CN-122022550-A - Dangerous large engineering quality acceptance and management and control method and system based on intelligent building platform

CN122022550ACN 122022550 ACN122022550 ACN 122022550ACN-122022550-A

Abstract

The invention relates to the technical field of engineering acceptance, and discloses a dangerous large engineering quality acceptance and management and control method based on an intelligent building platform, which comprises the following steps of S1, a construction scheme and a design file based on the dangerous large engineering; the method comprises the steps of S2, obtaining construction quality data corresponding to the digital model of the dangerous large engineering, S3, calculating quality deviation of the construction quality data relative to quality acceptance control indexes, S4, analyzing construction quality states to generate quality risk identifications corresponding to construction parts, S5, judging whether quality early warning triggering conditions are met or not, S6, generating rectifying tasks corresponding to quality problems according to construction stages and risk grades corresponding to the quality risk identifications, and S7. Through correlation of the built digital model of the dangerous large engineering in a unified space frame, the effects of fine expression and structural display of quality control objects are achieved, and scientific data support is provided for subsequent quality monitoring, risk assessment and quality deviation analysis.

Inventors

Cheng Zhennian
PAN WENJUN
YUAN YONG
ZHOU ZIDONG
LI FULONG
WU SHUANG
ZHANG MAOPENG
Qin Kaiwen
HU LONGBO
CAO YANGYANG
ZHOU XIONG
CHEN PEIJI
YE CHUAN
LI YANCHUN

Assignees

中铁广州工程局集团有限公司
中铁广州工程局集团第三工程有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. The quality acceptance and control method for the dangerous large engineering based on the intelligent building platform is characterized by comprising the following steps of: s1, constructing a digital model of the dangerous large project in an intelligent construction platform based on a construction scheme and a design file of the dangerous large project; S2, in the construction process of the dangerous large project, acquiring construction quality data corresponding to the digital model of the dangerous large project through on-site sensing equipment accessed by an intelligent construction platform; s3, comparing the obtained construction quality data with quality acceptance control indexes in the digital dangerous engineering model, and calculating quality deviation of the construction quality data relative to the quality acceptance control indexes; s4, analyzing the construction quality state according to the quality deviation to generate a quality risk identifier corresponding to the construction part; S5, judging whether a quality early warning triggering condition is met according to the quality risk identification, triggering quality early warning and outputting early warning information when the quality early warning triggering condition is met; S6, after the quality risk identification is generated, calculating a quality acceptance trigger node according to a construction stage and a risk level corresponding to the quality risk identification, and triggering a corresponding quality acceptance task; And S7, when a quality problem is found in the quality acceptance or early warning process, generating a rectification task corresponding to the quality problem, and controlling the execution state of the rectification task.
2. The method for quality acceptance and control of critical large projects based on intelligent building platforms according to claim 1, wherein said S1 comprises the steps of: Extracting structural member information of the dangerous engineering according to the design file, and establishing a member-level space model; Extracting a construction procedure sequence according to a construction scheme, and associating the construction procedure with the structural member; Setting corresponding quality acceptance control indexes for each structural member, and writing the quality acceptance control indexes into a digital model of the dangerous large engineering; The digital model of the dangerous large project comprises project structure information, construction process parameters, quality acceptance control indexes and corresponding spatial position relations.
3. The method for acceptance and control of critical mass engineering based on intelligent building platform according to claim 1, wherein said step S2 comprises the steps of: setting a data acquisition period corresponding to the construction process of the dangerous large project; Acquiring construction equipment operation state data, site environment state data and construction entity state data in the data acquisition period; Mapping the acquired construction quality data to corresponding structural members in the digital dangerous engineering model according to the spatial position; The field sensing equipment comprises a sensor, an unmanned aerial vehicle, a laser range finder and video monitoring equipment.
4. The method for quality acceptance and control of critical large projects based on intelligent building platforms according to claim 1, wherein said step S4 comprises the steps of: constructing a quality deviation vector based on the difference between the construction quality data and the quality acceptance control index; calculating the change rate of the quality deviation vector in the construction time dimension, and representing the evolution trend of the construction quality deviation; Setting a risk evaluation function, and taking the amplitude, duration and change rate of the quality deviation vector as input parameters; when the output result of the risk evaluation function exceeds a preset risk threshold, generating a quality risk identifier corresponding to the construction member, and recording space position and time information corresponding to the quality risk identifier; the quality acceptance control index comprises structural dimensions, tolerance, construction process requirements and safety standards.
5. The method for quality acceptance and control of critical large projects based on intelligent building platforms according to claim 1, wherein said step S5 comprises the steps of: Setting a corresponding relation between the quality risk level and the quality early warning triggering condition; Judging whether the quality risk level corresponding to the quality risk identifier meets the quality early warning triggering condition or not; When the quality early warning trigger condition is met, generating a quality early warning event and outputting quality early warning information; the quality risk identification comprises a risk grade, a position identification, a time identification and a risk type, and the early warning information comprises a severity grade, a risk occurrence position and early warning time.
6. The method for quality acceptance and control of critical large projects based on intelligent building platforms according to claim 1, wherein said S6 comprises the steps of: Presetting a standard quality acceptance time axis corresponding to a construction stage; Acquiring a quality risk identifier and judging the construction stage to which the quality risk identifier belongs; Calculating the quality acceptance advanced triggering quantity according to the risk grade corresponding to the quality risk identifier, wherein the advanced triggering quantity is related to the risk grade coefficient and the residual duration of the current construction procedure; When the quality acceptance advance triggering quantity exceeds a preset acceptance advance threshold value, adjusting a quality acceptance plan, and pushing the corresponding quality acceptance task to an execution queue in advance.
7. The method for quality acceptance and control of critical large projects based on intelligent building platforms according to claim 1, wherein said step S7 comprises the steps of: judging whether quality problems exist according to quality acceptance results or quality early warning information; When quality problems exist, generating a rectification task containing rectification requirements, rectification time limit and responsibility information; Continuously tracking the execution state of the rectification task until the quality problem meets the acceptance condition; And the execution state management and control comprises real-time data updating, correction plan adjustment and correction result confirmation.
8. The method for quality acceptance and control of critical large projects based on intelligent building platforms according to claim 1, wherein said step S7 further comprises the steps of: the quality risk identification, the quality early warning information, the quality acceptance result and the rectifying task are stored in a correlated mode with the corresponding structural members; and forming a quality control record in the construction process of the dangerous large engineering according to the correlation result, wherein the quality control record is used for quality tracing and responsibility judgment.
9. The method for quality acceptance and control of critical large projects based on intelligent building platforms according to claim 1, further comprising the following steps after the step S7: and continuously acquiring quality data in the construction process in the execution process of the rectification task, updating the state of the rectification task in real time, and adjusting the rectification plan according to the rectification condition so as to ensure the effectiveness of the rectification scheme and complete the rectification task in time.
10. The system for checking and controlling the quality of the dangerous large engineering based on the intelligent building platform is applied to the method for checking and controlling the quality of the dangerous large engineering based on the intelligent building platform as claimed in any one of claims 1 to 9, and is characterized in that the system comprises: The model construction module is used for constructing a digital model of the dangerous large engineering, which comprises engineering structure information, construction process parameters and quality acceptance control indexes; the data acquisition module is used for acquiring construction quality data corresponding to the construction process of the dangerous large engineering; The deviation calculation module is used for comparing the construction quality data with the quality acceptance control index and calculating the quality deviation; The risk identification module is used for generating a quality risk identifier according to the quality deviation; the early warning triggering module is used for judging and triggering quality early warning according to the quality risk identification; The acceptance management module is used for adjusting the quality acceptance node according to the quality risk identification and executing a quality acceptance task; and the rectification management and control module is used for generating rectification tasks and managing and controlling the execution states of the rectification tasks.

Description

Dangerous large engineering quality acceptance and management and control method and system based on intelligent building platform Technical Field The invention relates to the technical field of engineering acceptance, in particular to a dangerous large engineering quality acceptance and management and control method and system based on an intelligent building platform. Background With the continuous development of the technology in the building industry, the scale and complexity of engineering construction are gradually increased, and particularly for the critical engineering projects, the safety risk and quality control requirements are more severe. The engineering quality acceptance and control system is a system integrating advanced information technology, data analysis and intelligent control and is used for guaranteeing the quality controllability and the safety of dangerous engineering such as bridges, high buildings, large infrastructures and the like in the construction process. The quality inspection, acceptance and control system for the dangerous large projects based on the intelligent building platform can improve visualization, instantaneity and accuracy of the construction process by means of automation and intellectualization, in the related technology, the digital modeling and informatization management system is adopted to control and monitor the quality of the projects, and as the projects of the projects usually undergo a plurality of construction stages or change, data updating is not timely or deviation occurs, so that the digital model cannot accurately reflect the current actual conditions, and further accuracy of quality monitoring and risk evaluation is affected. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a dangerous large engineering quality acceptance and control method and system based on an intelligent building platform, which solve the problem that a digital model cannot accurately reflect the current actual situation due to untimely data updating or deviation. The invention is realized by the following technical scheme that the dangerous engineering quality acceptance and control method based on the intelligent building platform comprises the following steps: s1, constructing a digital model of the dangerous large project in an intelligent construction platform based on a construction scheme and a design file of the dangerous large project; S2, in the construction process of the dangerous large project, acquiring construction quality data corresponding to the digital model of the dangerous large project through on-site sensing equipment accessed by an intelligent construction platform; s3, comparing the obtained construction quality data with quality acceptance control indexes in the digital dangerous engineering model, and calculating quality deviation of the construction quality data relative to the quality acceptance control indexes; s4, analyzing the construction quality state according to the quality deviation to generate a quality risk identifier corresponding to the construction part; S5, judging whether a quality early warning triggering condition is met according to the quality risk identification, triggering quality early warning and outputting early warning information when the quality early warning triggering condition is met; S6, after the quality risk identification is generated, calculating a quality acceptance trigger node according to a construction stage and a risk level corresponding to the quality risk identification, and triggering a corresponding quality acceptance task; And S7, when a quality problem is found in the quality acceptance or early warning process, generating a rectification task corresponding to the quality problem, and controlling the execution state of the rectification task. As a further description of the above technical solution, the step S1 includes the following steps: Extracting structural member information of the dangerous engineering according to the design file, and establishing a member-level space model; Extracting a construction procedure sequence according to a construction scheme, and associating the construction procedure with the structural member; Setting corresponding quality acceptance control indexes for each structural member, and writing the quality acceptance control indexes into a digital model of the dangerous large engineering; The digital model of the dangerous large project comprises project structure information, construction process parameters, quality acceptance control indexes and corresponding spatial position relations. According to the technical scheme, the dangerous large engineering digital model comprising the structural members, the construction procedures and the quality inspection control indexes is constructed based on the design files and the construction schemes in the pre-construction stage, engineering structure information, construction process par