| At present,in-situ thermal regeneration technology is usually used in the construction and maintenance of highway pavement.Compared with the previous construction technology,this technology has the advantages of economy,efficiency,speed and environmental protection.However,the disadvantage is that the monitoring method of manual measurement and recording data is still used.Shortcomings such as timeliness,inaccurate control,unintelligent analysis,and inefficient operation,and lack of comprehensive analysis of related factors such as the speed of the fleet and the size of the heating power,are likely to cause energy waste.In response to the above problems,this paper designed and developed a "cloud platform-based heat regeneration unit heating temperature monitoring system",which can complete data automatic collection,remote real-time wireless transmission,graphical display,management and analysis,cloud control and other functions.The main research contents are as follows:First,realize automatic data collection and remote real-time wireless transmission.Firstly,various types of sensor equipment were selected,processed and analyzed,especially the temperature data collected by the thermal infrared module was analyzed and verified,the accuracy was improved,and the data was processed for different application scenarios.Secondly,design and draw the hardware circuit of the data transceiver integrating the 4G DTU wireless communication module and the thermal infrared module.Finally,a TCP-based data transmission mechanism and a JSON formatbased communication protocol are designed,combined with the cloud platform to complete the system remote communication networking,realize data upload and instruction reception,and ensure stable data communication between the remote collection device and the cloud server.Second,to achieve cloud monitoring and management of data.The specific data table and database of the system are designed and optimized,and some functional modules of the system software are designed and implemented based on the SSM framework,and the business function layer of the monitoring system is completed.The business function layer of the system mainly includes the functions of data column display,summary display,data graphical display,data addition,deletion,modification,data export,issuing control instructions,system user management and other functions.Thirdly,the heating temperature field of asphalt pavement is analyzed and optimized control is researched.Firstly,a one-dimensional heating heat transfer model of asphalt pavement was established,and the traditional method of heating asphalt pavement was simulated and analyzed.Secondly,the genetic algorithm was used to obtain the optimal control law of the heating unit with the minimum energy consumption as the objective function.The actual heating unit and the construction situation are combined to develop a set of easy-to-implement and effective control schemes and realize this function in the cloud.The specific function is to issue instructions from the cloud to control the travel speed and heating power of the heating unit to achieve the asphalt An optimal balance between the road heating temperature and the energy consumption of the heatingunit.The research results have been verified by practical application at the highway construction site.Each module runs stably and achieves the expected effect of the original design.It provides a reliable and intelligent solution for the heating temperature monitoring of the thermal regeneration unit during the asphalt pavement construction process. |