Industrial boiler monitoring and analysis assistant decision-making cloud platform system

Abstract

The invention provides an industrial boiler monitoring and analysis assistant decision-making cloud platform system, which comprises a data collector and a cloud-end server, wherein the data collector is used for collecting industrial boiler real-time monitoring data such as boiler operation parameters and environmental protection monitoring data in real time; the cloud-end server comprises a data analysis module and a data displaying module; the data analysis module is used for analyzing the real-time monitoring data to acquire analysis statistics data such as the operation data and the economic data of the industrial boiler, detecting an alarming event to acquire alarming information, detecting the operation condition of instrument equipment of the industrial boiler, providing maintenance information, judging a field fault reason and providing optimization recommendation; and the data displaying module is used for displaying the real-time monitoring data, the analysis statistics data, the alarming information, the maintenance information and the optimization recommendation. The invention can provide a regional industrial boiler remote monitoring and assistant decision-making platform integrating functions of online monitoring, automatic diagnosis, safety early warning, maintenance promoting, optimization recommendation and the like for various parameters for operation of the boiler as a whole.

Description

technical field [0001] The invention relates to the technical field of industrial boilers, in particular to an industrial boiler monitoring and analysis auxiliary decision-making cloud platform system. Background technique [0002] Industrial boilers are thermal equipment commonly used in various fields of society in our country. According to their uses, industrial boilers are divided into industrial parks, residential areas, enterprises, hotels, etc. for central heating and heating; according to fuel, industrial boilers are divided into fuel oil and gas , coal, biomass, waste incinerators, etc. A large number of industrial boilers, low average capacity of a single unit, generally low operating efficiency, high operating costs, substandard emissions, frequent safety problems, failures that cannot be resolved in time, etc., have become common problems faced by current users and are also sources of air pollution. one of the main sources of emissions. [0003] At present, the...

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Problems solved by technology

A large number of industrial boilers, low average capacity of a single unit, generally low operating efficiency, high operating costs, substandard emissions, frequent safety problems, failures that cannot be resolved in time, etc., have become common problems faced by current users and are also sources of air pollution. one of the main sources of emissions

[0003] At present, the monitoring, diagnosis, and troubleshooting of industrial boilers are mainly carried out at the boiler site. When the boiler operation, management, and technical personnel are not at the boiler site, real-time control of the boiler operating data cannot be realized.

With the rapid development of Internet technology and the influence of traditional industrial upgrading policies such as national intelligent manufacturing, Internet +, and big data analysis, domestic industrial upgrading of traditional industrial boilers using Internet technology has received extensive attention in recent years. After investigation, Some companies conduct research and product development on remote monitoring of industrial boilers, but they are limited to research on remote monitoring of industrial boilers, and do not involve online monitoring, automatic diagnosis, and safety of various parameters such as integrated boiler combustion, safety, heat production, and emissions. A regional industrial boiler remote monitoring and auxiliary decision-making platform integrating functions such as early warning, maintenance reminder, and implementation optimization

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