CN111310272A - Building structure reinforcing, repairing and diagnosing system - Google Patents
Building structure reinforcing, repairing and diagnosing system Download PDFInfo
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- CN111310272A CN111310272A CN202010150758.9A CN202010150758A CN111310272A CN 111310272 A CN111310272 A CN 111310272A CN 202010150758 A CN202010150758 A CN 202010150758A CN 111310272 A CN111310272 A CN 111310272A
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- 230000003014 reinforcing effect Effects 0.000 title claims abstract description 18
- 230000002787 reinforcement Effects 0.000 claims abstract description 89
- 238000000034 method Methods 0.000 claims abstract description 42
- 238000010276 construction Methods 0.000 claims abstract description 35
- 238000003745 diagnosis Methods 0.000 claims abstract description 20
- 238000005516 engineering process Methods 0.000 claims abstract description 17
- 239000000463 material Substances 0.000 claims description 4
- 239000002994 raw material Substances 0.000 claims description 3
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Abstract
The invention discloses a building structure reinforcement repair diagnosis system which comprises a data acquisition module, a reinforcement repair technology database, an intelligent diagnosis module, a reinforcement repair scheme generation module and a reinforcement repair construction process demonstration module. The building structure reinforcement and repair diagnosis system achieves the purpose of safely, economically and efficiently reinforcing and repairing the building structure.
Description
Technical Field
The invention belongs to the technical field of building diagnosis systems, and particularly relates to a building structure reinforcing, repairing and diagnosing system.
Background
The building is exposed to the natural environment for a long time, and the following conditions are met in the using process: need to carry out the rebuilding and extension to original building, run into disastrous accident and lead to structural damage, design construction reason leads to the building to appear quality problems, the structure that loses to repair for a long time has the damage etc. building structure can change then need consolidate the restoration to the structure of building.
At present, a plurality of methods and technical research results related to building structure reinforcement and repair are provided, but various very specific reinforcement and repair methods, techniques, processes and equipment are basically provided aiming at the conditions of specific structure types, specific use environments, special construction conditions and the like, and the results can provide valuable reference values for the technical schemes of the same type of structure reinforcement and repair, but the following defects exist in the actual engineering operation:
(1) due to the fact that the building reinforcing technology is various, methods needed by different building structures are different, the reinforcing and repairing method for the specific building structure needs to be rapidly determined in a large number of methods and technologies, the difficulty is high, related standard specifications, building original data, similar engineering technology reference data and the like need to be consulted, the influence of various factors is comprehensively analyzed and considered, and related personnel are required to have strong professional knowledge capability and rich field experience.
(2) Most constructors lack relevant professional knowledge, understanding of professional construction technical schemes is difficult, construction operation is basically carried out by means of worker experience, and standard construction cannot be carried out; and some new reinforcement repair techniques are difficult to apply and implement due to inexperience.
Disclosure of Invention
The invention aims to: aiming at the existing problems, the invention provides the building structure reinforcing and repairing diagnosis system which overcomes the defect that the traditional construction process mostly depends on the experience of constructors for operation, is beneficial to improving the construction standardization and the reinforcing and repairing effect, and finally achieves the aim of safely, economically and efficiently reinforcing and repairing the building structure.
In order to achieve the above object, the present invention adopts the following technical solutions.
A building structure reinforcement repair diagnosis system comprises a data acquisition module, a reinforcement repair technology database, an intelligent diagnosis module, a reinforcement repair scheme generation module and a reinforcement repair construction process demonstration module;
the data acquisition module is used for acquiring relevant information of the reinforced and repaired structure part; the structure of the building is scanned and positioned by means of a total station and a 3D object scanner, and data are recorded into a data acquisition module by means of a chip.
The reinforcement restoration technology database is used for storing the structure reinforcement big data of the structure reinforcement restoration related standard;
the intelligent diagnosis module is used for sorting, analyzing and judging the related information acquired by the data acquisition module, comparing the related information with the content of the structural reinforcement and repair technology database and determining a reinforcement and repair technical scheme;
the reinforcement and repair scheme generation module is used for exporting the reinforcement and repair technical scheme generated by the intelligent diagnosis module;
and the reinforcement and repair construction process demonstration module is used for demonstrating data corresponding to the structure-adjusted reinforcement big data according to the exported reinforcement and repair technical scheme.
Furthermore, the related information acquired by the data acquisition module comprises the performance, type, application, working environment, damage condition and field picture of the raw material for reinforcing and repairing the part.
Further, the standard structure reinforced big data comprises:
(1) all current standards, norms, guidelines, and fine-rule normative documents related to structural reinforcement and repair;
(2) all traditional structure reinforcing and repairing methods and application ranges thereof, and some innovatively proposed reinforcing and repairing methods;
(3) various classic engineering cases for structural reinforcement and repair;
(4) and construction demonstration operation files of various structural reinforcement repair methods.
Furthermore, the intelligent diagnosis module adopts finite element analysis software to analyze and calculate data.
Further, the reinforcement and repair technical scheme comprises an engineering name, a reinforcement part, a standard specification of a basis, a reinforcement and repair method, a construction process flow, a safety technical measure, the type and quantity of reinforcement materials, construction tools and equipment and cautions.
Further, the construction demonstration operation file comprises actual operation videos and animation demonstration videos recorded on site.
Further, the data acquisition module is a data acquisition module developed based on an ADUC812 single chip microcomputer.
Furthermore, the reinforcement repair technology database is stored by adopting an Oracle database.
The invention has the beneficial effects that:
according to the method, the data acquisition module inputs the relevant data of the building structure to be reinforced and repaired into the system to acquire the most original data information, the data analysis module intelligently diagnoses the acquired relevant information, compares the information with the relevant information of a technical database, automatically searches feasible reinforcement and repair methods in the database, comprehensively compares and analyzes various feasible methods, and determines the most scientific, reasonable, economical and efficient scheme; then automatically generating a set of complete reinforcement and repair technical scheme; meanwhile, the whole construction operation flow can be vividly specified through the construction process demonstration module, and constructors can meet the requirement of standard construction only by operating according to the demonstration video. Utilize this intelligent diagnosis system can consolidate the restoration optimal scheme to building structure and carry out the quick determination, need not to rely on the professional to look up the data in a large number and can make the scheme after the integrated analysis, the system advances the demonstration to construction process, overcomes the defect that traditional work progress relies on constructor's experience to operate mostly, helps improving the standardization of construction and improves and consolidate prosthetic effect, finally realizes carrying out safe, economic, high-efficient prosthetic purpose of consolidating to building structure.
Drawings
FIG. 1 is a system framework diagram of the present invention.
Detailed Description
The technical solution of the present invention is further described below, but the scope of the claimed invention is not limited to the described.
As shown in fig. 1, a building structure reinforcement repair diagnosis system includes a data acquisition module, a reinforcement repair technology database, an intelligent diagnosis module, a reinforcement repair plan generation module, and a reinforcement repair construction process demonstration module;
the data acquisition module is used for acquiring relevant information of the reinforced and repaired structure part; the structure of the building is scanned and positioned by means of a total station and a 3D object scanner, and related information data are recorded into the data acquisition module by means of a chip.
The reinforcement restoration technology database is used for storing the structure reinforcement big data of the structure reinforcement restoration related standard;
the intelligent diagnosis module is used for sorting, analyzing and judging the related information acquired by the data acquisition module, comparing the related information with the content of the structural reinforcement and repair technology database and determining a reinforcement and repair technical scheme; the module carries out sorting intelligent analysis and judgment on the collected related information by adopting ANSYS software, establishes a structural damage model, compares damage data with the content of a structural reinforcement and repair technology database, automatically searches feasible reinforcement and repair methods in the database, carries out comprehensive comparison and analysis on a plurality of feasible methods, and determines the most scientific, reasonable, economic and efficient technical scheme; then a set of complete reinforcement and repair technical scheme is automatically generated.
The reinforcement and repair scheme generation module is used for exporting the reinforcement and repair technical scheme generated by the intelligent diagnosis module; the technical scheme comprises a series of contents such as engineering names, reinforced parts, standard specifications of bases, reinforced repairing methods, construction process flows, safety technical measures, the types and the quantity of reinforced materials, construction tools and equipment, cautions and the like.
And the reinforcement and repair construction process demonstration module is used for demonstrating data corresponding to the structure-adjusted reinforcement big data according to the exported reinforcement and repair technical scheme. After the reinforcement repair scheme is formed, the system can directly read a corresponding construction process demonstration file from a database, wherein the demonstration file mainly comprises a field recorded actual operation video or a manufactured animation demonstration video, and is used for simulating reference for normative construction during actual operation of workers.
The relevant information collected by the data acquisition module comprises the performance, type, application, working environment, damage condition and field picture of the raw material for reinforcing and repairing the part.
The standard structure reinforced big data comprises:
(1) all current standards, norms, guidelines, and fine-rule normative documents related to structural reinforcement and repair;
(2) all traditional structure reinforcing and repairing methods and application ranges thereof, and some innovatively proposed reinforcing and repairing methods;
(3) various classic engineering cases for structural reinforcement and repair;
(4) and construction demonstration operation files of various structural reinforcement repair methods. The intelligent diagnosis module adopts finite element analysis software to analyze and calculate data.
The reinforcement and repair technical scheme comprises an engineering name, a reinforcement part, a standard according to the engineering name, a reinforcement and repair method, a construction process flow, safety technical measures, the type and quantity of reinforcement materials, construction tools and equipment and cautions.
The construction demonstration operation file comprises actual operation videos and animation demonstration videos recorded on site.
The data acquisition module is developed based on an ADUC812 single chip microcomputer.
And the reinforcement repair technology database is stored by adopting an Oracle database.
Claims (8)
1. A building structure reinforcement repair diagnostic system is characterized in that: the system comprises a data acquisition module, a reinforcement and repair technology database, an intelligent diagnosis module, a reinforcement and repair scheme generation module and a reinforcement and repair construction process demonstration module;
the data acquisition module is used for acquiring relevant information of the reinforced and repaired structure part;
the reinforcement restoration technology database is used for storing the structure reinforcement big data of the structure reinforcement restoration related standard;
the intelligent diagnosis module is used for sorting, analyzing and judging the related information acquired by the data acquisition module, comparing the related information with the content of the structural reinforcement and repair technology database and determining a reinforcement and repair technical scheme;
the reinforcement and repair scheme generation module is used for exporting the reinforcement and repair technical scheme generated by the intelligent diagnosis module;
and the reinforcement and repair construction process demonstration module is used for demonstrating data corresponding to the structure-adjusted reinforcement big data according to the exported reinforcement and repair technical scheme.
2. The building structure reinforcement repair diagnostic system of claim 1, wherein: the related information acquired by the data acquisition module comprises the performance, type, application, working environment, damage condition and field picture of the raw material for reinforcing and repairing the part.
3. The architectural reinforcement repair diagnostic system of claim 1, wherein the standard structural reinforcement big data comprises:
(1) all current standards, norms, guidelines, and fine-rule normative documents related to structural reinforcement and repair;
(2) all traditional structure reinforcing and repairing methods and application ranges thereof, and some innovatively proposed reinforcing and repairing methods;
(3) various classic engineering cases for structural reinforcement and repair;
(4) and construction demonstration operation files of various structural reinforcement repair methods.
4. The building structure reinforcement repair diagnostic system of claim 1, wherein: the intelligent diagnosis module adopts finite element analysis software to analyze and calculate data.
5. The building structure reinforcement repair diagnostic system of claim 1, wherein: the reinforcement and repair technical scheme comprises an engineering name, a reinforcement part, a standard according to the engineering name, a reinforcement and repair method, a construction process flow, safety technical measures, the type and quantity of reinforcement materials, construction tools and equipment and cautions.
6. The diagnostic system for reinforcement repair of a building structure according to claim 3, wherein: the construction demonstration operation file comprises actual operation videos and animation demonstration videos recorded on site.
7. The building structure reinforcement repair diagnostic system of claim 1, wherein: the data acquisition module is developed based on an ADUC812 single chip microcomputer.
8. The building structure reinforcement repair diagnostic system of claim 1, wherein: and the reinforcement repair technology database is stored by adopting an Oracle database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010150758.9A CN111310272A (en) | 2020-03-06 | 2020-03-06 | Building structure reinforcing, repairing and diagnosing system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010150758.9A CN111310272A (en) | 2020-03-06 | 2020-03-06 | Building structure reinforcing, repairing and diagnosing system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113958369A (en) * | 2021-11-10 | 2022-01-21 | 重庆科技学院 | Tunnel lining structure health monitoring method and system based on digital twinning |
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2020
- 2020-03-06 CN CN202010150758.9A patent/CN111310272A/en active Pending
Patent Citations (2)
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| JP2001306669A (en) * | 2000-04-17 | 2001-11-02 | Asahi Kasei Corp | System and method for house diagnosis |
| CN105844416A (en) * | 2016-03-28 | 2016-08-10 | 国网江苏省电力公司电力科学研究院 | Integrated date management system for analyzing fault defects of substation equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113958369A (en) * | 2021-11-10 | 2022-01-21 | 重庆科技学院 | Tunnel lining structure health monitoring method and system based on digital twinning |
| CN113958369B (en) * | 2021-11-10 | 2023-10-20 | 重庆科技学院 | Tunnel lining structure health monitoring method and system based on digital twinning |
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Application publication date: 20200619 |