The Collation and Use of Data from Continuous Remote Monitoring Systems for the Control of Sound Emissions from a Large Industrial Noise Source

摘要

Using traditional closed-loop control theory, this paper shows how the analysis of the sound emissions from the constantly changing environs of a large open-cut mine identified the source of a time lag in the implementation of appropriate control strategies. As a result, a new control strategy based on SMART technology has been developed to reduce the error signal time lag and help improve the control of noise emanating from the mine. Key elements of the new control system discussed in this paper include: the collation, analysis and reporting of the continuous real-time noise and meteorological monitoring data; confirmation of the source's contribution in a multi-source environment; and identification of high-risk operational activities associated with the noise source. The SMART technology presents this information in a format that: enhances the mining supervisor's perception of the current environment; improves the comprehension of the data; reduces the uncertainty associated with identifying the mine's contribution to the acoustic environment; and enables potential future actions and outcomes to be identified. This paper demonstrates that enhancing a user's perception and awareness of the situation enables pre-emptive rather than reactive decision-making that results in reduced noise impacts and improved productivity.