Intelligent underground pipeline management system

Abstract

The invention provides an intelligent underground pipeline management system, which enables operations such switching on, switching off, turning up and turning down to be automatically realized and effectively reduces possibilities of underground pipeline safety accidents. The system comprises an underground pipeline management model, an Internet-of-Things sensor, a cloud platform and a geographical information system. Underground pipelines, landforms, geological conditions, population and sources of danger factors are connected with departments associated with underground pipeline information utilization. The structural main points are that the factors associated with underground pipelines are connected with the underground pipeline model through the Internet-of-Things sensor and the geographical information system, and the underground pipeline model is connected with the departments associated with underground pipeline information utilization through the cloud platform and the Internet-of-Things sensor; and the underground pipeline management module comprises a pipeline data processing sub-system, a pipeline three-dimensional display sub-system, a pipeline operation monitoring management sub-system, a pipeline plan analysis sub-system, a pipeline mobile check sub-system, and a pipeline emergency command sub-system.

Description

technical field [0001] The invention belongs to the technical field of Internet of Things, and in particular relates to an intelligent management system for underground pipelines. Background technique [0002] In recent years, frequent underground pipeline safety accidents have pushed the safety management of underground pipelines to the forefront. Due to the urgency of underground pipeline management, many cities across the country have formulated corresponding rules and regulations, and focused on the informatization of underground pipelines; some cities have also set up specialized agencies for underground pipeline management. However, in view of the rapid increase in the length and types of urban underground pipelines, the traditional underground pipeline management methods have been difficult to meet the requirements of urban fine management. The development of Internet of Things technology provides new opportunities for the management of underground pipelines. [000...

AI Technical Summary

Problems solved by technology

However, in actual work, it is difficult to establish an effective supervision mechanism for inspection work. Affected by subjective and objective factors such as experience, personnel changes, and environmental factors, there are often problems such as repeated routes, missing inspection points, and uneven inspection efforts during the inspection process. Form a detailed record of the inspection process

In addition, for major hazards, the traditional manual method is difficult to supervise, and it is easy to cause major safety hazards

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