Research And System Design Of Intelligent Display Technology Based On Internet Of Things

Since the 21 st century,with the rapid development and wide popularization of the Internet of things,people's demand for intelligent information services is increasing day by day.And various industries will also usher in new development opportunities in this technological innovation,especially the emerging multimedia display industry in recent years.Therefore,the research and system design of intelligent display technology based on the Internet of things is of great significance.In this thesis,aiming at the shortcomings of the existing exhibition system,such as single communication path,uniform virtual activity experience,etc.,based on the core tenet of automation,informatization,low power consumption and low cost,the Internet of things technology is proposed to be used in intelligent identification,analysis,and acquisition of the parameters of the audience 's interest level.And designed an intelligent display system based on the Internet of Things,so that audiences can enjoy personalized recommendations while in-depth participation,to achieve the purpose of two-way infection.The main work of this thesis is as follows:Based on the identification and perception technology of the Internet of things,the research proposes a visitor information reading technology based on UHF RFID technology,so that the exhibitor can obtain the number of visitors within a certain range.An intelligent acquisition technology of exhibits information based on NFC is proposed,and a terminal APP program is designed so that visitors can obtain exhibit information through NFC tags.In this thesis,the interest acquisition technology of installing and deploying triaxial acceleration sensor on the exhibits is proposed,and the decision algorithm and information acquisition control program design are completed,so as to obtain the interest degree of visitors on the exhibits.Combined with the image processing technology,through the background difference algorithm of moving object detection,the processing of the appearance of visitors extracted by the camera is realized,so as to achieve the goal of one-to-one personalized exhibition recommendation for visitors.In this thesis,the data collected above are modeled,the recommendation system is developed based on collaborative filtering algorithm,and the final display system design is realized.The above work has been tested for function and performance,and the results show that the system can read more than 200 exhibition badges at a time under the condition that the transmission power of the RFID reader is 30 dBm,and the maximum reading distance can reach 16.8 meters.The developed NFC-based terminal application can complete the jump of the exhibit details page within 0.5 seconds when the terminal is close to the exhibit,and the success rate can reach 100%.In this paper,based on the original traditional recommendation algorithm,the collected interest values are used as weights.The precision rate of the simulation results is improved by about 5%,while the recall rate is improved by about 3%,and final precision rate of recommendation is up to 75%.The intelligent exhibition system designed in this paper can be widely used in various types of multi-media exhibition halls and exhibition halls.It can enhance the two-way interaction between the exhibitor and the visitors,enhance the visiting experience,and realize interactive,personalized and intelligent display.It has a broad application prospect.