CN115045515B - Assembly type building construction quality control method based on BIM technology - Google Patents
Assembly type building construction quality control method based on BIM technology Download PDFInfo
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- CN115045515B CN115045515B CN202210723841.XA CN202210723841A CN115045515B CN 115045515 B CN115045515 B CN 115045515B CN 202210723841 A CN202210723841 A CN 202210723841A CN 115045515 B CN115045515 B CN 115045515B
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- E—FIXED CONSTRUCTIONS
- E04—BUILDING
- E04G—SCAFFOLDING; FORMS; SHUTTERING; BUILDING IMPLEMENTS OR AIDS, OR THEIR USE; HANDLING BUILDING MATERIALS ON THE SITE; REPAIRING, BREAKING-UP OR OTHER WORK ON EXISTING BUILDINGS
- E04G21/00—Preparing, conveying, or working-up building materials or building elements in situ; Other devices or measures for constructional work
- E04G21/14—Conveying or assembling building elements
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- E—FIXED CONSTRUCTIONS
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- E04G—SCAFFOLDING; FORMS; SHUTTERING; BUILDING IMPLEMENTS OR AIDS, OR THEIR USE; HANDLING BUILDING MATERIALS ON THE SITE; REPAIRING, BREAKING-UP OR OTHER WORK ON EXISTING BUILDINGS
- E04G21/00—Preparing, conveying, or working-up building materials or building elements in situ; Other devices or measures for constructional work
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Abstract
The invention discloses a BIM technology-based construction quality control method for an assembly type building, which comprises the following steps of S1, constructing a BIM model of the assembly type building; s2, arranging a wireless sensor monitoring system in the assembly type building; s3, acquiring monitoring parameters of the installation quality of the prefabricated part through a wireless sensor monitoring system; s4, inputting the monitoring parameters into a BIM model for displaying, and judging whether the monitoring parameters are abnormal or not; and S5, controlling the installation quality of the prefabricated part with abnormal monitoring parameters in the BIM. According to the method, the monitoring parameters of the installation quality of the prefabricated parts are acquired by setting the wireless sensor monitoring system, compared with a mode of acquiring the monitoring parameters periodically manually, the efficiency of acquiring the monitoring parameters is higher, the acquiring frequency is higher, enough monitoring parameters can be acquired to judge the installation quality of the prefabricated parts, and misjudgment of the installation quality of the prefabricated parts due to the fact that the acquired quantity is too small is avoided. The method is favorable for finding the quality problem existing in the installation and construction of the prefabricated part in time.
Description
Technical Field
The invention relates to the field of engineering quality control, in particular to an assembly type building construction quality control method based on a BIM technology.
Background
The prefabricated building refers to a building which is formed by transferring a large amount of field operation in the traditional construction mode to a factory, processing building components and accessories in the factory, transporting the building components and accessories to a construction site, and assembling the building components and accessories on the site through reliable connection. The fabricated building mainly comprises a fabricated concrete structure, a steel structure, a modern wood structure and the like. Due to the adoption of standardized design, industrial production, assembly type construction, informatization management and intelligent application, the method is a representative of modern industrial production modes.
Because the production factory is separated from the assembly site, the quality control of the assembly type building construction generally comprises three stages, namely before construction, during construction and after construction, wherein the quality control is mainly carried out on the manufacturing process of the prefabricated part before construction, the quality control is mainly carried out on the installation process of the prefabricated part during construction, and the quality control is carried out on the acceptance stage correspondingly after construction. In the prior art, when the installation quality of the prefabricated part is received in the acceptance stage, generally, monitoring parameters of the installation quality of the prefabricated part are obtained in a manual regular obtaining mode, and then the monitoring parameters are input into a building BIM (building information modeling) model for quality judgment. The number of monitoring parameters which can be acquired by means of manual periodic acquisition is limited, and the acquisition efficiency is low. It is not conducive to efficiently and accurately quality control of the fabricated building at the acceptance stage.
Disclosure of Invention
The invention aims to disclose an assembly type building construction quality control method based on a BIM technology, and solves the problems that in the prior art, when quality control is performed on an assembly type building in an acceptance stage, monitoring parameters of installation quality of prefabricated parts are acquired manually and periodically, efficiency is low, and quality control on the assembly type building is not facilitated efficiently and accurately.
In order to achieve the purpose, the invention adopts the following technical scheme:
a BIM technology-based assembly type building construction quality control method comprises
S1, constructing a BIM (building information modeling) model of the fabricated building;
s2, arranging a wireless sensor monitoring system in the fabricated building;
s3, acquiring monitoring parameters of the installation quality of the prefabricated part through a wireless sensor monitoring system;
s4, inputting the monitoring parameters into a BIM model for displaying, and judging whether the monitoring parameters are abnormal or not;
and S5, controlling the installation quality of the prefabricated part with abnormal monitoring parameters in the BIM.
Preferably, the BIM model includes names, numbers, geometric dimensions, types, functions and functions of the prefabricated parts, installation guide, quality certification and quality assurance data of the prefabricated parts, material composition and performance, and installation quality standards.
Preferably, the monitoring parameter of the installation quality of the prefabricated parts comprises the width of the splicing seams of the prefabricated parts.
Preferably, the wireless sensor monitoring system comprises a wireless sensor node and a data transmission base station.
Preferably, the wireless sensor node is arranged on the surface of the prefabricated part, and the data transmission base station is arranged at the central position of the floor of the prefabricated building.
Preferably, the BIM model is stored in a working computer.
Preferably, the wireless sensor node is used for acquiring monitoring parameters of the prefabricated part and the installation quality and transmitting the width of the abutted seam to a data transmission base station;
the data transmission base station is used for transmitting the width of the splicing seam to a working computer;
the working computer is used for inputting the seam width into the BIM model for displaying and judging whether the seam width is abnormal according to a preset judgment rule.
Preferably, an RFID tag is embedded in the prefabricated part, and the number of the prefabricated part is stored in the RFID tag.
Preferably, the monitoring parameters further include appearance damage, dimensional deviation, and installation position and dimensional error of the prefabricated part.
Preferably, the wireless sensor monitoring system acquires the number of the prefabricated part by communicating with the RFID tag.
Preferably, the controlling the installation quality of the prefabricated part with abnormal monitoring parameters in the BIM model comprises the following steps:
and changing the color of the prefabricated part with abnormal monitoring parameters into a preset early warning color in the BIM.
The method and the device acquire the monitoring parameters of the installation quality of the prefabricated parts by setting the wireless sensor monitoring system, and compared with a manual regular acquisition mode, the method and the device have the advantages that the efficiency of acquiring the monitoring parameters is higher, and the acquisition frequency is higher, so that enough monitoring parameters can be acquired to judge the installation quality of the prefabricated parts, and the misjudgment of the installation quality of the prefabricated parts due to the fact that the acquired quantity is too small is avoided. The method is favorable for finding the quality problems existing in the installation and construction of the prefabricated part in time, and is favorable for efficiently and accurately controlling the quality of the prefabricated building.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram illustrating an exemplary embodiment of a construction quality control method for an assembly type building based on the BIM technology according to the present invention.
Fig. 2 is a diagram of an exemplary embodiment of the present invention for dividing wireless sensor nodes into a class one node and a class two node.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In an embodiment shown in fig. 1, the present invention provides a method for controlling the construction quality of an assembly type building based on BIM technology, including
S1, constructing a BIM (building information modeling) model of the fabricated building;
s2, arranging a wireless sensor monitoring system in the fabricated building;
s3, acquiring monitoring parameters of the installation quality of the prefabricated part through a wireless sensor monitoring system;
s4, inputting the monitoring parameters into a BIM model for displaying, and judging whether the monitoring parameters are abnormal or not;
and S5, controlling the installation quality of the prefabricated part with abnormal monitoring parameters in the BIM.
The method and the device acquire the monitoring parameters of the installation quality of the prefabricated parts by setting the wireless sensor monitoring system, and compared with a manual regular acquisition mode, the method and the device have the advantages that the efficiency of acquiring the monitoring parameters is higher, and the acquisition frequency is higher, so that enough monitoring parameters can be acquired to judge the installation quality of the prefabricated parts, and the misjudgment of the installation quality of the prefabricated parts due to the fact that the acquired quantity is too small is avoided. The method is favorable for finding the quality problems existing in the installation and construction of the prefabricated part in time, and is favorable for efficiently and accurately controlling the quality of the prefabricated building.
Preferably, the BIM model includes names, numbers, geometric dimensions, types, functions and functions of the prefabricated parts, installation guide, quality certification and quality assurance data of the prefabricated parts, material composition and performance, and installation quality standards.
Preferably, the monitoring parameter of the installation quality of the prefabricated parts comprises the width of the splicing seams of the prefabricated parts.
Preferably, the wireless sensor monitoring system comprises a wireless sensor node and a data transmission base station.
Specifically, the wireless sensor node comprises various sensors which are used for acquiring monitoring parameters of the installation quality of the prefabricated parts.
The mode of setting up wireless sensor and transfer basic station combination can effectively reduce the cost of monitoring, if use the monitoring devices who directly has wireless cellular network communication function, the cost can be than higher.
Preferably, the wireless sensor node is arranged on the surface of the prefabricated part, and the data transmission base station is arranged at the central position of the floor of the prefabricated building.
Further, if the prefabricated building has a plurality of floors, a data transmission base station is provided at the center of each floor.
Preferably, the BIM model is stored in a working computer.
Preferably, the wireless sensor node is used for acquiring the seam width of the prefabricated part and transmitting the seam width to the data transmission base station;
the data transmission base station is used for transmitting the width of the splicing seam to a working computer;
the working computer is used for inputting the seam width into the BIM model for displaying and judging whether the seam width is abnormal according to a preset judgment rule.
Specifically, the data transmission base station may transmit the monitoring parameter to the transfer server through a 4G network, a 5G network, or the like; and installing corresponding client terminals in the working computer, wherein the client terminals are used for communicating with the transfer server and receiving the monitoring parameters sent from the transfer server.
Preferably, the data transmission base station is further configured to divide the wireless sensor nodes into a class one node and a class two node;
the first-class nodes are used for acquiring monitoring parameters of the prefabricated part and the installation quality and sending the monitoring parameters to the second-class nodes;
the second class node is used for communicating with the first class node, receiving the monitoring parameters sent by the first class node, and transmitting the monitoring parameters to the base station.
Preferably, the second-class node is also used for acquiring monitoring parameters of the prefabricated part and the installation quality, and sending the acquired monitoring parameters and the monitoring parameters transmitted by the first-class node to the data transfer base station together.
Preferably, as shown in fig. 2, the dividing the wireless sensor nodes into a class one node and a class two node includes:
s11, the data transmission base station judges whether the self-adaptive countdown is finished;
s12, after the self-adaptive countdown is finished, the data transmission base station divides the wireless sensor nodes into a first class node and a second class node, and stores the numbers of the wireless sensor nodes corresponding to the first class node and the second class node into a set U1 and a set U2 respectively;
s13, sending the sets U1 and U2 to all wireless sensor nodes;
s14, the data transmission base station calculates a new self-adaptive countdown and enters S11.
Specifically, after the self-adaptive countdown is finished, the data transmission base station divides the wireless sensor nodes into a first class node and a second class node, sends the obtained sets U1 and U2 to the wireless sensor nodes, then calculates the next self-adaptive countdown, starts to count down after the result is calculated, and after the countdown is finished, divides the wireless sensor nodes for a new round.
By means of maintaining the self-adaptive countdown mode, the division interval of the wireless sensor nodes can be correspondingly changed along with the change of data transmission pressure, and the power consumption of the wireless sensor nodes is effectively saved. If a fixed time interval is adopted between two rounds of division, on one hand, when the data transmission pressure is small, the electric quantity of the wireless sensor nodes can be wasted by frequent division, and on the other hand, when the data transmission pressure is large, part of the wireless sensor nodes can consume energy too quickly as class II nodes, and the wireless sensor nodes quit working, so that the acquisition of the monitoring parameters of the prefabricated part is influenced.
Specifically, after receiving the U1 and the U2, the wireless sensor node determines whether the wireless sensor node belongs to a class ii node or a class iii node by determining a set in which the number of the wireless sensor node is located.
Preferably, the dividing of the wireless sensor nodes into a class one node and a class two node includes:
s21, initializing a computing node;
s22, storing the wireless sensor nodes which are in the communication range of the computing nodes, do not belong to the set Umid and have the distance with the data transmission base station meeting the set distance condition into a set Upxnd;
s23, if the Upxnd is not an empty set, respectively calculating the forwarding efficiency coefficient of each wireless sensor node in the Upxnd; if Upxnd is the empty set, enter S26;
s24, storing the wireless sensor node with the highest forwarding efficiency coefficient in Upxnd into a set Umid;
s25, taking the wireless sensor node with the highest forwarding efficiency coefficient in Upxnd as a next calculation node, and entering S22;
and S26, taking all wireless sensor nodes in the Umid as class II nodes, and taking the rest wireless sensor nodes in the wireless sensor monitoring system as class I nodes.
In the process of dividing the wireless sensor nodes, the random division mode is not adopted, because the random division mode easily causes the distribution of the second class nodes in the fabricated building to be uneven, and the average working time of the wireless sensor nodes is shortened. According to the invention, the wireless sensor node closest to the data transmission base station is initialized into the computing node from near to far, then the next computing node is selected based on the current computing node, and the two types of nodes are selected from near to far by the extending mode, so that the distribution of the two types of nodes is more uniform. And because the next computing node is selected in the communication range of the current computing node, the adjacent two types of nodes can communicate in a single-hop communication mode, and the transmission efficiency of the monitoring coefficient can be effectively improved.
Preferably, initializing a compute node comprises:
and taking the wireless sensor node closest to the data transmission base station as a computing node.
Preferably, the set distance condition includes:
recording the distance between the computing node and the data transmission base station as dlst 1 Recording the distance between the wireless sensor node and the data transmission base station as dltst, and if dltst is greater than or equal to dlst 1 If not, the set distance condition is not met.
The distance condition can prevent the selection of the second type nodes from falling into local circulation, so that the distance between the subsequently selected second type nodes and the data transmission base station is the same as or longer than that between the subsequently selected second type nodes and the current second type nodes, and the extension of the second type nodes from near to far is effectively ensured.
Preferably, the forwarding efficiency coefficient is calculated by the following formula:
wherein, foref represents the conversion of the wireless sensor nodeCoefficient of power generation efficiency, alpha, beta, delta,
Representing a preset proportionality coefficient, bdltst representing a preset distance reference value, dltst representing a distance between the wireless sensor node and the data transmission base station, nclf representing the current electric quantity of the wireless sensor node, malf representing the maximum electric quantity of the wireless sensor node, and dbst s Representing the distance between the element s and the wireless sensor node in the set Q, Q representing the set of other wireless sensor nodes within the communication range of the wireless sensor node, nf representing the total number of elements in the set Q, dbstq representing a preset distance average reference value, dnsp representing a preset number reference value.
In particular, the method comprises the following steps of,
in the above embodiment, the forwarding efficiency coefficient is calculated from the distance, the power amount, the average distance between other wireless sensor nodes in the communication range, and the number, and the closer the distance to the data transmission base station, the more the remaining power amount, the smaller the average distance to the wireless communication node in Q, and the more the total number of elements in the set Q, the larger the forwarding efficiency coefficient, so that the forwarding efficiency coefficient can more comprehensively represent the data forwarding capability of the wireless sensor node. In addition, the setting of the coefficient of alpha larger than other coefficients can enable the second type of nodes to preferentially extend towards the direction close to the data transmission base station, so that the distribution of the second type of nodes is more reasonable. The data transmission base station is internally pre-stored with information such as the maximum communication radius, the coordinates, the maximum electric quantity and the like of each wireless sensor node. And when the current electric quantity is transmitted by the wireless sensor node, the current electric quantity is written to the tail of the message queue and is sent to the data transmission base station by the way.
Preferably, the adaptive countdown is calculated by:
after the nth division is finished, calculating a new self-adaptive countdown fixdtm (n) by the following formula:
in the formula, the fixdtm (n-1) represents the self-adaptive countdown obtained by calculation after the n-1 th round of division is finished, pst represents the preset time length, fis (n-1) represents the data transmission pressure coefficient of the wireless sensor monitoring system when the fixdtm (n-1) countdown is finished, stfis represents the preset data transmission pressure coefficient threshold value,
where P represents the set of all wireless sensor nodes, nfP represents the total number of elements contained in P, nclf represents v Representing the current charge of element v in P.
Specifically, n is 2 or more.
Specifically, the numeric area of the fixdtm (n) is [ mifixdtm, mafix dtm ], the mifixdtm and the mafix dtm respectively represent the minimum value and the maximum value of the adaptive countdown, if the fixtm (n-1) -pst is smaller than the mifixdtm, the value of the fixtm (n) is mifixdtm, and if the fixtm (n-1) -pst is larger than the mafix dtm, the value of the fixtm (n) is mafix dtm.
The adaptive countdown is related to uniformity of distribution of the remaining power, and the more uniform the distribution of the remaining power, the smaller the communication pressure, and therefore the smaller the data transmission pressure coefficient, the smaller the value of the adaptive countdown for the next round of countdown can be appropriately increased, and conversely, the value of the adaptive countdown for the next round of countdown can be decreased. So that the adjacent two divisions can be adapted to the transmission pressure.
In addition, the smaller the adaptive countdown is, the better, because the smaller the adaptive countdown is, the power consumption of the wireless sensor node is too fast, and therefore, the minimum value is set, and the situation that the adaptive countdown is too small is avoided. In addition, the larger the adaptive countdown is, the better, and the larger the adaptive countdown is, the longer the division interval is, the more the division interval can not keep up with the change of the transmission pressure.
Preferably, an RFID tag is embedded in the prefabricated part, and the serial number of the prefabricated part is stored in the RFID tag.
Preferably, the monitoring parameters further comprise appearance damage, dimensional deviation, and mounting position and dimensional error of the prefabricated part.
Preferably, the wireless sensor monitoring system acquires the number of the prefabricated part by communicating with the RFID tag.
Preferably, the controlling the installation quality of the prefabricated part with abnormal monitoring parameters in the BIM model comprises the following steps:
and changing the color of the prefabricated part with abnormal monitoring parameters into a preset early warning color in the BIM.
Specifically, the color of the early warning is different from the original color of the prefabricated part, so that the engineering personnel can conveniently and visually know the abnormal construction position of the installation of the prefabricated part. For example, if the original color of the prefabricated part is white, the warning color may be set to red.
Preferably, the working computer is also used for prompting the number and the installation quality of the prefabricated part with abnormal monitoring parameters to engineering personnel through a pop-up window mode. Preferably, the determining whether the monitoring parameter is abnormal includes:
for the same type of monitoring parameters of the same prefabricated part, acquiring the monitoring parameters within a specified time length, if the monitoring parameters are all within a set threshold value range, indicating that the prefabricated part is normally installed,
if the existing parts of the monitoring parameters exceed the threshold range, calculating the proportion of the abnormal quantity to the total number of the monitoring parameters in the time length, if the proportion is smaller than the set threshold, indicating that the prefabricated part is normally installed and meets the quality requirement, otherwise, indicating that the prefabricated part is abnormally installed and does not meet the quality requirement.
The BIM model can also count the number of installation defects, abnormal proportions and the like of various types of prefabricated parts.
While embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
It should be noted that, functional units/modules in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules are integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of software functional units/modules.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of the embodiments may be accomplished by a computer program instructing the associated hardware.
In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Claims (9)
1. A BIM technology-based fabricated building construction quality control method is characterized by comprising the following steps:
s1, constructing a BIM (building information modeling) model of the fabricated building;
s2, arranging a wireless sensor monitoring system in the fabricated building;
s3, acquiring monitoring parameters of the installation quality of the prefabricated part through a wireless sensor monitoring system;
s4, inputting the monitoring parameters into a BIM model for displaying, and judging whether the monitoring parameters are abnormal or not;
s5, controlling the installation quality of the prefabricated part with abnormal monitoring parameters in the BIM model;
the wireless sensor monitoring system comprises wireless sensor nodes and a data transmission base station;
the data transmission base station is also used for dividing the wireless sensor nodes into a first class node and a second class node;
the first-class node is used for acquiring monitoring parameters of the prefabricated part and the installation quality and sending the monitoring parameters to the second-class node;
the second-class node is used for communicating with the first-class node, receiving the monitoring parameters sent by the first-class node and transmitting the monitoring parameters to the base station;
the second-class node is also used for acquiring monitoring parameters of the prefabricated part and the installation quality and sending the acquired monitoring parameters and the monitoring parameters transmitted by the first-class node to the data transfer base station;
the method for dividing the wireless sensor nodes into a class I node and a class II node comprises the following steps:
s11, the data transmission base station judges whether the self-adaptive countdown is finished;
s12, after the self-adaptive countdown is finished, the data transmission base station divides the wireless sensor nodes into a first class node and a second class node, and stores the numbers of the wireless sensor nodes corresponding to the first class node and the second class node into a set U1 and a set U2 respectively;
s13, sending the sets U1 and U2 to all wireless sensor nodes;
s14, the data transmission base station calculates new self-adaptive countdown and enters S11;
the method for dividing the wireless sensor nodes into a first class node and a second class node comprises the following steps:
s21, initializing a computing node;
s22, storing the wireless sensor nodes which are in the communication range of the computing node, do not belong to the set Umid and have the distance with the data transmission base station meeting the set distance condition into a set Upxnd;
s23, if the Upxnd is not an empty set, respectively calculating the forwarding efficiency coefficient of each wireless sensor node in the Upxnd; if Upxnd is the empty set, enter S26;
s24, storing the wireless sensor node with the highest forwarding efficiency coefficient in Upxnd into a set Umid;
s25, taking the wireless sensor node with the highest forwarding efficiency coefficient in Upxnd as a next calculation node, and entering S22;
and S26, taking all wireless sensor nodes in the Umid as class II nodes, and taking the rest wireless sensor nodes in the wireless sensor monitoring system as class I nodes.
2. The prefabricated construction quality control method based on the BIM technology according to claim 1,
the BIM model comprises the name, the number, the geometric dimension, the type, the function and the action of the prefabricated part, installation guide, quality certification and quality assurance data of the prefabricated part, material composition and performance and installation quality standard;
the monitoring parameters of the installation quality of the prefabricated parts comprise the widths of the splicing seams of the prefabricated parts.
3. The prefabricated construction quality control method based on the BIM technology according to claim 1,
the wireless sensor nodes are arranged on the surface of the prefabricated part, and the data transmission base station is arranged at the central position of the floor of the fabricated building.
4. The prefabricated construction quality control method based on the BIM technology according to claim 1,
the BIM model is stored in the working computer.
5. The BIM technology-based assembly building construction quality control method according to claim 4,
the wireless sensor node is used for acquiring the seam width of the prefabricated part and transmitting the seam width to the data transmission base station;
the data transmission base station is used for transmitting the width of the splicing seam to a working computer;
the working computer is used for inputting the seam width into the BIM model for displaying and judging whether the seam width is abnormal according to a preset judgment rule.
6. The assembly type building construction quality control method based on the BIM technology as claimed in claim 1,
and an RFID label is pre-embedded in the prefabricated part, and the serial number of the prefabricated part is stored in the RFID label.
7. The BIM technology-based assembly building construction quality control method according to claim 6,
the monitoring parameters further comprise appearance damage and size deviation, and prefabricated part installation position and size errors.
8. The BIM technology-based assembly building construction quality control method according to claim 7,
the wireless sensor monitoring system obtains the number of the prefabricated part through communicating with the RFID tag.
9. The assembly type building construction quality control method based on the BIM technology as claimed in claim 1,
the method for controlling the installation quality of the prefabricated part with abnormal monitoring parameters in the BIM model comprises the following steps:
and changing the color of the prefabricated part with abnormal monitoring parameters into a preset early warning color in the BIM.
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