CN112329108A - Optimized anti-floating checking calculation method and system for subway station - Google Patents
Optimized anti-floating checking calculation method and system for subway station Download PDFInfo
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- CN112329108A CN112329108A CN202011228491.7A CN202011228491A CN112329108A CN 112329108 A CN112329108 A CN 112329108A CN 202011228491 A CN202011228491 A CN 202011228491A CN 112329108 A CN112329108 A CN 112329108A
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Abstract
The invention discloses an optimized anti-floating checking calculation method and system for a subway station, which adopts the technical scheme that: the method comprises the steps of obtaining anti-floating checking calculation parameters; classifying and analyzing the anti-floating checking calculation parameters to determine basic parameters; and inputting the basic parameters into an anti-floating checking system, and outputting an anti-floating checking result. The method can solve the problem of inaccurate anti-floating checking result caused by excessive anti-floating checking parameter quantity, and can improve the anti-floating checking efficiency and accuracy.
Description
Technical Field
The invention relates to the technical field of subway station construction, in particular to an optimized anti-floating checking calculation method and system for a subway station.
Background
The subway station anti-floating checking calculation refers to anti-floating safety checking calculation performed under the water geological condition of a station, and the basic principle is that the ratio of the weight (namely the weight generated by the weight of earth covering on the station and the station) to the buoyancy generated by water is not less than the anti-floating safety coefficient, so that the station cannot rise or incline due to the buoyancy of the water in the construction and operation processes, and the safety problem is caused.
The inventor finds that the existing anti-floating checking method has the problems of excessive input parameters, poor intuition and incapability of issuing a calculation book; too many parameters bring about the problem of easy input error, so that the anti-floating checking result of the station is inaccurate; poor intuitiveness brings difficulty to the inspection result, the reason that the checking calculation cannot pass cannot be quickly analyzed, and troubles are brought to the anti-floating design of the station; the failure of issuing a calculation book causes low calculation efficiency and failure of standardizing the result, and is not beneficial to the accurate examination of the anti-floating checking calculation result of the station.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an optimized anti-floating checking calculation method and system for a subway station, which can solve the problem of inaccurate anti-floating checking calculation result caused by excessive anti-floating checking calculation parameters and can improve the anti-floating checking calculation efficiency and accuracy.
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, an embodiment of the present invention provides an optimized anti-floating verification method for a subway station, including:
acquiring anti-floating checking calculation parameters;
classifying and analyzing the anti-floating checking calculation parameters to determine basic parameters;
and inputting the basic parameters into an anti-floating checking system, and outputting an anti-floating checking result.
As a further implementation mode, classification analysis is carried out on the anti-floating checking calculation parameters according to the mutual relation, so that the number of the parameters input into the anti-floating checking calculation system is reduced.
As a further implementation, the basic parameters include a station type and a main station size.
As a further implementation mode, after the type of the station is determined, other parameters except the basic parameters are obtained through calculation according to the relation between the parameters and the main size of the station.
As a further implementation, the station major dimensions are obtained by measurement.
As a further implementation, key elements affecting the anti-floating problem can be found by modifying the basic parameters.
As a further implementation mode, the calculation book can be directly issued according to the anti-floating checking calculation result.
In a second aspect, an embodiment of the present invention further provides an optimized anti-floating checking system for a subway station, including:
a parameter acquisition module configured to: acquiring anti-floating checking calculation parameters;
a parameter analysis module configured to: classifying and analyzing the anti-floating checking calculation parameters to determine basic parameters;
a result output module configured to: and inputting the basic parameters into an anti-floating checking system, and outputting an anti-floating checking result.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program that is stored in the memory and is executable on the processor, where the processor implements the method for optimizing anti-floating verification of a subway station when executing the program.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for optimizing anti-floating verification calculation for a subway station.
The beneficial effects of the above-mentioned embodiment of the present invention are as follows:
(1) according to one or more embodiments of the invention, the anti-floating checking calculation parameters are classified and analyzed according to the mutual relations, so that the number of input parameters can be reduced, the input is simplified, and the anti-floating checking calculation efficiency is improved; compared with the traditional processing mode, the method can save about one time of calculation time and reduce the error occurrence rate;
(2) according to one or more embodiments of the invention, the data is input into the anti-floating checking calculation system, so that a calculation book can be issued directly, the efficiency of issuing calculation results is improved, and the standardization degree of the results is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow diagram in accordance with one or more embodiments of the invention;
FIG. 2 is an anti-float checking system architecture diagram in accordance with one or more embodiments of the present invention;
FIG. 3 is a functional block diagram of an anti-floating verification system in accordance with one or more embodiments of the invention;
FIG. 4 is a flow diagram of the operation of a floating verification system in accordance with one or more embodiments of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Basic parameters: the parameters can be used as the calculation basis, and other parameters can be obtained by calculating the relation with the parameters.
The first embodiment is as follows:
the embodiment of the invention provides an optimized anti-floating checking method for a subway station, which comprises the following steps of:
acquiring anti-floating checking calculation parameters;
classifying and analyzing the anti-floating checking calculation parameters to determine basic parameters;
and inputting the basic parameters into an anti-floating checking system, and outputting an anti-floating checking result.
Specifically, the anti-floating check calculation parameters can be obtained by the conventional means in the field, and then the anti-floating check calculation parameters are classified and analyzed according to the mutual relationship between the anti-floating check calculation parameters and the basic parameters, so as to determine the basic parameters; the number of input parameters can be reduced, and the input is simplified.
The basic parameters comprise station types (such as single-column double-span, double-column three-span and the like) and main station dimensions (such as station skin dimension, plate thickness and the like), and after the station types are determined, other parameters such as column height and concrete volume of a beam protruding plate part can be calculated based on the sizes of related components (such as station column net height and the like) through the main station dimensions (such as station outer dimension, plate thickness and the like).
Furthermore, the net height h (h is a-b) of the column can be determined according to the size (a) of the outer skin of the station and the height (b) of the beam of the station, so that the value of the column height is omitted; the calculation method is intuitive, and key elements influencing the anti-floating problem can be found out by modifying the basic parameters.
As shown in fig. 2 to 4, the anti-floating checking system may be divided into a menu bar module, a layer number selection module, a section size module, a conventional parameter module, and a result output module, where the menu bar module, the layer number selection module, the section size module, and the conventional parameter module are used to input anti-floating checking parameters, and the anti-floating checking parameters are processed and then output through the result output module.
In the embodiment, the sizes of the components are classified, and the sizes of the related components can be obtained by calculating the basic size of a station, so that the data input amount is reduced; and the basic size parameters of the station are visually displayed through the anti-floating checking calculation system, a calculation book can be directly issued, the efficiency of issuing calculation results is improved, and the standardization degree of the results is improved.
Example two:
the embodiment of the invention also provides an optimized anti-floating checking calculation system for a subway station, which comprises the following steps:
a parameter acquisition module configured to: acquiring anti-floating checking calculation parameters;
a parameter analysis module configured to divide the floating resistance into: classifying and analyzing the anti-floating checking calculation parameters to determine basic parameters;
a result output module configured to: and inputting the basic parameters into an anti-floating checking system, and outputting an anti-floating checking result.
Example three:
the embodiment of the invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program in a time-sharing manner to realize the subway station optimization anti-floating checking calculation method in the embodiment.
Example four:
the embodiment of the invention also provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for optimizing anti-floating checking calculation of the subway station is realized.
The steps involved in the second to fourth embodiments correspond to the first embodiment of the method, and the detailed description thereof can be found in the relevant description of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media containing one or more sets of instructions; it should also be understood to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any of the methods of the present invention.
Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using general purpose computer means, or alternatively, they can be implemented using program code that is executable by computing means, such that they are stored in memory means for execution by the computing means, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps of them are fabricated into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. An optimized anti-floating checking calculation method for a subway station is characterized by comprising the following steps:
acquiring anti-floating checking calculation parameters;
classifying and analyzing the anti-floating checking calculation parameters to determine basic parameters;
and inputting the basic parameters into an anti-floating checking system, and outputting an anti-floating checking result.
2. The optimized anti-floating verification method for the subway station as claimed in claim 1, wherein the anti-floating verification parameters are classified and analyzed according to the correlation so as to reduce the number of parameters inputted into the anti-floating verification system.
3. The optimized anti-floating checking calculation method for the subway station as claimed in claim 1, wherein said basic parameters include station type and main station size.
4. The optimized anti-floating checking method for the subway station as claimed in claim 1 or 3, wherein after the station type is determined, other parameters except the basic parameter are calculated by the relation between the parameters and the main size of the station.
5. The optimized anti-floating checking calculation method for the subway station as claimed in claim 3, wherein said main station size is obtained by measurement.
6. The optimized anti-floating checking calculation method for the subway station as claimed in claim 1, wherein the key elements affecting the anti-floating problem can be found out by modifying the basic parameters.
7. The optimized anti-floating checking calculation method for the subway station as claimed in claim 1, wherein a calculation book can be issued directly according to the anti-floating checking calculation result.
8. An optimized anti-floating checking system for a subway station, comprising:
a parameter acquisition module configured to: acquiring anti-floating checking calculation parameters;
a parameter analysis module configured to: classifying and analyzing the anti-floating checking calculation parameters to determine basic parameters;
a result output module configured to: and inputting the basic parameters into an anti-floating checking system, and outputting an anti-floating checking result.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for optimizing anti-float verification of a subway station as claimed in any one of claims 1-7 when executing the program.
10. A computer-readable storage medium on which a computer program is stored, the program, when being executed by a processor, implementing the method for optimized float-proof calculation of a subway station as claimed in any one of claims 1 to 7.
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| CN202011228491.7A CN112329108B (en) | 2020-11-06 | 2020-11-06 | Subway station optimization anti-floating checking calculation method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818565A (en) * | 2021-02-26 | 2021-05-18 | 同济大学建筑设计研究院(集团)有限公司 | BIM technology-based underground water pool anti-floating checking calculation method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102541738A (en) * | 2011-12-28 | 2012-07-04 | 华中科技大学 | Method for accelerating soft error resistance test of multi-core CPUs (central processing units) |
| CN105677955A (en) * | 2015-12-31 | 2016-06-15 | 青建集团股份公司 | Foundation pit stability checking computation method based on excavation real-time data feedback |
| CN106644495A (en) * | 2016-09-30 | 2017-05-10 | 安徽江淮汽车集团股份有限公司 | Electric vehicle performance parameter sensitivity analysis method |
| CN107748828A (en) * | 2017-11-10 | 2018-03-02 | 重庆建工住宅建设有限公司 | Construction equipment template and scaffolding work BIM application processes |
| CN108532647A (en) * | 2018-04-19 | 2018-09-14 | 济南轨道交通集团有限公司 | A kind of structure and method of the antiseismic liquefaction uplifting in subway station |
| CN208685678U (en) * | 2018-07-04 | 2019-04-02 | 广州地铁设计研究院股份有限公司 | A kind of float Structure of subway station |
| CN109657422A (en) * | 2019-02-26 | 2019-04-19 | 中铁十二局集团有限公司 | The detail design method and detail design device of frost wall in tunnel |
| CN110349246A (en) * | 2019-07-17 | 2019-10-18 | 广西师范大学 | A method of applied to the reconstruct distortion factor for reducing viewpoint in light field drafting |
| CN111737135A (en) * | 2020-06-24 | 2020-10-02 | 泰康保险集团股份有限公司 | General test method, device, equipment and storage medium for trusted system |
-
2020
- 2020-11-06 CN CN202011228491.7A patent/CN112329108B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102541738A (en) * | 2011-12-28 | 2012-07-04 | 华中科技大学 | Method for accelerating soft error resistance test of multi-core CPUs (central processing units) |
| CN105677955A (en) * | 2015-12-31 | 2016-06-15 | 青建集团股份公司 | Foundation pit stability checking computation method based on excavation real-time data feedback |
| CN106644495A (en) * | 2016-09-30 | 2017-05-10 | 安徽江淮汽车集团股份有限公司 | Electric vehicle performance parameter sensitivity analysis method |
| CN107748828A (en) * | 2017-11-10 | 2018-03-02 | 重庆建工住宅建设有限公司 | Construction equipment template and scaffolding work BIM application processes |
| CN108532647A (en) * | 2018-04-19 | 2018-09-14 | 济南轨道交通集团有限公司 | A kind of structure and method of the antiseismic liquefaction uplifting in subway station |
| CN208685678U (en) * | 2018-07-04 | 2019-04-02 | 广州地铁设计研究院股份有限公司 | A kind of float Structure of subway station |
| CN109657422A (en) * | 2019-02-26 | 2019-04-19 | 中铁十二局集团有限公司 | The detail design method and detail design device of frost wall in tunnel |
| CN110349246A (en) * | 2019-07-17 | 2019-10-18 | 广西师范大学 | A method of applied to the reconstruct distortion factor for reducing viewpoint in light field drafting |
| CN111737135A (en) * | 2020-06-24 | 2020-10-02 | 泰康保险集团股份有限公司 | General test method, device, equipment and storage medium for trusted system |
Non-Patent Citations (3)
| Title |
|---|
| 刘伯鹍 等: ""某地铁车站抗浮设计研究"", 《建筑技术》 * |
| 武可: ""改善参数过多的方法"", 《HTTPS://WWW.JIANSHU.COM/P/E1810FDF5D11》 * |
| 钱盛华: ""某水厂池体抗浮验算分析与处理"", 《福建建材》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818565A (en) * | 2021-02-26 | 2021-05-18 | 同济大学建筑设计研究院(集团)有限公司 | BIM technology-based underground water pool anti-floating checking calculation method |
| CN112818565B (en) * | 2021-02-26 | 2022-07-12 | 同济大学建筑设计研究院(集团)有限公司 | BIM technology-based underground water pool anti-floating checking calculation method |
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