CN113793098B - BIM (building information modeling) model management system for scanning two-dimensional code by mobile equipment - Google Patents
BIM (building information modeling) model management system for scanning two-dimensional code by mobile equipment Download PDFInfo
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Abstract
The invention discloses a BIM model management system for a mobile device to scan two-dimensional codes, which relates to the technical field of steel structure application management and solves the technical problem that in the prior art, the classification management of steel structures cannot be carried out, so that a detector cannot accurately acquire the data of the steel structures, engineering information is analyzed through an uploading classification unit to acquire the existing steel structures in stock, then managers bind the existing steel structures in stock with corresponding items and contract numbers, and mark the bound steel structures as Xio; uploading the bound steel structure Xio, acquiring corresponding project name Chinese characters, marking the corresponding project name keywords as storage keywords, acquiring an importance coefficient PTio of the storage keywords through a formula, and then constructing a steel structure coding keyword set; the steel structure is managed and classified, classified management is carried out on the steel structure through keyword extraction, and accuracy of personnel for acquiring steel structure information is improved.
Description
Technical Field
The invention relates to the technical field of BIM model management, in particular to a BIM model management system for scanning two-dimensional codes by mobile equipment.
Background
The conventional steel structure project is used for only some CAD two-dimensional graphs and pictures for factory processing and installation, workers and field personnel cannot check the three-dimensional model, the on-site searching of components is difficult to locate, complex components are difficult to express clearly through two dimensions, single components cannot be pre-assembled, problems cannot be found in advance, only professional technicians can open and check the three-dimensional model in a computer through (tekla) software programs, the software needs to be installed and purchased in the computer, one person can be more than twenty thousand, and common personnel and enterprises cannot bear the problems.
However, in the prior art, classification management of steel structures cannot be performed, so that detection personnel cannot accurately acquire data of the steel structures, and thus work efficiency is reduced.
Disclosure of Invention
The invention aims to provide a BIM model management system for scanning two-dimensional codes by mobile equipment, engineering information is analyzed through an uploading classification unit, so that the engineering information is bound with steel structure, the existing steel structure in stock is obtained, the existing steel structure in stock is marked as X, X is 1, 2, … …, k is a positive integer, then a manager binds the existing steel structure in stock with corresponding items and contract numbers, and the bound steel structure is marked as Xio; uploading the bound steel structure Xio, acquiring corresponding project name Chinese characters after the steel structure is uploaded, marking the corresponding project name keywords as storage keywords, then acquiring the occurrence times and the occurrence frequency of the storage keywords in the project name, acquiring the importance coefficient PTio of the storage keywords through a formula, sequencing the storage keywords according to the importance coefficient PTio of the storage keywords in the descending order of the data, marking the first storage keyword in the sequence as a coding keyword of the corresponding project, marking the coding keyword as K, and then constructing a steel structure coding keyword set; the method has the advantages that the steel structure is managed and classified, and classified management is carried out on the steel structure through keyword extraction, so that the accuracy of personnel for acquiring the steel structure information is improved;
the purpose of the invention can be realized by the following technical scheme:
a BIM model management system for scanning two-dimensional codes by mobile equipment comprises an application management platform, an uploading classification unit, an identification and query unit, a parameter binding unit, a pre-assembly detection unit, a registration and login unit and a database;
the uploading classification unit is used for analyzing the engineering information so as to bind the engineering information with a steel structure, the engineering information comprises items, contract numbers and item names, the items are marked as i, i is 1, 2, … …, n is a positive integer, the contract numbers are marked as o, o is 1, 2, … …, m and m are positive integers, and the specific analysis binding process is as follows:
step S1: acquiring the existing steel structure in the inventory, marking the existing steel structure in the inventory as X, wherein X is 1, 2, … …, k and k is a positive integer, then binding the existing steel structure in the inventory with a corresponding item and a contract number by a manager, and marking the bound steel structure as Xio;
step S2: uploading the bound steel structure Xio, acquiring corresponding project name Chinese characters after the steel structure is uploaded, marking the corresponding project name keywords as storage keywords, then acquiring the occurrence times and the occurrence frequency of the storage keywords in the project name, respectively marking the occurrence times and the occurrence frequency of the storage keywords in the project name as CSio and PLio, and acquiring the importance coefficient PTio of the storage keywords by a formula PTio beta 1(CSio x a1+ PLio x a2), wherein a1 and a2 are both proportional coefficients, a1 is more than a2 and more than 0, and beta 1 is an error correction factor and takes the value as 1.36525;
step S3: according to the importance coefficient PTio of the storage keywords, sorting is carried out according to the sequence of the data from large to small, the first storage keyword in the sorting is marked as the coding keyword of the corresponding item, the coding keyword is marked as K, and then a steel structure coding keyword set (KX11, KX12, … … and KX1o) is constructed, wherein KX12 is a steel structure X with the same number of 2 and the keyword of K in the 1 st item, and the different item numbers correspond to different steel structure coding keyword sets, namely the steel structure coding keyword set corresponding to the 2 nd item is (KX21, KX22, … … and KX2 o);
step S4: the set of steel-structured coding keys (KX11, KX12, … …, KX1o) is then sent to the operational management platform.
Further, after receiving the steel structure coding keyword set by using the management platform, setting an engineering subitem repository and storing the steel structure coding keyword set into the engineering subitem repository, then setting a steel structure parameter repository, and simultaneously generating a parameter binding signal and sending the parameter binding signal to the parameter binding unit;
the parameter is bound the unit and is received the parameter and bind the signal after, and the parameter information to the steel structure carries out the analysis, and the parameter information includes appearance data and welding seam data, and appearance data is the quantity of the surface defect department of steel structure, and the welding seam data is the welding seam thickness of steel structure surface and corresponds the difference of steel structure welding seam thickness standard, and specific analytic process is as follows:
step SS 1: acquiring the number of the outer surface defects of the steel structure, and marking the number of the outer surface defects of the steel structure as SL;
step SS 2: acquiring the difference value between the thickness of the welding line on the outer surface of the steel structure and the thickness standard of the welding line on the corresponding steel structure, and marking the difference value between the thickness of the welding line on the outer surface of the steel structure and the thickness standard of the welding line on the corresponding steel structure as HF;
step SS 3: by the formula
Acquiring a detection coefficient FX of the steel structure, wherein s1 and s2 are proportional coefficients, s1 is larger than s2 is larger than 0, and e is a natural constant;
step SS 4: comparing the detection coefficient FX of the steel structure with the detection coefficient threshold of the steel structure:
if the detection coefficient FX of the steel structure is larger than or equal to the detection coefficient threshold of the steel structure, judging that the corresponding steel structure is unqualified, generating a steel structure unqualified signal and sending the steel structure unqualified signal to a mobile phone terminal of a manager;
if the detection coefficient FX of the steel structure is smaller than the detection coefficient threshold of the steel structure, judging that the corresponding steel structure is qualified, generating a steel structure qualified signal and sending the steel structure qualified signal to a mobile phone terminal of a manager;
step SS 5: after receiving the qualified signal of steel structure, managers acquire the length, material, quantity and the producer of the steel structure that corresponds, later with the length, material, quantity and the producer of steel structure together deposit steel structure parameter repository with steel structure detection coefficient.
Further, binding an engineering subitem repository and a steel structure parameter repository by using a management platform, then setting an access sequence for the engineering subitem repository and the steel structure parameter repository, generating an identification two-dimensional code and attaching the identification two-dimensional code to the outer surface of the steel structure;
the identification query unit is used for detecting personnel to identify the two-dimensional code through the mobile phone terminal, and the specific identification process is as follows:
step T1: a detection person identifies the two-dimensional code on the steel structure through a mobile phone terminal, and the mobile phone terminal of the detection person generates an engineering subentry query signal and sends the engineering subentry query signal to an application management platform;
step T2: the management platform is used for receiving the engineering subitem query signal, generating an identity verification instruction and sending the identity verification instruction to a mobile phone terminal of a detector, the detector sends identity information to the management platform after receiving the identity verification instruction, the management platform is used for sending the identity information to the mobile phone terminal of the manager, if the manager generates a pass instruction, engineering information in an engineering subitem storage library corresponding to the steel structure two-dimensional code is sent to the mobile phone terminal of the detector, and the identity information is the name and the work number of the detector;
step T3: and then, the detection personnel acquire the steel structure parameter information in the steel structure parameter storage library, and after the management platform is used for sending the steel structure parameter information to the mobile phone terminal of the detection personnel, the identity, the query duration and the time period of the detection personnel are recorded and sent to the database for storage.
Further, the pre-assembly detection unit is used for pre-assembling the engineering project corresponding to the steel structure and predicting the installation of the engineering project:
step TT 1: after two-dimensional code recognition is carried out on a steel structure by a detector, uploading drawings of engineering projects corresponding to the recognized steel structure, constructing a building model of the corresponding engineering project through 3D modeling, and then marking the building model as a pre-assembled model;
step TT 2: carrying out color marking on steel structures corresponding to the identification two-dimensional codes in the pre-assembled model, then carrying out color marking on the steel structures of the same type, then identifying the steel structures by a detector, carrying out color marking on the steel structures in the pre-assembled model, and counting the number of the steel structures;
step TT 3: installing and predicting the pre-assembled model after color marking to obtain structural data of the steel structure in the pre-assembled model, wherein the structural data of the steel structure are stress data and tensile data, the stress data is the stress correspondingly born by the steel structure in the pre-assembled model, and the tensile data is the tensile strength born by the joint of the steel structure in the pre-assembled model;
step TT 4: acquiring the stress correspondingly born by a steel structure in a pre-assembled model and the tensile strength born by a steel structure joint in the pre-assembled model, respectively marking the stress correspondingly born by the steel structure in the pre-assembled model and the tensile strength born by the steel structure joint in the pre-assembled model as YL and KL, and acquiring the installation coefficient YC of the pre-assembled model by a formula YC ═ alpha (YL × x1+ KL × x2), wherein x1 and x2 are proportional coefficients, x1 is more than x2 and more than 0, and alpha is an error correction factor and takes the value of 1.32562;
step TT 5: comparing the installation coefficient YC of the pre-assembled model with an installation coefficient threshold value:
if the installation coefficient YC of the pre-assembled model is larger than or equal to the installation coefficient threshold value, judging that the steel structure in the corresponding pre-assembled model is abnormal, generating a detection rectification signal and sending the detection rectification signal to a mobile phone terminal of a manager;
and if the installation coefficient YC of the pre-assembled model is less than the installation coefficient threshold value, judging that the steel structure in the corresponding pre-assembled model is normal, generating a normal installation signal and sending the normal installation signal to a mobile phone terminal of a manager.
Further, the registration and login unit is used for the manager and the detector to submit the manager information and the detector information through the mobile phone terminal for registration, and the manager information and the detector information which are successfully registered are sent to the database for storage, the manager information is the name, the age, the time of entry and the mobile phone number of the real name authentication of the manager, and the detector information is the name, the age, the time of entry and the mobile phone number of the real name authentication of the detector.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the engineering information is analyzed through the uploading classification unit, so that the engineering information is bound with the steel structure, the existing steel structure in the stock is obtained, the existing steel structure in the stock is marked as X, X is 1, 2, … …, k is a positive integer, then a manager binds the existing steel structure in the stock with the corresponding item and the contract number, and the bound steel structure is marked as Xio; uploading the bound steel structure Xio, acquiring corresponding project name Chinese characters after the steel structure is uploaded, marking the corresponding project name keywords as storage keywords, then acquiring the occurrence times and the occurrence frequency of the storage keywords in the project name, acquiring the importance coefficient PTio of the storage keywords through a formula, sequencing the storage keywords according to the importance coefficient PTio of the storage keywords in the descending order of the data, marking the first storage keyword in the sequence as a coding keyword of the corresponding project, marking the coding keyword as K, and then constructing a steel structure coding keyword set; the method has the advantages that the steel structure is managed and classified, and classified management is carried out on the steel structure through keyword extraction, so that the accuracy of personnel for acquiring the steel structure information is improved;
2. in the invention, after a parameter binding signal is received by a parameter binding unit, the parameter information of the steel structure is analyzed to obtain the number of the outer surface defects of the steel structure and the difference value between the thickness of the welding line on the outer surface of the steel structure and the thickness standard of the welding line of the corresponding steel structure, the detection coefficient FX of the steel structure is obtained by a formula, if the detection coefficient FX of the steel structure is less than the detection coefficient threshold of the steel structure, the corresponding steel structure is judged to be qualified, a steel structure qualified signal is generated, and the steel structure qualified signal is sent to a mobile phone terminal of a manager; after receiving the steel structure qualified signal, a manager acquires the length, the material, the quantity and the manufacturer of the corresponding steel structure, and then stores the length, the material, the quantity and the manufacturer of the steel structure and the steel structure detection coefficient into a steel structure parameter repository; binding the project subitem repository and the steel structure parameter repository by using a management platform, then setting an access sequence for the project subitem repository and the steel structure parameter repository, generating an identification two-dimensional code and attaching the identification two-dimensional code to the outer surface of the steel structure; the two-dimensional code that corresponds is set up to the steel structure, has strengthened measurement personnel when installation and detection, and the acquisition that can be convenient obtains the steel structure and corresponds information, has improved field management's high efficiency.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a BIM model management system for scanning two-dimensional codes by a mobile device includes an application management platform, an upload classification unit, an identification query unit, a parameter binding unit, a pre-assembly detection unit, a registration unit and a database;
the system comprises a registration login unit, a database and a database, wherein the registration login unit is used for submitting management personnel information and detection personnel information to register by a manager and a detector through mobile phone terminals, and sending the successfully registered management personnel information and detection personnel information to the database for storage, the management personnel information is the name, age, time of entry and the mobile phone number of real name authentication of the manager, and the detection personnel information is the name, age, time of entry and the mobile phone number of real name authentication of the detector;
the uploading classification unit is used for analyzing the engineering information so as to bind the engineering information with a steel structure, the engineering information comprises items, contract numbers and item names, the items are marked as i, i is 1, 2, … …, n is a positive integer, the contract numbers are marked as o, o is 1, 2, … …, m and m are positive integers, and the specific analysis binding process is as follows:
step S1: acquiring the existing steel structure in the inventory, marking the existing steel structure in the inventory as X, wherein X is 1, 2, … …, k and k is a positive integer, then binding the existing steel structure in the inventory with a corresponding item and a contract number by a manager, and marking the bound steel structure as Xio;
step S2: uploading the bound steel structure Xio, acquiring corresponding project name Chinese characters after the steel structure is uploaded, marking the corresponding project name keywords as storage keywords, then acquiring the occurrence times and the occurrence frequency of the storage keywords in the project name, respectively marking the occurrence times and the occurrence frequency of the storage keywords in the project name as CSio and PLio, and acquiring the importance coefficient PTio of the storage keywords by a formula PTio beta 1(CSio x a1+ PLio x a2), wherein a1 and a2 are both proportional coefficients, a1 is more than a2 and more than 0, and beta 1 is an error correction factor and takes the value as 1.36525;
step S3: according to the importance coefficient PTio of the storage keywords, sorting is carried out according to the sequence of the data from large to small, the first storage keyword in the sorting is marked as the coding keyword of the corresponding item, the coding keyword is marked as K, and then a steel structure coding keyword set (KX11, KX12, … … and KX1o) is constructed, wherein KX12 is a steel structure X with the same number of 2 and the keyword of K in the 1 st item, and the different item numbers correspond to different steel structure coding keyword sets, namely the steel structure coding keyword set corresponding to the 2 nd item is (KX21, KX22, … … and KX2 o);
step S4: then, a steel structure coding keyword set (KX11, KX12, … …, KX1o) is sent to an application management platform; the method has the advantages that the steel structure is managed and classified, and classified management is carried out on the steel structure through keyword extraction, so that the accuracy of personnel for acquiring the steel structure information is improved;
after receiving the key word set of the steel structure code by using the management platform, setting an engineering subitem repository and storing the key word set of the steel structure code into the engineering subitem repository, then setting a steel structure parameter repository, and simultaneously generating a parameter binding signal and sending the parameter binding signal to a parameter binding unit;
the parameter binding unit receives the parameter and binds the back of the signal, analyzes the parameter information of the steel structure, and parameter information includes appearance data and welding seam data, and appearance data is the quantity of the surface defect department of steel structure, and welding seam data is the difference of the welding seam thickness of steel structure surface and the corresponding steel structure welding seam thickness standard, and specific analytic process is as follows:
step SS 1: acquiring the number of the outer surface defects of the steel structure, and marking the number of the outer surface defects of the steel structure as SL;
step SS 2: acquiring the difference between the thickness of the welding seam on the outer surface of the steel structure and the thickness standard of the welding seam of the corresponding steel structure, and marking the difference between the thickness of the welding seam on the outer surface of the steel structure and the thickness standard of the welding seam of the corresponding steel structure as HF;
step SS 3: by the formula
Acquiring a detection coefficient FX of the steel structure, wherein s1 and s2 are proportional coefficients, s1 is larger than s2 is larger than 0, and e is a natural constant;
step SS 4: comparing the detection coefficient FX of the steel structure with the detection coefficient threshold of the steel structure:
if the detection coefficient FX of the steel structure is larger than or equal to the detection coefficient threshold of the steel structure, judging that the corresponding steel structure is unqualified, generating a steel structure unqualified signal and sending the steel structure unqualified signal to a mobile phone terminal of a manager;
if the detection coefficient FX of the steel structure is smaller than the detection coefficient threshold of the steel structure, judging that the corresponding steel structure is qualified, generating a steel structure qualified signal and sending the steel structure qualified signal to a mobile phone terminal of a manager;
step SS 5: after receiving the steel structure qualified signal, a manager acquires the length, the material, the quantity and the manufacturer of the corresponding steel structure, and then stores the length, the material, the quantity and the manufacturer of the steel structure and the steel structure detection coefficient into a steel structure parameter repository;
binding the project subitem repository and the steel structure parameter repository by using a management platform, then setting an access sequence for the project subitem repository and the steel structure parameter repository, generating an identification two-dimensional code and attaching the identification two-dimensional code to the outer surface of the steel structure;
the identification query unit is used for detecting personnel to identify the two-dimensional code through the mobile phone terminal, and the specific identification process is as follows:
step T1: a detection person identifies the two-dimensional code on the steel structure through a mobile phone terminal, and the mobile phone terminal of the detection person generates an engineering subentry query signal and sends the engineering subentry query signal to an application management platform;
step T2: the method comprises the steps that an identity verification instruction is generated after an engineering subitem query signal is received by an application management platform and is sent to a mobile phone terminal of a detector, identity information is sent to the application management platform after the detector receives the identity verification instruction, the identity information is sent to a mobile phone terminal of a manager by the application management platform, if the manager generates a pass instruction, engineering information in an engineering subitem storage library corresponding to a steel structure two-dimensional code is sent to the mobile phone terminal of the detector, and the identity information is the name and the work number of the detector;
step T3: then, the detection personnel acquire the steel structure parameter information in the steel structure parameter storage library, and after the management platform is used for sending the steel structure parameter information to the mobile phone terminal of the detection personnel, the identity, the query duration and the time period of the detection personnel are recorded and sent to the database for storage;
the pre-assembly detection unit is used for pre-assembling the engineering project corresponding to the steel structure and predicting the installation of the engineering project:
step TT 1: after two-dimensional code recognition is carried out on a steel structure by a detector, uploading drawings of engineering projects corresponding to the recognized steel structure, constructing a building model of the corresponding engineering project through 3D modeling, and then marking the building model as a pre-assembled model;
step TT 2: carrying out color marking on steel structures corresponding to the identification two-dimensional codes in the pre-assembled model, then carrying out color marking on the steel structures of the same type, then identifying the steel structures by a detector, carrying out color marking on the steel structures in the pre-assembled model, and counting the number of the steel structures;
step TT 3: installing and predicting the pre-assembled model after color marking to obtain structural data of the steel structure in the pre-assembled model, wherein the structural data of the steel structure are stress data and tensile data, the stress data is the stress correspondingly born by the steel structure in the pre-assembled model, and the tensile data is the tensile strength born by the joint of the steel structure in the pre-assembled model;
step TT 4: acquiring the stress correspondingly born by a steel structure in a pre-assembled model and the tensile strength born by a steel structure joint in the pre-assembled model, respectively marking the stress correspondingly born by the steel structure in the pre-assembled model and the tensile strength born by the steel structure joint in the pre-assembled model as YL and KL, and acquiring the installation coefficient YC of the pre-assembled model by a formula YC ═ alpha (YL × x1+ KL × x2), wherein x1 and x2 are proportional coefficients, x1 is more than x2 and more than 0, and alpha is an error correction factor and takes the value of 1.32562;
step TT 5: comparing the installation coefficient YC of the pre-assembled model with an installation coefficient threshold value:
if the installation coefficient YC of the pre-assembled model is larger than or equal to the installation coefficient threshold value, judging that the steel structure in the corresponding pre-assembled model is abnormal, generating a detection rectification signal and sending the detection rectification signal to a mobile phone terminal of a manager;
and if the installation coefficient YC of the pre-assembled model is less than the installation coefficient threshold value, judging that the steel structure in the corresponding pre-assembled model is normal, generating a normal installation signal and sending the normal installation signal to a mobile phone terminal of a manager.
The working principle of the invention is as follows:
a BIM model management system for scanning two-dimensional codes by mobile equipment is characterized in that during work, engineering information is analyzed through an uploading classification unit, so that the engineering information is bound with a steel structure, existing steel structures in inventory are obtained, the existing steel structures in inventory are marked to be X, X is 1, 2, … …, k and k are positive integers, then managers bind the existing steel structures in inventory with corresponding items and contract numbers, and the bound steel structures are marked to be Xio; uploading the bound steel structure Xio, after the steel structure is uploaded, acquiring corresponding project name Chinese characters, marking the corresponding project name keywords as storage keywords, then acquiring the occurrence times and the occurrence frequency of the storage keywords in the project name, marking the occurrence times and the occurrence frequency of the storage keywords in the project name as CSio and PLio respectively, acquiring the importance coefficient PTio of the storage keywords by a formula PTio beta 1(CSio × a1+ PLio × a2), sorting the storage keywords from large to small according to the importance coefficients PTio of the storage keywords, marking the first sorted storage keyword as a coding keyword of the corresponding project, marking the coding keyword as K, and then constructing a steel structure coding keyword set (KX11, KX12, … …, KX1 o): then, a steel structure coding keyword set (KX11, KX12, … …, KX1o) is sent to an application management platform; the steel structure is managed and classified, classified management is carried out on the steel structure through keyword extraction, and accuracy of personnel for acquiring steel structure information is improved.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. A BIM model management system for scanning two-dimensional codes by mobile equipment is characterized by comprising an application management platform, an uploading classification unit, an identification query unit, a parameter binding unit, a pre-assembly detection unit, a registration unit and a database;
the uploading classification unit is used for analyzing the engineering information so as to bind the engineering information with the steel structure, wherein the engineering information comprises projects, contract numbers and project names, the projects are marked as i, i is 1, 2, … …, n is a positive integer, the contract numbers are marked as o, o is 1, 2, … …, m is a positive integer;
after receiving the set of the steel structure coding keywords by using the management platform, setting an engineering subitem repository and storing the set of the steel structure coding keywords into the engineering subitem repository, then setting a steel structure parameter repository, and simultaneously generating a parameter binding signal and sending the parameter binding signal to a parameter binding unit;
after receiving the parameter binding signal, the parameter binding unit analyzes the parameter information of the steel structure, and after receiving the qualified steel structure signal, a manager acquires the length, the material, the quantity and the manufacturer of the corresponding steel structure, and then stores the length, the material, the quantity and the manufacturer of the steel structure and the steel structure detection coefficient into a steel structure parameter repository;
the pre-assembly detection unit is used for pre-assembling the engineering project corresponding to the steel structure and predicting the installation of the engineering project: after two-dimensional code recognition is carried out on a steel structure by a detector, uploading drawings of engineering projects corresponding to the recognized steel structure, constructing a building model of the corresponding engineering project through 3D modeling, and then marking the building model as a pre-assembled model; color marking is carried out on the steel structure corresponding to the identification two-dimensional code in the pre-assembled model, installation prediction is carried out on the pre-assembled model after color marking, steel structure data in the pre-assembled model are obtained, an installation coefficient YC of the pre-assembled model is obtained through a formula, and the installation coefficient YC of the pre-assembled model is compared with an installation coefficient threshold value.
2. The BIM model management system for scanning the two-dimensional code by the mobile device according to claim 1, wherein the specific analysis and binding process of the uploading classification unit is as follows:
step S1: acquiring the existing steel structure in the inventory, marking the existing steel structure in the inventory as X, wherein X is 1, 2, … …, k and k is a positive integer, then binding the existing steel structure in the inventory with a corresponding item and a contract number by a manager, and marking the bound steel structure as Xio;
step S2: uploading the bound steel structure Xio, acquiring corresponding project name Chinese characters after the steel structure is uploaded, marking the corresponding project name keywords as storage keywords, then acquiring the occurrence times and the occurrence frequency of the storage keywords in the project name, respectively marking the occurrence times and the occurrence frequency of the storage keywords in the project name as CSio and PLio, and acquiring the importance coefficient PTio of the storage keywords by a formula PTio beta 1(CSio x a1+ PLio x a2), wherein a1 and a2 are both proportional coefficients, a1 is more than a2 and more than 0, and beta 1 is an error correction factor and takes the value as 1.36525;
step S3: according to the importance coefficient PTio of the storage keywords, sorting is carried out according to the sequence of the data from large to small, the first storage keyword in the sorting is marked as the coding keyword of the corresponding item, the coding keyword is marked as K, and then a steel structure coding keyword set (KX11, KX12, … … and KX1o) is constructed, wherein KX12 is a steel structure X with the same number of 2 and the keyword of K in the 1 st item, and the different item numbers correspond to different steel structure coding keyword sets, namely the steel structure coding keyword set corresponding to the 2 nd item is (KX21, KX22, … … and KX2 o);
step S4: the set of steel-structured coding keys (KX11, KX12, … …, KX1o) is then sent to the operational management platform.
3. The BIM model management system for mobile equipment to scan two-dimensional codes is characterized in that a management platform is used for binding an engineering subitem repository and a steel structure parameter repository, then an access sequence is set for the engineering subitem repository and the steel structure parameter repository, an identification two-dimensional code is generated and attached to the outer surface of a steel structure; the identification query unit is used for identifying the two-dimensional code by a detection person through a mobile phone terminal.
4. The BIM model management system for mobile device to scan two-dimensional code according to claim 1, wherein the qualified signal generation process is as follows: the parameter information comprises appearance data and welding line data, the appearance data and the welding line data are obtained, the detection coefficient FX of the steel structure is obtained through a formula, if the detection coefficient FX of the steel structure is smaller than the detection coefficient threshold value of the steel structure, the corresponding steel structure is judged to be qualified, a steel structure qualified signal is generated, and the steel structure qualified signal is sent to a mobile phone terminal of a manager.
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