CN109408959B - Method for acquiring manufacturing information of steel structure bridge - Google Patents

Method for acquiring manufacturing information of steel structure bridge Download PDF

Info

Publication number
CN109408959B
CN109408959B CN201811246038.1A CN201811246038A CN109408959B CN 109408959 B CN109408959 B CN 109408959B CN 201811246038 A CN201811246038 A CN 201811246038A CN 109408959 B CN109408959 B CN 109408959B
Authority
CN
China
Prior art keywords
steel structure
structure bridge
information
event
state
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811246038.1A
Other languages
Chinese (zh)
Other versions
CN109408959A (en
Inventor
惠记庄
雷景媛
丁凯
张富强
刘永健
程高
张金龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changan University
Original Assignee
Changan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changan University filed Critical Changan University
Priority to CN201811246038.1A priority Critical patent/CN109408959B/en
Publication of CN109408959A publication Critical patent/CN109408959A/en
Application granted granted Critical
Publication of CN109408959B publication Critical patent/CN109408959B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G06K17/0025—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Structural Engineering (AREA)
  • Computational Mathematics (AREA)
  • Civil Engineering (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Architecture (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method for acquiring manufacturing information of a steel structure bridge, which comprises the steps of firstly identifying a steel structure bridge section/member by using a QR two-dimensional code identification technology, and establishing a coding system of the steel structure bridge under a BIM technical framework; secondly, combining the QR two-dimensional code with the structural member/stage of the steel structure bridge to construct an intelligent entity, and defining factors such as the spatial position, the time and the like of the intelligent entity; and finally, constructing a steel structure bridge information model driven by events, realizing information acquisition of factors such as spatial position, time and the like, and further realizing monitoring and manufacturing information acquisition of state flow, spatial flow, process flow and the like of the intelligent entity.

Description

Method for acquiring manufacturing information of steel structure bridge
Technical Field
The invention belongs to the technical field of intelligent manufacturing and production system engineering, and particularly relates to a method for acquiring manufacturing information of a steel structure bridge.
Background
In order to actively respond to the requirements of science and technology of the department of transportation in the information field, the 'Internet +' action in the transportation field is implemented, the integrated innovation and application of modern information technologies such as cloud computing and big data are accelerated, the integration of the Internet industry and the transportation industry is promoted, and the intelligent level of traffic is comprehensively improved; the field of infrastructure requires the popularization of steel structures, steel-concrete composite structures, seamless bridges, and medium and small span bridges subjected to factory manufacturing, assembly type construction and integration stress. The steel structure bridge manufacturing can realize the autonomous interaction and cooperation among various production main bodies such as people, machines, objects and the like, so that the intelligent and autonomous levels in the steel structure bridge manufacturing process are improved.
With the increasingly wide application of emerging technologies such as an information physical fusion system and a digital twin technology in the manufacturing industry, the real-time acquisition, processing and analysis of the running state data of the manufacturing process are realized in the manufacturing process of parts in the traditional workshop, and the transparency degree of the production process is improved. However, the network collaborative manufacturing technology established for the industrial construction characteristics of the steel structure bridge is still vacant, and the construction of a real-time information model in the manufacturing process of the steel structure bridge is difficult to realize, so that the autonomous and intelligent production and management of the steel structure bridge are difficult to realize.
Aiming at the problem of real-time information model construction in the manufacturing process of the steel structure bridge, the bottleneck problem is caused by how to efficiently and accurately acquire key information elements of the steel structure bridge by constructing the information model according to the known structural characteristics and the manufacturing process of the steel structure bridge.
Disclosure of Invention
In order to solve the problems, the invention provides a method for acquiring steel structure bridge manufacturing information, and aims to provide a feasible real-time information acquisition model for network collaborative manufacturing of large-scale steel structure bridges, construct a steel structure bridge information model driven by events, and realize the acquisition function of key information elements in the steel structure bridge manufacturing process.
The invention aims to solve the problem of real-time information acquisition and monitoring in the manufacturing of the steel structure bridge, and in order to achieve the aim, the method for acquiring the manufacturing information of the steel structure bridge comprises the following steps:
step 1, building a coding system, building the coding system of the steel structure bridge by adopting a two-dimensional code technology, and performing two-dimensional code compilation on steel structure members/sections;
step 2, constructing an intelligent entity, and marking the two-dimensional code on a member of the steel structure bridge to obtain the intelligent entity;
step 3, establishing an information model, wherein the information model elements comprise a space position I, an event E, a state S and a process state S t Event time T and eventThe executor R establishes the relationship between the elements and the state flow, and the relationship between the space flow and the process flow;
and 4, information acquisition, namely updating and acquiring element information of the steel structure bridge information model corresponding to the two-dimensional code by identifying the two-dimensional code on the intelligent entity, and realizing monitoring and manufacturing information acquisition of state flow, space flow, process flow and the like of the intelligent entity.
Further, in step 3, the spatial position I represents a spatial position where the intelligent entity is located when the event occurs, and the spatial positions of the intelligent entity k are sequentially and incrementally represented as:
Figure BDA0001840535350000021
wherein the content of the first and second substances,
Figure BDA0001840535350000022
representing the position of an intelligent entity k at different time, wherein i is more than or equal to 1 and less than or equal to n;
the event E comprises the operation generated by the state conversion time node of the intelligent entity, so that the operation on the database is the mark of the event occurrence,
Figure BDA0001840535350000023
events j, j ═ 1,2,3,4,5,6 and 7 which represent the intelligent entity k on the space i respectively represent the events to be processed, the events in the process, the events finished the process, the events put in the warehouse, the events out of the warehouse, the events for transportation and the events for acceptance and the events
Figure BDA0001840535350000024
As a set of a series of operations,
Figure BDA0001840535350000025
in the formula (I), the compound is shown in the specification,
Figure BDA0001840535350000026
numbering the two-dimension codes;
Figure BDA0001840535350000027
the spatial position of the smart entity k is represented,
Figure BDA0001840535350000028
representing the instant of occurrence of event j of intelligent entity k on space i;
Figure BDA0001840535350000029
representing an actor for an occurrence j of a smart entity k in space i;
Figure BDA00018405353500000210
representing the intelligent entity k in m state on the space i; wherein m is 1,2,3,4,5,6,7, which respectively represents the states of waiting for processing, in processing, finished processing, stock, delivery, transportation and acceptance;
Figure BDA0001840535350000031
representing a process state of a smart entity k in a space i;
time of event
Figure BDA0001840535350000032
Indicating that a smart entity is in a state
Figure BDA0001840535350000033
Last duration, event time
Figure BDA0001840535350000034
Representing the instant of occurrence of event j of intelligent entity k on space i;
event performer
Figure BDA0001840535350000035
Representing an actor for intelligent entity k to occur event j in space i.
Furthermore, the process information of a certain state of the intelligent entity in the steel structure bridge information model is used
Figure BDA0001840535350000036
It is shown that the process of the present invention,
Figure BDA0001840535350000037
wherein the content of the first and second substances,
Figure BDA0001840535350000038
indicating the duration of a state;
for in the same space
Figure BDA0001840535350000039
The set of the above information is respectively expressed as:
Figure BDA00018405353500000310
Figure BDA00018405353500000311
and
Figure BDA00018405353500000312
further, spatial stream I k Expressed as:
Figure BDA00018405353500000313
further, a state flow S k Expressed as:
Figure BDA00018405353500000314
further, the process stream
Figure BDA00018405353500000315
Expressed as:
Figure BDA00018405353500000316
further, in step 1, encoding rules of construction resources in the engineering construction process model are used for encoding the two-dimensional code, and the encoding rules for establishing the steel structure bridge codes are as follows: item number major class code-middle class code, minor class code, fine class code, and building block code.
Compared with the prior art, the method has at least the following beneficial technical effects that the method can establish the steel structure bridge section/member intelligent entity based on the QR two-dimensional code on the basis of the establishment of the steel structure bridge coding system, establish a steel structure bridge information model driven by an event by defining factors such as the spatial position, the time and the like of the intelligent entity, and then update the information of the two-dimensional code by scanning the two-dimensional code at different stages, thereby realizing the acquisition and monitoring of key information factors in the manufacturing process of the steel structure bridge.
The invention refers to a BIM coding system, uses the coding rule of the construction resources in the engineering construction process model to compile the two-dimensional code, realizes the butt joint of the steel structure bridge construction process and the BIM technology, fills the blank that no unified standard exists for the steel structure bridge coding in the current engineering, and provides a basis for further realizing the informatization of the steel structure bridge construction process.
Furthermore, the construction of the intelligent entity of the steel structure bridge replaces the mode of manually finishing information recording in the manufacturing process of the steel structure bridge at present, the defects of low timeliness, poor accuracy and the like in the traditional information recording process are overcome, and the real-time performance and the reliability of information tracking in the construction process are improved. The steel structure bridge information model is established aiming at the specific process of the steel structure bridge, has universality in the construction process of the steel structure bridge, and plays a certain promoting role in gradually realizing the standardization of the construction of the steel structure bridge.
Drawings
FIG. 1 is a flow chart of steel structure bridge information model construction;
FIG. 2 is a steel structure bridge coding rule diagram;
FIG. 3 is a diagram of the working principle of a smart entity;
FIG. 4 is a state information diagram of a smart entity;
FIG. 5 is a spatial scene diagram of a smart entity;
FIG. 6 is an information model diagram of a steel structure bridge;
FIG. 7 is manufacturing requirement information of the steel structure bridge;
FIG. 8 is a manufacturing information collection memory map;
FIG. 9 is a statistical chart of information for a manufacturing process;
fig. 10 is a diagram of manufacturing process violation warnings.
Detailed Description
The invention is described in detail below with reference to the drawings and the detailed description.
The invention relates to a method for acquiring steel structure bridge manufacturing information, which comprises three stages of building a coding system, constructing an intelligent entity and establishing an information model, wherein the specific flow is shown in figure 1.
The implementation case is as follows: take the manufacturing process of a certain steel structure bridge S as an example. Item numbers 17-24K. Wherein the girder adopts the welding I-steel section. Six girder structures, four holes, 24 girder in total. The method has the advantages that the function of acquiring the manufacturing information of the steel structure bridge is achieved by establishing a simple prototype system, and the feasibility of the established model is verified.
1. Building a coding system
And selecting the first section of main beam as a research object, wherein the rest components are similar. In the BIM technical framework, a code system for establishing the steel structure bridge by adopting a QR two-dimensional code technology is shown in table 1, a coding rule of construction resources in an engineering construction process model is used for coding and identifying steel structure members/sections, a coding rule for the steel structure bridge coding is established to be xxxxxx xx-xx.xx.xx.xx, and the steel structure bridge coding is '17-24K 10-03.10.10.01' according to the picture 2.
TABLE 1
Categories of Code Means of
Large class 10 Bridge culvert
Class III 10-03 Superstructure
Subclass 10-03.10 Beam
Subclass of 10-03.20 Connecting system
Subclass of subclass 10-03.10.10 Main beam
Subclass of 10-03.10.11 Cross beam
Subclass of subclass 10-03.10.20 Transverse connecting system
Subclass of subclass 10-03.10.21 Longitudinal tie system
2. Constructing intelligent entities
Aiming at the defects of low timeliness, poor accuracy and the like existing in the process of recording handwritten information in the manufacturing process of a traditional steel structure bridge, a BIM technology is utilized to generate a two-dimensional code for a steel structure bridge member/segment, the two-dimensional code comprises the manufacturing process information of the steel structure bridge member/segment, then the two-dimensional code is identified to the corresponding member/segment to be manufactured, and at the moment, the member/segment and the two-dimensional code form an intelligent entity, as shown in figure 3.
The construction process of the intelligent entity also comprises two parts of determining the monitoring variable and defining the element.
The monitoring variables of the intelligent entity in the processing process mainly comprise state change and space position change. The state change can reflect the processing and manufacturing progress, the spatial position change can effectively monitor the processing and manufacturing process, meanwhile, the spatial position flow direction can be obtained in real time, and necessary information support is provided for the bridge construction.
The states of the intelligent entity include the following 6 states, and three typical working states are shown in fig. 4:
(1) state of waiting to be processed
And the intelligent entity enters the area to be processed, information is recorded and read before processing, necessary information such as processing requirements, required materials, processing equipment, execution standards and the like is obtained, and the information of the two-dimensional code of the intelligent entity is updated.
(2) In-process conditions
And after the intelligent entity passes through the state to be processed, the intelligent entity is sent into processing equipment, the two-dimensional code information updated by the state to be processed is read, processing is started, and the intelligent entity enters the state in processing. Meanwhile, the processing personnel record the name, the job number, the model of the used equipment and the state of the equipment and update the two-dimensional code information of the intelligent entity.
(3) State of completion of processing
And when the processing is finished and the two-dimensional code information is qualified after inspection, the two-dimensional code information updated by the state in the processing is read, and the intelligent entity is converted into the processing finished state. And waiting for the next processing when the processing state is finished, entering a state to be processed or stored, and updating the two-dimension code information of the intelligent entity.
(4) Stock and delivery status
The intelligent entity needs to be warehoused after the processing is finished. And reading the two-dimensional code information updated in the processing completion state when the two-dimensional code information is put in storage, and recording the two-dimensional code information which enters the storage state. And when the user leaves the warehouse, the same operation is executed, and the user enters a warehouse-out state. And updating the two-dimension code information of the intelligent entity during warehousing and ex-warehouse.
(5) Transport state
And when the intelligent entity is delivered from the warehouse, the updated two-dimension code information is read, and when the intelligent entity needs to be transported to a construction site for installation, the intelligent entity is transported by a professional logistics company. And after the intelligent entity is delivered from the warehouse and handed over to logistics personnel, the state is defined as a transportation state, and the two-dimension code information of the intelligent entity is updated.
(6) Acceptance status
After the steel structure bridge is transported to a construction site, a link of acceptance check exists. The professional finishes the acceptance link by scanning the two-dimensional code, and the intelligent entity enters an acceptance state.
The spatial position change of the intelligent entity mainly relates to three scenes, namely equipment, storage and transportation, as shown in fig. 5, wherein under the equipment and storage scenes, the intelligent entity does not have continuous change of spatial points. Under the transportation scene, the intelligent entity is bound with the transportation tool, and the spatial position is constantly changed. Since there is a corresponding relationship between the process and the equipment, the same equipment may correspond to multiple processes, but the flow of the process cannot reflect the flow of the actual spatial location, so the equipment and the process are coupled, i.e. the space ═ equipment ═ process, storage and transportation }, thereby forming a matching relationship between the space and the scene.
The elements of the intelligent entity are defined as follows:
defining one: spatial position I
And the spatial position I represents the spatial position of the intelligent entity when the event occurs, and the spatial position I is arranged and numbered according to the time sequence. The space position of the intelligent entity k is sequentially and gradually increased and expressed as
Figure 1
。
Definition II: event E
Event E comprises a series of operations on the intelligent entity to pass the dataThe operation of the library is a flag of the occurrence of an event.
Figure BDA0001840535350000072
Representing an event j that occurs on space i by a smart entity k. j is 1,2,3,4,5,6,7 respectively representing a to-be-processed event, a in-process event, a processing completion event, a warehousing event, a transportation event, and an acceptance event.
An event, as a set of a series of operations, can be described as:
Figure BDA0001840535350000073
in the formula:
Figure BDA0001840535350000074
numbering the two-dimension codes;
Figure BDA0001840535350000075
representing the instant of occurrence of event j of intelligent entity k on space i;
Figure BDA0001840535350000076
representing an actor to an occurrence j of a smart entity k on space i.
Defining three: state S
State S is a process quantity that represents the state of the intelligent entity within two events.
Figure BDA0001840535350000077
Indicating that smart entity k is in m-state in space i. Wherein m is 1,2,3,4,5,6,7 respectively representing the states of waiting to be processed, in processing, finished processing, stock, delivery, transportation and acceptance.
Defining four: event time T
Figure BDA0001840535350000078
Indicating that a smart entity is in a state
Figure BDA0001840535350000079
For the upper duration. Event time
Figure BDA00018405353500000710
Representing the instant of occurrence of event j of smart entity k on space i.
Defining five: event performer R
Event performer
Figure BDA0001840535350000081
Representing an actor for intelligent entity k to occur event j in space i.
Define six: process State S t
State of the art
Figure BDA0001840535350000082
Representing the process state of the intelligent entity k in space i.
3. Building information model
The steel structure bridge information model is driven by events, and the operation of the two-dimensional codes and the database is finished instantly, so that the two-dimensional codes and the database are regarded as one event. The state of the intelligent entity is a process quantity, and is judged by two continuous events, and the state is changed when the next event occurs.
For information of a state process
Figure BDA0001840535350000083
Expressed, abbreviated:
Figure BDA0001840535350000084
after unfolding and merging, the expression is:
Figure BDA0001840535350000085
wherein the content of the first and second substances,
Figure BDA0001840535350000086
indicating the duration of a certain state.
For in the same space
Figure BDA0001840535350000087
The set of the above information is respectively expressed as:
Figure BDA0001840535350000088
Figure BDA0001840535350000089
the information model of the steel structure bridge S includes process, state and spatial variation, as shown in fig. 6, the mathematical description of the information model is:
(1) the process flow, the space flow and the process flow are shared in the manufacturing process.
Spatial stream I k Expressed as:
Figure BDA00018405353500000810
state flow S k Expressed as:
Figure BDA00018405353500000811
process stream
Figure BDA00018405353500000812
Expressed as:
Figure BDA00018405353500000813
(2) total time of manufacture T k Equal to the sum of the durations of the various states, and equal to the end time of manufacture minus the start time of manufacture,
as shown in the following formula:
Figure BDA0001840535350000091
(3) the total production number set is a set of persons who perform processing and manufacturing, and includes a set of persons in each state, as shown in the following formula.
Figure BDA0001840535350000092
4. Platform verification
For research convenience, a Microsoft SQL Server database is used to store data information, and Microsoft Visual Studio Enterprise edition is used as a development platform. Firstly, recording monitoring variables and element information of an intelligent entity into a database, connecting the database with the web, corresponding the two-dimension code number to manufacturing information in the database, and establishing a corresponding data table according to the manufacturing requirement and the manufacturing information.
The manufacturing task is performed according to the manufacturing requirements. The manufacturing requirement information data table is shown in fig. 7. In the manufacturing process, the manufacturing process is recorded by scanning the two-dimensional code, an event is triggered, the manufacturing process is recorded in the form of the event, and information is stored in a database in real time. The collection and storage of manufacturing information is shown in fig. 8.
Part of the functions of the prototype system developed according to the steel bridge information model are as follows:
(1) information statistics
The statistical analysis of the currently recorded manufacturing information yields factors such as the manufacturing time, personnel, progress, etc. that are of interest to the current manufacturing process, and the result is shown in fig. 9.
(2) Violation operation determination
According to the manufacturing requirements, the steel structure is subjected to nondestructive testing by a class A qualification testing mechanism after being welded for 24 hours. At this time, the process of the present invention,
Figure BDA0001840535350000093
belonging to the violation, the platform issues a warning, as shown in FIG. 10.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.

Claims (7)

1. The method for acquiring the manufacturing information of the steel structure bridge is characterized by comprising the following steps of:
step 1, building a coding system, building the coding system of the steel structure bridge by adopting a two-dimensional code technology, and performing two-dimensional code compilation on steel structure components/sections;
step 2, constructing an intelligent entity, and marking the two-dimensional code on a member of the steel structure bridge to obtain the intelligent entity;
step 3, establishing an information model, wherein the information model elements comprise a space position I, an event E, a state S and a process state S t Event time T and event executor R, establishing the relationship between the above elements and state flow, space flow and process flow;
and 4, information acquisition, namely updating and acquiring element information of the steel structure bridge information model corresponding to the two-dimensional code by identifying the two-dimensional code on the intelligent entity, and realizing monitoring and manufacturing information acquisition of state flow, space flow, process flow and the like of the intelligent entity.
2. The method for acquiring the manufacturing information of the steel structure bridge according to claim 1, wherein in step 3, the spatial position I represents a spatial position where the intelligent entity is located when the event occurs, and the spatial positions of the intelligent entities k are sequentially and incrementally represented as:
Figure FDA0001840535340000011
wherein the content of the first and second substances,
Figure FDA0001840535340000012
representing the position of an intelligent entity k at different time, i is more than or equal to 1 and less than or equal to n;
the event E comprises the operation generated by the state conversion time node of the intelligent entity, so that the operation on the database is the mark of the event occurrence,
Figure FDA0001840535340000013
the method comprises the steps of representing events j, j-1, 2,3,4,5,6 and 7 of an intelligent entity k on a space i, respectively representing events to be processed, in-process events, processing completion events, warehousing events, ex-warehouse events, transportation events and acceptance events, and events
Figure FDA0001840535340000014
As a set of a series of operations to be performed,
Figure FDA0001840535340000015
in the formula (I), the compound is shown in the specification,
Figure FDA0001840535340000016
numbering the two-dimension codes;
Figure FDA0001840535340000017
the spatial position of the smart entity k is represented,
Figure FDA0001840535340000018
representing the instant of occurrence of event j of intelligent entity k on space i;
Figure FDA0001840535340000019
representing an actor for an occurrence j of a smart entity k in space i;
Figure FDA00018405353400000110
representing the intelligent entity k in m state on the space i; wherein m is 1,2,3,4,5,6,7, which respectively represents the states of waiting for processing, in processing, finished processing, stock, delivery, transportation and acceptance;
Figure FDA00018405353400000111
representing the process state of the intelligent entity k in the space i;
event time
Figure FDA00018405353400000112
Indicating that a smart entity is in a state
Figure FDA00018405353400000113
Last duration, event time
Figure FDA00018405353400000114
Representing the instant of occurrence of event j of intelligent entity k on space i;
event performer
Figure FDA0001840535340000021
Representing an actor for intelligent entity k to occur event j in space i.
3. The method of claim 2, wherein the process information of the intelligent entity in a certain state is used in the steel structure bridge information model
Figure FDA0001840535340000022
It is shown that,
Figure FDA0001840535340000023
wherein the content of the first and second substances,
Figure FDA0001840535340000024
indicates the duration of a state;
for in the same space
Figure FDA0001840535340000025
The set of the above information is respectively expressed as:
Figure FDA0001840535340000026
Figure FDA0001840535340000027
and
Figure FDA0001840535340000028
4. the method for collecting the manufacturing information of the steel structure bridge according to claim 3, wherein the spatial flow I is k Expressed as:
Figure FDA0001840535340000029
5. the method for collecting the manufacturing information of the steel structure bridge according to claim 1, wherein the state flow S is k Expressed as:
Figure FDA00018405353400000210
6. the method for acquiring the manufacturing information of the steel structure bridge according to claim 1, wherein the process flow is
Figure FDA00018405353400000211
Expressed as:
Figure FDA00018405353400000212
7. the method for acquiring the manufacturing information of the steel structure bridge according to claim 1, wherein in the step 1, the two-dimensional code is compiled by using a coding rule of the construction resources in the engineering construction process model, and the compiling rule aiming at the steel structure bridge code is established as follows: item number major class code-middle class code, minor class code, fine class code, and building block code.
CN201811246038.1A 2018-10-24 2018-10-24 Method for acquiring manufacturing information of steel structure bridge Active CN109408959B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811246038.1A CN109408959B (en) 2018-10-24 2018-10-24 Method for acquiring manufacturing information of steel structure bridge

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811246038.1A CN109408959B (en) 2018-10-24 2018-10-24 Method for acquiring manufacturing information of steel structure bridge

Publications (2)

Publication Number Publication Date
CN109408959A CN109408959A (en) 2019-03-01
CN109408959B true CN109408959B (en) 2022-09-27

Family

ID=65469038

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811246038.1A Active CN109408959B (en) 2018-10-24 2018-10-24 Method for acquiring manufacturing information of steel structure bridge

Country Status (1)

Country Link
CN (1) CN109408959B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110084570A (en) * 2019-05-07 2019-08-02 上海振华重工(集团)股份有限公司 A kind of crane follow-up of quality method and system
CN110990934B (en) * 2019-12-23 2024-02-02 北京工业大学 Digital twinning-based assembled awning beam method
CN111210199B (en) * 2020-01-03 2022-06-07 广西路桥工程集团有限公司 Bridge prefab BIM information management system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH096602A (en) * 1995-06-14 1997-01-10 Fujitsu Ltd Information storage method of integrated er model and software development process management system
CN104636873A (en) * 2015-02-11 2015-05-20 上海公路投资建设发展有限公司 Bridge precast concrete member monitoring system based on two-dimensional code and control method thereof
CN108648100A (en) * 2018-03-15 2018-10-12 江苏中铁山桥重工有限公司 A method of the bridge location weld information management based on BiM technologies

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH096602A (en) * 1995-06-14 1997-01-10 Fujitsu Ltd Information storage method of integrated er model and software development process management system
CN104636873A (en) * 2015-02-11 2015-05-20 上海公路投资建设发展有限公司 Bridge precast concrete member monitoring system based on two-dimensional code and control method thereof
CN108648100A (en) * 2018-03-15 2018-10-12 江苏中铁山桥重工有限公司 A method of the bridge location weld information management based on BiM technologies

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
BIM技术在大型钢桁架桥梁建设中的应用;李学文;《江西建材》;20170430(第08期);全文 *
基于BIM的桥梁工程建设管理系统的应用;杨江鹏等;《信息与电脑(理论版)》;20180915(第17期);全文 *

Also Published As

Publication number Publication date
CN109408959A (en) 2019-03-01

Similar Documents

Publication Publication Date Title
CN110909972B (en) BIM-based steel structure full life cycle management system and method
CN111210199B (en) Bridge prefab BIM information management system
CN109408959B (en) Method for acquiring manufacturing information of steel structure bridge
Perrier et al. Construction 4.0: A survey of research trends
CN109559069B (en) Production management method and device based on assembly type building platform and terminal equipment
Le et al. Development of deep learning model for the recognition of cracks on concrete surfaces
Zhong et al. Towards Physical Internet-enabled prefabricated housing construction in Hong Kong
Moon et al. Fourth industrialization-oriented offsite construction: case study of an application to an irregular commercial building
CN112685804A (en) Highway engineering design information-based WBS automatic construction method and system
Sacks et al. SeeBridge information delivery manual (IDM) for next generation bridge inspection
Lindhard et al. Improving the making ready process-exploring the preconditions to work tasks in construction
CN111028119A (en) Real estate data integration method based on GIS
KR20220000857A (en) Process management system and method using smart construction platform
Widyatmoko Digital transformation to improve quality, efficiency and safety in construction of roads incorporating recycled materials
CN110750688A (en) Bridge full life cycle BIM model information base construction method based on two-dimensional EBS coding
Puri et al. Toward automated dimensional quality control of precast concrete elements using design BIM
CN111274637B (en) BIM technology-based four-dimensional bridge information management system
Abbas et al. BuiltView: Integrating LiDAR and BIM for real-time quality control of construction projects
CN115660619A (en) Production management system and server based on BIM information management
Chileshe et al. Reverse Logistics (RL) implementation among contractors in Australia: Practices and barriers
CN114925048A (en) Natural resource full life cycle management method based on natural resource code and storage medium
Abideen et al. Digitalization of construction life cycle: A systematic review of building and reliability information modelling (BRIM)
Modegh An Evaluation of Waste in Steel Pipe Rack Installation
Faraji et al. IoT Core Applications in AEC: Investigation of the Most Compatible Technologies of Industry 4. 0
Fajarwanto et al. Managing Mega Project with Digital Construction Technology through Project Management Information System (PMIS) Dashboard: A Case Study of Trans Sumatera Toll Road Project

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant