一种智能环境监测系统的设计与实现

Design and Realization of an Intelligent Environmental Monitoring System

针对各种场景环境信息的采集和应用,设计了一种智能环境监测系统。基于STM32设计的采集系统实时采集环境信息,包括氨气浓度、大气温度、大气湿度、光照强度、PM2.5浓度、硫化氢浓度、二氧化碳浓度等。传感器将环境数据采集后通过RS-485总线、IIC总线等方式将数据发送到数据采集模块,数据采集模块进行实时存储并分析处理后,采用GPRS技术将数据传输到服务器端,采用蓝牙技术将数据传输到手机APP端。针对传感器故障或传感器硬件不稳定导致的传感器可靠性问题,应用中值滤波算法和时间序列神经网络算法对环境信息数据进行智能化预测,滤除错误数据,保证了数据的可靠性。采用太阳能供电系统作为系统备用电源,多处采用低功耗设计,降低了系统成本。对调节环境提供决策性指导,保障应用场景环境适宜。

Aiming at the collection and application of environmental information in various scenes,we design an intelligent environmental monitoring system.The environmental information can be collected in real-time by the collection system based on the STM32,including ammonia concentration,atmospheric temperature,atmospheric humidity,light intensity,PM2.5 concentration,hydrogen sulfide concentration and carbon dioxide concentration.After collection,the environment data is sent to the data acquisition module through the RS-485 bus and IIC bus for real-time storage and analysis of processing,then with the general packet radio service to transmit data to the server and Bluetooth technology to transfer data to the APP terminal of mobile phones.Aiming at the reliability of sensor caused by sensor failure or sensor hardware instability,the median filter algorithm and time series neural network algorithm are used to predict the environmental information intelligently and filter out erroneous data,which ensure the reliability of the data.The solar power system is used as the reserve power supply of the system,and lowpower consumption is adopted in many places to reduce the system cost.The system can provide decision-making guidance on adjusting environment,to ensure that application scenarios have a suitable environment.