CN111751510A - TOC detection method of multi-channel induction noise reduction compensation reduction algorithm - Google Patents
TOC detection method of multi-channel induction noise reduction compensation reduction algorithm Download PDFInfo
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Abstract
The invention discloses a TOC detection method of a multi-channel induction noise reduction compensation reduction algorithm, which comprises the steps of setting a CO auxiliary sensor and a CO2 main sensor, simultaneously acquiring sensor response data under ambient air, and calculating CO correction data under the ambient air and CO2 correction data under the ambient air. According to the method, the data of the environmental air are filtered, the response result of the liquid to be detected in the independent state is calculated, the overlapping influence of CO and CO2 gas in the air on detection and detection is eliminated, the problem that the TOC detection result is wrong due to insufficient combustion and incomplete environmental air treatment is effectively avoided, and the accuracy and the reliability of the TOC detection result are improved.
Description
Technical Field
The invention relates to the technical field of TOC detection, in particular to a TOC detection method of a multi-channel induction noise reduction compensation reduction algorithm.
Background
At present, most of water quality detection adopts a chemical method, but the chemical detection technology is based on chemical method oxidation, the detection process is complicated, the time consumption is long, the volume is large, the loss of chemical reagents can be caused, secondary chemical pollution can also be caused, the price is high, and real-time monitoring cannot be carried out.
The ultraviolet absorption method is a physical detection method, does not need chemical reaction, can realize small volume, low power consumption and high speed in ultraviolet absorption type monitoring, can monitor water quality on line, has wide application range, but still has the following problems aiming at the TOC detection equipment device on the market at present:
(1) besides N2, the ambient air also contains O2, H2O water vapor, CO and CO2 and some CH compounds, which can affect the accuracy of the experimental result;
(2) when the TOC content in water is detected, partial CO gas is generated due to insufficient combustion and incomplete ambient air treatment.
In view of this, there is an urgent need to improve the existing TOC detection method to facilitate the operation and improve the accuracy of the detection result.
Disclosure of Invention
The invention aims to solve the technical problem that the existing TOC detection method is poor in accuracy caused by insufficient combustion and carbohydrates in ambient air.
In order to solve the technical problem, the technical scheme adopted by the invention is to provide a TOC detection method of a multi-channel induction noise reduction compensation reduction algorithm, which comprises the following steps:
s1, introducing carrier gas of N2 and O2 into an oxidation furnace, and after the carrier gas passes through a condensation dehumidification unit, acquiring output data of a CO auxiliary sensor and a CO2 main sensor NDIR detection unit, and recording sensor response data Cco-h0 and Cco2-h0 under ambient air;
s2, according to calibration data of a CO secondary sensor and a CO2 main sensor, obtaining CO correction data C CO-h0 under ambient air, CO2 correction data C CO2-h0 under ambient air, CO correction data C CO-h1 under the combined action of ambient air and liquid to be measured, and CO2 correction data Cco2-h1 under the combined action of ambient air and liquid to be measured;
s3, calculating CO correction data under the environment air: CO2 corrected data under ambient air, C CO-h0 (Cco-h0) -K0 (Cco2-h 0): c CO2-h0 ═ Cco2-h0, CO correction data under the combined action of ambient air and liquid under test: CO2 correction data under the combined action of ambient air and liquid to be tested, C CO-h1 (Cco-h1) -K1 (Cco2-h 1): c co2-h1 ═ Cco2-h 1;
s4, filtering the data of the ambient air, and calculating the response result of the liquid to be measured in the single state:
△C*co-h1=(C*co-h1)-(C*co-h0)=[(Cco-h1)–K1*(Cco2-h1)]-[(Cco-h0)-K0*(Cco2-h0)],
△C*co2-h1=(Cco2-h1)-(Cco2-h0);
s5, the CO2 concentration Δ C × CO2-h1 corresponding to the CO concentration is reversely deduced from the mass ratio of CO to CO2, (CO (molecular weight 28) → CO2 (molecular weight 44)).
△C**co2-h1=(△C*co2-h1)+(△C*co-h1)*44/28。
△C**co2-h1=(Cco2-h1)-(Cco2-h0)+{[(Cco-h1)–K1*(Cco2-h1)]-[(Cco-h0)-K0*(Cco2-h0)]}*44/28。
In the technical scheme, the carrier gas of N2 and O2 is obtained by filtering and reacting in an impurity removal device and drying.
In the technical scheme, the impurity removal device comprises an activated carbon adsorption unit, a CO catalysis unit and a CaO2 drying unit.
In the technical scheme, the purity of the carrier gas of N2 and O2 formed after the carrier gas passes through the impurity removal device is at least 80%.
In the technical scheme, the activated carbon adsorption unit can remove CH compounds in the air, the CO catalytic unit can convert CO in the air into CO2, and the CaO2 drying unit is used for removing CO2 and H2O water vapor in the air.
In the above technical scheme, the edulcoration device can adopt the drying tube, the both ends of drying tube all are provided with the filter screen.
In the above technical solution, the carrier gas of N2 and O2 and the liquid to be measured are introduced into the oxidation furnace at the same time.
In the technical scheme, after the carrier gas of N2 and O2 is started for a preset time, the oxidation furnace, the CO auxiliary sensor and the CO2 main sensor are electrified.
Compared with the prior art, the TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm has the advantages that the CO auxiliary sensor and the CO2 main sensor are arranged, the sensor response data under the ambient air are collected at the same time, the CO correction data under the ambient air and the CO2 correction data under the ambient air are calculated, the data of the ambient air are filtered, the response result of the liquid to be detected under the independent state is calculated, the overlapping influence of CO and CO2 gas in the air on detection and detection is eliminated, the problem that the TOC detection result is wrong due to insufficient combustion and incomplete ambient air treatment is effectively solved, and the accuracy and the reliability of the TOC detection result are improved.
Drawings
FIG. 1 is a flow chart of a TOC detection method of a multi-channel inductive noise reduction compensation reduction algorithm according to the present invention;
FIG. 2 is a flow chart of a TOC detection method of the multi-channel inductive noise reduction compensation reduction algorithm of the present invention;
fig. 3 is a schematic structural diagram of a device of the TOC detection method of the multi-channel inductive noise reduction compensation reduction algorithm of the present invention.
Wherein, the correspondence between the reference numbers and the component names in fig. 1 to 3 is:
100 detection devices, 200 impurity removal devices, 300 connecting pipelines, 101 oxidation furnaces, 102 condensation water removal devices, 103CO2 main sensors, 104CO auxiliary sensors, 105 water-sealed tanks, 201 activated carbon adsorption units, 202CO catalytic units, 203CaO2 drying units and 204 air extraction pumps.
Detailed Description
The invention provides a TOC detection method of a multi-channel induction noise reduction compensation reduction algorithm, which can improve the accuracy and reliability of a detection result. The invention is described in detail below with reference to the drawings and the detailed description.
As shown in fig. 1, the TOC detection method of the multi-channel inductive noise reduction compensation reduction algorithm provided by the present invention includes the following steps:
s102, introducing carrier gases of N2 and O2 into an oxidation furnace 101, collecting output data of a CO auxiliary sensor 104 and a CO2 main sensor 103 after passing through a condensation and dehumidification unit, and recording sensor response data Cco-h0 and Cco2-h0 under ambient air;
step S104, according to calibration data of the CO auxiliary sensor 104 and the CO2 main sensor 103, obtaining CO correction data C CO-h0 under ambient air, CO2 correction data C CO2-h0 under ambient air, CO correction data C CO-h1 under the combined action of ambient air and liquid to be measured, and CO2 correction data Cco2-h1 under the combined action of ambient air and liquid to be measured;
step S106, calculating CO correction data under the environment air: CO2 corrected data under ambient air, C CO-h0 (Cco-h0) -K0 (Cco2-h 0): c CO2-h0 ═ Cco2-h0, CO correction data under the combined action of ambient air and liquid under test: CO2 correction data under the combined action of ambient air and liquid to be tested, C CO-h1 (Cco-h1) -K1 (Cco2-h 1): c co2-h1 ═ Cco2-h 1;
s108, filtering the data of the ambient air, and calculating the response result of the liquid to be measured in the independent state:
△C*co-h1=(C*co-h1)-(C*co-h0)=[(Cco-h1)–K1*(Cco2-h1)]-[(Cco-h0)-K0*(Cco2-h0)],
△C*co2-h1=(Cco2-h1)-(Cco2-h0);
in step S110, the CO2 concentration Δ C × CO2-h1 (CO (molecular weight 28) → CO2 (molecular weight 44)) corresponding to the CO concentration is reversely calculated from the mass ratio of CO to CO 2.
△C**co2-h1=(△C*co2-h1)+(△C*co-h1)*44/28。
△C**co2-h1=(Cco2-h1)-(Cco2-h0)+{[(Cco-h1)–K1*(Cco2-h1)]-[(Cco-h0)-K0*(Cco2-h0)]}*44/28。
In the embodiment, the CO2 main sensor 103 and the CO auxiliary sensor 104 are arranged, the sensor response data under the ambient air are collected at the same time, and the CO correction data under the ambient air and the CO2 correction data under the ambient air are calculated, so that the ambient air filtering data are realized, the response result of the liquid to be detected in an individual state is calculated, the overlapping influence of CO and CO2 gas in the air on detection and detection is eliminated, the problem that the TOC detection result is wrong due to insufficient combustion and incomplete ambient air treatment is effectively avoided, and the accuracy and the reliability of the TOC detection result are improved.
As shown in fig. 2, in an embodiment of the present invention, preferably, the apparatus used in the present invention includes a detection apparatus 100, a trash removal apparatus 200, and a connection pipe 300, and the detection apparatus 100 includes:
the oxidation furnace 101 is connected to the tail end of the impurity removal device 200 through a connecting pipeline 300, and water to be detected is introduced into the other inlet of the oxidation furnace 101;
a condensation water removal device 102 connected to the outlet of the oxidation furnace 101 through a connecting pipeline 300 for condensation water removal;
the CO2 main sensor 103 is connected with the condensation and water removal device 102 and used for acquiring response data of CO2 entering the CO2 main sensor 103;
and the CO secondary sensor 104 is connected with the condensate water removing device 102 and used for acquiring response data of CO entering the CO secondary sensor 104.
For example, the CO2 main sensor can adopt a Fuji motor ZFP9AB sensor, the CO auxiliary sensor can adopt a LARK-1CO sensor, and the connection pipeline can adopt a pu air pipe and a stainless steel air pipe.
As shown in fig. 3, in an embodiment of the present invention, the carrier gas of steps S100, N2 and O2 is preferably obtained by subjecting the carrier gas to a filtering reaction in a purification apparatus 200 and a drying process.
In this embodiment, the main function of the impurity removing device 200 is to provide relatively pure carrier gas of N2 and O2, when the air enters the impurity removing device 200, the air firstly passes through the activated carbon adsorption unit 201, and in the activated carbon adsorption unit 201, the particulate impurities in the air are adsorbed on the activated carbon, so as to achieve the purpose of removing the particulate impurities in the air; the CO catalyst can react at normal temperature, can convert CO in the air into CO2, omits complex control units such as heating, pressure and the like, improves the reaction efficiency and time, and the CaO2 drying unit 203 is connected to the output end of the CO catalytic unit 202 and is used for removing H20 and CO2 in the CO catalytic unit.
It is worth pointing out that, the pure inert gas or oxygen is directly used as the carrier gas, the gas cylinder is needed, but the use and storage conditions of the gas cylinder are harsh, the TOC in the water quality is not convenient to detect quickly, the method of air impurity removal is adopted, a pressure reducing valve is not needed, the volume of the equipment can be reduced, the CO catalyst and the active carbon particle filtering drying agent are convenient to replace, the price is low, the maintenance is convenient, the equipment cost is greatly reduced, complicated control units such as heating and pressure are omitted, and the reaction efficiency and time are improved.
In one embodiment of the present invention, preferably, the impurity removing device 200 comprises an activated carbon adsorption unit 201, a CO catalysis unit 202, and a CaO2 drying unit 203.
In one embodiment of the present invention, the carrier gas of N2 and O2 formed after passing through the impurity removing device 200 preferably has a gas purity of at least 80%.
In this embodiment, after air passes through the impurity removal device 200, the impurities of CO, CO2 and H2O are removed, so that carrier gases of N2 and O2 are formed, the purity of the gas is at least 80%, N2 is not suitable for reacting with other gases, and O2 has the oxidation effect.
In one embodiment of the present invention, preferably, the activated carbon adsorption unit 201 can remove CH compounds from the air, and then the CO catalytic unit 202 can convert CO from the air into CO2, and finally the CaO2 drying unit 203 can remove CO2 and H2O water vapor from the air.
In one embodiment of the present invention, preferably, the impurity removing device 200 may employ a drying pipe, and both ends of the drying pipe are provided with a filter screen.
In the embodiment, the drying tube is used for containing the activated carbon, the CO catalytic substance and the CaO2, is a common chemical experimental device, is convenient and practical, and is beneficial to saving cost.
In one embodiment of the present invention, the carrier gases of N2 and O2 are preferably introduced into the oxidation oven 101 simultaneously with the liquid to be tested.
In this embodiment, the carrier gases of N2 and O2 flow out through the impurity removal line and enter through one input end of the oxidation furnace 101, and simultaneously, the liquid to be measured is introduced into the other input end of the oxidation furnace 101.
In one embodiment of the present invention, it is preferable that the oxidation oven 101 and the CO secondary sensor 104 and the CO2 primary sensor 103 are energized after the carrier gas of N2 and O2 is turned on for a preset time.
In this embodiment, air is subjected to triple adsorption, filtration, reaction and drying by the activated carbon adsorption unit 201, the CO catalytic unit 202 and the CaO2 drying unit 203 to form relatively pure carrier gases of N2 and O2, which are continuously introduced into the oxidation furnace 101, and after condensation and dehumidification to remove water, output data of the CO secondary sensor 104 and the CO2 primary sensor 103 are collected, and sensor response data Cco-h0 and Cco2-h0 under ambient air are recorded.
In one embodiment of the present invention, preferably, the connecting pipeline 300 between the CaO2 drying device and the oxidation furnace 101 is further provided with a suction pump 204.
In this embodiment, the connecting pipeline 300 between the CaO2 drying device and the oxidation furnace 101 is further provided with the air extracting pump 204, and the air extracting pump 204 can rapidly suck air into the impurity removing device 200 to ensure that the carrier gases of N2 and O2 are continuously introduced into the oxidation furnace 101, so as to ensure that the carrier gases of N2 and O2 drive CO2 after the water to be detected reacts, thereby completing TOC detection of the water to be detected, and ensuring the accuracy and reliability of the detection result.
In one embodiment of the present invention, it is preferable that a temperature controller and a protection switch for protecting the circuit of the oxidation oven 101 are provided in the oxidation oven 101.
In this embodiment, a temperature controller is disposed in the oxidation oven 101, the temperature controller controls the temperature in the oxidation oven 101 to provide an environment for oxidizing the carbohydrates in the water to be detected, and a protection switch is disposed on the relay circuit for protecting the oxidation oven 101 circuit.
In one embodiment of the present invention, a water seal tank 105 is preferably connected to the condensate removal device 102 for receiving the condensate.
In this embodiment, a water sealed tank 105 is connected below the condensate water removing device 102 for receiving the condensate water.
In one embodiment of the present invention, it is preferable that adjacent two devices are hermetically connected, and the connection line 300 is hermetically connected to each device.
In this embodiment, any connection of the entire apparatus needs to be sealed to avoid gas leakage, thereby improving the accuracy and reliability of the detection result.
According to the TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm, the CO auxiliary sensor and the CO2 main sensor are arranged, the sensor response data under the ambient air are collected at the same time, the CO correction data under the ambient air and the CO2 correction data under the ambient air are calculated, the ambient air data are filtered, the response result of the liquid to be detected under the single state is calculated, the overlapping influence of CO and CO2 gas in the air on detection and detection is eliminated, the problem that the TOC detection result is wrong due to insufficient combustion and incomplete ambient air treatment is effectively avoided, and the accuracy and the reliability of the TOC detection result are improved.
In the present invention, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; the term "plurality" means two or more unless expressly limited otherwise. The terms "mounted," "connected," "fixed," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection; "coupled" may be direct or indirect through an intermediary. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The present invention is not limited to the above-mentioned preferred embodiments, and any structural changes made under the teaching of the present invention shall fall within the scope of the present invention, which is similar or similar to the technical solutions of the present invention.
Claims (8)
1. A TOC detection method of a multi-channel induction noise reduction compensation reduction algorithm is characterized by comprising the following steps:
s102, introducing carrier gas of N2 and O2 into an oxidation furnace, collecting output data of an NDIR detection unit of a CO auxiliary sensor and a CO2 main sensor after passing through a condensation and dehumidification unit, and recording sensor response data Cco-h0 and Cco2-h0 under ambient air;
s104, according to calibration data of a CO auxiliary sensor and a CO2 main sensor, obtaining CO correction data C CO-h0 under ambient air, CO2 correction data C CO2-h0 under ambient air, CO correction data C CO-h1 under the combined action of ambient air and liquid to be measured and CO2 correction data Cco2-h1 under the combined action of ambient air and liquid to be measured;
s106, calculating CO correction data under the ambient air: CO2 corrected data under ambient air, C CO-h0 (Cco-h0) -K0 (Cco2-h 0): c CO2-h0 ═ Cco2-h0, CO correction data under the combined action of ambient air and liquid under test: CO2 correction data under the combined action of ambient air and liquid to be tested, C CO-h1 (Cco-h1) -K1 (Cco2-h 1): c co2-h1 ═ Cco2-h 1;
s108, filtering the data of the ambient air, and calculating the response result of the liquid to be measured in the independent state:
△C*co-h1=(C*co-h1)-(C*co-h0)=[(Cco-h1)–K1*(Cco2-h1)]-[(Cco-h0)-K0*(Cco2-h0)],
△C*co2-h1=(Cco2-h1)-(Cco2-h0);
s110, the CO2 concentration Δ C × CO2-h1 (CO (molecular weight 28) → CO2 (molecular weight 44)) corresponding to the CO concentration is reversely deduced from the mass ratio of CO to CO 2.
△C**co2-h1=(△C*co2-h1)+(△C*co-h1)*44/28。
△C**co2-h1=(Cco2-h1)-(Cco2-h0)+{[(Cco-h1)–K1*(Cco2-h1)]-[(Cco-h0)-K0*(Cco2-h0)]}*44/28。
2. The TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm according to claim 1, wherein the carrier gas of N2 and O2 is obtained by filtering, reacting and drying the carrier gas in an impurity removal device.
3. The TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm according to claim 1, wherein the impurity removal device comprises an activated carbon adsorption unit, a CO catalysis unit and a CaO2 drying unit.
4. The TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm according to claim 2, wherein the purity of the carrier gas of N2 and O2 formed after passing through the impurity removal device is at least 80%.
5. The TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm of claim 3, wherein the activated carbon adsorption unit can remove CH compounds in air, the CO catalytic unit can convert CO in air into CO2, and finally the CaO2 drying unit can remove CO2 and H2O water vapor in air.
6. The TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm according to claim 1, wherein the impurity removal device can adopt a drying tube, and filter screens are arranged at two ends of the drying tube.
7. The TOC detection method of a multi-channel induction noise reduction compensation reduction algorithm according to claim 1, wherein the carrier gases of N2 and O2 and the liquid to be detected are simultaneously introduced into the oxidation furnace.
8. The TOC detection method of the multi-channel induction noise reduction compensation reduction algorithm of claim 6, wherein after the carrier gas of N2 and O2 is turned on for a preset time, the oxidation furnace and the NDIR detection units of the CO2 main sensor and the CO auxiliary sensor are powered on.
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