Environment-friendly video monitoring and blackness analyzing system for inorganized discharge of smoke

Abstract

The invention discloses an environment-friendly video monitoring and blackness analyzing system for inorganized discharge of smoke. The system includes an online real-time video module which provides real-time monitoring videos of different monitoring points through a browser and periodically captures pictures and records videos and stores related information to a database and a server, a Ringelmann blackness analysis module which carries out Ringelmann blackness analysis on different monitoring pictures simultaneously and a result displaying module which provides queries, wherein in the Ringelmann blackness analysis module, firstly video monitored pictures are captured in a real-time manner and picture screenshots are processed through a wavelet denoising algorithm so as to remove introduced gaussian noises in an image acquisition and transmission process; and then chimney areas and background areas are marked in images and the average gray value of the pixels of the areas is calculated; then a corrected grey value is obtained and then the grey value is converted into a Ringelmann blackness value. The system structure based on a B / S framework is significantly convenient in deployment and use, further improved in accuracy of the monitoring result and more convenient in operation and use for a user.

Description

technical field [0001] The invention relates to the field of environmental protection video monitoring, in particular to a blackness analysis system for video monitoring of unorganized emission of environmental smoke and dust, which can be widely used in blackness analysis and monitoring of fugitive emission of smoke and dust in environmental protection departments and enterprises. Background technique [0002] Ringelman blackness: Ringelman is an index that reflects the blackness (concentration) of boiler smoke, and is a method for visually evaluating the blackness of smoke. It is divided into six levels, namely: 0, 1, 2, 3, 4, 5 levels. Among them, level 5 is the most serious pollution. Boiler smoke is an important object of environmental protection monitoring, so Ringelmann blackness has become a commonly used important parameter in environmental protection smoke monitoring. [0003] At present, the commonly used Ringelmann blackness observation methods mainly include: ...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, methods such as Ringelmann smoke concentration map, smoke measuring telescope, and photoelectric smoke measuring instrument all need manual interpretation. Large, and each person can only observe one chimney at the same time, the efficiency is low

However, the existing automatic blackness analysis systems all adopt the software deployment method of C / S architecture. This solution has the following problems: the user needs to install the client to use it, which is inconvenient to deploy and install; the display method is monotonous, and there is no necessary analysis Display module; there is no historical video storage function, and historical records cannot be verified

[0007] The system uses the C / S architecture, and only displays the value of the Ringelman blackness analysis, and the function cannot meet the actual needs

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