component is obtained through the identification reading and writing equipment set up in the transportation link of the prefabricated building component. The actual transportation time is subtracted from the expected transportation time. If the difference is ≤0, the difference = 0, that is, |t-t0|=0. Otherwise, the difference is obtained, and the i-th prefabricated component construction transportation efficiency tracking index TETI is obtained. , t0 represents the expected transportation time, Δt represents the allowable time deviation; S3.2: Get the quality index of prefabricated building construction: S3.2.1: First, in the production process of prefabricated building components, the actual size of the i-th prefabricated building component is obtained by using a dimension measuring device (such as a laser rangefinder), and compared with the design size to obtain the dimension deviation Δd and the corresponding allowable dimension deviation range (Δd)0. The dimension deviation Δd includes the length deviation d1, the width deviation d2, the height deviation d3 and the diagonal dimension deviation d4. The corresponding allowable dimension deviation range (Δd)0 is [(d1)0, (d2)0, (d3)0, (d4)0]. The i-th prefabricated component production dimension accuracy qualified rate index DAQR is obtained. ,Right now ; Then, the weld of the i-th prefabricated building component is inspected by the weld inspection equipment, and the number of weld defects n_w, weld penetration h_w (too large or too small penetration will affect the welding quality) and weld surface flatness e_w are counted. Weld defects include cracks, pores, etc., and the production welding quality index WQI of the i-th prefabricated component is obtained. , (n_w)0 represents the number of allowable weld defects, (h_w)0 represents the allowable weld penetration, and (e_w)0 represents the standard value of weld surface flatness; S3.2.2: First, in the on-site assembly of prefabricated components of prefabricated buildings, the actual coordinates of the on-site assembly position of the i-th prefabricated component of the prefabricated building are obtained by positioning and measuring equipment (such as GPS or total station), and compared with the design coordinates to obtain the coordinate deviation Δp. The coordinate deviation Δp includes the x-axis deviation p1, the y-axis deviation p2 and the z-axis deviation p3. The allowable deviation ranges corresponding to the x-axis deviation p1, the y-axis deviation p2 and the z-axis deviation p3 are [(p1)0, (p2)0, (p3)0] respectively. Then, the assembly accuracy index AIAI of the i-th prefabricated component is obtained. ; Then, a sensor is used, which is a stress sensor installed at the on-site assembly connection node of the prefabricated building components, to measure the stress f at multiple points, obtain the average value μ(f) and standard deviation σ(f) of the connection node stress, and obtain the connection node stress uniformity coefficient suc, suc=μ(f) / σ(f); secondly, a gap measurement tool is used to obtain the gap distance d_g between the connection plates; finally, the prefabricated building component assembly connection quality index CQI is obtained based on the connection node stress uniformity coefficient and the gap distance between the connection plates, , (d_g)0 represents the allowable gap distance; S4: Compare the prefabricated building construction analysis results obtained in S3 with the thresholds respectively, issue a warning signal and trigger a corresponding management mechanism according to the abnormal comparison results, the comparison results include the prefabricated building prefabricated component construction tracking comparison results and the prefabricated building prefabricated component construction quality comparison results, and the comparison includes the following steps: S4.1: Obtain the comparison results of construction tracking of prefabricated components of prefabricated buildings: first, compare the tracking index MTAI of the construction process status accuracy of the i-th prefabricated component with the threshold MTAI0. If MTAI < MTAI0, it means that the construction status tracking of the i-th prefabricated component is abnormal, and a warning signal of abnormal construction status tracking is issued and a construction status tracking management mechanism is triggered. The prefabricated building prefabricated components with abnormal construction status tracking are managed through a unique identifier, such as checking whether the identifier is damaged, whether the reading and writing equipment is faulty, etc. Otherwise, it is normal; then compare the construction transportation efficiency tracking index TETI of the i-th prefabricated component with the threshold TETI0. If TETI < TETI0, it means that the construction transportation efficiency tracking of the i-th prefabricated component is abnormal, and a warning signal of abnormal construction transportation efficiency tracking is issued and a construction transportation efficiency tracking management mechanism is triggered. The prefabricated building prefabricated components with abnormal transportation efficiency are managed through a unique identifier, such as checking whether the vehicle is faulty and whether the route planning is reasonable. Otherwise, it is normal; S4.2: Obtain the construction quality comparison results of prefabricated components of prefabricated buildings: S4.2.1: First, the dimensional accuracy qualification rate index DAQR of the i-th prefabricated component is compared with the threshold DAQR0. If DAQR<DAQR0, it means that the dimensional accuracy of the i-th prefabricated component is abnormal, and an abnormal warning signal of production dimensional accuracy is issued and a production dimensional accuracy management mechanism is triggered. The prefabricated components of prefabricated buildings with abnormal production dimensions are managed through unique identification, such as checking whether the production process parameters are set incorrectly and whether the raw material dimensions meet the requirements. Otherwise, it is normal. Then, the production welding quality index WQI of the i-th prefabricated component is compared with the threshold WQI0. If WQI<WQI0, it means that the production welding quality of the i-th prefabricated component is abnormal, and an abnormal warning signal of production welding quality is issued and a production welding quality management mechanism is triggered. The prefabricated components of prefabricated buildings with abnormal welding quality are managed through unique identification, such as checking welding equipment parameters and checking whether welding materials meet the requirements. Otherwise, it is normal. S4.2.2; First, compare the assembly accuracy index AIAI of the ith prefabricated component with the threshold AIAI0. If AIAI<AIAI0, it means that the assembly accuracy of the ith prefabricated component is abnormal, and an abnormal assembly accuracy warning signal is issued and the assembly accuracy management mechanism is triggered. The prefabricated components of the prefabricated building with abnormal assembly accuracy are managed through a unique identifier, such as adjusting or replacing prefabricated components with large deviations. Otherwise, it is normal. Then compare the assembly connection quality index CQI of the prefabricated building with the threshold CQI0. If CQI<CQI0, it means that the assembly connection quality of the prefabricated components of the prefabricated building is abnormal. An abnormal assembly connection quality warning signal is issued and the assembly connection quality management mechanism is triggered. The prefabricated components of the prefabricated building with abnormal assembly connection quality are managed through a unique identifier, such as redesigning the connection nodes to ensure a reasonable structure. Otherwise, it is normal. S5: Human-computer interaction is carried out based on the warning signal issued by S4 and the corresponding management mechanism. The management mechanism includes the identification of prefabricated components of prefabricated buildings, abnormal results and corresponding management measures. For example, during the construction of the i-th prefabricated component of the prefabricated building, the system detects that the transportation efficiency tracking indicator TETI=0.75 is lower than the threshold TETI0=0.80. The system issues a warning signal for abnormal transportation efficiency tracking and locates the prefabricated component numbered M-456 involved in the abnormal transportation task; the reason for the abnormality is that the inspection found that the transportation route of prefabricated component M-456 was delayed due to traffic congestion; the management measure is that the system adjusts the transportation route in real time to avoid congested sections, and the transportation vehicles drive along the new route and finally arrive at the assembly site on time; management result: the system recalculates TETI, and the result is 0.82, which is higher than the threshold TETI0, and the transportation efficiency returns to normal.

[0020] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be It is included in the protection scope of the present invention.

Claims

1. An intelligent prefabricated building construction method, characterized in that: include: S1: Use big data technology to store and update prefabricated building construction information in real time, and classify prefabricated building construction information according to prefabricated component design information, prefabricated component production information, prefabricated component transportation information, and prefabricated component on-site assembly information to build a prefabricated building construction information database; S2: Collect the data generated during the construction of the prefabricated building through the existing data collection equipment to obtain the prefabricated building construction tracking data and prefabricated building construction quality data; S3: Monitor and analyze the data collected in S2 to obtain the analysis results of prefabricated building construction, the analysis results include prefabricated building construction tracking indicators and prefabricated building construction quality indicators, the prefabricated building construction tracking indicators include prefabricated component construction process status accuracy tracking indicators and prefabricated component construction transportation efficiency tracking indicators, the prefabricated building construction quality indicators include prefabricated component production size accuracy qualified rate indicators, prefabricated component production welding quality indicators, prefabricated component assembly accuracy indicators and prefabricated building prefabricated component assembly connection quality indicators; S4: Compare the prefabricated building construction analysis results obtained in S3 with the thresholds respectively, and issue a warning signal and trigger a corresponding management mechanism according to the abnormal comparison results, wherein the comparison results include the prefabricated building prefabricated component construction tracking comparison results and the prefabricated building prefabricated component construction quality comparison results; S5: Human-computer interaction based on the early warning signal issued by S4 and the corresponding management mechanism.

2. An intelligent prefabricated building construction method according to claim 1, characterized in that: In the S2, the prefabricated building construction tracking data is collected: first, a unique identification is generated for each prefabricated component of the prefabricated building, and a target prefabricated building prefabricated component construction identification dataset ISD is obtained, where ISD=[IS1,IS2,...IS i ...IS n ], IS i represents the i-th prefabricated component identification, and n represents the number of prefabricated components. Then, based on the prefabricated building construction information database, the construction process of prefabricated building prefabricated components is classified and tracked according to the prefabricated component production link, prefabricated component transportation link and prefabricated component on-site assembly link. Finally, by setting identification reading and writing equipment in each link, the construction status of each link is tracked, and the prefabricated component construction status dataset ASD of each link of prefabricated building is obtained, ASD=[AS1,AS2,...AS j ...AS k ], A.S. j represents the jth construction state, and k represents the number of construction state types.

3. According to claim 1, an intelligent prefabricated building construction method is characterized in that: The S2 collects the construction quality data of prefabricated buildings: A1: First, deploy dimension measuring equipment in the production process of prefabricated components of prefabricated buildings to collect dimension data of prefabricated components; then deploy weld detection equipment to collect weld data of prefabricated components; A2: First, deploy positioning and measuring equipment in the on-site assembly of prefabricated components of prefabricated buildings to collect coordinate data of the on-site assembly positions of prefabricated components; then deploy stress sensors to collect stress at the on-site assembly connection nodes of prefabricated components; Finally, deploy the gap measurement tool to collect the gap distance between the connecting plates.

4. The intelligent prefabricated building construction method according to claim 1, characterized in that: The tracking index of prefabricated building construction is obtained in S3: B1: First, the number of types, tracking results and tracking times of the construction status of each link of the i-th prefabricated component of the prefabricated building are obtained through the set identification reading and writing equipment, and the MTAI of the construction process status accuracy of the i-th prefabricated component is obtained; B2: Then, the actual transportation time t of the i-th prefabricated building component is obtained through the identification reading and writing equipment set up in the transportation link of the prefabricated building components. The actual transportation time is subtracted from the expected transportation time. If the difference is ≤0, the difference = 0, otherwise it is the difference, and the i-th prefabricated component construction transportation efficiency tracking index TETI is obtained.

5. The intelligent prefabricated building construction method according to claim 1, characterized in that: The method of obtaining the construction quality index of the prefabricated building in S3 includes: firstly, in the production link of the prefabricated building components, obtaining the actual size of the i-th prefabricated building components by using the dimension measuring equipment, and comparing it with the design size, obtaining the dimension deviation Δd and the corresponding allowable dimension deviation range (Δd)0, and obtaining the i-th prefabricated component production dimension accuracy qualified rate index DAQR, ; Then, the weld of the i-th prefabricated building component is inspected by the weld inspection equipment, and the number of weld defects n_w, weld penetration h_w and weld surface flatness e_w are counted to obtain the production welding quality index WQI of the i-th prefabricated component. , (n_w)0 represents the number of allowable weld defects, (h_w)0 represents the allowable weld penetration, and (e_w)0 represents the standard value of weld surface flatness.

6. The intelligent prefabricated building construction method according to claim 1, characterized in that: The method of obtaining the construction quality index of the prefabricated building in S3 also includes: first, in the on-site assembly link of the prefabricated components of the prefabricated building, the actual coordinates of the on-site assembly position of the i-th prefabricated component of the prefabricated building are obtained by positioning and measuring equipment, and compared with the design coordinates to obtain the coordinate deviation Δp, and then the assembly accuracy index AIAI of the i-th prefabricated component is obtained; then, the stress of multiple points is measured by sensors to obtain the stress uniformity coefficient of the connection node; secondly, the gap distance between the connection plates is obtained by a gap measurement tool; finally, the assembly connection quality index CQI of the prefabricated components of the prefabricated building is obtained according to the stress uniformity coefficient of the connection node and the gap distance between the connection plates.

7. The intelligent prefabricated building construction method according to claim 1 is characterized in that: The comparison result of construction tracking of prefabricated components of prefabricated buildings is obtained in S4: first, the tracking index MTAI of the construction process status accuracy of the i-th prefabricated component is compared with the threshold MTAI0. If MTAI<MTAI0, it means that the construction status tracking of the i-th prefabricated component is abnormal, and a warning signal of abnormal construction status tracking is issued and the construction status tracking management mechanism is triggered. The prefabricated components of the prefabricated building with abnormal construction status tracking are managed through a unique identifier, otherwise it is normal; then the construction transportation efficiency tracking index TETI of the i-th prefabricated component is compared with the threshold TETI0. If TETI<TETI0, it means that the construction transportation efficiency tracking of the i-th prefabricated component is abnormal, and a warning signal of abnormal construction transportation efficiency tracking is issued and the construction transportation efficiency tracking management mechanism is triggered. The prefabricated components of the prefabricated building with abnormal transportation efficiency are managed through a unique identifier, otherwise it is normal.

8. The intelligent prefabricated building construction method according to claim 1, characterized in that: The construction quality comparison result of prefabricated components of assembled buildings is obtained in S4: C1: First, the dimensional accuracy qualification rate index DAQR of the i-th prefabricated component is compared with the threshold DAQR0. If DAQR<DAQR0, it means that the dimensional accuracy of the i-th prefabricated component is abnormal, and an abnormal warning signal of the dimensional accuracy is issued and the production dimensional accuracy management mechanism is triggered. The prefabricated components of the prefabricated building with abnormal production dimensions are managed through a unique identifier, otherwise it is normal; then the production welding quality index WQI of the i-th prefabricated component is compared with the threshold WQI0. If WQI<WQI0, it means that the production welding quality of the i-th prefabricated component is abnormal, and an abnormal warning signal of the production welding quality is issued and the production welding quality management mechanism is triggered. The prefabricated components of the prefabricated building with abnormal welding quality are managed through a unique identifier, otherwise it is normal; C2: First, compare the assembly accuracy index AIAI of the i-th prefabricated component with the threshold AIAI0. If AIAI<AIAI0, it means that the assembly accuracy of the i-th prefabricated component is abnormal, and an abnormal assembly accuracy warning signal is issued and the assembly accuracy management mechanism is triggered. The prefabricated components of the prefabricated building with abnormal assembly accuracy are managed through a unique identifier, otherwise it is normal; Then the assembly connection quality index CQI of prefabricated components of prefabricated buildings is compared with the threshold CQI0. If CQI < CQI0, it means that the assembly connection quality of prefabricated components of prefabricated buildings is abnormal, and an abnormal assembly connection quality warning signal is issued and the assembly connection quality management mechanism is triggered. The prefabricated components of prefabricated buildings with abnormal assembly connection quality are managed through a unique identifier, otherwise it is normal.

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