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| 面向多频段传感器的室内有毒气体扩散实时监测 |
| Real Time Monitoring of Indoor Toxic Gas Diffusion by Multi band Sensor |
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| DOI： |
| 中文关键词: 多频段传感器 室内空间 有毒气体 扩散监测 泄漏强度 |
| 英文关键词: Multi band sensor Indoor space Toxic gas Diffusion monitoring Leakage intensity |
| 基金项目:国家自然科学基金 “基于压缩感知的新型电子鼻系统原理研究”资助项目（61174007）；山东省自然科学基金重点资助项目（ZR2022LZH006）；烟台市科技创新发展计划基础研究基金资助项目（2023JCYJ106） |
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| 中文摘要: |
| 利用数据采集、处理器、射频和电源4个板块组建多频段传感器系统，将其与主用户网络架设在室内同一区域，在数据采集板块中代入最小二乘支持向量机和粒子群优化算法，获取有毒气体浓度数据。采用高斯烟羽模型建立室内有毒气体扩散模型，将有毒气体扩散监测变换为优化目标最小化问题，引入衰减系数指标，融合观测点风速、风速指数与扩散速率得到合成扩散速率，实现室内有毒气体扩散实时监测。200次试验结果表明，该多频段传感器能够测定5种有毒气体，用该方法监测室内有毒气体扩散的平均偏差为04 mg/m3。 |
| 英文摘要: |
| A multi band sensor system was constructed by data acquisition， processor， radio frequency and power supply， and was set up in the same indoor area as the main user network. The concentration of toxic gas was obtained by inputting the least squares support vector machine and particle swarm optimization algorithm on the data acquisition. Gaussian plume model was used to establish an indoor toxic gas diffusion model， the monitoring of toxic gas diffusion was transformed into the issue of minimizing the optimization objective. By introducing the attenuation coefficient index and integrating the wind speed， wink speed index and diffusion rate at observation points， the synthetic diffusion rate was obtained to achieve real time monitoring of indoor toxic gas diffusion. The results of 200 experiments showed that the multi band sensor could monitor five types of toxic gases. The average deviation of the method for monitoring the diffusion of indoor toxic gas was 04 mg/m3. |
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