Remote monitoring system for building a noise map

Abstract

A remote monitoring system for building a noise map comprises a solar noise remote monitor for implementing distributed multipoint monitoring at each monitoring points, and a noise monitoring box; thesolar noise remote monitor is connected with a communication network by a communication module of a networked controller, and then connected with the network by a wireless or wired method to upload the data of a noise sensor, the video of a camera, and the audio frequency of a sound pickup to a network cloud server; the data of the noise sensor, the video of the camera, and the audio frequency ofthe sound pickup also can be stored in a local digital video recorder to be managed and controlled by a platform software; the noise of each monitoring point is monitored in real time by the noise monitoring box in the laboratory; the video and audio data of each excessive playback noise warning point is monitored by the noise monitoring box; and, the solar power supply can be switched into commercial power supply. A Beidou positioning chip (or a GPS Global Position System positioning chip) is embedded in the networked controller; the geographic position of the solar noise remote monitor canbe checked in the system software (or the longitude and the latitude of the device are directly inputted in the software); and thus, the noise map is built.

Description

technical field [0001] The invention relates to the field of environmental protection noise monitoring equipment, in particular to a remote monitoring system for building noise maps. Background technique [0002] At present, in the field of domestic environmental protection noise monitoring, there is a lack of small and portable solar noise monitoring equipment that can be deployed in large numbers to monitor the emission of noise pollution sources flexibly around the clock, especially the remote monitoring system for intelligent distributed noise map construction. At present, most environmental protection monitoring units usually go to the monitoring point manually and use the noise monitor to monitor on-site. The current noise monitoring instrument is usually large in size and high in cost, and is not suitable for large-area distributed layout, so this method is limited to one time at a time. Due to the limited time and space range of monitoring, manual operation is requir...

AI Technical Summary

Problems solved by technology

[0002] At present, in the field of domestic environmental protection noise monitoring, there is a lack of small and portable solar noise monitoring equipment that can be deployed in large numbers to monitor the emission of noise pollution sources flexibly around the clock, especially the remote monitoring system for intelligent distributed noise map construction

At present, most environmental protection monitoring units usually go to the monitoring point manually and use the noise monitor to monitor on-site. The current noise monitoring instrument is usually large in size and high in cost, and is not suitable for large-area distributed layout, so this method is limited to one time at a time. Due to the limited time and space range of monitoring, manual operation is required, and most of the equipment does not have the functions of remote positioning and intelligent control. The method of manually going to the monitoring point for monitoring has a large workload, high labor intensity, and high cost, which cannot meet all-weather monitoring. The required time-sharing sampling requirements, not to mention real-time sampling! And it is easy to be discovered by the sewage enterprises to monitor the law. It is outside the daily supervision time, such as holidays or nighttime sneak discharge. Therefore, the above manual monitoring method has great defects. In view of the above-mentioned problems, it is necessary to use a system that can construct The remote monitoring system of the noise map can solve this problem very well. It can replace manual all-weather monitoring, solve the shortage of monitoring personnel, reduce labor intensity, improve the real-time performance of monitoring, and achieve when and when to monitor and build sewage. The map of the noise pollution source has solved the problem of difficult evidence collection under the condition of manual monitoring and evidence collection: for example, there is a lag time for the law enforcement officers to rush to the scene. During this lag time, the sewage enterprises have the ability to lose evidence when the law enforcement officers do not arrive at the scene. , when the law enforcement officers arrived at the scene, they could not obtain evidence and refused to admit the fact of sewage discharge

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