Research On Improved Adaptive Filtering Algorithm And Remote Real-time Monitoring

In recent years,in remote real-time monitoring,the realization of automatic equipment management can not only reduce the waste of human resources,but also reduce investment and maintenance costs.With the rapid development of wireless communication technology,in the process of remote data transmission,the processing of signals is required to have high precision and stability.As an important technology in the field of signal processing,adaptive filtering shows good performance in eliminating signal noise.This article focuses on the above aspects and combined with the actual needs of indoor temperature and humidity monitoring,established a remote real-time monitoring system for indoor temperature and humidity,to achieve real-time monitoring and adjustment of indoor temperature and humidity.This article mainly completes the work as follows:(1)First,this paper analyzes the composition principle of remote real-time monitoring,conducts feasibility analysis on the indoor temperature and humidity monitoring system,and explains the principles to be followed in the design of the system and the overall design architecture of the system.The 4G wireless module used in the system is characterized and analyzed.(2)In terms of hardware design,briefly introduce the concept and characteristics of the ARM microprocessor,comprehensively consider the requirements of the system for microprocessor performance,and select the model STM32F107VCT6 as the main control chip.Adopt DHT11 temperature and humidity sensor as system data acquisition module,and use SIM7100 C wireless module to send and receive temperature and humidity data,and then conduct circuit design and analysis of each functional module in the system,including relay,LCD liquid crystal display,USB to serial port,Circuits such as JTAG finally designed the system bus.(3)In terms of system software design,build the environment required for system development,introduce embedded uC / OS-III real-time operating system to complete the design and transplant under the STM32 platform,drive and develop thetemperature and humidity acquisition device DHT11,complete the SIM7100 C wireless module,Program design such as liquid crystal display module,in addition to the design of human-computer interaction based on VB6.0,complete the real-time display of temperature and humidity data and related operations.(4)Improve and innovate the basic LMS adaptive filtering algorithm,establish a particle swarm optimization BP neural network fusion LMS algorithm(PSO-BP-LMS)model,conduct MATLAB simulation experiments,and improve The LMS adaptive filtering algorithm is used for data signal processing in the system.After design and testing,the system in this paper can realize indoor temperature and humidity collection and wireless data transmission and reception,and the improved adaptive filtering algorithm can also be better applied in the system.The system in the study has strong applicability and flexibility.When the temperature and humidity data indicators are not within the specified range,related equipment can be enabled for adjustment.The operation is simple and convenient,easy to implement,and has a broad application prospect.