Tunnel boring machine remote monitoring platform based on big data

Abstract

The invention discloses a tunnel boring machine remote monitoring platform based on big data. The platform structurally comprises a heading machine, a big data processing module, a cloud computing platform, a monitoring terminal module, a fault alarm module, a tunnel temperature and humidity detection module, a tunnel geological detection module and a heading machine state monitoring module. Compared with the prior art, the platform has the beneficial effects that silk is additionally arranged at the tail ends of the blades of a fan; a triangular glass plate with a cambered surface is additionally arranged on a dust blocking and air equalizing plate; the silk and the triangular glass plate are electrified through friction to adsorb wound dust; the problem that dust is attached to a processor to cause difficult heat dissipation of the processor is avoided; an intermittent air dispersing device is additionally arranged on the fan, and the intermittent air dispersing device is driven to intermittently inflate by taking the operation of the fan as power, so that the inflated air can be uniformly dispersed; the heat dissipation of the processor body can be further accelerated; the heatdissipation of the processor body is facilitated; and the processor body is prevented from being damaged due to overheat operation.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a remote monitoring platform for tunnel boring machines based on big data. Background technique [0002] The 21st century is the century of underground space. With the rapid development of the national economy, my country's urbanization process is accelerating. For a long time to come, domestic urban subway tunnels, hydraulic tunnels, cross-river tunnels, railway tunnels, highway Tunnel projects such as pipelines will require a large number of tunnel boring machines. During the construction of the tunnel, in order to enhance the safety of the construction, it is necessary to monitor the construction progress in an all-round way through various monitoring equipment and analyze it through big data. Among them, the data processor is particularly important. In the prior art, the fan is used to change the airflow velocity to dissipate heat and cool down the data processor. During the t...

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Problems solved by technology

[0002] The 21st century is the century of underground space. With the rapid development of the national economy, my country's urbanization process is accelerating. For a long time to come, domestic urban subway tunnels, hydraulic tunnels, cross-river tunnels, railway tunnels, highway Tunnel projects such as pipelines will require a large number of tunnel boring machines. During the construction of the tunnel, in order to enhance the safety of the construction, it is necessary to monitor the construction progress in an all-round way through various monitoring equipment and analyze it through big data. Among them, the data processor is particularly important. In the prior art, the fan is used to change the airflow velocity to dissipate heat and cool down the data processor. During the tunnel excavation process, the fan is easy to draw the dust from the outside into the device body, which will make the processor attached with a layer of dust and make it difficult to dissipate heat. In addition, the tunnel excavation takes a long time, and the processor runs for a long time, but the tunnel space is narrow, and the heat emitted is difficult to get rid of, which will easily cause the processor to overheat and be damaged for a long time

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