| Boilers are important energy power equipments in industrial production and civil life. They are faced with many problems, such as wide varieties of fuel, low energy efficiency and multiple accidents what make us pay more and more attention to its safety and efficient production. How to use remote monitoring techniques into a regional industrial boilers’ intensive monitoring is the focal point of this article. The monitoring can be used to strengthen the security operating of boilers and daily regulation of energy utilization.Firstly, the research situation of the remote monitoring technology and the soft-sensor technology are introduced, the soft-sensor technology applied in predicting parameters of industrial boilers was summarized. Combined with the using status of a regional industrial boiler, the overall design of the remote monitoring system for industrial boiler was carried out and the principle and function of the system were stated. This system is divided into three segments which are data acquisition terminal, the remote transmission system and monitoring center management information platform.A combined soft-sensor method was put forward to deal with the problem of the limited use of oxymeter. Boiler operation parameters that connected to oxygen-content were analyzed. The kernel principal component analysis was used to analyze the parameters and the redundant samples were eliminated so as to decrease the emulation of input dimension. Based on it, a soft-sensor model of gas oxygen-content is established with utilizing the least square support vector machine method. The results of four kinds of prediction models and three performance indexes which are RSME, MPE and MNE respectively were compared and the most effective modeling method is obtained.The least square support vector machine with Grid-research was applied to predict the carbon elementary of coal by using proximate analysis in coal quality test. Combined with the other parameters needed in the calculation formula, the carbon emission formula was derived. The calculation formula of carbon emissions established is accurate and practical.The variables needed were analyzed and selected. Then meters on the background of a certain model of a boiler were selected. The data acquisition and transmission equipments were selected too. Modbus protocol was chose as a serial data transport protocol. And the transmission schemes based on general packet radio service was determined. Meanwhile, the principles and applications of scoket that used in communication were stated, and the boiler data acquisition software based on the scoket and the dll file was exploited.The database based on SQL Server 2005 software was established which storages the basic information, operation parameters and energy conservation and emissions reduction indexes of the monitoring boilers. Visual Studio 2008 software is adopted as the development platform of the system. The operation management module, energy saving essessment module, soft-sensor of parameters module, accident alarm module and geographic information platform module of the system was completed.A regional industrial boilers’ intensive monitoring of operation states, energy conservation and emissions reduction information was brought into effect in this paper. A new soft-sensor method of flue gas oxygen content was researched and developed. The formula of boilers’ carbon emissions was improved. It provided technical support and essential data to raise the operation level of industrial boiler, improve the utilization ratio of fuel, investigate energy-saving potential of boilers and reduce accidents. |
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