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Ontology-based highway bridge technical condition inspection and evaluation method

A technical condition, highway bridge technology, applied in the field of ontology-based highway bridge technical condition inspection and evaluation, can solve the problems of lack of self-learning and reasoning ability, improving computer hardware requirements, lack of intelligence in BMS system data processing methods, etc. The effect of efficiency and intelligence level

Pending Publication Date: 2021-04-30
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

Compared with manual processing, the calculation method of the bridge management system has greatly improved the efficiency. However, the data processing method of the BMS system lacks intelligence and has no self-learning and reasoning capabilities.
There are a large number of highway bridges at present, and the calculation through code will increase the cost of calculation time and increase the requirements for computer hardware

Method used

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  • Ontology-based highway bridge technical condition inspection and evaluation method
  • Ontology-based highway bridge technical condition inspection and evaluation method
  • Ontology-based highway bridge technical condition inspection and evaluation method

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] Such as figure 1 As shown, the present embodiment provides a method for checking and evaluating the technical condition of highway bridges based on ontology, including:

[0051] 101. Construct ontology knowledge base based on knowledge in the field of highway and bridge engineering; knowledge in the field of highway and bridge engineering,...

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Abstract

The invention discloses an ontology-based highway bridge technical condition inspection and evaluation method, which comprises the following steps of: constructing an ontology knowledge base by introducing bridge engineering basic knowledge, bridge engineering specifications and highway bridge engineering regular inspection data, and achieving knowledge reasoning by combining a semantic network rule and a semantic query rule; and automatically processing bridge disease information to obtain a bridge technical condition grade score.Therefore, automatic evaluation of the technical condition of the highway bridge is achieved, and the efficiency and the intelligent level of highway bridge data processing are greatly improved.

Description

technical field [0001] The invention relates to the technical field of highway bridge maintenance, in particular to an ontology-based inspection and evaluation method for the technical condition of highway bridges. Background technique [0002] There are a large number of highway bridges in China. Due to the lack of effective support from computer-aided tools, the data processing of regular bridge inspections is time-consuming and laborious. Problems such as inaccurate inspection data and untimely feedback lead to increased maintenance costs of bridges. In addition, when processing data, engineers need to search for engineering specifications and standards. However, there are many engineering specifications in this field and their contents are extensive. This work mainly relies on the subjective experience of engineers to complete this work, but there are still problems of low efficiency, low accuracy, and high cost. question. [0003] In addition to the method of manual ca...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F16/36G06F16/35G06F16/2455G06F40/30G06Q50/08
CPCG06Q10/06393G06F16/367G06F16/355G06F16/24564G06F40/30G06Q50/08Y02A90/10
Inventor 杨刚姜亚丽张田宋红红
Owner DALIAN MARITIME UNIVERSITY
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