CN114037299A - Monitoring method for building bridge construction - Google Patents

Monitoring method for building bridge construction Download PDF

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CN114037299A
CN114037299A CN202111349499.3A CN202111349499A CN114037299A CN 114037299 A CN114037299 A CN 114037299A CN 202111349499 A CN202111349499 A CN 202111349499A CN 114037299 A CN114037299 A CN 114037299A
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CN114037299B (en
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黄世斌
梁鑫
陈进良
吴宇鸿
黄忠翔
何柏灵
黄镇谨
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Guangxi Shuangjian Engineering Consulting Co ltd
Guangxi University of Science and Technology
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Abstract

The invention discloses a monitoring method for building bridge construction, which is used for acquiring environmental information and material information of bridge construction; carrying out value marking and statistics on various data in the environment information to obtain first processing information; carrying out value marking and statistics on each item of data in the material information to obtain second processing information; matching and calculating the first processing information and the second processing information through a pre-constructed bridge construction model to obtain an environment training value and a construction training value; the environment training value and the construction training value are combined to obtain a construction monitoring value; analyzing the construction monitoring value to obtain a construction monitoring set; the method is used for solving the technical problem that the monitoring accuracy is poor because the construction of the building bridge is not monitored and analyzed based on the environment aspect and the material aspect in the existing scheme.

Description

Monitoring method for building bridge construction
Technical Field
The invention relates to the technical field of building bridge construction, in particular to a monitoring method for building bridge construction.
Background
The bridge construction refers to a process of building a bridge according to design contents; mainly refers to the contents of bridge construction technology, construction organization, construction management, construction quality and the like. The pier stud is used as an important component of the bridge, and the appearance design and quality management of the pier stud have profound influence on the overall stability of the bridge. The management of the appearance construction quality of the reinforced bridge pier column is based on the management of raw materials, the management of constructors and the management of construction processes, and corresponding solutions are made for the phenomena of pitted surface, bubbles, honeycombs and watermarks, so that the appearance of the bridge pier column can meet basic requirements.
The existing monitoring method for building bridge construction has the following defects: the construction of the building bridge is not monitored and analyzed simultaneously on the basis of the environment aspect and the material aspect, so that the monitoring accuracy is poor.
Disclosure of Invention
The invention aims to provide a monitoring method for building bridge construction, which solves the following technical problems: how to solve in the current scheme not based on the aspect of environment and material simultaneously to the construction of building bridge monitor analysis, lead to the not good technical problem of accuracy of monitoring.
The purpose of the invention can be realized by the following technical scheme:
a monitoring method for building bridge construction specifically comprises the following steps:
acquiring environmental information and material information of bridge construction;
carrying out value marking and statistics on various data in the environment information to obtain first processing information; carrying out value marking and statistics on each item of data in the material information to obtain second processing information;
matching and calculating the first processing information and the second processing information through a pre-constructed bridge construction model to obtain an environment training value and a construction training value;
the environment training value and the construction training value are combined to obtain a construction monitoring value;
and analyzing the construction monitoring value to obtain a construction monitoring set.
Further, the specific steps of performing value marking and statistics on each item of data in the environment information include:
receiving environmental information, acquiring water body data and geological data, extracting a water depth value, a water velocity value and a water quality type in the water body data, respectively taking values and marking the water depth value and the water velocity value, and marking the water depth value as SS; marking the water speed value as SL; marking the water quality type and acquiring a corresponding water correlation value; marking the water quality type as SZ; setting different water quality types to correspond to different water quality associated values, matching the water quality types in the environmental information with all the water quality types to obtain corresponding water quality associated values, and marking the corresponding water quality associated values as SZG;
acquiring a geological type and a geological depth in geological data, and marking the geological type as DL; setting different geological types to correspond to different geological preset values, matching the geological types in the geological data with all the geological types to obtain corresponding geological preset values, and marking the geological preset values as DLY; taking a value of the geological depth and marking the value as DZS;
and classifying and combining the marked data to obtain first processing information.
Further, the specific steps of performing value marking and statistics on each item of data in the material information include:
receiving material information, acquiring cement data, concrete data and pouring data, extracting the type and hardness of cement in the cement data, and marking the type of the cement as SNL; setting different cement types to correspond to different cement associated values, matching the cement types in the cement data with all the cement types to obtain corresponding cement associated values, and marking the corresponding cement associated values as SNG; obtaining a cement grade corresponding to the cement hardness and marking the cement grade as SND; setting different cement grades to correspond to different grade preset values, matching the cement grades in the cement data with all the cement grades to obtain corresponding grade preset values, and marking the grade preset values as SDY;
extracting concrete proportion in the concrete data, and taking the value of the concrete proportion and marking the value as HPB; extracting the pouring quality in the pouring data, and taking the value of the pouring quality and marking the value as JZZ;
and classifying and combining the marked data to obtain second processing information.
Further, the concrete step of performing matching calculation on the first processing information and the second processing information through a pre-constructed bridge construction model comprises:
receiving various data marked in the first processing information and the second processing information, carrying out normalization processing, inputting various data in the first processing information into a pre-constructed bridge construction model for training, and training through an environment training function in the bridge construction model
Figure BDA0003355387900000031
Calculating various data in the first processing information to obtain an environment training value; wherein alpha is expressed as a water quality correction factor, the value is 0.565834, mu is expressed as a geological correction factor, the value is 2.483652, a1 and a2 are expressed as different proportionality coefficients, SZG is expressed as a water quality related value corresponding to a water quality type, SS is expressed as a water depth value, SL is expressed as a water velocity value, DLY is expressed as a geological preset value corresponding to a geological type, and DZS is expressed as a geological depth;
inputting various data in the second processing information into a pre-constructed bridge construction model for training, and training through a material training function in the bridge construction model
Figure BDA0003355387900000032
Calculating various data in the second processing information to obtain a construction training value; wherein beta is expressed as a material correction factor and takes the values of 0.846581, b1, b2 and b3The concrete pouring quality is expressed as different proportionality coefficients, SNG is expressed as a cement related value corresponding to the type of cement, SDY is expressed as a grade preset value corresponding to the grade of the cement, SNZ is expressed as the quality of the cement, HPB is expressed as the concrete proportion, HNZ is expressed as the quality of the concrete, and JZZ is expressed as the pouring quality.
Further, the concrete steps of combining the environmental training value and the construction training value comprise:
obtaining an environment training value HJX and a construction training value SCX, and utilizing a formula
Figure BDA0003355387900000041
Calculating to obtain a construction supervision value; wherein g1 and g2 are represented as different scaling factors.
Further, the concrete steps of analyzing the construction supervision value include:
obtaining the type of a building bridge and marking the type as QL; setting different bridge types to correspond to different bridge preset values, matching the marked bridge types with all the bridge types to obtain corresponding bridge preset values, and marking the corresponding bridge preset values as QLY; using formulas
Figure BDA0003355387900000042
Calculating to obtain a specified value of the pier stud; c1, c2 and c3 are expressed as different proportionality coefficients, and DS is expressed as the total number of the pier studs;
matching the planning value with a preset planning table to obtain a corresponding planning threshold, calculating a ratio between the construction monitoring value and the planning threshold, obtaining an integer part of the ratio and marking the integer part as P, matching the P with a preset construction grade and generating a construction monitoring set, wherein the method comprises the following steps: if P belongs to the first grade, generating a first monitoring signal; if P belongs to the second level, generating a second monitoring signal; if P belongs to the third level, generating a third monitoring signal; the first monitoring signal, the second monitoring signal and the third monitoring signal form a construction monitoring set; the construction grade comprises a first grade, a second grade and a third grade, and the value range of the first grade is [ k, k + n ]; the value range of the second grade is [ k + n, k + kn ]; the third level has a value range of [ k + kn, + ∞ ], and k and n are positive integers.
The invention has the beneficial effects that:
the method comprises the steps of obtaining environmental information and material information of bridge construction; carrying out value marking and statistics on various data in the environment information to obtain first processing information; carrying out value marking and statistics on each item of data in the material information to obtain second processing information; matching and calculating the first processing information and the second processing information through a pre-constructed bridge construction model to obtain an environment training value and a construction training value; the environment training value and the construction training value are combined to obtain a construction monitoring value; analyzing the construction monitoring value to obtain a construction monitoring set; carry out the integrated analysis from the external environment factor of building bridge construction and the material factor of self through gathering environmental information and material information for improve the accuracy of monitoring, through carrying out value mark and statistics with each item data of gathering, make each item data standardization and normalization, be convenient for through calculating to link between each item data and stand from outside and inside two aspects to monitoring analysis to the construction of pier stud in the building bridge, can improve the accuracy of construction monitoring and can acquire the quality condition of the pier stud of construction.
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The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a monitoring method for building bridge construction according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, 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.
Referring to fig. 1, the present invention is a monitoring method for building bridge construction, which includes the following steps:
acquiring environmental information and material information of bridge construction, wherein the environmental information comprises water body data and geological data, and the material information comprises cement data, concrete data and pouring data;
carrying out value marking and statistics on various data in the environment information to obtain first processing information; the method comprises the following specific steps:
receiving environmental information, acquiring water body data and geological data, extracting a water depth value, a water velocity value and a water quality type in the water body data, respectively taking values and marking the water depth value and the water velocity value, and marking the water depth value as SS; marking the water speed value as SL; marking the water quality type and acquiring a corresponding water correlation value; marking the water quality type as SZ; setting different water quality types to correspond to different water quality associated values, matching the water quality types in the environmental information with all the water quality types to obtain corresponding water quality associated values, and marking the corresponding water quality associated values as SZG;
acquiring a geological type and a geological depth in geological data, and marking the geological type as DL; setting different geological types to correspond to different geological preset values, matching the geological types in the geological data with all the geological types to obtain corresponding geological preset values, and marking the geological preset values as DLY; taking a value of the geological depth and marking the value as DZS; the environment information comprises water body data and geological data, and effective data support can be provided when the overall condition of the external environment is analyzed by acquiring the water body condition and the geological condition and carrying out marking processing;
classifying and combining the marked data to obtain first processing information;
carrying out value marking and statistics on each item of data in the material information to obtain second processing information; the method comprises the following specific steps:
receiving material information, acquiring cement data, concrete data and pouring data, extracting the type and hardness of cement in the cement data, and marking the type of the cement as SNL; setting different cement types to correspond to different cement associated values, matching the cement types in the cement data with all the cement types to obtain corresponding cement associated values, and marking the corresponding cement associated values as SNG; obtaining a cement grade corresponding to the cement hardness and marking the cement grade as SND; setting different cement grades to correspond to different grade preset values, matching the cement grades in the cement data with all the cement grades to obtain corresponding grade preset values, and marking the grade preset values as SDY;
extracting concrete proportion in the concrete data, and taking the value of the concrete proportion and marking the value as HPB; extracting the pouring quality in the pouring data, and taking the value of the pouring quality and marking the value as JZZ;
classifying and combining the marked data to obtain second processing information; the pier column for bridge construction generally uses raw materials such as cement, concrete and fine aggregate, and the pouring quality refers to the weight of the raw materials during pouring; the proportion of the concrete is related to the quality problem of the concrete, and is more concerned with the use of the performances of compression resistance, earthquake resistance and the like of bridge engineering, so that the proportion of the concrete is well held, and the concrete has very important significance for the quality of the bridge engineering; the brand and hardness of cement also affect the quality of the pier stud, so the cement data, concrete data and pouring data are collected to be processed and counted from the factors of the concrete.
In the embodiment of the invention, the collected environmental information and material information are marked and counted, so that various data are standardized and are convenient to calculate, and the purpose of improving the monitoring accuracy is achieved by comprehensively analyzing the external environmental factors and the material factors of the construction of the building bridge.
Matching and calculating the first processing information and the second processing information through a pre-constructed bridge construction model to obtain an environment training value and a construction training value; the method comprises the following specific steps:
receiving various data marked in the first processing information and the second processing information, carrying out normalization processing, inputting various data in the first processing information into a pre-constructed bridge construction model for training, and training through an environment training function in the bridge construction model
Figure BDA0003355387900000071
Calculating various data in the first processing information to obtain an environment training value;wherein alpha is expressed as a water quality correction factor, the value is 0.565834, mu is expressed as a geological correction factor, the value is 2.483652, a1 and a2 are expressed as different proportionality coefficients, SZG is expressed as a water quality related value corresponding to a water quality type, SS is expressed as a water depth value, SL is expressed as a water velocity value, DLY is expressed as a geological preset value corresponding to a geological type, and DZS is expressed as a geological depth;
inputting various data in the second processing information into a pre-constructed bridge construction model for training, and training through a material training function in the bridge construction model
Figure BDA0003355387900000072
Calculating various data in the second processing information to obtain a construction training value; wherein beta is expressed as a material correction factor, the value of beta is 0.846581, b1, b2 and b3 are expressed as different proportionality coefficients, SNG is expressed as a cement related value corresponding to the type of cement, SDY is expressed as a grade preset value corresponding to the grade of cement, SNZ is expressed as the quality of cement, HPB is expressed as the proportion of concrete, HNZ is expressed as the quality of concrete, and JZZ is expressed as the pouring quality;
in the embodiment of the invention, the processed environmental information and the material information are trained and calculated, so that the relation among all the data is established to facilitate the overall analysis, the environmental information is integrally analyzed through the environmental training value, the material information is integrally analyzed through the construction training value, and the support is provided for the analysis of all the factors based on the collected and processed multiple data.
The environment training value and the construction training value are combined to obtain a construction monitoring value; the method comprises the following specific steps:
obtaining an environment training value HJX and a construction training value SCX, and utilizing a formula
Figure BDA0003355387900000081
Calculating to obtain a construction supervision value; wherein g1 and g2 are represented as different scaling factors;
analyzing the construction monitoring value to obtain a construction monitoring set, wherein the specific steps comprise:
obtaining and marking type of building bridgeIs recorded as QL; setting different bridge types to correspond to different bridge preset values, matching the marked bridge types with all the bridge types to obtain corresponding bridge preset values, and marking the corresponding bridge preset values as QLY; using formulas
Figure BDA0003355387900000082
Calculating to obtain a specified value of the pier stud; c1, c2 and c3 are expressed as different proportionality coefficients, and DS is expressed as the total number of the pier studs;
matching the planning value with a preset planning table to obtain a corresponding planning threshold, calculating a ratio between the construction monitoring value and the planning threshold, obtaining an integer part of the ratio and marking the integer part as P, matching the P with a preset construction grade and generating a construction monitoring set, wherein the method comprises the following steps: if the P belongs to the first grade, judging that the construction quality is unqualified, and generating a first monitoring signal; if the P belongs to the second grade, judging that the construction quality is qualified, and generating a second monitoring signal; if P belongs to the third grade and the construction quality is judged to be excellent, a third monitoring signal is generated; the first monitoring signal, the second monitoring signal and the third monitoring signal form a construction monitoring set; the construction grade comprises a first grade, a second grade and a third grade, and the value range of the first grade is [ k, k + n ]; the value range of the second grade is [ k + n, k + kn ]; the third level has a value range of [ k + kn, + ∞ ], and k and n are positive integers.
In the embodiment of the invention, the construction supervision value obtained by combining the environment training value and the construction training value obtained by training calculation is used for integrally monitoring the pier stud condition in the building bridge, the planning value of the pier stud is obtained by calculation, the planning value is used for obtaining the planning threshold value corresponding to the designed building bridge, the planning threshold value is used for matching the construction supervision value, the ratio between the construction supervision value and the planning threshold value is calculated and analyzed to obtain which preset grade the pier stud constructed in the building bridge belongs to, and the pier stud constructed in the building bridge can be monitored on the basis of different aspects.
The formulas in the invention are all a formula which is obtained by removing dimensions and taking numerical value calculation, and software simulation is carried out by collecting a large amount of data to obtain the formula closest to the real condition, and the preset proportionality coefficient and the threshold value in the formula are set by the technical personnel in the field according to the actual condition or are obtained by simulating a large amount of data.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "left", "right", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation and a specific orientation configuration and operation, and thus, should not be construed as limiting the present invention. Furthermore, "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected through two or more elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.

Claims (8)

1. A monitoring method for building bridge construction is characterized by comprising the following specific steps:
acquiring environmental information and material information of bridge construction;
carrying out value marking and statistics on various data in the environment information to obtain first processing information; carrying out value marking and statistics on each item of data in the material information to obtain second processing information;
training the first processing information and the second processing information through a pre-constructed bridge construction model, calculating various data in the first processing information through an environment training function in the bridge construction model to obtain an environment training value, and calculating various data in the second processing information through a material training function in the bridge construction model to obtain a construction training value;
the environment training value and the construction training value are combined to obtain a construction monitoring value;
and analyzing the construction monitoring value to obtain a construction monitoring set.
2. The monitoring method for building bridge construction according to claim 1, wherein the specific steps of marking and counting the values of various data in the environmental information include: acquiring water body data and geological data in the environmental information, extracting a water depth value, a water velocity value and a water quality type in the water body data, and respectively carrying out value taking and marking on the water depth value and the water velocity value; marking the water quality type and acquiring a corresponding water correlation value; acquiring a geological type and a geological depth in geological data, marking the geological type and acquiring a corresponding geological preset value; taking values and marking the geological depth; and classifying and combining the marked data to obtain first processing information.
3. The monitoring method for building bridge construction according to claim 2, wherein the specific steps of marking and counting the values of the data in the material information include: acquiring cement data, concrete data and pouring data in the material information, extracting the cement type and the cement hardness in the cement data, and marking the cement type and the corresponding cement correlation value; acquiring a cement grade corresponding to the hardness of the cement, and marking the cement grade and a corresponding grade preset value thereof; extracting concrete proportion in the concrete data and carrying out value taking and marking; extracting pouring quality in the pouring data, and carrying out value taking and marking; and classifying and combining the marked data to obtain second processing information.
4. The monitoring method for building bridge construction according to claim 3, wherein the environmental training value is obtained by calculating each item of data in the first processed information through an environmental training function in the bridge construction model, wherein the environmental training function is
Figure FDA0003355387890000021
Wherein alpha is expressed as a water quality correction factor, mu is expressed as a geological correction factor, a1 and a2 are expressed as different proportionality coefficients, SZG is expressed as a water quality related value corresponding to a water quality type, SS is expressed as a water depth value, SL is expressed as a water velocity value, DLY is expressed as a geological preset value corresponding to a geological type, and DZS is expressed as a geological depth.
5. The monitoring method for building bridge construction according to claim 4, wherein the construction training value is obtained by calculating each item of data in the second processing information through a material training function in the bridge construction model, wherein the material training function is
Figure FDA0003355387890000022
Wherein beta is expressed as a material correction factor, b1, b2 and b3 are expressed as different proportionality coefficients, SNG is expressed as a cement related value corresponding to a cement type, SDY is expressed as a grade preset value corresponding to a cement grade, SNZ is expressed as the mass of cement, HPB is expressed as a concrete proportioning ratio, HNZ is expressed as the mass of concrete, and JZZ is expressed as a casting quality.
6. The monitoring method for building bridge construction according to claim 5, wherein the concrete steps of combining the environmental training value and the construction training value comprise:
acquisition environment trainingThe training value HJX and the construction training value SCX are calculated by formula
Figure FDA0003355387890000023
Calculating to obtain a construction supervision value; wherein g1 and g2 are represented as different scaling factors.
7. The monitoring method for construction of the building bridge as claimed in claim 6, wherein the concrete step of analyzing the construction monitoring value comprises: acquiring the type of a building bridge and a bridge preset value corresponding to the type of the building bridge; using formulas
Figure FDA0003355387890000024
Calculating to obtain a specified value of the pier stud; c1, c2 and c3 are expressed as different proportionality coefficients, and DS is expressed as the total number of the pier studs; QLY represents a bridge preset value corresponding to the bridge type;
and analyzing the planning value to obtain a construction monitoring set.
8. The monitoring method for building bridge construction according to claim 7, wherein the specific step of analyzing the planning values comprises: and matching the planning value with a preset planning table to obtain a corresponding planning threshold, calculating a ratio between the construction monitoring value and the planning threshold, obtaining an integer part of the ratio, and analyzing to obtain a construction monitoring set.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114819588A (en) * 2022-04-20 2022-07-29 南京同筑盛世信息科技有限公司 Construction risk monitoring and control system based on integration of Internet of things and 5G
CN117076889A (en) * 2023-09-04 2023-11-17 中铁建大桥工程局集团南方工程有限公司 Three-main truss steel truss girder construction monitoring method and system, storage medium and electronic equipment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101798930A (en) * 2010-03-24 2010-08-11 中铁十二局集团有限公司 Rapid construction method of high-pressure water-rich fault zone of tunnel
CN104329120A (en) * 2014-10-17 2015-02-04 成都四为电子信息股份有限公司 Tunnel construction safety monitoring and management system and tunnel construction safety monitoring and management method
CN108182497A (en) * 2018-01-12 2018-06-19 桂林电子科技大学 A kind of Forecasting Methodology of engineering material unit price
CN108256598A (en) * 2017-12-28 2018-07-06 浙江捷尚人工智能研究发展有限公司 A kind of construction monitoring method
CN109559101A (en) * 2018-12-24 2019-04-02 中铁隧道集团三处有限公司 Construction monitoring system and method
CN111428307A (en) * 2020-04-21 2020-07-17 广州高新工程顾问有限公司 Indoor optimization design method and system based on BIM
CN111861238A (en) * 2020-07-27 2020-10-30 东北财经大学 Expressway bridge engineering risk assessment method and device and computer equipment
CN112649046A (en) * 2020-12-22 2021-04-13 中建八局第三建设有限公司 Overall pushing monitoring method for whole-process simulation tied arch bridge
CN113591187A (en) * 2021-07-21 2021-11-02 珠海市交通勘察设计院有限公司 Road and bridge design method and system based on BIM real scene model

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101798930A (en) * 2010-03-24 2010-08-11 中铁十二局集团有限公司 Rapid construction method of high-pressure water-rich fault zone of tunnel
CN104329120A (en) * 2014-10-17 2015-02-04 成都四为电子信息股份有限公司 Tunnel construction safety monitoring and management system and tunnel construction safety monitoring and management method
CN108256598A (en) * 2017-12-28 2018-07-06 浙江捷尚人工智能研究发展有限公司 A kind of construction monitoring method
CN108182497A (en) * 2018-01-12 2018-06-19 桂林电子科技大学 A kind of Forecasting Methodology of engineering material unit price
CN109559101A (en) * 2018-12-24 2019-04-02 中铁隧道集团三处有限公司 Construction monitoring system and method
CN111428307A (en) * 2020-04-21 2020-07-17 广州高新工程顾问有限公司 Indoor optimization design method and system based on BIM
CN111861238A (en) * 2020-07-27 2020-10-30 东北财经大学 Expressway bridge engineering risk assessment method and device and computer equipment
CN112649046A (en) * 2020-12-22 2021-04-13 中建八局第三建设有限公司 Overall pushing monitoring method for whole-process simulation tied arch bridge
CN113591187A (en) * 2021-07-21 2021-11-02 珠海市交通勘察设计院有限公司 Road and bridge design method and system based on BIM real scene model

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
骆正山等: "基于概率神经网络的油气管道的可靠性评估", 《消防科学与技术》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114819588A (en) * 2022-04-20 2022-07-29 南京同筑盛世信息科技有限公司 Construction risk monitoring and control system based on integration of Internet of things and 5G
CN114819588B (en) * 2022-04-20 2023-03-07 南京同筑盛世信息科技有限公司 Construction risk monitoring and regulating system based on 5G integrated with Internet of things
CN117076889A (en) * 2023-09-04 2023-11-17 中铁建大桥工程局集团南方工程有限公司 Three-main truss steel truss girder construction monitoring method and system, storage medium and electronic equipment

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