Design Of The Internet Of Things System For Smart Shopping Malls

With the rapid development of society and economy,the production and living environment has become increasingly intelligent.Among them,the Internet of Things technology is one of the key technologies of intelligence,and its development and application are gradually serving the society and promoting the transformation and upgrading of the industry.In the big economic environment of the Internet of Things,our domestic e-commerce economy based on the Internet and through various network platforms such as Taobao has had a great impact on the real economy of traditional shopping malls,and the intelligent upgrade and environmental transformation of traditional shopping malls have portrayed alleviation.This paper has deeply studied the current prominent problems of traditional shopping malls.From the perspective of smart shopping malls,it has analyzed the following shortcomings of traditional shopping malls that need to be improved urgently.First,the supporting facilities of most traditional shopping malls are outdated,the indoor environment is complex,and the lack of high-quality indoor environment monitoring facilities and efficient emergency management poses greater safety risks.Second,the flow of people in shopping malls has the characteristics of "tide changes" and changes over time.The indoor equipment keeps running in the unmanned state,on the one hand,it will cause unnecessary energy consumption,on the other hand,there is a lack of effective indoor environment regulation under the condition of dense passenger flow.Third,the lack of statistics on the flow of people in shopping malls and stores is not conducive to the planning and future development of stores and shopping malls.To this end,this topic is based on the background of Internet of Things applications,through the current wireless communication technology,Internet of Things sensor technology,cloud access and other cutting-edge science and technology to design a smart shopping mall Internet of Things system for users and future needs,and explore the use of scientific methods Transform traditional shopping malls into intelligent shopping malls centered on customer experience.In response to the above discussion,this topic uses LoRa wireless communication,Wi-Fi FTM ranging and positioning to design a smart shopping mall service system,and uses advanced Internet of Things technology to complete real-time monitoring of the indoor environment of the shopping mall.The system can provide passenger flow statistics and indoor positioning functions.Provide underlying data support for realizing big data applications in shopping malls.Compared with traditional shopping malls,this system can improve the safety,comfort,operational efficiency and competitiveness of the shopping malls,and can be used as a solution for the government to build smart shopping malls in the smart city.In response to the first question,this article completes the safety of the indoor environment through Smoke sensor module,formaldehyde sensor module,methane sensor module and relay module.In response to the second question,this article uses the temperature and humidity sensor module,illumination sensor module,carbon dioxide module and relay module design and networking to complete the simulation adjustment of the shopping mall system,the exhaust system,the growth system,and the system,and realize the experience of the indoor environment and indoor positioning based on Wi-Fi FTM solution provides users with detailed positioning support functions.In response to the third question,this paper uses the laser counting module to build a network to complete the simulated counting of the passenger flow in the shopping mall.The main work of this paper is as follows:First,the perception layer has been built.This layer is composed of various high performance sensors.It adopts modular design,including main control module,LoRa wireless communication module and various perception modules to complete the bottom data collection and deployment is very flexible.Second,the design of the sensor network layer is completed.The design scheme of the smart gateway and wireless node module uses STM32F103C8T6 as the main control module chip,LoRa networking,and a set of LoRa wireless communication nodes to complete the network transmission of the data collected by the underlying sensors.Third,the establishment of the central database has been completed.This layer is mainly composed of cloud servers and MySQL databases.In view of the current lack of systematic human flow statistics and store traffic statistics in shopping malls,data collected from sensors,indoor positioning,etc.,generate statistical data information for security requirements,environmental monitoring requirements,and future planning requirements,complete database design,and achieve data recovery Storage and processing.Fourth,the application service layer construction has been completed.This layer builds an apache server in Alibaba Cloud,designs a MySQL database,and combines JSP technology to achieve back-end development.Based on the B/S architecture in the front end,the HTML+Java Sript+CSS scheme is used to complete.Users can view relevant data information through smart terminals such as mobile phones.When the data exceeds the preset threshold,it will realize automatic regulation and send out an alarm message to the user.Fifth,a low-cost,low-complexity,and positioning accuracy solution that can meet the indoor positioning needs of shopping malls is designed.This solution mainly uses Wi-Fi FTM to complete the distance measurement between the user(UE)and the fixed Wi-Fi AP,reduces the measurement error through the least square method,and uses the iterative idea-based optimization of the non-line-of-sight algorithm for the non-line-of-sight error,which effectively improves The positioning accuracy is improved,and the real-time positioning effect is good.