Sensor Network Node Parameter Monitoring Software Research And Development

This paper studies monitoring software technology of sensor network node parameter,combined with the specific application of greenhouse monitoring,designed a complete monitoring software scheme.Firstly,this paper introduces the general situation of the sensor network and the research status of the sensor network monitoring technology at home and abroad,analyzes the structure of the sensor network monitoring system in this paper.Then,the RS232 communication interface between the host computer monitoring software and the sensor network controller is described,and the special communication data packet format is designed.This paper makes a deep research on the communication data validation algorithm,and compares the characteristics of the algorithm and the CRC algorithm.The paper also discusses and studies the nonlinear correction algorithm of the sensor parameters in the data processing,and uses the CRC cyclic redundancy algorithm and the fitting line method to complete the data processing.According to the actual situation,the system function design,including data acquisition,data transmission,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage,data storage.C/S and B/S hybrid architecture is adopted in the software structure design.The database structure design of the background database is completed,the data access to the database is realized through the ADO data engine.The multi thread technique is used in the C/S structure to realize the real time parameter curve of multi sensor nodes.In order to improve the system’s sustainable development,the B/S structure is designed by MVC framework.The paper discusses the principle of MVC and designs a concrete frame.This paper discusses the method of system running test and gives the test results.In order to improve the stability of the system and increase the system’s data analysis capabilities,the eighth chapter of this thesis is to study the operation mode of the system cloud computing.The system is designed and deployed with Azure Windows cloud service platform,and the system is deployed and tested.The system has good performance and meets the basic needs of the application.It has good real-time performance,openness and compatibility.It can provide comprehensive information and decision support for sensor network parameter monitoring.