CN106803149B - Bridge construction information acquisition and management method - Google Patents
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Abstract
The invention discloses a bridge construction information acquisition and management method, which relates to the field of bridge construction quality supervision, and aims to solve the technical problems of the prior art that the management is not in place due to huge and trivial engineering and the mastering on-site raw materials and construction information is incomplete, and S1 is adopted to establish a bridge model, a database and a functional module; s2, acquiring field data; s3, field data arrangement; s4, data judgment and transmission; s5, receiving and associating data; s6, analyzing data; s7, information output step, the invention compares the actual engineering construction information collected on site with the theoretical engineering information of the model, displays the detailed information of the engineering progress and any construction details in real time through the three-dimensional model, and matches with the environmental data monitoring to achieve effective management, inquiry, early warning and the like, thereby providing great convenience for the supervision work of the bridge construction process.
Description
Technical Field
The invention relates to the field of bridge construction quality supervision, in particular to a bridge construction information acquisition and management method.
Background
With the development of national modern construction, the scale of bridge construction in China is not developed rapidly before, but because the technical level of China is not mature enough and reasonable engineering quality management is not obtained in the construction process, a lot of projects neglect the engineering quality problem when paying attention to the progress, and a lot of serious accidents caused by the engineering quality problem occur, such as: collapse of bridge, collapse of house, subsidence of roadbed, etc. The project quality problem is the final goal of the whole project, and is related to the production and life of people, the safety of life and property, the national construction and the stability of society. The bridge engineering has the particularity, the construction difficulty is higher, the service life is longer, and the bridge engineering plays a vital role in transportation and production life, so that the bridge construction quality supervision is very important. At present, in the construction process, a scientific management mode is not adopted, the quality control of building materials is not scientifically monitored and tested, and the steel, cement and the like in the market at present have counterfeit and shoddy products, so that the engineering quality is influenced to a certain extent during construction; secondly, when construction is carried out, technical guidance of a plurality of places is not in place, and related emergency plans are not made before construction, so that the problems can not be effectively and timely treated; finally, in the maintenance and management in the initial stage of engineering construction, the operation is not strictly carried out according to the national requirements and project construction requirements, and further, the phenomena of cracks and the like of mass concrete are caused.
Disclosure of Invention
The invention provides a bridge construction information acquisition and management method, which is used for solving the technical problems of the prior art that the management is not in place due to huge and trivial engineering and the mastering on-site raw materials and construction information is incomplete.
In order to solve the problems, the invention adopts the following technical scheme:
a bridge construction information acquisition management method is characterized by comprising the following steps:
s1, establishing a bridge model, a database and a function module;
s2, acquiring field data;
s3, field data arrangement;
s4, data judgment and transmission;
s5, receiving and associating data;
s6, analyzing data;
and S7, outputting information.
Preferably, the step S1 of building a bridge model, a bridge information database and a function module includes building a three-dimensional bridge model, a bridge information database, a data receiving module, a model data module, a data association module, a data processing and analyzing module and a meteorological data module by using computer software;
the model data module includes: theoretical engineering measurement lofting and acceptance data, theoretical drilled pile foundation construction data, theoretical structure size data, theoretical steel reinforcement entity data, theoretical concrete entity data, theoretical embedded part entity data, theoretical prestress entity data, theoretical steel structure entity data, theoretical scheme measure data and theoretical environment data.
Preferably, the computer software is autodesk review software and SQL Server 2008 database software.
Preferably, the step S2 of acquiring field data includes: engineering measurement lofting and acceptance collection, drilling pile foundation construction information collection, structure size information collection, reinforcing steel bar entity information collection, concrete entity information collection, embedded part entity information collection, prestress entity information collection, steel structure entity information collection, scheme measure information collection and environment information collection.
Preferably, the step S3 of collating field data includes: and classifying and unifying dimension data, namely engineering measurement lofting and acceptance data, drilling pile foundation construction data, structure size data, reinforcing steel bar entity data, concrete entity data, embedded part entity data, prestress entity data, steel structure entity data, scheme measure data and environment data acquired by the field data of the step S2.
Preferably, the step S4 of determining and transmitting data includes: judging according to the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data obtained in the step S3 respectively, if the judged data exceed the normal range, acquiring the data again, and if the judged data are in the normal range, transmitting the data to the receiving end of the next step;
the normal range is a preset reference value range.
Preferably, the step S5 of receiving and associating data includes the following steps:
s501, establishing a corresponding data table in the database through the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the reinforcing steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data received by the data receiving module;
s502, writing the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data into the same column of the data table;
s503, writing the theoretical engineering measurement lofting and acceptance data, the theoretical bored pile foundation construction data, the theoretical structure size data, the theoretical steel reinforcement entity data, the theoretical concrete entity data, the theoretical embedded part entity data, the theoretical prestress entity data, the theoretical steel structure entity data, the theoretical scheme measure data and the theoretical environment data into the other column of the data table;
s504, acquiring real-time meteorological data information from a local meteorological station through a network by using the meteorological data module, and writing the real-time meteorological data information into the data table;
the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestressed entity data, the steel structure entity data, the scheme measure data, the environment data correspond to the theoretical engineering measurement lofting and acceptance data, the theoretical drilling pile foundation construction data, the theoretical structure size data, the theoretical steel bar entity data, the theoretical concrete entity data, the theoretical embedded part entity data, the theoretical prestressed entity data, the theoretical steel structure entity data, the theoretical scheme measure data and the theoretical environment data on a row of a data table one by one respectively.
Preferably, the step S6 data analysis includes:
receiving and associating the data of the step S5 with the engineering measurement lofting and acceptance data, the construction data of the foundation of the bored pile, the structural dimension data, the entity data of the steel bar, the entity data of the concrete, the entity data of the embedded part, the entity data of the prestressed part, the entity data of the steel structure and the scheme measure data in the established data table, respectively comparing the theoretical engineering measurement lofting and acceptance data, the construction data of the foundation of the theoretical bored pile, the theoretical structural dimension data, the entity data of the theoretical steel bar, the entity data of the theoretical concrete, the entity data of the theoretical embedded part, the theoretical prestressed entity data, the entity data of the theoretical steel structure and the theoretical scheme measure data one by one, and dividing the data into four grades of excellent, good, medium and poor according to the comparison result; the difference between the field data and the theoretical data is 0-5%; the good is that the difference between the field data and the theoretical data is 5-10%; the difference between the field data and the theoretical data is 10-15%; the difference is that the difference between the field data and the theoretical data is 15-20%;
and respectively comparing and analyzing the theoretical environmental data and the environmental data, and dividing the theoretical environmental data and the environmental data into the following parts according to the closeness degree of an analysis comparison result: safety, attention and danger.
Preferably, the step S7 information output includes: and outputting the data analysis result of the step S6, wherein the outputting comprises displaying, printing, plotting and informing the user of the information in the form of radio signals.
The invention utilizes the comparison of the actual engineering construction information collected on site and the model theoretical engineering information, displays the detailed information of the engineering progress and any construction detail in real time through the three-dimensional model, and cooperates with the environmental data monitoring to achieve the purposes of effective management, inquiry, early warning and the like, thereby providing great convenience for the supervision work of the bridge construction process.
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FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention;
FIG. 2 is a schematic system structure according to an embodiment of the present invention;
fig. 3 is a schematic system structure diagram of a data processing unit according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. The detailed description of the embodiments of the present invention generally described and illustrated herein is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
In this embodiment, the method for acquiring and managing bridge construction information is applied to a bridge construction information acquisition and management system, fig. 1 is a schematic flow chart of a method according to an embodiment of the present invention, fig. 2 is a schematic structural diagram of a system according to an embodiment of the present invention, and fig. 3 is a schematic structural diagram of a data processing unit according to an embodiment of the present invention, and as shown in fig. 1 to 3, the bridge construction information acquisition and management system includes: the field data collecting and summarizing unit is connected with the field data receiving and sending unit, the field data receiving and sending unit is connected with the far-end data receiving and sending unit, the far-end data receiving and sending unit is connected with the data processing unit, the data processing unit is connected with the output unit, specifically,
step 1, establishing a bridge model, a database and a functional module:
the bridge model comprises modules such as a bridge three-dimensional model and a bridge Information database, and a data processing unit in fig. 2 is a computer or a data processing system formed by a plurality of computers, wherein the computer or the data processing system formed by the plurality of computers at least comprises a Building Information model (Building Information Modeling, referred to as BIM) software platform and a database software platform, and preferably, the BIM software platform is autodesk review software; the database software platform is SQL Server 2008; the platform at least comprises a bridge three-dimensional model, a bridge information database, a data receiving module, a model data module, a data association module, a data processing and analyzing module and a meteorological data module;
the model data module includes: theoretical engineering measurement lofting and acceptance data, theoretical drilled pile foundation construction data, theoretical structure size data, theoretical steel reinforcement entity data, theoretical concrete entity data, theoretical embedded part entity data, theoretical prestress entity data, theoretical steel structure entity data, theoretical scheme measure data and theoretical environment data.
Step 2, field data acquisition:
the field data acquisition unit is mainly connected with the engineering measurement lofting and acceptance data acquisition unit, the scheme measure data acquisition unit, the environment data acquisition unit, the structure dimension data acquisition unit, the steel bar entity data acquisition unit, the concrete entity data acquisition unit, the embedded part entity data acquisition unit, the prestress entity data acquisition unit, the steel structure entity data acquisition unit and the drilling pile foundation construction data acquisition unit through two-way radio and collects related data. The field data receiving and transmitting unit and the far-end data receiving and transmitting unit are in bidirectional wireless connection or/and bidirectional wired connection. Specifically, the system comprises engineering measurement lofting and acceptance data acquisition units, scheme measure data acquisition units, environment data acquisition units, structure size data acquisition units, reinforcing steel bar entity data acquisition units, concrete entity data acquisition units, embedded part entity data acquisition units, prestress entity data acquisition units, steel structure entity data acquisition units and drilling pile foundation construction data acquisition units which are distributed and arranged at all places of a construction site, wherein the various corresponding data are acquired by the engineering measurement lofting and acceptance data acquisition units, the scheme measure data acquisition units, the environment data acquisition units, the structure size data acquisition units, the reinforcing steel bar entity data acquisition units, the concrete entity data acquisition units, the embedded part entity data acquisition units, the prestress entity data acquisition units, the steel structure entity data acquisition units and the drilling pile foundation construction data acquisition units, and then the data are sent to a field data collection; specifically, for example, the drilling pile foundation construction data acquisition unit is installed on the engineering equipment of the rotary hole pile, and in the process of construction operation, the unit acquires information such as the position, the depth, the diameter and the like of the drilling pile and sends the information to the field data collection and summary unit.
and classifying and unifying dimension data, namely engineering measurement lofting and acceptance data, drilling pile foundation construction data, structure size data, reinforcing steel bar entity data, concrete entity data, embedded part entity data, prestress entity data, steel structure entity data, scheme measure data and environment data acquired by the field data of the step S2.
judging according to the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data obtained in the step S3 respectively, if the judged data exceed the normal range, acquiring the data again, and if the judged data are in the normal range, transmitting the data to the receiving end of the next step;
the normal range is a preset reference value range.
Specifically, if the preset depth of the bored pile is 50 meters, when the received actual depth sent by the bored pile foundation construction data acquisition unit is 150 meters, it can be determined that the information is wrong, the field data collection and summary unit sends a command to let the bored pile foundation construction data acquisition unit detect or resend the information, and if the detected data is about 50 meters, the data is transmitted to the remote data transceiver unit.
the method comprises the following steps:
s501, establishing a corresponding data table in the database through the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the reinforcing steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data received by the data receiving module;
s502, writing the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data into the same column of the data table;
s503, writing the theoretical engineering measurement lofting and acceptance data, the theoretical bored pile foundation construction data, the theoretical structure size data, the theoretical steel reinforcement entity data, the theoretical concrete entity data, the theoretical embedded part entity data, the theoretical prestress entity data, the theoretical steel structure entity data, the theoretical scheme measure data and the theoretical environment data into the other column of the data table;
s504, acquiring real-time meteorological data information from a local meteorological station through a network by using the meteorological data module, and writing the real-time meteorological data information into the data table;
the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestressed entity data, the steel structure entity data, the scheme measure data, the environment data correspond to the theoretical engineering measurement lofting and acceptance data, the theoretical drilling pile foundation construction data, the theoretical structure size data, the theoretical steel bar entity data, the theoretical concrete entity data, the theoretical embedded part entity data, the theoretical prestressed entity data, the theoretical steel structure entity data, the theoretical scheme measure data and the theoretical environment data on a row of a data table one by one respectively.
receiving and associating the data of the step S5 with the engineering measurement lofting and acceptance data, the construction data of the foundation of the bored pile, the structural dimension data, the entity data of the steel bar, the entity data of the concrete, the entity data of the embedded part, the entity data of the prestressed part, the entity data of the steel structure and the scheme measure data in the established data table, respectively comparing the theoretical engineering measurement lofting and acceptance data, the construction data of the foundation of the theoretical bored pile, the theoretical structural dimension data, the entity data of the theoretical steel bar, the entity data of the theoretical concrete, the entity data of the theoretical embedded part, the theoretical prestressed entity data, the entity data of the theoretical steel structure and the theoretical scheme measure data one by one, and dividing the data into four grades of excellent, good, medium and poor according to the comparison result; the difference between the field data and the theoretical data is 0-5%; the good is that the difference between the field data and the theoretical data is 5-10%; the difference between the field data and the theoretical data is 10-15%; the difference is that the difference between the field data and the theoretical data is 15-20%;
and respectively comparing and analyzing the theoretical environmental data and the environmental data, and dividing the theoretical environmental data and the environmental data into the following parts according to the closeness degree of an analysis comparison result: safety, attention and danger;
the priority is displayed in green in the corresponding bridge three-dimensional model;
the good is displayed in blue in the corresponding bridge three-dimensional model;
the bridge is displayed in orange in the corresponding bridge three-dimensional model;
the differences are displayed in red in the corresponding bridge three-dimensional model.
And 7, information output:
and outputting the data analysis result of the step S6 to a display, so that a user can clearly view the process and specific details of the whole bridge construction process through a computer display, and the problem can be found and solved in time. Further, output means may include, but are not limited to, a display, a printer, a plotter, and informing a user of information in the form of radio signals.
Specifically, taking a certain bridge construction information management system as an example, the system collects field data to a computer which is provided with Autodesk Revit software and SQL Server 2008 as a platform according to the steps 1 to 5, the platform establishes a three-dimensional model comprising a bridge and a corresponding model database and is provided with a platform interface capable of communicating with a mobile phone, when abnormal conditions occur in the field construction process, such as the excavation depth of a bored pile does not reach the theoretical value required by the bridge design, the system can find the problem when analyzing the data in the step 6, meanwhile, the system allocates different colors according to the corresponding excellent, good, medium and difference in the step 6 for the color of the bored pile on the corresponding three-dimensional model, so that managers can find the problem quickly, and simultaneously, a dialog box popping is adopted to prompt that the bored pile has the problem, and the information is sent to the mobile phone of a bored pile construction supervisor through a network, so as to find and correct errors in time; preferably, the platform can set the personnel structure required to send information according to the requirement, for example, if the problem is not serious, the system only needs to send the information to the construction management group leader, and if the problem is serious, the system must send the information to all the project leaders. The system can also perform project progress inquiry, for example, when the quality condition of concrete poured on a certain day is required to be inquired, the date and the item can be input in a retrieval column of the system, and information such as concrete providers, mixture ratio, mixing time, pouring time and the like on the same day can be displayed in a table mode. In addition, the system can also early warn environmental disasters, and the system can early warn the natural disasters which possibly appear in the engineering by matching with regional meteorological data provided by a meteorological department according to the wind speed, the water level, the water flow, the humidity and the like collected by the environmental data acquisition unit and inform a leader of the engineering in a short message or telephone mode.
The invention utilizes the comparison of the actual engineering construction information collected on site and the model theoretical engineering information, displays the detailed information of the engineering progress and any construction detail in real time through the three-dimensional model, and cooperates with the environmental data monitoring to achieve the purposes of effective management, inquiry, early warning and the like, thereby providing great convenience for the supervision work of the bridge construction process.
Claims (2)
1. A bridge construction information acquisition management method is characterized by comprising the following steps:
s1, establishing a bridge model, a database and a function module;
s2, acquiring field data;
s3, field data arrangement;
s4, data judgment and transmission;
s5, receiving and associating data;
s6, analyzing data;
s7, outputting information;
the step S1 of establishing a bridge model, a database and a function module comprises the steps of adopting computer software to establish a bridge three-dimensional model, a bridge information database, a data receiving module, a model data module, a data association module, a data processing and analyzing module and a meteorological data module;
the model data module includes: theoretical engineering measurement lofting and acceptance data, theoretical drilled pile foundation construction data, theoretical structure size data, theoretical steel reinforcement entity data, theoretical concrete entity data, theoretical embedded part entity data, theoretical prestress entity data, theoretical steel structure entity data, theoretical scheme measure data and theoretical environment data;
the step S2 of acquiring field data includes: engineering measurement lofting and acceptance collection, drilling pile foundation construction information collection, structure size information collection, reinforcing steel bar entity information collection, concrete entity information collection, embedded part entity information collection, prestress entity information collection, steel structure entity information collection, scheme measure information collection and environment information collection;
the step S3 field data arrangement includes: classifying and unifying dimension of engineering measurement lofting and acceptance data, drilling pile foundation construction data, structure size data, reinforcing steel bar entity data, concrete entity data, embedded part entity data, prestress entity data, steel structure entity data, scheme measure data and environment data acquired by the field data of the step S2;
the step S4 of determining and transmitting data includes: judging according to the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data obtained in the step S3 respectively, if the judged data exceed the normal range, acquiring the data again, and if the judged data are in the normal range, transmitting the data to the receiving end of the next step;
the normal range is a preset reference value range;
the step S5 of receiving and associating data includes the following steps:
s501, establishing a corresponding data table in the database through the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the reinforcing steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data received by the data receiving module;
s502, writing the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestress entity data, the steel structure entity data, the scheme measure data and the environment data into the same column of the data table;
s503, writing the theoretical engineering measurement lofting and acceptance data, the theoretical bored pile foundation construction data, the theoretical structure size data, the theoretical steel reinforcement entity data, the theoretical concrete entity data, the theoretical embedded part entity data, the theoretical prestress entity data, the theoretical steel structure entity data, the theoretical scheme measure data and the theoretical environment data into the other column of the data table;
s504, acquiring real-time meteorological data information from a local meteorological station through a network by using the meteorological data module, and writing the real-time meteorological data information into the data table;
the engineering measurement lofting and acceptance data, the drilling pile foundation construction data, the structure size data, the steel bar entity data, the concrete entity data, the embedded part entity data, the prestressed entity data, the steel structure entity data, the scheme measure data, the environment data, the theoretical engineering measurement lofting and acceptance data, the theoretical drilling pile foundation construction data, the theoretical structure size data, the theoretical steel bar entity data, the theoretical concrete entity data, the theoretical embedded part entity data, the theoretical prestressed entity data, the theoretical steel structure entity data, the theoretical scheme measure data and the theoretical environment data are respectively in one-to-one correspondence on the row of the data table;
the step S6 data analysis includes:
receiving and associating the data of the step S5 with the engineering measurement lofting and acceptance data, the construction data of the foundation of the bored pile, the structural dimension data, the entity data of the steel bar, the entity data of the concrete, the entity data of the embedded part, the entity data of the prestressed part, the entity data of the steel structure and the scheme measure data in the established data table, respectively comparing the theoretical engineering measurement lofting and acceptance data, the construction data of the foundation of the theoretical bored pile, the theoretical structural dimension data, the entity data of the theoretical steel bar, the entity data of the theoretical concrete, the entity data of the theoretical embedded part, the theoretical prestressed entity data, the entity data of the theoretical steel structure and the theoretical scheme measure data one by one, and dividing the data into four grades of excellent, good, medium and poor according to the comparison result; the difference between the field data and the theoretical data is 0-5%; the good is that the difference between the field data and the theoretical data is 5-10%; the difference between the field data and the theoretical data is 10-15%; the difference is that the difference between the field data and the theoretical data is 15-20%;
and respectively comparing and analyzing the theoretical environmental data and the environmental data, and dividing the theoretical environmental data and the environmental data into the following parts according to the closeness degree of an analysis comparison result: safety, attention and danger;
the step S7 information output includes: and outputting the data analysis result of the step S6 to a display, a printer, a plotter or informing a user of the information in the form of a radio signal.
2. The method of claim 1, wherein: the computer software is Autodesk Revit software and SQL Server 2008 database software.
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| CN109614697A (en) * | 2018-12-10 | 2019-04-12 | 吉林省瑞凯科技股份有限公司 | A kind of bridge management system based on BIM |
| CN110033199A (en) * | 2019-04-19 | 2019-07-19 | 深圳格调网络运营有限公司 | A kind of house ornamentation construction third party's quality monitoring intellectualized management system |
| CN111062084A (en) * | 2019-12-30 | 2020-04-24 | 广东海外建设咨询有限公司 | Municipal bridge engineering construction supervision system |
| CN112365222B (en) * | 2020-10-21 | 2023-04-07 | 中交第二航务工程局有限公司 | Intelligent construction informatization system for cast-in-situ bored pile |
| CN112668076A (en) * | 2020-12-19 | 2021-04-16 | 重庆建工住宅建设有限公司 | Multi-order high slope comprehensive information construction method for soil-rock combined stratum |
| CN112819440B (en) * | 2021-02-04 | 2023-08-22 | 重庆图强工程技术咨询有限公司 | Whole process engineering consultation decision support method and system |
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