基于计算机技术的室内环境远程监测技术研究

Research on Remote Monitoring Technology of Indoor Environment Based on Computer Technology

在经济腾飞的同时,环境问题日益突出,由于人们大部分时间都呆在室内,所以对室内环境质量的要求尤为严格,需要随时随地能够了解室内环境情况,室内环境远程监测是满足人们这一需求的重要手段;目前大多数室内环境远程监测技术都是在分析室内环境特点的基础上,通过将室内环境信息采集到计算机,然后经过串口传送到上位机,完成数据实时显示;但这种方法没有对采集的信息进行分析处理,难以保证室内环境监测数据的准确性;为此,文章提出一种新的基于计算机技术的室内环境远程监测技术,首先分析室内环境中空气污染成分及危害,针对每种空气污染成分提出通过不同的采集分析方法完成室内空气成分及数量检测,然后对室内环境远程监测中的温湿度调节电路进行设计,通过分析温湿度检测传感器与温湿度之间的非线性相关关系,完成对室内环境的温湿度检测,将检测数据与温湿度信息数据进行汇总并处理,通过计算机将数据传输到上位机,从而完成室内环境远程监测;实验证明,所提方法能够有效提高室内环境监测的准确度,减低远程监测响应时间和能耗,具有良好的使用价值。

In the economic take-off at present, environmental problems have become increasingly serious, because most of the time peo- ple stay indoors, so the quality of the indoor environment is particularly hard, need to understand the situation whenever and wherever possi- ble the indoor environment, indoor environment remote monitoring is an important measure to satisfy the needs of the people. Most of the current indoor environment remote monitoring technology is based on the analysis on the characteristics of the indoor environment, the indoor environment information collection to the computer, and then through the serial port to the host computer, complete real-time data display. However, it is difficult to ensure the accuracy of the indoor environmental monitoring data. Therefore, this paper proposes a kind of indoor environment remote monitoring technology based on computer technology new, firstly component and harm analysis of air pollution in indoor environment, air pollution is proposed for each component to complete the composition and quantity of indoor air testing through the acquisi- tion of different analysis methods, and then design the temperature and humidity of the indoor environment remote monitoring in regulating circuit through the analysis, nonlinear relationship between temperature and humidity detection sensor of temperature and humidity, temper- ature and humidity of the indoor environment to complete the detection, the detection data of temperature and humidity data were collected and processed by the computer will transfer the data to the host computer, thus completing the indoor environment remote monitoring. The experimental results show that the proposed method can effectively improve the accuracy of indoor environmental monitoring, reduce the response time and energy consumption of remote monitoring, and has good application value.