Road and bridge disease analysis and maintenance decision-making method based on big data

A decision-making method and big data technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as insufficient analysis and forecasting, and failure to obtain maintenance plans.

Active Publication Date: 2020-10-02
SOUTH CHINA AGRI UNIV
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  • Abstract
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Problems solved by technology

There are also a small number of methods based on rich historical data to establish the relationship between road and bridge characteristics and degradation conditions, and predict t

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  • Road and bridge disease analysis and maintenance decision-making method based on big data
  • Road and bridge disease analysis and maintenance decision-making method based on big data
  • Road and bridge disease analysis and maintenance decision-making method based on big data

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Embodiment Construction

[0064] In recent years, due to the gradual establishment of digital highway bridges, a large amount of data generated in the process of design, construction, operation, and maintenance has been saved, and the total amount of detection data signals has reached TB level. data base. Based on big data mining and analysis technology, the causes of road and bridge diseases (association rules of influencing factors) are found out by means of big data analysis, and are verified based on existing road and bridge inspection and maintenance data, in order to discover the rules. These rules may reveal the spatio-temporal distribution characteristics of road and bridge diseases and their influencing factors contained in the maintenance data of roads and bridges, predict the potential maintenance level, scope and time of roads and bridges, and combine the expected maintenance goals and cost constraints to formulate maintenance decision-making optimization models to obtain road and bridge dis...

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Abstract

The invention discloses a road and bridge disease analysis and maintenance decision-making method based on big data, which can discover potential, implicit and unknown rules in complex construction, operation, detection, overhaul and maintenance data and scientifically and objectively determine disease causes. Various influence factors such as PCI/BCI, daily maintenance level and traffic volume are introduced into the maintenance management decision model; structured and unstructured data generated in road and bridge design, construction, operation and maintenance processes are fused through abig data analysis method; a big data association analysis method is adopted to establish an association model between the road and bridge disease grades and multiple factors; therefore, a PCI and opportunity cost optimal decision-making model under fund constraint and personnel constraint conditions is established; the effectiveness of the model is verified through field inspection and professional detection data, key factors influencing the health conditions of roads and bridges are determined, a final prediction result is obtained, then a road and bridge maintenance decision scheme is intelligently recommended, and a foundation is laid for road and bridge maintenance decision.

Description

technical field [0001] The invention relates to the field of road and bridge disease analysis and maintenance, in particular to a method for road and bridge disease analysis and maintenance decision-making based on big data. Background technique [0002] As an important part and key project of the traffic road network, the performance of road bridges is not only related to traffic operation and driving safety, but also affects economic and social operating benefits. For a long time, "reconstruction and light maintenance" have made the maintenance management technology of roads and bridges in our country form a relatively backward and passive situation. Due to insufficient maintenance funds, mixed management and maintenance quality, low skill matching, useless maintenance data records, and backward information processing methods, the maintenance of roads and bridges lacks specific measures or poor operability, which leads to planned and scientific maintenance decisions. Insu...

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Application Information

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IPC IPC(8): G06F30/27G06Q10/04G06Q10/06G06Q50/08
CPCG06F30/27G06Q10/04G06Q10/0639G06Q50/08Y02A90/10
Inventor 包世泰王建芳
Owner SOUTH CHINA AGRI UNIV
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