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Online smoke detection system

 

CEMS system applicable to the various boiler continuous emissions monitoring, the use of direct extraction can be continuous online monitoring of the concentration of particulate matter, sulfur dioxide (SO2) concentrations, nitrogen oxides (NOX) concentration, oxygen (O2) content, flue gas temperature, flue gas pressure, gas flow rate, can also increase the carbon monoxide (CO), carbon dioxide (CO2), hydrogen chloride (HCL), hydrogen fluoride (HF), ammonia (NH3) and hydrocarbons (CHX), parameters such as humidity measurements. Its control computer can be detected by the data processing and storage; Through the network and superior environmental protection departments of computer connectivity, the environmental protection departments can easily and quickly call monitoring data. Through internal LAN, access to the database, such as read data, modify parameters, or even to engage in direct operating systems. Because of the use of direct measurement of flue gas from the concentration of pollutants, the system can use standard gas on-line analyzer for calibration to ensure the accuracy of the monitoring data. A computer can also control a variety of online monitoring points connected to bus way communications, and real-time processing by the points of data. While telephone lines, GPRS, CDMA and other forms of environmental protection departments superior networking.

Scope of application :

  Thermal power plants, garbage incineration plants, cement industry, the chemical industry, petroleum industry, the iron and steel enterprises, industrial boilers, industrial kilns and other industrial processes produce cleaner gas emissions from fixed sources.

System components :

◇ With the System Control and Data Acquisition System

◇ With the gas analyzer

◇ Over the particle analyzer

◇ With the temperature, pressure, flow rate monitor

◇ With the sample gas collection system

◇ With the gas sample pretreatment system

◇ With the protection of cleaning system

◇ With the automatic calibration system

System features :

◇ With the presentation of the system is a good addition to water, dust features to the system long-term security and stability to the operation provided a guarantee.

  • Simultaneously with the number of measurement points, which added more multi-parameter measurement, only an analysis modules can be realized right up to four components of the flue gas monitoring, including NOx, SO2, CO and O2 (under the user needs to choose parameters).
  • With a friendly interface, support for multithreading and on-line help function, and a power outage or system lockups, the software can automatically return to the original state of operations, systems and the continued operation of data loss.。

◇ With the modular design : When the system needs more gas measurement parameters, they can maximize the use of existing analytical instrumentation resources for future expansion to provide an open platform. Simple maintenance, low cost.

◇Over meet the high, middle and low-end users of different needs, we can achieve high temperature conditions for the on-line monitoring system that can be devoted to the garbage incinerator on-line monitoring system to monitor the efficiency of the removal of sulfur and nitrogen-line monitoring system.

◇ With the online automatic calibration functions, the system features automatic calibration and standards own gas, as long as the pre-set time interval automatic calibration can make it automatic calibration.

◇ With the remote monitoring, remote system to receive instructions functions through telephone lines or GPRS or CDMA connection with the importation of the correct password can accept remote commands and follow the instructions for action, and then transfer the information to the instructions issued, for remote diagnosis and the inquiry convenience.

◇With the hardware and software support for a two asked for the installation, PLC control program, with excellent stability and reliability. Software functions, and output can be shown that a number of measurement points parameters, and a variety of curve data, the monitoring results transparent.

 


 
 
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