Multiple sensor integrated method for city long tunnel monitoring system

Abstract

The invention relates to a multi-sensor fusion method used in an urban long tunnel monitoring system which consists of a sensor system, a collection communication transmittance interface and database storing data; the invention is characterized in that the collection communication transmittance interface is completed by PLC; meanwhile, the collection communication transmittance interface collects analog quantity and digital quantity both of which is output by the sensor system, directly sends the analog quantity and digital quantity to the database of a supervisory computer to be implemented fusion procession; the database outputs signals to man-machine interaction interface and intelligent warning system monitoring communication environment; the intelligent warning system can send out warnings including fire warning, visibility warning, carbon monoxide density warning, traffic volume and vehicle speed warning and light intensity difference warning at tunnel entrance. The invention is characterized in that information collected by a plurality of sensors is fused and urban underground long tunnel can be monitored in real time; the self warning of health condition in the tunnel and the self warning of equipment failure can be achieved so that long time health operation of the tunnel can be guaranteed.

Description

technical field [0001] The invention belongs to the field of information technology, and specifically, realizes a multi-sensor fusion method in a city long tunnel monitoring system by processing real-time data collected by multiple sensors. Background technique [0002] Traditional signal acquisition is often completed by a single sensor, even if multiple sensors (types) are used, it only reflects the target information in isolation from multiple sides. In fact, in most cases, multiple signals must be processed simultaneously, and these signals generally come from multiple signal sources, that is, multi-sensors. But multi-sensor also brings information redundancy and even contradiction. Therefore, it is necessary to rationally control and use multiple sensors and their observation information, and combine the information collected by them according to certain optimization criteria to produce an explanation and description of the consistency of the observation environment. T...

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Problems solved by technology

But multi-sensor also brings information redundancy and even contradiction

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