Fault monitoring system for fire water supply pipeline of subway fully-automatic driverless sector tunnel and intelligent processing method

Abstract

The invention discloses a fault monitoring system for a fire water supply pipeline of a subway fully-automatic driverless sector tunnel, which can timely find a sudden problem and guarantees safety oftravelling crane operation. Manual-electric integrated butterfly valves are arranged in a length direction of fire water supply pipeline of the tunnel in a spaced mode, and each manual-electric integrated butterfly valve is connected to a manual-electric integrated butterfly valve control box for controlling the manual-electric integrated butterfly valve to open and close; a water flow indicatoris arranged on a sector tunnel fire water supply pipeline between adjacent two manual-electric integrated butterfly valves, a water flow indicator control box is connected to the water flow indictor and a fire automatic alarm system for receiving a fire signal, a state and position mileage signal of the water flow indictor is transferred to a station control center, the water flow indictor controlbox is connected to the manual-electric integrated butterfly valve control boxes at the two sides, the manual-electric integrated butterfly valve control boxes are linked to open and close the manual-electric integrated butterfly valves at the two sides while the water flow indicator operates and is free of the fire signal, and the manual-electric integrated butterfly valve control boxes are connected to an equipment monitoring system for remotely controlling opening and closing of the manual-electric integrated butterfly valves.

Description

technical field [0001] The invention relates to subway fire protection, in particular to a fault monitoring system and intelligent processing method for tunnel fire protection water supply pipelines in fully automatic unmanned driving sections of subways. Background technique [0002] Fully automatic driverless subway has the advantages of high level of integration and automation, flexible operation organization, and reduced labor intensity of operators. Therefore, it can better adapt to the operation needs of high density and large passenger flow, and has become the mainstream of rail transit development at this stage. . However, for the detection and early warning of obstacles in front of trains in tunnels and the handling of accidents and emergencies, if intelligent responses are to be achieved, further exploration and improvement is required. [0003] The fire-fighting water supply pipes in the tunnel are prone to cracks at the pipe joints due to vibration, uneven settl...

AI Technical Summary

Problems solved by technology

[0003] The fire-fighting water supply pipes in the tunnel are prone to cracks at the pipe joints due to vibration, uneven settlement, etc., resulting in pipe bursts, water jets from the pipes, and fire-fighting water filling the track surface, which will affect the operation of the train, and even cause the train to stop in severe cases.

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