化工园区典型气体压力补偿模型的优化与效果比较

IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Infrared Physics & Technology Pub Date : 2024-11-03 DOI:10.1016/j.infrared.2024.105621
Fuchao Tian , Xinyu Xiang , Lejing Qin , Jiliang Huang , Bo Tan
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引用次数: 0

摘要

在化工园区,有害气体的泄漏会导致中毒甚至爆炸。因此,对其进行监测和泄漏预警至关重要。本文以有害气体 CO2、CH4、CO 为例,建立红外气体传感器压力补偿实验平台进行实验,以解决气体传感器在检测过程中因环境压力变化而导致检测精度下降的问题。气体传感器的压力补偿实验范围分别为 0 ∼ 5 %、0 ∼ 20 % 和 0 ∼ 1000 ppm,在不同浓度和压力下获得的红外气体检测数据的最大绝对误差分别为 0.24 ∼ 0.67、0.89 ∼ 1.12 和 45 ∼ 60 ppm。构建了基于最小二乘法的压力补偿模型,得到的最大绝对误差分别为 0.08 ∼ 0.19、0.13 ∼ 0.64 和 24 ∼ 37 ppm。构建了基于 GA-BP 神经网络的压力补偿模型,其最大绝对误差分别为 0.04 ∼ 0.10、0.08 ∼ 0.10 和 0.60 ∼ 8.30 ppm。GA-BP 神经网络结合了遗传算法和反向传播算法,能更好地处理非线性问题。这两种模型的比较反映了 GA-BP 神经网络模型在补偿效果上的优越性。通过遗传算法优化的神经网络压力补偿模型的建立,可有效提高气体传感器的检测精度,预计其结果对保障企业化工园区的生产安全和环境保护具有重要的现实意义。
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Optimization and effect comparison of typical gas pressure compensation model in chemical industry park
In chemical parks, the leakage of harmful gases can lead to poisoning and even explosions. Therefore, its monitoring and leakage warnings are crucial. This paper takes the harmful gases CO2, CH4, and CO as examples, and set up an infrared gas sensor pressure compensation experimental platform to carry out experiments, to solve the problem of decreased detection accuracy of gas sensors due to changes in ambient pressure during detection. The pressure compensation experimental ranges of the gas sensors are 0 ∼ 5 %, 0 ∼ 20 %, and 0 ∼ 1000 ppm, and the maximum absolute errors of the infrared gas test data obtained under different concentrations and pressures are 0.24 ∼ 0.67, 0.89 ∼ 1.12, and 45 ∼ 60 ppm, respectively. The pressure compensation model based on the least squares method was constructed, and the maximum absolute errors were obtained as 0.08 ∼ 0.19, 0.13 ∼ 0.64, and 24 ∼ 37 ppm, respectively. The pressure compensation model based on the GA-BP neural network was constructed, and the maximum absolute errors were 0.04 ∼ 0.10, 0.08 ∼ 0.10, and 0.60 ∼ 8.30 ppm, respectively. The GA-BP neural network combines the genetic algorithm and the backpropagation algorithm, which can better deal with nonlinear problems. The comparison of these two models reflects the superiority of the GA-BP neural network model in the compensation effect. The establishment of the neural network pressure compensation model optimized by the genetic algorithm can effectively improve the detection accuracy of the gas sensor, and it is expected that the results are of great practical significance to guarantee production safety and protect the environment in the enterprise chemical park.
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来源期刊
CiteScore
5.70
自引率
12.10%
发文量
400
审稿时长
67 days
期刊介绍: The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region. Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine. Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.
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