CN109444068B - Fuzzy predictive control analysis system of infrared carbon and sulfur analyzer - Google Patents
Fuzzy predictive control analysis system of infrared carbon and sulfur analyzer Download PDFInfo
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims description 43
- 229910052799 carbon Inorganic materials 0.000 title claims description 43
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 title claims description 42
- 229910052717 sulfur Inorganic materials 0.000 title claims description 42
- 239000011593 sulfur Substances 0.000 title claims description 42
- 239000007789 gas Substances 0.000 claims abstract description 157
- 238000001514 detection method Methods 0.000 claims abstract description 71
- 238000002485 combustion reaction Methods 0.000 claims abstract description 35
- 238000012937 correction Methods 0.000 claims abstract description 23
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 14
- YQCIWBXEVYWRCW-UHFFFAOYSA-N methane;sulfane Chemical compound C.S YQCIWBXEVYWRCW-UHFFFAOYSA-N 0.000 claims abstract description 14
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 14
- 239000001301 oxygen Substances 0.000 claims abstract description 14
- PNVBTTRFUJULII-UHFFFAOYSA-N [C].[Pt]=S Chemical compound [C].[Pt]=S PNVBTTRFUJULII-UHFFFAOYSA-N 0.000 claims description 28
- 238000000034 method Methods 0.000 claims description 17
- 238000010521 absorption reaction Methods 0.000 claims description 10
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 7
- 230000005855 radiation Effects 0.000 claims description 7
- DSVGQVZAZSZEEX-UHFFFAOYSA-N [C].[Pt] Chemical compound [C].[Pt] DSVGQVZAZSZEEX-UHFFFAOYSA-N 0.000 claims description 3
- 238000009825 accumulation Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 229910052745 lead Inorganic materials 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 239000001569 carbon dioxide Substances 0.000 claims description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims 1
- 229910002091 carbon monoxide Inorganic materials 0.000 claims 1
- 230000032683 aging Effects 0.000 abstract description 6
- 238000005259 measurement Methods 0.000 abstract description 5
- 230000007613 environmental effect Effects 0.000 abstract description 3
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 20
- 229910002092 carbon dioxide Inorganic materials 0.000 description 15
- 238000010438 heat treatment Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3504—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/00584—Control arrangements for automatic analysers
Abstract
The invention discloses a fuzzy predictive control analysis system of an infrared carbon-sulfur analyzer, which is used for solving the problem of how to solve the environmental temperatureThe device comprises an automatic sample introduction module, a high-frequency combustion furnace, an oxygen supply module, a gas delivery module, a flow control module, an infrared detection pool, a data acquisition module, an analysis module, a processor, a display module and a storage module, wherein the analysis result is influenced by different analysis gas flow rates and the problem that the measurement result has errors due to long-time use aging of a detection unit is solved; using the formula ZCi ═ Ci + Ci × ln [ (Qi-Qb) × k1+ (Ti-Tb) × k2+ (Pi-Pb) × k3+ Gi × k4 + (Pi-Pb) × k3+]u1Obtaining CO2True gas concentration value ZCi; the real value of the gas concentration is obtained, so that the influence on the analysis result caused by the ambient temperature, the partial pressure of the gas, the sample weight and the airflow is reduced, the accuracy and the precision of the analysis result are improved, and the correction coefficient u1 is obtained by utilizing a fuzzy prediction formula, so that the error of the measurement result caused by long-time use and aging of the detection unit is reduced.
Description
Technical Field
The invention relates to the technical field of infrared carbon and sulfur detection and analysis, in particular to a fuzzy prediction control analysis system of an infrared carbon and sulfur analyzer.
Background
Carbon and sulfur in a sample of the infrared carbon and sulfur analyzer are oxidized into carbon dioxide and sulfur dioxide gas through high-temperature heating under the oxygen-enriched condition. The gas enters a corresponding absorption cell after being processed, corresponding infrared radiation is absorbed, the gas is transmitted to a signal by a detector, and a result is processed and output by a computer. The method has the characteristics of accuracy, rapidness and high sensitivity, the high and low carbon sulfur contents are used, and the infrared carbon sulfur analyzer adopting the method has higher automation degree and is suitable for occasions with higher analysis precision requirements. The principle of analysis of infrared carbon-sulfur analyzer is that the sample is passed through oxygen in high-temp. furnace and burned to generate and release CO2 and SO2 gases, SO that the separation of carbon-sulfur element from metal element and its compound can be implemented, then the contents of CO2 and SO2 can be measured, and the carbon-sulfur content in the sample can be converted.
The existing infrared carbon and sulfur analyzer is affected by the environmental temperature, the sample weight and the airflow flow, the heating light intensity and the fluctuation of an infrared detector can be caused at different temperatures, the analysis result is affected, and when the weight of a low-content sample is small, the sample weight needs to be increased to increase the accuracy and precision of detection; the stability of the gas stream flow is critical to infrared carbon sulfur meters, particularly with respect to the impact of carbon data. The carbon results are generally in the following rule with the flow rate: when the flow value becomes low, the carbon data becomes higher, and the release curve becomes lower and thicker; the flow value becomes high and the carbon data becomes low.
Disclosure of Invention
The invention aims to provide a fuzzy prediction control analysis system of an infrared carbon-sulfur analyzer.
The technical problem to be solved by the invention is as follows:
(1) how to solve the problem that the difference of environmental temperature, partial pressure, sample weight and analysis airflow flow can affect the analysis result;
(2) how to reduce the error of the measuring result caused by the aging of the detecting unit after long-time use;
(3) how to clear useless data and ensure reasonable storage.
The purpose of the invention can be realized by the following technical scheme: a fuzzy prediction control analysis system of an infrared carbon and sulfur analyzer comprises an automatic sample introduction module, a high-frequency combustion furnace, an oxygen supply module, a gas conveying module, a flow control module, an infrared detection pool, a data acquisition module, an analysis module, a processor, a display module and a storage module;
the automatic sample introduction module is used for automatically conveying a sample to be detected into the high-frequency combustion furnace; the oxygen supply module is used for supplying oxygen to the high-frequency combustion furnace; the gas conveying module is used for conveying gas after the sample to be detected is burnt in the high-frequency combustion furnace into the infrared detection pool, and the flow control module is used for controlling the gas flow of the gas after the sample to be detected is burnt in the high-frequency combustion furnace conveyed by the gas conveying module; the infrared detection pool is used for detecting the concentration of absorbed carbon and sulfur gas in the gas after the sample to be detected is combusted in the frequency combustion furnace, and comprises a platinum carbon and sulfur analysis pool, a high-precision infrared light source, a narrow-band optical filter, an infrared detector, a detection unit and a sending module; the detection process of the infrared detection cell comprises the following steps:
a: conveying gas generated after a sample to be detected is combusted in the high-frequency combustion furnace into a platinum carbon sulfur analysis pool; setting the length of the platinum carbon sulfur analysis pool as L;
b: the high-precision infrared light source is electrically heated to 800 ℃ to generate infrared light;
c: the infrared light is incident to the platinum carbon sulfur analysis cell, and the intensity of the incident infrared light is set and recorded as I0Jing C02And S02After gas absorption;
d: filtering by a narrow-band filter to remove the energy of other light radiation outside the wavelength, and then making the light radiation incident on an infrared detector; the infrared light mark detected by the infrared detector is the emergent light intensity of infrared light; is marked as I1；
e: the detection unit is used for detecting the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light0And the intensity of the infrared emergent light I1(ii) a The detection unit detects the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light0And the intensity of the infrared emergent light I1Sending the data to a sending module;
f: the sending module receives the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light sent by the detection unit0And the intensity of the infrared emergent light I1Data and utilization
Calculating to obtain C02The initial concentration of gas Ci; wherein i is 1 … … n; g (. lamda.) is C02The absorption coefficient of the gas is a fixed preset value; in the same way, using the formula
Obtaining S02Initial gas concentration Di, i ═ 1 … … n; wherein h (λ) is S02The absorption coefficient of the gas is a fixed preset value; i is2For detecting SO2The incident light intensity of infrared light when in gas; i is3For detecting SO2The emergent light intensity of infrared light during gas generation;
the data acquisition module is used for acquiring C02Initial concentration Ci of gas, S02The gas initial concentration Di and the flow control module control the gas conveying module to convey the airflow, the ambient temperature and the platinum carbon sulfur analysis of the gas after the sample to be detected is burnt in the high-frequency combustion furnaceThe partial pressure of the gas after the sample to be detected in the pool and the weight of the sample to be detected are marked as collected data; the data acquisition module sends the acquired data to the analysis module, the analysis module receives the acquired data sent by the data acquisition module and analyzes the acquired data, and the analysis steps are as follows:
the method comprises the following steps: setting a flow control module to control a gas conveying module to convey the gas to be detected in the high-frequency combustion furnace, and recording the gas flow of the gas as Qi, wherein i is 1 … … n; the ambient temperature is recorded as Ti, i is 1 … … n; the partial pressure of the gas after the sample to be detected in the platinum carbon sulfur analysis cell is recorded as Pi, i is 1 … … n; the weight of the sample to be detected is recorded as Gi, i is 1 … … n;
step two: setting preset coefficient values for Qi, Ti, Pi and Gi, setting the preset coefficient value of Qi as K1, the preset coefficient value of Ti as K2, the preset coefficient value of Pi as K3 and the preset coefficient value of Gi as K4;
step three: formula ZCi ═ Ci + Ci × ln [ (Qi-Qb) × k1+ (Ti-Tb) × k2+ (Pi-Pb) × k3+ Gi × k4 + (Pi-Pb) × k3+]u1Obtaining CO2True gas concentration value ZCi; wherein Qb, Tb and Pb are respectively an airflow flow standard value, an environment temperature standard value and a gas partial pressure standard value; u1 is a correction coefficient; labeled as correction factor u 1;
step four: similarly, ZDi ═ Di + Di × ln [ (Qi-Qb) × k1+ (Ti-Tb) × k2+ (Pi-Pb) × k3+ Gi × k4]u1Obtaining SO2The true gas concentration value ZDi.
Preferably, the data acquisition module further comprises a statistical unit, the statistical unit is used for counting the calculation times and the power-on time of the monitoring unit, and the statistical unit specifically counts the following steps:
s1: setting the number of times of use of the detection unit as Y; the power-on time of the detection unit is recorded as W;
s2: when the detection unit detects the incident light intensity of infrared light for 1 time and the emergent light intensity of infrared light for 1 time and outputs corresponding values, the detection unit is marked as 1 time of use, and then the use times Y of the detection unit is obtained through accumulation;
s3: setting the energization start time of the detecting unit as W1i(ii) a1, 1 … … n; when the detecting unit is powered offIs marked as W2i；i＝1……n；
S4: using sum formulae
Acquiring the electrifying time W of the detection unit;
s5: the counting unit sends the using times Y of the detection unit and the power-on time W of the detection unit to the analysis module.
Preferably, the analysis module includes a fuzzy prediction calculation unit therein, the fuzzy prediction calculation unit is configured to calculate the correction coefficient u1, and the fuzzy prediction calculation unit includes the following specific calculation steps:
the method comprises the following steps: receiving the number of times of use Y of the detection unit and the power-on time W of the detection unit;
step two: using fuzzy predictive formulas
Obtaining a correction coefficient u1, wherein uj is a correction coefficient base value; a1, a2, a3 and a4 are preset proportionality coefficient fixed values of the using times Y of the detecting units and the power-on time W of the detecting units.
Preferably, the analysis module sends the calculated gas concentration true value to the processor, and the processor receives the gas concentration true value sent by the analysis module and converts the gas concentration true value into the carbon and sulfur content through linear operation; the processor sends the real gas concentration value and the carbon and sulfur content to the storage module and the display module; the display module receives and displays the real gas concentration value and the carbon and sulfur content sent by the processor, the storage module receives and stores the real gas concentration value and the carbon and sulfur content sent by the processor, and the storage module comprises an access recording unit, a storage life unit and a deleting unit; the access recording unit is used for counting the access times of the access gas concentration reality and the carbon and sulfur content; the storage life unit is used for calculating the actual gas concentration and the storage date of the carbon and sulfur content, and comprises the following specific calculation steps:
the method comprises the following steps: setting the real concentration of the stored gas and the carbon and sulfur content as Fi, i being 1 … … n; setting a basic storage period as Ma; setting the size value corresponding to Fi as Ni, wherein i is 1 … … n; setting the access times of Fi as Ri, i is 1 … … n;
step two: calculating Mi + Ri m1-Ni m2 by using a formula to obtain a storage time limit Mi; wherein m1 and m2 are fixed values of preset proportionality coefficients; when the number of access times Ri is more, the storage period Mi is larger, namely, the storage time is longer, and when the value of Ni is larger, namely, the stored memory is larger, the stored storage period Mi is smaller;
step three: sending the storage deadline Mi to a deleting unit;
the deleting unit is used for judging the storage period and deleting the storage period, and the specific deleting process is as follows:
a: setting Fi storage time as Ui; the current date of the system is marked as Vi;
b: and when Vi-Ui is larger than or equal to Mi +3, the deleting unit deletes the stored gas concentration reality and the carbon and sulfur content Fi.
The invention has the beneficial effects that:
(1) the flow rate and the ambient temperature of the gas after the gas conveying module is controlled by the collecting flow control module to convey the sample to be detected in the high-frequency combustion furnace, the partial pressure of the gas after the sample to be detected in the platinum carbon sulfur analysis pool and the weight of the sample to be detected are calculated, and the formula ZCi is Ci + Ci l n [ (Qi-Qb) k1+ (Ti-Tb) k2+ (Pi-Pb) k3+ Gi k4]u1Obtaining CO2True gas concentration value ZCi; the true value of the gas concentration is obtained, so that the influence on the analysis result caused by the ambient temperature, the partial pressure of the gas, the sample weight and the airflow is reduced, and the accuracy and precision of the analysis result are improved;
(2) using fuzzy predictive formulas
Obtaining a correction coefficient u1, obtaining a correction coefficient u1 by using a fuzzy prediction formula, and calculating a correction coefficient u1, so that the error of a measurement result caused by long-time use aging of a detection unit is reduced, and the accuracy of the whole analysis result is reduced;
(3) calculating Mi + Ri m1-Ni m2 by using a formula to obtain a storage time limit Mi; wherein m1 and m2 are fixed values of preset proportionality coefficients; when the number of access times Ri is more, the storage period Mi is larger, namely, the storage time is longer, and when the value of Ni is larger, namely, the stored memory is larger, the stored storage period Mi is smaller; and when Vi-Ui is larger than or equal to Mi +3, the deleting unit deletes the stored real gas concentration and the carbon and sulfur content Fi, and useful data are conveniently stored by reasonably deleting useless data.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a fuzzy predictive control analysis system of an infrared carbon sulfur analyzer according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a fuzzy predictive control analysis system of an infrared carbon-sulfur analyzer, which includes an automatic sample introduction module, a high-frequency combustion furnace, an oxygen supply module, a gas delivery module, a flow control module, an infrared detection cell, a data acquisition module, an analysis module, a processor, a display module, and a storage module;
the automatic sample introduction module is used for automatically conveying a sample to be detected into the high-frequency combustion furnace; the oxygen supply module is used for supplying oxygen to the high-frequency combustion furnace; the gas conveying module is used for conveying gas after the sample to be detected is combusted in the high-frequency combustion furnace into the infrared detection pool, and the flow control module is used for controlling the gas flow of the gas after the sample to be detected is combusted in the high-frequency combustion furnace; the infrared detection pool is used for detecting the concentration of absorbed carbon and sulfur gas in the gas after the sample to be detected is combusted in the frequency combustion furnace, and comprises a platinum carbon and sulfur analysis pool, a high-precision infrared light source, a narrow-band optical filter, an infrared detector, a detection unit and a sending module; the detection process of the infrared detection cell comprises the following steps:
a: conveying gas generated after a sample to be detected is combusted in the high-frequency combustion furnace into a platinum carbon sulfur analysis pool; setting the length of the platinum carbon sulfur analysis pool as L;
b: the high-precision infrared light source is electrically heated to 800 ℃ to generate infrared light;
c: the infrared light is incident to the platinum carbon sulfur analysis cell, and the intensity of the incident infrared light is set and recorded as I0Jing C02And S02After gas absorption;
d: filtering by a narrow-band filter to remove the energy of other light radiation outside the wavelength, and then making the light radiation incident on an infrared detector; the infrared light mark detected by the infrared detector is the emergent light intensity of infrared light; is marked as I1；
e: the detection unit is used for detecting the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light0And the intensity of the infrared emergent light I1(ii) a The detection unit detects the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light0And the intensity of the infrared emergent light I1Sending the data to a sending module;
f: the sending module receives the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light sent by the detection unit0And the intensity of the infrared emergent light I1Data and utilization
Calculating to obtain C02The initial concentration of gas Ci; wherein i is 1 … … n; g (. lamda.) is C02The absorption coefficient of the gas is a fixed preset value; in the same way, using the formula
Obtaining S02Initial gas concentration Di, i ═ 1 … … n; wherein h (λ) is S02The absorption coefficient of the gas is a fixed preset value; i is2For detecting SO2The incident light intensity of infrared light when in gas; i is3For detecting SO2The emergent light intensity of infrared light during gas generation;
the data acquisition module is used for acquiring C02Initial concentration Ci of gas, S02The gas initial concentration Di and the flow control module control the gas conveying module to convey the airflow of the gas after the sample to be detected is burnt in the high-frequency combustion furnace, the ambient temperature, the partial pressure of the gas after the sample to be detected in the platinum carbon sulfur analysis pool and the weight of the sample to be detected, and the gas initial concentration Di and the flow control module mark the gas flow, the ambient temperature, the partial pressure of the gas after the sample to be detected; the data acquisition module sends the acquired data to the analysis module, the analysis module receives the acquired data sent by the data acquisition module and analyzes the acquired data, and the analysis steps are as follows:
the method comprises the following steps: setting a flow control module to control a gas conveying module to convey the gas to be detected in the high-frequency combustion furnace, and recording the gas flow of the gas as Qi, wherein i is 1 … … n; the ambient temperature is recorded as Ti, i is 1 … … n; the partial pressure of the gas after the sample to be detected in the platinum carbon sulfur analysis cell is recorded as Pi, i is 1 … … n; the weight of the sample to be detected is recorded as Gi, i is 1 … … n;
step two: setting preset coefficient values for Qi, Ti, Pi and Gi, setting the preset coefficient value of Qi as K1, the preset coefficient value of Ti as K2, the preset coefficient value of Pi as K3 and the preset coefficient value of Gi as K4;
step three: formula ZCi ═ Ci + Ci × ln [ (Qi-Qb) × k1+ (Ti-Tb) × k2+ (Pi-Pb) × k3+ Gi × k4 + (Pi-Pb) × k3+]u1Obtaining CO2True gas concentration value ZCi; wherein Qb, Tb and Pb are respectively an airflow flow standard value, an environment temperature standard value and a gas partial pressure standard value; u1 is a correction coefficient; labeled as correction factor u 1;
step four: similarly, ZDi ═ Di + Di × ln [ (Qi-Qb) × k1+ (Ti-Tb) × k2+ (Pi-Pb) × k3+ Gi × k4]u1Obtaining SO2The true gas concentration value ZDi; the gas flow rate and the ambient temperature of the gas after the gas conveying module is controlled by the collecting and flow control module to convey the sample to be detected to the high-frequency combustion furnace, the partial pressure of the gas after the sample to be detected is burnt in the platinum carbon sulfur analysis pool and the weight of the sample to be detected are calculated, and then the true value of the gas concentration is obtained, so that the influence on the analysis result due to the ambient temperature, the partial pressure of the gas, the weight of the sample and the gas flow rate is reduced, and the accuracy and precision of the analysis result are improved;
the data acquisition module also comprises a statistical unit, the statistical unit is used for counting the calculation times and the electrifying time of the monitoring unit, and the statistical unit specifically comprises the following statistical steps:
s1: setting the number of times of use of the detection unit as Y; the power-on time of the detection unit is recorded as W;
s2: when the detection unit detects the incident light intensity of infrared light for 1 time and the emergent light intensity of infrared light for 1 time and outputs corresponding values, the detection unit is marked as 1 time of use, and then the use times Y of the detection unit is obtained through accumulation;
s3: setting the energization start time of the detecting unit as W1i(ii) a1, 1 … … n; the power-off time of the detection unit is recorded as W2i；i＝1……n；
S4: using sum formulae
Acquiring the electrifying time W of the detection unit;
s5: the counting unit sends the using times Y of the detection unit and the power-on time W of the detection unit to the analysis module.
The analysis module internally comprises a fuzzy prediction calculation unit which is used for calculating a correction coefficient u1, and the specific calculation steps of the fuzzy prediction calculation unit are as follows:
the method comprises the following steps: receiving the number of times of use Y of the detection unit and the power-on time W of the detection unit;
step two: using fuzzy predictive formulas
Obtaining a correction coefficient u1, wherein uj is a correction coefficient base value; a1, a2, a3 and a4 are preset proportionality coefficient fixed values of the using times Y of the detection units and the power-on time W of the detection units; the correction coefficient u1 is obtained by utilizing a fuzzy prediction formula, and the correction coefficient u1 is calculated, so that the error of the measurement result caused by long-time use aging of the detection unit is reduced, and the accuracy of the whole analysis result is reduced;
the analysis module sends the calculated gas concentration real value to the processor, and the processor receives the gas concentration real value sent by the analysis module and converts the gas concentration real value into the carbon and sulfur content through linear operation; the processor sends the real gas concentration value and the carbon and sulfur content to the storage module and the display module; the display module receives and displays the real gas concentration value and the carbon and sulfur content sent by the processor, the storage module receives and stores the real gas concentration value and the carbon and sulfur content sent by the processor, and the storage module comprises an access recording unit, a storage period unit and a deleting unit; the access recording unit is used for counting the access times of the access gas concentration reality and the carbon and sulfur content; the storage life unit is used for calculating the actual gas concentration and the storage date of the carbon and sulfur content, and comprises the following specific calculation steps:
the method comprises the following steps: setting the real concentration of the stored gas and the carbon and sulfur content as Fi, i being 1 … … n; setting a basic storage period as Ma; setting the size value corresponding to Fi as Ni, wherein i is 1 … … n; setting the access times of Fi as Ri, i is 1 … … n;
step two: calculating Mi + Ri m1-Ni m2 by using a formula to obtain a storage time limit Mi; wherein m1 and m2 are fixed values of preset proportionality coefficients; when the number of access times Ri is more, the storage period Mi is larger, namely, the storage time is longer, and when the value of Ni is larger, namely, the stored memory is larger, the stored storage period Mi is smaller;
step three: sending the storage deadline Mi to a deleting unit;
the deleting unit is used for judging the storage period and deleting the storage period, and the specific deleting process is as follows:
a: setting Fi storage time as Ui; the current date of the system is marked as Vi;
b: and when Vi-Ui is larger than or equal to Mi +3, the deleting unit deletes the stored real gas concentration and the carbon and sulfur content Fi, and useful data are conveniently stored by reasonably deleting useless data.
The working principle of the invention is as follows: delivering the sample to be detected into a high-frequency combustion furnace through an automatic sample introduction module, and then delivering oxygen into the high-frequency combustion furnace through an oxygen supply module; after the sample to be detected is fully combusted, the gas conveying module combusts the high-frequency combustion furnaceConveying the gas after burning the sample to be detected into an infrared detection pool, and controlling the gas flow of the gas after burning the sample to be detected in a high-frequency combustion furnace by a flow control module; detecting the carbon and sulfur concentration of the gas by an infrared detection pool; acquiring the acquired data through a data acquisition data module, sending the acquired data to an analysis module for analysis to obtain the concentration of carbon and sulfur gas, and then converting to obtain the content percentage of carbon and sulfur; the flow rate and the ambient temperature of the gas after the gas conveying module is controlled by the collecting flow control module to convey the sample to be detected in the high-frequency combustion furnace, the partial pressure of the gas after the sample to be detected in the platinum carbon sulfur analysis pool and the weight of the sample to be detected are calculated, and the formula ZCi is Ci + Ci l n [ (Qi-Qb) k1+ (Ti-Tb) k2+ (Pi-Pb) k3+ Gi k4]u1Obtaining CO2True gas concentration value ZCi; the true value of the gas concentration is obtained, so that the influence on the analysis result caused by the ambient temperature, the partial pressure of the gas, the sample weight and the airflow is reduced, and the accuracy and precision of the analysis result are improved; using fuzzy predictive formulas
Obtaining a correction coefficient u1, obtaining a correction coefficient u1 by using a fuzzy prediction formula, and calculating a correction coefficient u1, so that the error of a measurement result caused by long-time use aging of a detection unit is reduced, and the accuracy of the whole analysis result is reduced; calculating Mi + Ri m1-Ni m2 by using a formula to obtain a storage time limit Mi; wherein m1 and m2 are fixed values of preset proportionality coefficients; when the number of access times Ri is more, the storage period Mi is larger, namely, the storage time is longer, and when the value of Ni is larger, namely, the stored memory is larger, the stored storage period Mi is smaller; and when Vi-Ui is larger than or equal to Mi +3, the deleting unit deletes the stored real gas concentration and the carbon and sulfur content Fi, and useful data are conveniently stored by reasonably deleting useless data.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (3)
1. A fuzzy prediction control analysis system of an infrared carbon-sulfur analyzer is characterized by comprising an automatic sample introduction module, a high-frequency combustion furnace, an oxygen supply module, a gas conveying module, a flow control module, an infrared detection pool, a data acquisition module, an analysis module, a processor, a display module and a storage module;
the automatic sample introduction module is used for automatically feeding a sample to be detected into the high-frequency combustion furnace; the oxygen supply module is used for supplying oxygen to the high-frequency combustion furnace; the gas conveying module is used for conveying gas after the sample to be detected is burnt in the high-frequency combustion furnace into the infrared detection pool, and the flow control module is used for controlling the gas flow of the gas after the sample to be detected is burnt in the high-frequency combustion furnace conveyed by the gas conveying module; the infrared detection pool is used for detecting the concentration of absorbed carbon and sulfur gas in the gas after the sample to be detected is combusted in the high-frequency combustion furnace, and comprises a platinum carbon and sulfur analysis pool, a high-precision infrared light source, a narrow-band optical filter, an infrared detector, a detection unit and a sending module; the detection process of the infrared detection cell comprises the following steps:
a: conveying gas generated after a sample to be detected is combusted in the high-frequency combustion furnace into a platinum carbon sulfur analysis pool; setting the length of the platinum carbon sulfur analysis pool as L;
b: the high-precision infrared light source is electrically heated to 800 ℃ to generate infrared light;
c: the infrared light is incident to the platinum carbon sulfur analysis cell, and the intensity of the incident infrared light is set and recorded as I0From carbon monoxide to carbon dioxide2And SO2After gas absorption;
d: filtering by a narrow-band filter to remove the energy of other light radiation outside the infrared wavelength, and then making the light radiation incident on an infrared detector; the infrared detector marks the intensity of the detected infrared light as the emergent light intensity of the infrared light; is marked as I1；
e: the detection unit is used for detecting the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light0And the intensity of the infrared emergent light I1(ii) a Detection unitThe length L of the detected platinum carbon sulfur analysis cell and the incident light intensity I of infrared light0And the intensity of the infrared emergent light I1Sending the data to a sending module;
f: the sending module receives the length L of the platinum carbon sulfur analysis cell and the incident light intensity I of infrared light sent by the detection unit0And the intensity of the infrared emergent light I1Data and utilization
Calculating to obtain CO2The initial concentration of gas Ci; wherein i is 1 … … n; g (lambda) is CO2The absorption coefficient of the gas is a fixed preset value; in the same way, using the formula
Obtaining SO2Initial gas concentration Di, i ═ 1 … … n; wherein h (lambda) is SO2The absorption coefficient of the gas is a fixed preset value; i is2For detecting SO2The incident light intensity of infrared light when in gas; i is3For detecting SO2The emergent light intensity of infrared light during gas generation;
the data acquisition module is used for acquiring CO2Initial concentrations Ci, SO of the gases2The gas initial concentration Di and the flow control module control the gas conveying module to convey the airflow, the ambient temperature, the partial pressure of the gas in the platinum carbon sulfur analysis pool and the weight of the sample to be detected after the sample to be detected is burnt in the high-frequency combustion furnace, and the gas conveying module marks the airflow, the ambient temperature, the partial pressure of the gas in the platinum carbon sulfur analysis pool and the weight of the sample to be detected as collected data; the data acquisition module sends the acquired data to the analysis module, the analysis module receives the acquired data sent by the data acquisition module and analyzes the acquired data, and the analysis steps are as follows:
the method comprises the following steps: setting a flow control module to control a gas conveying module to convey the gas to be detected in the high-frequency combustion furnace, and recording the gas flow of the gas as Qi, wherein i is 1 … … n; the ambient temperature is recorded as Ti, i is 1 … … n; recording the partial pressure of gas in the platinum carbon sulfur analysis pool as Pi, i is 1 … … n; the weight of the sample to be detected is recorded as Gi, i is 1 … … n;
step two: setting preset coefficient values for Qi, Ti, Pi and Gi, setting the preset coefficient value of Qi as K1, the preset coefficient value of Ti as K2, the preset coefficient value of Pi as K3 and the preset coefficient value of Gi as K4;
step three: formula ZCi ═ Ci + Ci × ln [ (Qi-Qb) × k1+ (Ti-Tb) × k2+ (Pi-Pb) × k3+ Gi × k4 + (Pi-Pb) × k3+]u1Obtaining CO2True gas concentration value ZCi; wherein Qb, Tb and Pb are respectively an airflow flow standard value, an environment temperature standard value and a gas partial pressure standard value; u1 is a correction coefficient;
step four: similarly, ZDi ═ Di + Di × ln [ (Qi-Qb) × k1+ (Ti-Tb) × k2+ (Pi-Pb) × k3+ Gi × k4]u1Obtaining SO2The true gas concentration value ZDi;
the analysis module comprises a fuzzy prediction calculation unit inside, the fuzzy prediction calculation unit is used for calculating a correction coefficient u1, and the specific calculation steps of the fuzzy prediction calculation unit are as follows:
the method comprises the following steps: receiving the number of times of use Y of the detection unit and the power-on time W of the detection unit;
step two: using fuzzy predictive formulas
Obtaining a correction coefficient u1, wherein uj is a correction coefficient base value; a1, a2, a3 and a4 are preset proportionality coefficient fixed values of the using times Y of the detecting units and the power-on time W of the detecting units.
2. The fuzzy predictive control analysis system of the infrared carbon sulfur analyzer according to claim 1, wherein the data acquisition module further comprises a statistical unit for counting the number of times of calculation and the power-on time of the monitoring unit, and the statistical unit specifically performs the following statistical steps:
s1: setting the number of times of use of the detection unit as Y; the power-on time of the detection unit is recorded as W;
s2: when the detection unit detects the incident light intensity of infrared light for 1 time and the emergent light intensity of infrared light for 1 time and outputs corresponding values, the detection unit is marked as 1 time of use, and then the use times Y of the detection unit is obtained through accumulation;
s3: setting the energization start time of the detecting unit as W1i(ii) a1, 1 … … n; the power-off time of the detection unit is recorded as W2i；i＝1……n；
S4: using sum formulae
Acquiring the electrifying time W of the detection unit;
s5: the counting unit sends the using times Y of the detection unit and the power-on time W of the detection unit to the analysis module.
3. The fuzzy predictive control analysis system of the infrared carbon sulfur analyzer as claimed in claim 1, wherein said analysis module sends the calculated actual gas concentration value to the processor, and the processor receives the actual gas concentration value sent by the analysis module and converts the actual gas concentration value into the carbon sulfur content through linear operation; the processor sends the real gas concentration value and the carbon and sulfur content to the storage module and the display module; the display module receives and displays the real gas concentration value and the carbon and sulfur content sent by the processor, the storage module receives and stores the real gas concentration value and the carbon and sulfur content sent by the processor, and the storage module comprises an access recording unit, a storage life unit and a deleting unit; the access recording unit is used for counting the access times of the actual value of the access gas concentration and the carbon and sulfur content; the storage life unit is used for calculating the true value of the gas concentration and the storage date of the carbon and sulfur content, and comprises the following specific calculation steps:
the method comprises the following steps: setting a true value of the concentration of the stored gas and a mark of the content of carbon and sulfur as Fi, i being 1 … … n; setting a basic storage period as Ma; setting the size value corresponding to Fi as Ni, wherein i is 1 … … n; setting the access times of Fi as Ri, i is 1 … … n;
step two: calculating Mi + Ri m1-Ni m2 by using a formula to obtain a storage time limit Mi; wherein m1 and m2 are fixed values of preset proportionality coefficients; when the number of access times Ri is more, the storage period Mi is larger, namely, the storage time is longer, and when the value of Ni is larger, namely, the stored memory is larger, the stored storage period Mi is smaller;
step three: sending the storage deadline Mi to a deleting unit;
the deleting unit is used for judging the storage period and deleting the storage period, and the specific deleting process is as follows:
a: setting Fi storage time as Ui; the current date of the system is marked as Vi;
b: and when the Vi-Ui is more than or equal to Mi +3, the deleting unit deletes the stored true gas concentration value and the carbon and sulfur content Fi.
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Denomination of invention: A Fuzzy Predictive Control Analysis System for Infrared Carbon and Sulfur Analyzer Effective date of registration: 20230808 Granted publication date: 20201215 Pledgee: China Postal Savings Bank Co.,Ltd. Langxi County Branch Pledgor: LANGXI JIEBO ELECTRIC APPLIANCE TECHNOLOGY Co.,Ltd. Registration number: Y2023980051262 |