Design And Implementation Of District Heating Monitoring System

In the northeastern part of China,the proper temperature inside the house can guarantee people's normal life.At present,the heating terminal is mainly monitored by manual means,resulting in poor reliability and timeliness of data collection.The above problems have not been solved,and the paper designs and implements a heating monitoring system that integrates remote intelligent acquisition and data analysis.First of all,the paper uses the main control chip STM32F103C8T6,power module,temperature module and flow acquisition module to design and build the acquisition platform.The paper considers that the system needs to monitor and count the heating parameters of each household.Therefore,the CAN bus is used to connect the temperature and flow acquisition modules.The 4G module sends its received data to a specific port on the cloud server host in the TCP/IP protocol.Secondly,develop and design data receiving and parsing programs based on the Java-based Socket communication interface on the cloud server.The data processed by the cloud server,on the one hand,the data is used for the training data source of the subsequent model,and on the other hand,the data source from the cloud MySQL database is queried for the front end display.Then,based on the CART algorithm,the paper studies the relationship between heating-related parameters and room temperature to establish a regression model.In addition,considering the original features,each parameter has a different degree of influence on room temperature.In order to improve the accuracy of the model,the paper uses PCA algorithm and grid search algorithm to optimize the number of super-parameter components and decision tree depth in the model.The model not only determines the heating status,it also provides a reference for heating parameter selection.Finally,the Web client uses the MVC design pattern to develop a human-computer interaction interface.The Web client functions include real-time monitoring of heating parameters,user information configuration,historical heating parameter query,abnormal heating area positioning,abnormal warning,heating data statistics and so on.Test the system's functions,interfaces,and performance with the Chrome browser,PostMan,and Jmeter tools.The results show that the system functions normally,the interface design is reasonable,and the error rate is below 0.15%in high concurrent environment.