首页|数智化技术在公路工程地质勘察中的应用

数智化技术在公路工程地质勘察中的应用

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传统公路工程地质勘察,外业现场一般采用纸质表单记录勘察地质信息,且现场监管通常采取外业监管人员沿线巡查、抽检的方式,内业人员拿到外业原始记录后手动录入勘察软件生成图表、编制勘察报告。经验表明,此种模式容易导致勘察效率低下、勘察成果质量与真实性等无法满足要求,且一旦检查发现问题往往追溯困难,难以找到问题根源。针对上述问题,运用数智化技术建立勘察信息化采集系统、云监控系统,外业数据直接对接内业勘察软件,在确保勘察数据真实性的同时,实现了勘察外业记录信息化、高效化、优质化,保证了勘察成果的准确度,能够缩短勘察周期、节约勘察成本,同时也为未来建立行业勘察资料大数据库打下基础。
Application of Digital Intelligence Technology in Highway Engineering Geological Survey
The traditional highway engineering geological survey and field exploration site usually use paper forms to record detailed ge-ological information data,and the supervision and management of the exploration site is usually only realized through field supervision and management personnel inspection along the highway lines and random inspection.After receiving the original field record form,the internal data collation personnel manually input the geological survey software to generate geological charts and other documents and prepare the final geological survey report.A large number of survey project experience shows that this mode is very easy to lead to the low efficiency of highway geological survey,the quality and authenticity of survey results cannot meet the requirements of the code,and once the problems are found in the later project inspection,it is often very difficult to trace back,unable to find the root of the problem.Aiming at the above problems,the digital intelligence technology is used to establish the survey information collection system and cloud monitoring system,and the field data is directly connected with the office survey software.While ensuring the authenticity of the survey data,realize the informatization,efficiency and quality of field survey records.It ensures the accuracy of the survey results,shortens the survey period,saves the survey cost,and also lays a solid foundation for the establishment of a large survey data database in the indus-try in the future.

geological surveyefficiency of surveyinformation collectioncloud monitoring

王祝、肖立平

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安徽省交通规划设计研究总院股份有限公司,安徽 合肥 230088

地质勘察 勘察效率 信息化采集 云监控

2024

黑龙江交通科技
黑龙江省交通科学研究所,黑龙江省交通科技情报总站

黑龙江交通科技

影响因子:0.977
ISSN:1008-3383
年,卷(期):2024.47(3)
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