摘要
传统系统存在控制规则混乱和信号干扰严重问题,导致系统控制精准度较低,无法满足室内空气温湿度对热舒适度的严格要求。提出了物联网下室内温度智能控制系统优化设计方法。根据室内设计的功能性原理,架构系统硬件框图,采用多个传感器对温度采集模块进行设计,以此为基础对电源电路展开分析,设计温度控制器以保证室内空间温度符合人体舒适度要求,使CPU直接与其它传感器连接,保证电压不受到信号干扰影响稳定传输;根据系统软件主流程对温度参数进行控制,将温度模拟量转换为数字形式,利用PID模糊算法对温度信号进行模糊化处理,并设立原则,保证系统在固定规则下稳定运行,使室内热环境达到人体最佳舒适度。由实验结果可知,该系统最高控制精准度可达到98%,能够满足用户需求。
In the traditional system,the control rules are confused and the signal interference is serious,which leads to the low precision of the system control,and can not satisfy the strict requirements of the indoor air temperature and humidity to the thermal comfort.The optimal design method of indoor temperature intelligent control system under the Internet of things is put forward.According to the functional principle of the interior design,the system hardware block diagram is constructed,and several sensors are used to design the temperature acquisition module.On this basis,the power circuit is analyzed.The temperature controller is designed to ensure the indoor space temperature is in accordance with the human comfort requirements,and the CPU is connected with the other sensors to guarantee the voltage.It is not affected by the signal interference to stabilize the transmission.According to the control of the temperature parameters in the main stream of the system software,the temperature simulation is converted into a digital form,the temperature signal is fuzzed by PID fuzzy algorithm,and the principle is set up to ensure the stable operation of the system under the fixed rules,so that the indoor thermal environment can reach the most human body.Good comfort.The experimental results show that the highest accuracy of the system can reach 98%,which can meet user needs.
作者
谢舰锋
XIE Jian-feng(Kunming Metallurgy College,Kunming 650000,China)
出处
《电子设计工程》
2018年第16期67-71,共5页
Electronic Design Engineering
基金
国家自然科学基金(61662088)
关键词
物联网
室内温度
智能控制
控制规则
信号干扰
模拟量
Internet of things
indoor temperature
intelligent control
control rules
signal interference
analog quantity
