Investigation of the construction of intelligent logistics system from traditional logistics model based on wireless network technology

Smart logistics is an inevitable trend in the development of modern logistics [1]. First of all, the concept of low-carbon, environmental protection, green, and resource recyclability is becoming more and more popular in the society, and it is also increasingly used in various industries. More people pay attention to the concept of green logistics and low-carbon logistics in modern logistics [2]. The realization of organizational forms such as integration and flattening, the rapid advancement of Internet of Things technologies, the introduction of management concepts such as industrial linkage and supply chain, all indicate the integration of information, networking, integration, intelligence, flexibility, and agility. Intelligent logistics with features such as visualization and automation are an inevitable trend and ultimate destination of modern logistics development [3]. Secondly, as the pillar industry of modern circulation, the rapid development of e-commerce and chain operations has led enterprises and consumers to rely more and more on modern logistics. The demand for logistics has been unprecedentedly high. Internet company is a new type of flexible sales model. Through a variety of promotional activities, it is setting off a new wave of online shopping among consumers. However, at this stage, the level of China’s logistics industry is still far from meeting the high demands of e-commerce and consumers on their efficiency and quality. More energy consumption will be caused, more carbon emissions will created, and huge hidden dangers will be brought to the environment. These are greatly deviating from the era of social energy saving for energy saving and emission reduction. The waste of energy and unreasonable allocation of resources also increase the operating costs of logistics companies and reduce corporate profits [4]. The market’s demand for the quantity and quality of logistics, the background of green environmental protection, as well various factors of corporate cost pressures have promoted the development of modern logistics toward intelligence [5].

Wireless sensor network (WSN) is the result of cross-domain interaction between emerging disciplines and traditional disciplines in the field of information science [6]. The technical development of wireless sensor networks has experienced a transition from smart sensors to wireless smart sensors and eventually developed into three phases of wireless sensor networks [7]. The smart sensor stage embeds a chip with data calculation and processing capabilities into the sensor to enhance and extend the working capability of the sensor node. The wireless smart sensor stage adds wireless communication technology to the sensor node based on the smart sensor. The wireless communication capability extends the antenna-awareness of antennae. Wireless sensor networks introduce network technology into wireless smart sensors, which make the sensor no longer a single sensory unit but a network entity capable of exchanging information and coordinating control. The sensor device and the area can be interconnected through nodes, and the data information can be exchanged. Looking at the development of wireless sensor networks, the development of digital wireless network technology determines its progress and application. In the 1970s, the world’s first network that broadcasts data packets through satellites—ALOHA network—was established at the University of Hawaii in the United States. Packet (also called cluster) broadcasting is introduced into the wireless channel, creating a new era of digital wireless communication. In order to improve the throughput of ALOHA protocol network system, an improved version called S-ALOHA is proposed. The data sent by the user within the network is unified by the common clock. Then a new carrier sense multiple access media access control (MAC) technology is proposed and the detection of random access multiple access protocols began [8].

In terms of system architecture and function system, Yiwu Group L has built several supporting main systems including logistics data exchange center, communication infrastructure network, field subsystem, vehicle subsystem, logistics enterprise subsystem, and industry management subsystem. And using various systems to build various types of information platforms, service platforms, and trading platforms to achieve the ability of users to achieve on-line completion of inquiries, orders, payments, and other operations. In the construction of the support system, it coordinated the investment and construction of major projects, gave full play to the coordination intelligence of logistics-related government departments, the formulation intelligence of standards and regulations, the intelligence of investment management, and the intelligence of the construction of smart logistics platforms; in terms of technical conditions, Yiwu L Group has used foreign capital to introduce advanced Internet of Things technologies and long-range facilities and equipment, and learned to formulate relevant industry standards; in terms of capital markets, the maintenance, operation, and promotion of logistics public information platforms, logistics trading platforms, etc. Neutral information service providers in specific logistics companies are responsible for the government’s investment in infrastructure construction, the use of paid fees, and the government’s participation in the management of charges. The charging costs should be aimed at maintaining the daily operations of information service providers; in terms of human resources, Yiwu L Group has a professional team that is both familiar with logistics management and computer and communication technology to assist in the planning, guidance, and organization of R&D and construction of logistics information systems. The cultivation of logistics informatization talents Yiwu City and L Group also cooperated with relevant universities to form a better school-enterprise cooperation mechanism. Through logistics and informatization professional technical training, the talent gap of logistics informatization is filled and the construction of Yiwu logistics information system is ensured.

In the specific network transmission, various types of information collected during the process of logistics awareness are collectively transmitted to the information processing center. The information processing center selects and corrects basic logistics information, completes the transformation of different information, and finally passes the processed logistics information through the transmission network. To the logistics application layer, to achieve inter-regional network interoperability and high-speed transmission of information, to achieve the sharing of local area network resources, centralized information processing, to achieve logistics, vehicle loading and dispatch management intelligence, visualization, and automation. Logistics applications adopts technologies such as cloud computing and data warehouse to centrally integrate and effectively handle logistics information resources, forming a dynamic data resource library that adapts to the needs of each logistics business and is updated in real time; and the logistics status are completed through the management and control of information integration. The real-time monitoring provides a unified information resource support for the development of logistics business and realizes the connection with various logistics business applications; finally, it displays effective information to users, and provides services for the intelligent control of the logistics business of the IoT environment.

The conclusion is drawn that in Fig. 4, the simulated values of the throughput of the CSMA with monitoring function and the traditional CSMA protocol are consistent with the theoretical values. Due to the fact that more network resources are occupied, when the value of “a” is the same, the throughput of non-independent CSMA with monitoring function is smaller than that of the traditional CSMA protocol. In Fig. 5, the simulated value of the new protocol throughput is consistent with the theoretical value. When the value is getting smaller and smaller, the throughput of unconstrained CSMA protocol with monitoring function based on binary tree conflict decomposition is increasing. In Fig. 6, the simulation values of the three protocol throughput values are consistent with the theoretical values. When the value of a is the same, compared with the non-independent CSMA protocol with monitoring function based on the binary tree conflict resolution and the non-independent CSMA with monitoring function, the throughput of the new protocol has been significantly improved.

The research on China’s smart logistics is still relatively lacking. Most of them remain in the research of a certain technology or some link in the smart logistics system. There is no systematic research on the research of the smart logistics, and the study of the smart logistics system is basically a blank. The relevant literature of the smart logistics system based on the Internet of Things technology is first reviewed, and the concept of Internet of Things technology and smart logistics is defined. The smart logistics system is described, and the relevant structure and characteristics of smart logistics are introduced. Secondly, through the grounding of the theoretical method, the subdivision into system construction, function system construction, and support system construction are completed to construct a smart logistics system. Through previous data research and through a theoretical sampling method, relevant research on China’s smart logistics development in China National Knowledge Infrastructure (CNKI) is collected, and the data is sampled and processed. Through the process of data analysis, such as open decoding, spindle decoding, selective decoding and other three decodings, and the selected data is systematically studied, and corresponding concepts are obtained and classified to form categories. In addition, different categories are classified and analyzed and the theoretical saturation is tested.