CN104614437A - Electrode spacing optimization method for carbon nanotube three-electrode gas sensor - Google Patents

Electrode spacing optimization method for carbon nanotube three-electrode gas sensor Download PDF

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CN104614437A
CN104614437A CN201510081873.4A CN201510081873A CN104614437A CN 104614437 A CN104614437 A CN 104614437A CN 201510081873 A CN201510081873 A CN 201510081873A CN 104614437 A CN104614437 A CN 104614437A
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郝惠敏
张勇
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Taiyuan University of Technology
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Abstract

The invention discloses an electrode spacing optimization method for a carbon nanotube three-electrode gas sensor. The method is used for optimizing the electrode spacing between the first electrode and the second electrode and between the second electrode and the third electrode of the carbon nanotube three-electrode gas sensor. The method comprises the following steps: designing the electrode spacing, constructing a sensor array consisting of different electrode spacing sensors, performing concentration detection on gas of known concentration by using the constructed sensor array, constructing a database for the electrode spacing of the sensor array and the corresponding gas detection result, constructing a quantitative analysis model for the detected gas concentration, and optimizing the electrode spacing of each composition sensor in the sensor array, so that the optimal electrode spacing aiming at a single sensor which corresponds to different detection gases and the optimal electrode spacing aiming at each composition sensor in the sensor array which corresponds to the mixed gas can be effectively obtained. Therefore, high detection sensitivity can be obtained.

Description

碳纳米管三电极气体传感器的极间距优化方法Electrode spacing optimization method for carbon nanotube three-electrode gas sensor

技术领域technical field

本发明属于气体传感领域,具体涉及一种碳纳米管三电极气体传感器的极间距优化方法。The invention belongs to the field of gas sensing, and in particular relates to an electrode spacing optimization method of a carbon nanotube three-electrode gas sensor.

背景技术Background technique

近年来,随着碳纳米技术的不断发展,以碳纳米管为敏感材料构成的气敏、温敏和湿敏传感器不断涌现。CN102081073A公开了一种微纳米碳纳米管薄膜三电极传感器,采用由绝缘支柱相互隔离的三个电极(第一电极内表面分布碳纳米管薄膜的基底)构成了检测气体、温度和湿度的传感器;CN102095791B提出了由CN102081073A公开的碳纳米管薄膜三电极传感器组成传感器阵列实现多组分混合气体浓度检测的方法。In recent years, with the continuous development of carbon nanotechnology, gas-sensitive, temperature-sensitive and humidity-sensitive sensors made of carbon nanotubes as sensitive materials continue to emerge. CN102081073A discloses a micro-nano carbon nanotube film three-electrode sensor, which uses three electrodes separated from each other by insulating pillars (the base of the carbon nanotube film on the inner surface of the first electrode) to form a sensor for detecting gas, temperature and humidity; CN102095791B proposes a method for detecting the concentration of a multi-component mixed gas by composing a sensor array composed of the carbon nanotube thin film three-electrode sensor disclosed in CN102081073A.

由于碳纳米管传感器具有工作电压低、整体尺寸小等独特优势,使得其在生物、化学、机械、航空等诸多领域具有广阔的应用前景。但是,目前的碳纳米管三电极传感器均在特定的几个极间距下工作,对于不同的检测气体尚没有针对性结构支撑,难以得到更高的检测灵敏度;此外,对于由多个传感器构成的传感器阵列对混合气体进行检测,多个传感器各采用哪种极间距进行组合能获得最佳的检测效果还有待明确。因此,亟需要有一种方法可以对碳纳米管三电极传感器的极间距进行优化,以提高检测灵敏度,加快传感器应用的推广。Because carbon nanotube sensors have unique advantages such as low operating voltage and small overall size, they have broad application prospects in many fields such as biology, chemistry, machinery, and aviation. However, the current carbon nanotube three-electrode sensors all work at several specific electrode spacings. There is no targeted structural support for different detection gases, and it is difficult to obtain higher detection sensitivity; The sensor array detects the mixed gas, and it remains to be clarified which electrode spacing combination of multiple sensors can obtain the best detection effect. Therefore, there is an urgent need for a method to optimize the electrode spacing of the carbon nanotube three-electrode sensor, so as to improve the detection sensitivity and accelerate the application of the sensor.

发明内容Contents of the invention

本发明针对现有碳纳米管三电极传感器存在的上述问题和不足,提供一种可用于单个碳纳米管三电极传感器及多个碳纳米管三电极传感器组合形成传感器阵列时各组成传感器的极间距优化方法,可有效获得针对不同检测气体所对应单个传感器的最佳极间距,和针对混合气体所对应传感器阵列中各组成传感器的最佳极间距,从而得到更高的检测灵敏度。The present invention aims at the above-mentioned problems and deficiencies existing in the existing carbon nanotube three-electrode sensors, and provides a single carbon nanotube three-electrode sensor and a plurality of carbon nanotube three-electrode sensors combined to form a sensor array. The optimization method can effectively obtain the optimal electrode spacing of a single sensor corresponding to different detection gases, and the optimal electrode spacing of each component sensor in the sensor array corresponding to a mixed gas, thereby obtaining higher detection sensitivity.

为了实现上述目的,本发明的技术方案是:In order to achieve the above object, technical scheme of the present invention is:

碳纳米管三电极气体传感器的极间距优化方法,对碳纳米管三电极气体传感器的第一电极与第二电极、第二电极与第三电极的极间距进行优化,所述碳纳米管三电极气体传感器的第一电极内表面分布碳纳米管薄膜基底,第二电极为设有引出孔的引出极极板,第三电极为收集极,三个电极由绝缘支柱相互隔离,三个电极中相邻两电极的极间距范围为50μm~250μm,其特征在于采用以下优化步骤:The electrode spacing optimization method of the carbon nanotube three-electrode gas sensor optimizes the electrode spacing between the first electrode and the second electrode, the second electrode and the third electrode of the carbon nanotube three-electrode gas sensor, and the carbon nanotube three-electrode gas sensor The inner surface of the first electrode of the gas sensor is distributed with a carbon nanotube film substrate, the second electrode is a lead-out plate with lead-out holes, the third electrode is a collector, and the three electrodes are separated from each other by insulating pillars. The distance between two adjacent electrodes ranges from 50 μm to 250 μm, which is characterized in that the following optimization steps are adopted:

1)设计极间距1) Design pole spacing

由n个碳纳米管三电极气体传感器构成的传感器阵列中,第i个传感器的第一电极与第二电极的极间距为di1,第二电极与第三电极的极间距为di2,其中,i=1,2,……,n,当n为1时,则指单个碳纳米管三电极气体传感器,每一个传感器的di1和di2有等间距和不等间距两种情况:In the sensor array composed of n carbon nanotube three-electrode gas sensors, the distance between the first electrode and the second electrode of the i-th sensor is d i1 , and the distance between the second electrode and the third electrode is d i2 , where , i=1, 2,..., n, when n is 1, it refers to a single carbon nanotube three-electrode gas sensor, and the d i1 and d i2 of each sensor have two situations of equal spacing and unequal spacing:

等间距:di1与di2相等,di1或di2从50μm开始以步长S递增,直到di1或di2大于等于250μm,S为0μm-200μm之间的任意整数;Equal spacing: d i1 and d i2 are equal, d i1 or d i2 increases with a step size S starting from 50 μm, until d i1 or d i2 is greater than or equal to 250 μm, and S is any integer between 0 μm and 200 μm;

不等间距:di1与di2不相等,di1从50μm开始以步长S1递增,直到di1大于等于250μm,di2从50μm开始以步长S2递增,直到di2大于等于250μm,S1和S2均为0μm-200μm之间的任意整数,当di1取前述数值中的一个值时,di2取与di1不同的值;Unequal spacing: d i1 and d i2 are not equal, d i1 starts from 50 μm and increases with step size S 1 until d i1 is greater than or equal to 250 μm, d i2 starts with 50 μm and increases with step size S 2 until d i2 is greater than or equal to 250 μm, Both S 1 and S 2 are arbitrary integers between 0 μm and 200 μm. When d i1 takes one of the aforementioned values, d i2 takes a value different from d i1 ;

2)构建由不同极间距传感器组成的传感器阵列2) Construct a sensor array composed of sensors with different pole spacing

针对单组分被测气体或由R种组分构成的混合气体,选定传感器个数n,n≥R,采用步骤1)中设计的极间距,分别构建m组n个不同等间距和不等间距的碳纳米管三电极气体传感器,形成m组不同极间距的碳纳米管三电极气体传感器阵列,m组传感器阵列中所有传感器的di1和di2是步骤1)中设计极间距所有可能的穷举或依据经验的选择;For a single-component measured gas or a mixed gas composed of R components, select the number of sensors n, n≥R, use the electrode spacing designed in step 1), and construct m groups of n different equal spacing and different Equally spaced carbon nanotube three-electrode gas sensors form m groups of carbon nanotube three-electrode gas sensor arrays with different pole spacings, and d i1 and d i2 of all sensors in the m group of sensor arrays are all possibilities for designing the pole spacing in step 1) exhaustive or empirical selection;

3)用已构建传感器阵列对已知浓度气体进行浓度检测3) Use the constructed sensor array to detect the concentration of gas with known concentration

采用标准气体制备多种不同浓度的单组分气体或多组分混合气体样本,采用由步骤2)构建的不同极间距的m组碳纳米管三电极气体传感器阵列分组进行检测,获得各被测气体样本的气体放电离子流值;A variety of single-component gas or multi-component mixed gas samples with different concentrations are prepared by using standard gases, and m groups of carbon nanotube three-electrode gas sensor arrays with different electrode spacings constructed by step 2) are used for detection in groups, and each measured The gas discharge ion current value of the gas sample;

4)建立传感器阵列的极间距及其对应气体检测结果数据库4) Establish the electrode spacing of the sensor array and its corresponding gas detection result database

用所有m组碳纳米管三电极气体传感器阵列中各组成传感器的di1和di2、检测气体样本获得的气体放电离子流值以及被测气体的浓度建立极间距及其对应气体检测结果数据库;Use the d i1 and d i2 of each component sensor in the carbon nanotube three-electrode gas sensor array of all m groups, the gas discharge ion current value obtained by detecting the gas sample, and the concentration of the gas to be measured to establish the electrode spacing and the corresponding gas detection result database;

5)建立被测气体浓度定量分析模型5) Establish a quantitative analysis model for the measured gas concentration

采用支持向量机法,以步骤4)所建立数据库中被测气体放电离子流值为输入,以其对应气体浓度为输出,建立被测气体浓度定量分析模型;Adopt the support vector machine method, with the measured gas discharge ion current value in the database established in step 4) as input, with its corresponding gas concentration as output, set up the measured gas concentration quantitative analysis model;

6)优化传感器阵列中各组成传感器的极间距6) Optimizing the electrode spacing of each component sensor in the sensor array

采用由步骤5)建立的被测气体浓度定量分析模型对所有被测气体样本的气体浓度进行分析,获得被测气体的检测浓度;将被测气体的检测浓度与其对应的实际浓度求差值,再除以被测气体的实际浓度,获得检测该气体的相对误差;采用粒子群优化算法,以被测气体检测的相对误差最小为目标,对由步骤2)构建的m组碳纳米管三电极气体传感器阵列中各组成传感器的di1和di2进行优化选择,最终获得检测该气体的碳纳米管三电极气体传感器阵列中各传感器的最佳极间距。Adopt the measured gas concentration quantitative analysis model established by step 5) to analyze the gas concentration of all measured gas samples to obtain the detected concentration of the measured gas; calculate the difference between the detected concentration of the measured gas and its corresponding actual concentration, Then divide by the actual concentration of the gas to be measured to obtain the relative error of detecting the gas; using the particle swarm optimization algorithm, with the minimum relative error of the gas to be measured as the goal, the m group of carbon nanotube three electrodes constructed by step 2) The d i1 and d i2 of each component sensor in the gas sensor array are optimized, and finally the best electrode spacing of each sensor in the carbon nanotube three-electrode gas sensor array for detecting the gas is obtained.

碳纳米管三电极气体传感器可替换为碳纳米管三电极温度传感器或碳纳米管三电极湿度传感器,用于检测温度或湿度。The carbon nanotube three-electrode gas sensor can be replaced by a carbon nanotube three-electrode temperature sensor or a carbon nanotube three-electrode humidity sensor for detecting temperature or humidity.

本发明具有以下有益效果:The present invention has the following beneficial effects:

1)可扩展性强:该方法可对检测单组分气体和多组分气体的碳纳米管三电极气体传感器阵列中各传感器的极间距进行优化,同时也可扩展到由其构成的温度和湿度传感器。1) Strong scalability: This method can optimize the electrode spacing of each sensor in the carbon nanotube three-electrode gas sensor array for detecting single-component gases and multi-component gases, and can also be extended to the temperature and Humidity Sensor.

2)组合性好:针对某种特定的气体,可选择特定浓度的气体样本进行优化,也可选择多种不同浓度的气体样本进行优化,气体样本简单,可对多种气体进行分析,组合性好。2) Good combination: For a specific gas, you can choose a specific concentration of gas samples for optimization, or you can choose a variety of gas samples with different concentrations for optimization. The gas samples are simple and can analyze a variety of gases. Combination good.

3)灵活性强:建立被测气体浓度定量分析模型时可采用除支持向量机外其它多种定量分析方法,通过对其参数优化获得该方法的最佳定量分析模型,具有很强的灵活性。3) Strong flexibility: When establishing the quantitative analysis model of the measured gas concentration, various quantitative analysis methods other than the support vector machine can be used, and the best quantitative analysis model of the method can be obtained by optimizing its parameters, which has strong flexibility .

附图说明Description of drawings

图1为本发明优化方法流程图;Fig. 1 is a flowchart of the optimization method of the present invention;

图2为本发明实施例中检测NO和SO2混合气体的相对误差。Fig. 2 is the relative error of detecting NO and SO2 mixed gas in the embodiment of the present invention.

具体实施方式Detailed ways

以下结合附图介绍本发明详细技术方案:Introduce detailed technical scheme of the present invention below in conjunction with accompanying drawing:

碳纳米管三电极气体传感器的极间距优化方法,对碳纳米管三电极气体传感器阵列中各组成传感器的第一电极与第二电极、第二电极与第三电极的极间距进行优化,所述碳纳米管三电极气体传感器的第一电极内表面分布碳纳米管薄膜基底,第二电极为设有引出孔的引出极极板,第三电极为收集极,三个电极由绝缘支柱相互隔离,三个电极中相邻两电极的极间距范围为50μm~250μm。其采用以下优化步骤:The electrode spacing optimization method of the carbon nanotube three-electrode gas sensor is to optimize the electrode spacing between the first electrode and the second electrode, the second electrode and the third electrode of each sensor in the carbon nanotube three-electrode gas sensor array, said The inner surface of the first electrode of the carbon nanotube three-electrode gas sensor is distributed with a carbon nanotube film substrate, the second electrode is an extraction electrode plate with an extraction hole, the third electrode is a collector, and the three electrodes are separated from each other by insulating pillars. The distance between two adjacent electrodes among the three electrodes ranges from 50 μm to 250 μm. It employs the following optimization steps:

1)设计极间距1) Design pole spacing

由n个碳纳米管三电极气体传感器构成的传感器阵列中,第i个传感器的第一电极与第二电极的极间距为di1,第二电极与第三电极的极间距为di2,其中,i=1,2,……,n,当n为1时,则指单个碳纳米管三电极气体传感器,每一个传感器的di1和di2有等间距和不等间距两种情况:In the sensor array composed of n carbon nanotube three-electrode gas sensors, the distance between the first electrode and the second electrode of the i-th sensor is d i1 , and the distance between the second electrode and the third electrode is d i2 , where , i=1, 2,..., n, when n is 1, it refers to a single carbon nanotube three-electrode gas sensor, and the d i1 and d i2 of each sensor have two situations of equal spacing and unequal spacing:

等间距:di1与di2相等,di1或di2从50μm开始以步长S递增,直到di1或di2大于等于250μm,S为0μm-200μm之间的任意整数;Equal spacing: d i1 and d i2 are equal, d i1 or d i2 increases with a step size S starting from 50 μm, until d i1 or d i2 is greater than or equal to 250 μm, and S is any integer between 0 μm and 200 μm;

不等间距:di1与di2不相等,di1从50μm开始以步长S1递增,直到di1大于等于250μm,di2从50μm开始以步长S2递增,直到di2大于等于250μm,S1和S2均为0μm-200μm之间的任意整数,当di1取前述数值中的一个值时,di2取与di1不同的值;Unequal spacing: d i1 and d i2 are not equal, d i1 starts from 50 μm and increases with step size S 1 until d i1 is greater than or equal to 250 μm, d i2 starts with 50 μm and increases with step size S 2 until d i2 is greater than or equal to 250 μm, Both S 1 and S 2 are arbitrary integers between 0 μm and 200 μm. When d i1 takes one of the aforementioned values, d i2 takes a value different from d i1 ;

2)构建由不同极间距传感器组成的传感器阵列2) Construct a sensor array composed of sensors with different pole spacing

针对单组分被测气体或由R种组分构成的混合气体,选定传感器个数n,n≥R,采用步骤1)中设计的极间距,分别构建m组n个不同等间距和不等间距的碳纳米管三电极气体传感器,形成m组不同极间距的碳纳米管三电极气体传感器阵列,m组传感器阵列中所有传感器的di1和di2是步骤1)中设计极间距所有可能的穷举或依据经验的选择;For a single-component measured gas or a mixed gas composed of R components, select the number of sensors n, n≥R, use the electrode spacing designed in step 1), and construct m groups of n different equal spacing and different Equally spaced carbon nanotube three-electrode gas sensors form m groups of carbon nanotube three-electrode gas sensor arrays with different pole spacings, and d i1 and d i2 of all sensors in the m group of sensor arrays are all possibilities for designing the pole spacing in step 1) exhaustive or empirical selection;

3)用已构建传感器阵列对已知浓度气体进行浓度检测3) Use the constructed sensor array to detect the concentration of gas with known concentration

采用标准气体制备多种不同浓度的单组分气体或多组分混合气体样本,采用由步骤2)构建的不同极间距的m组碳纳米管三电极气体传感器阵列分组进行检测,获得各被测气体样本的气体放电离子流值;A variety of single-component gas or multi-component mixed gas samples with different concentrations are prepared by using standard gases, and m groups of carbon nanotube three-electrode gas sensor arrays with different electrode spacings constructed by step 2) are used for detection in groups, and each measured The gas discharge ion current value of the gas sample;

4)建立传感器阵列的极间距及其对应气体检测结果数据库4) Establish the electrode spacing of the sensor array and its corresponding gas detection result database

用所有m组碳纳米管三电极气体传感器阵列中各组成传感器的di1和di2、检测气体样本获得的气体放电离子流值以及被测气体的浓度建立极间距及其对应气体检测结果数据库;Use the d i1 and d i2 of each component sensor in the carbon nanotube three-electrode gas sensor array of all m groups, the gas discharge ion current value obtained by detecting the gas sample, and the concentration of the gas to be measured to establish the electrode spacing and the corresponding gas detection result database;

5)建立被测气体浓度定量分析模型5) Establish a quantitative analysis model for the measured gas concentration

采用支持向量机法,以步骤4)所建立数据库中被测气体放电离子流值为输入,以其对应气体浓度为输出,建立被测气体浓度定量分析模型;Adopt the support vector machine method, with the measured gas discharge ion current value in the database established in step 4) as input, with its corresponding gas concentration as output, set up the measured gas concentration quantitative analysis model;

6)优化传感器阵列中各组成传感器的极间距6) Optimizing the electrode spacing of each component sensor in the sensor array

采用由步骤5)建立的被测气体浓度定量分析模型对所有被测气体样本的气体浓度进行分析,获得被测气体的检测浓度;将被测气体的检测浓度与其对应的实际浓度求差值,再除以被测气体的实际浓度,获得检测该气体的相对误差;采用粒子群优化算法,以被测气体检测的相对误差最小为目标,对由步骤2)构建的m组碳纳米管三电极气体传感器阵列中各组成传感器的di1和di2进行优化选择,最终获得检测该气体的碳纳米管三电极气体传感器阵列中各传感器的最佳极间距。Adopt the measured gas concentration quantitative analysis model established by step 5) to analyze the gas concentration of all measured gas samples to obtain the detected concentration of the measured gas; calculate the difference between the detected concentration of the measured gas and its corresponding actual concentration, Then divide by the actual concentration of the gas to be measured to obtain the relative error of detecting the gas; using the particle swarm optimization algorithm, with the minimum relative error of the gas to be measured as the goal, the m group of carbon nanotube three electrodes constructed by step 2) The d i1 and d i2 of each component sensor in the gas sensor array are optimized, and finally the best electrode spacing of each sensor in the carbon nanotube three-electrode gas sensor array for detecting the gas is obtained.

对于单组分被测气体,可以选用多个不同极间距的单个碳纳米管三电极气体传感器对多种不同浓度的该种气体样本进行检测,检测误差最小的碳纳米管三电极气体传感器对应的极间距为最适合该气体检测的极间距;也可以采用多个碳纳米管三电极气体传感器构成传感器阵列,分组对多种不同浓度的该种气体样本进行检测,检测误差最小的碳纳米管三电极气体传感器对应的极间距为最适合该气体检测的极间距。For a single-component gas to be measured, multiple single carbon nanotube three-electrode gas sensors with different electrode spacings can be selected to detect a variety of gas samples with different concentrations. The carbon nanotube three-electrode gas sensor with the smallest detection error corresponds to The pole spacing is the most suitable pole spacing for the gas detection; multiple carbon nanotube three-electrode gas sensors can also be used to form a sensor array, and the gas samples with different concentrations can be detected in groups, and the carbon nanotube three-electrode gas sensor with the smallest detection error The electrode spacing corresponding to the electrode gas sensor is the most suitable electrode spacing for the gas detection.

对多组分混合气体,需要构建传感器阵列进行检测,一般情况下,有几种组分构成混合气体,就需要用大于等于混合气体组分数量的碳纳米管三电极气体传感器构成传感器阵列。实施例仅以一氧化氮(NO)和二氧化硫(SO2)的混合气体为例进行说明,混合气体的组分数量可以扩展。For multi-component mixed gas, it is necessary to build a sensor array for detection. Generally, if there are several components to form a mixed gas, it is necessary to use carbon nanotube three-electrode gas sensors that are greater than or equal to the number of mixed gas components to form a sensor array. The embodiment is only illustrated by taking the mixed gas of nitric oxide (NO) and sulfur dioxide (SO 2 ) as an example, and the number of components of the mixed gas can be expanded.

如图1所示,碳纳米管三电极气体传感器阵列的极间距优化方法采用以下步骤:As shown in Figure 1, the electrode spacing optimization method of the carbon nanotube three-electrode gas sensor array adopts the following steps:

1)设计极间距1) Design pole spacing

由2个传感器构成的传感器阵列中,设其中第1个传感器第一电极与第二电极的极间距为d11、第二电极与第三电极的极间距为d12;第2个传感器第一电极与第二电极的极间距为d21、第二电极与第三电极的极间距为d22,对每个传感器的两个极间距有等间距和不等间距两种情况:In the sensor array composed of 2 sensors, let the pole spacing between the first electrode and the second electrode of the first sensor be d 11 , and the pole spacing between the second electrode and the third electrode be d 12 ; the second sensor first The pole spacing between the electrode and the second electrode is d 21 , the pole spacing between the second electrode and the third electrode is d 22 , and there are two cases of equal spacing and unequal spacing for each sensor’s two pole spacing:

等间距:即组成传感器阵列的单个传感器的两个极间距相等,d11、d12、d21及d22从50μm开始以步长30μm递增,形成50μm、80μm、110μm、140μm、170μm、200μm、230μm、250μm共计8个极间距。Equal spacing: that is, the distance between the two poles of a single sensor constituting the sensor array is equal, d 11 , d 12 , d 21 and d 22 start from 50 μm and increase in steps of 30 μm to form 50 μm, 80 μm, 110 μm, 140 μm, 170 μm, 200 μm, 230μm, 250μm, a total of 8 pole pitches.

不等间距:即组成传感器阵列的单个传感器的两个极间距不相等,如d11从50μm开始以步长30μm递增,形成50μm、80μm、110μm、140μm、170μm、200μm、230μm、250μm共计8个d11值;d12也从50μm开始以步长30μm递增,同样形成50μm、80μm、110μm、140μm、170μm、200μm、230μm、250μm共计8个d12值;理论上,当di1、di2取上述不同的值进行组合时,可能的组合共有56种,其中,i=1,2。Unequal spacing: that is, the spacing between the two poles of a single sensor that makes up the sensor array is not equal. For example, d 11 starts from 50μm and increases in steps of 30μm, forming a total of 8 pieces of 50μm, 80μm, 110μm, 140μm, 170μm, 200μm, 230μm, and 250μm d 11 value; d 12 also increases from 50 μm with a step size of 30 μm, and also forms 8 d 12 values of 50 μm, 80 μm, 110 μm, 140 μm, 170 μm, 200 μm, 230 μm, and 250 μm; theoretically, when d i1 and d i2 take When the above different values are combined, there are 56 possible combinations, where i=1,2.

对单个传感器来说,上述等间距和不等间距可形成共64种不同的极间距组合。For a single sensor, a total of 64 different pole-pitch combinations can be formed from the above equal and unequal pitches.

2)构建由不同极间距传感器组成的传感器阵列2) Construct a sensor array composed of sensors with different pole spacing

针对NO和SO2的混合气体,选定传感器个数为2,根据现有实验经验,从步骤1)设计的极间距中,选取6对不同的di1和di2的组合,构建6组由2个传感器组成的碳纳米管三电极气体传感器阵列,其中,di1与di2的组合见表1:For the mixed gas of NO and SO 2 , the number of sensors is selected to be 2. According to the existing experimental experience, from the electrode spacing designed in step 1), 6 pairs of different combinations of d i1 and d i2 are selected to construct 6 groups consisting of A carbon nanotube three-electrode gas sensor array composed of two sensors, where the combination of d i1 and d i2 is shown in Table 1:

表16组传感器阵列不同极间距的组合Table 16 Combinations of different pole spacings of sensor arrays

组别group d11/μmd 11 /μm d12/μmd 12 /μm d21/μmd 21 /μm d22/μmd 22 /μm 第一组First group 5050 150150 150150 150150 第二组Second Group 5050 180180 180180 180180 第三组The third group 100100 180180 100100 150150 第四组Fourth group 100100 200200 180180 200200 第五组fifth group 150150 180180 180180 180180 第六组The sixth group 150150 200200 200200 200200

3)用已构建传感器阵列对已知浓度气体进行浓度检测3) Use the constructed sensor array to detect the concentration of gas with known concentration

采用标准气体制备五种不同浓度的NO和SO2混合气体样本,其配比详见表2。采用表1中构建的6组碳纳米管三电极气体传感器阵列分别对5种不同浓度的NO和SO2混合气体样本进行检测,共获得30组60个被测气体样本的气体放电离子流值。Five kinds of mixed gas samples of NO and SO2 with different concentrations were prepared by using standard gas, and their proportions are shown in Table 2. Six groups of carbon nanotube three-electrode gas sensor arrays constructed in Table 1 were used to detect five different concentrations of NO and SO2 mixed gas samples, and a total of 30 groups of 60 gas discharge ion current values were obtained.

表25种不同浓度的NO和SO2混合气体Table 25 mixed gases of NO and SO2 with different concentrations

序号serial number NO/ppmNO/ppm SO2/ppmSO 2 /ppm 11 500500 500500 22 500500 800800 33 500500 10001000 44 800800 800800 55 800800 11001100

4)建立传感器阵列的极间距及其对应气体检测结果数据库4) Establish the electrode spacing of the sensor array and its corresponding gas detection result database

将每组碳纳米管三电极气体传感器阵列中各传感器的di1和di2、检测气体样本获得的气体放电离子流值以及被测气体的浓度建立极间距及其对应气体检测结果数据库;The d i1 and d i2 of each sensor in each group of carbon nanotube three-electrode gas sensor array, the gas discharge ion current value obtained by detecting the gas sample, and the concentration of the measured gas are used to establish the electrode spacing and the corresponding gas detection result database;

5)建立被测气体浓度定量分析模型5) Establish a quantitative analysis model for the measured gas concentration

忽略温度和湿度对气体检测的影响,采用支持向量机法,选用高斯核函数,以步骤4)建立的数据库中,检测NO和SO2混合气体样本各碳纳米管三电极气体传感器获得的放电离子流值为输入,以其对应被测气体浓度为输出,建立被测气体浓度定量分析模型;Neglecting the influence of temperature and humidity on gas detection, adopt the support vector machine method, select the Gaussian kernel function, and in the database established in step 4), detect the discharge ions obtained by each carbon nanotube three - electrode gas sensor of the mixed gas sample of NO and SO The flow value is input, and the corresponding measured gas concentration is used as the output to establish a quantitative analysis model of the measured gas concentration;

步骤6优化传感器阵列中各组成传感器的极间距Step 6 Optimizing the electrode spacing of each component sensor in the sensor array

采用由步骤5)建立的被测气体浓度定量分析模型对30组被测气体样本中NO和SO2气体的浓度进行分析,获得NO和SO2的检测浓度;求取NO和SO2气体检测的相对误差,如图2所示;采用粒子群优化算法,以被测气体检测误差最小为目标,对由步骤2)构建的6组碳纳米管三电极气体传感器阵列中各个di1和di2进行优化选择,发现第5组极间距组合形成的传感器阵列检测NO和SO2混合气体的相对误差最小,因此,最终获得检测NO和SO2混合气体采用碳纳米管三电极气体传感器阵列中,两个传感器的最佳极间距di1和di2分别为:150μm、180μm和180μm、180μm。Adopt the measured gas concentration quantitative analysis model established by step 5) to analyze the concentration of NO and SO in 30 groups of measured gas samples, obtain NO and SO detection concentration; The relative error is shown in Figure 2; the particle swarm optimization algorithm is used to target the minimum detection error of the gas to be measured, and each d i1 and d i2 in the 6 groups of carbon nanotube three-electrode gas sensor arrays constructed by step 2) are Optimizing the selection, it is found that the sensor array formed by the fifth group of pole spacing combinations has the smallest relative error in detecting NO and SO 2 mixed gas. Therefore, in the final detection of NO and SO 2 mixed gas using carbon nanotube three-electrode gas sensor array, two The optimum pole spacing d i1 and d i2 of the sensor are: 150 μm, 180 μm and 180 μm, 180 μm, respectively.

本专利提出的碳纳米管三电极气体传感器的极间距优化方法,同样适用于碳纳米管三电极温度和湿度传感器极间距的优化,只要用碳纳米管三电极温度或湿度传感器替代碳纳米管三电极气体传感器构成传感器阵列,将检测获得的温度和湿度数据纳入步骤4)建立的数据库中,再执行步骤5)和步骤6)即可。The pole spacing optimization method of the carbon nanotube three-electrode gas sensor proposed in this patent is also applicable to the optimization of the carbon nanotube three-electrode temperature and humidity sensor pole spacing, as long as the carbon nanotube three-electrode temperature or humidity sensor is used instead of the carbon nanotube three-electrode sensor. The electrode gas sensor constitutes a sensor array, and the temperature and humidity data obtained through detection are incorporated into the database established in step 4), and then steps 5) and 6) are performed.

步骤5)中的支持向量机法还可以是神经网络、最小二乘回归、核方法等其它回归方法;步骤6)中的粒子群优化算法还可以是蚁群优化算法、遗传算法等其它优化算法。The support vector machine method in step 5) can also be other regression methods such as neural network, least square regression, kernel method; The particle swarm optimization algorithm in step 6) can also be other optimization algorithms such as ant colony optimization algorithm, genetic algorithm .

Claims (2)

1. the die opening optimization method of carbon nano-tube three electrode gas sensor, to the first electrode and second electrode of carbon nano-tube three electrode gas sensor, second electrode and three electrode die opening are optimized, first electrode inside surface distribution carbon nano-tube film substrate of described carbon nano-tube three electrode gas sensor, second electrode is the extraction pole pole plate being provided with fairlead, 3rd electrode is collector, three electrodes are mutually isolated by insulation column, in three electrodes, the die opening scope of adjacent two electrodes is 50 μm ~ 250 μm, it is characterized in that adopting following Optimization Steps:
1) die opening is designed
In the sensor array be made up of n carbon nano-tube three electrode gas sensor, the first electrode of i-th sensor and the die opening of the second electrode are d i1, the second electrode and three electrode die opening are d i2, wherein, i=1,2 ..., n, when n is 1, then refers to Single Carbon Nanotubes three electrode gas sensor, the d of each sensor i1and d i2there are equidistant and unequal-interval two kinds of situations:
Equidistant: d i1with d i2equal, d i1or d i2increase progressively with step-length S from 50 μm, until d i1or d i2be more than or equal to 250 μm, S is the arbitrary integer between 0 μm-200 μm;
Unequal-interval: d i1with d i2unequal, d i1with step-length S from 50 μm 1increase progressively, until d i1be more than or equal to 250 μm, d i2with step-length S from 50 μm 2increase progressively, until d i2be more than or equal to 250 μm, S 1and S 2be the arbitrary integer between 0 μm-200 μm, work as d i1when getting a value in aforementioned value, d i2get and d i1different values;
2) sensor array be made up of different die opening sensor is built
For the tested gas of single component or the mixed gas that is made up of R kind component, selected number of probes n, n>=R, adopt step 1) the middle die opening designed, build the carbon nano-tube three electrode gas sensor of m group n individual not equal pitch and unequal-interval respectively, form the carbon nano-tube three electrode gas sensor array of the different die opening of m group, the d of all the sensors in m group sensor array i1and d i2step 1) in all possible exhaustive or selection empirically of design die opening;
3) with building sensor array, Concentration Testing is carried out to concentration known gas
Calibrating gas is adopted to prepare single-component gas or the polycomponent mixed gas sample of multiple variable concentrations, adopting by step 2) the m group carbon nano-tube three electrode gas sensor array column split of different die openings that builds detects, and obtains the gas discharge ion flow valuve of each tested gas sample;
4) die opening of sensor array and corresponding gas detect result database thereof is set up
With the d of composition sensor each in all m group carbon nano-tube three electrode gas sensor arraies i1and d i2, detect gas discharge ion flow valuve that gas sample obtains and the concentration of tested gas sets up die opening and corresponding gas detect result database thereof;
5) tested gas concentration quantitative model is set up
Adopting support vector machine method, with step 4) tested gas discharge ion flow valuve is input in institute's building database, with its corresponding gas concentration for exporting, sets up tested gas concentration quantitative model;
6) die opening of each composition sensor in sensor array is optimized
Adopting by step 5) gas concentration of tested gas concentration quantitative model to all tested gas samples set up analyze, and obtains the detectable concentration of tested gas; Actual concentrations corresponding with it for the detectable concentration of tested gas is asked difference, then divided by the actual concentrations of tested gas, obtains the relative error detecting this gas; Adopt particle swarm optimization algorithm, minimum for target with the relative error of tested gas detect, to by step 2) each d forming sensor in the m group carbon nano-tube three electrode gas sensor array that builds i1and d i2be in optimized selection, the final best die opening obtaining each sensor in the carbon nano-tube three electrode gas sensor array detecting this gas.
2. the die opening optimization method of carbon nano-tube three electrode gas sensor according to claim 1, it is characterized in that: carbon nano-tube three electrode gas sensor can be replaced carbon nano-tube three electrode temperature sensors or carbon nano-tube three electrode humidity sensor, for detected temperatures or humidity.
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