AR-based pipe network visualization system
A pipe network and screen technology, applied in the field of AR-based pipe network visualization system, can solve the problems of low inspection efficiency and memory capacity occupation, and achieve the effect of avoiding modeling workload, small network bandwidth, and low memory requirements.
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Embodiment 1
[0030] Such as figure 1 Shown: An AR-based pipeline network visualization system, including a server and a mobile terminal worn by inspectors. The mobile terminal and server are connected through the existing wireless communication module network.
[0031] 1. Servers, including:
[0032] The data collection module is used to collect big data of the pipe network, which includes digital information of the pipe network and monitoring data of the pipe network.
[0033] Pipe network digital information includes pipeline data, pipeline network construction design blueprint and two-dimensional electronic pipeline map. Pipeline data includes buried direction, buried depth, latitude and longitude coordinates, pipe diameter size and pipeline information. Natural gas pipeline), the street to which it belongs, the department and other information; the two-dimensional plane electronic pipeline map is drawn from centimeter-level GNSS positioning and pipeline data.
[0034] Pipe network mo...
Embodiment 2
[0050] Compared with Embodiment 1, this embodiment differs only in that this embodiment also includes a disaster prediction subsystem.
[0051] In recent years, earthquake disasters have occurred frequently, and earthquakes will seriously affect the normal work of the pipeline network. Most of the pipeline network is buried deep underground, so it is difficult to know the working status of the pipeline network, and it is also difficult to judge the status of the pipeline network only based on changes on the surface. In the prior art, Internet of Things detectors, leakage sensors, etc. are used to monitor various data in the pipeline network in real time, and when the data is abnormal, the pipeline network failure is judged. Although the above method is accurate in judgment, it lacks pertinence and predictability: First, the inspectors cannot see the actual situation of the pipeline network, and cannot determine the key inspection areas. ;Secondly, the inspectors need to know ...
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