# Dynamic Quality Monitoring System to Assess the Quality of Asphal Concrete Payement
###### Abstract  
With the rapid development of new technologies, such as big data, the Internet of Things (IoT) and intelligent sensing, the traditional asphalt pavement construction quality evaluation method has been unable to meet the needs of road digital construction. At the same time, the development of such technologies enables a new management system for asphalt pavement construction. In this study, firstly, the dynamic quality monitoring system of asphalt concrete pavement is established by adopting the BeiDou Navigation Satellite System, intelligent sensing, the IoT and 5G technology. This allows key technical indicators to be collected and transmitted for the whole process of asphalt mixture, which includes the mixing plant, transport vehicle, paving and compaction. Secondly, combined with AHP and the entropy weight (EW) method, the index combination weight is calculated. The comprehensive index for the pavement digital construction quality index (PCQ) is proposed to reflect the impact of monitoring indicators on pavement quality. An expert decision-making model is formed by using the improved particle swarm optimization (PSO) algorithm coupled with radial basis function neural network (RBF). Finally, the digital monitoring index and pavement performance index are connected to establish a full-time and multi-dimensional digital construction quality evaluation model. This study is verified by a database created from the digital monitoring data of pavement construction collected from a highway construction project. The system proposed in this study can accurately reflect the quality of pavement digital construction and solve the lag problem existing in the feedback of construction site. dynamic quality monitoring system; BeiDou Navigation Satellite System; information technology; construction quality management; RBF neural network; PSO optimization algorithm +
Footnote †: journal: Appliedfashion, which leads to the shortened service life of asphalt pavements [4; 5; 6]. Therefore, empirical research on digital construction quality management of asphalt pavement is of major significance in regard to the quality process control for pavement construction [7; 8; 9]. At present, many industrial sectors in China are accelerating the development of information technology as part of the process of digital transformation and this involves both digitization of data from manual recording to digital systems as well as digitalization of existing business processes into digital systems. For example, [PERSON] [10] and others have applied the building information modeling (BIM) system to the quality management of construction engineering for the purpose of quality evaluation. Furthermore, [PERSON] [11] and others have applied Internet of Things (IoT) technology to the analysis of bridge construction management for information collection. The application of these information technologies has laid a foundation for the development of digital monitoring technology for asphalt pavement construction in highway engineering construction. Adoption of digital monitoring technology for asphalt pavement construction can enable the realization of remote control tracking of the construction process. This has the potential to transform the previous manual inspection process into a digital process control system in order to enhance the efficient and effective quality control of highway construction projects. Indeed, [PERSON] [12] and others have developed an intelligent sensing aggregate (ISA) using advanced technologies, such as 3D printing and the Internet of Things. The system can collect and analyze data in real time, and the equipment also has resistance to high temperature. [PERSON] [13] studied the use of an intelligent compactor to detect the compaction meter value (CMV) of pavement, and thereafter explored the relationship between CMV and asphalt pavement density.