Compensation method for waveform pulse non-linear distortion in multi-component infrared smoke analytical instrument

Abstract

The invention relates to a compensation method of waveform pulse non-linear distortion in multi-component infrared smoke analyzer, which comprises setting an initial weight value (1) of object pulse, using test to record the non-linear distortion of the waveform (2), calculating out one correct weight value (3), calculating if the distortion corrected via the correct weight value reaches demand, or else modifying the initial weight value (4). The invention has the advantages that sine the positive and negative values of each pulse are set with different weight values and checked without peak value but with pulse envelope integral that calculates out the integral phase and the weight values of the pulse positive and negative values, the invention can hold the integral value in the envelope line when each pulse shifts, to eliminate baseline shift effect on each pulse and only present the reflection on relative signal.

Description

technical field [0001] The invention relates to a multi-component infrared smoke gas analyzer, in particular to a compensation method for waveform pulse nonlinear distortion in the infrared gas analyzer. Background technique [0002] In view of the quality control requirements of steel, cement and other material industries, as well as the needs of thermal power generation, waste incineration and other industries for environmental protection emission monitoring, it is necessary to simultaneously detect SO 2 , NO X , CO, CO 2 , O 2 The equipment with the highest concentration is the flue gas emission online analysis system (CEMS). [0003] At present, the multi-component gas analyzers, which are the core components of the system, all use non-dispersive infrared gas analyzers (NDIR). The NDIR solution is to use a micro-sonic thin-film sensor. The sensitivity of the sensor comes from the gas filled inside. The absorption spectrum of the filled gas is the working band of the ...

AI Technical Summary

Problems solved by technology

The disadvantages of this scheme are: first, if the absorption spectrum of the interfering gas overlaps with the spectrum of the filling gas, gas interference absorption will occur; therefore, it is necessary to know all the components of the measured gas when it is applied to a specific project. Carry out model correction; second, if the composition of the gas to be detected changes, it cannot be completely corrected by software; even if the composition of the gas to be measured is known, a large amount of experimental data must be accumulated to give a more accurate Model, which is not a big deal for large companies such as ABB or EMERSON, it is very difficult for small companies or emerging companies in the early stages of establishment; third, the NDIR scheme uses a micro-sound film sensor with a fixed gas concentration , so the detection range of a sensor does not exceed 3 orders of magnitude (such as 0.01% to 9%), which is not suitable for occasions where the concentration of the gas to be measured changes greatly; fourth, in this scheme, a sensor can only measure one kind of gas, and it is necessary to detect many Multiple sensors are required for each type of gas, and the cost is high

[0015] However, the separation of different pulses of a signal channel usually uses a synchronous signal combined with peak detection technology. Due to the large time constant of the infrared sensor, the change of the peak value of the previous pulse will affect the shape of the subsequent pulse, resulting in nonlinear distortion, making the subsequent pulse Generate peaks and generate potential shifts

For single-component detection, this will affect the stability of the reference pulse and limit the detection of the limit content; for multi-component detection, it will also cause interference between gases caused by non-spectral overlap between components, which is also a single component. Bottleneck in the Application of Infrared Detectors in Multi-component Gas Detection