## 1 Introduction  
At present, there are a large number of human-machine display interfaces in industrial applications (such as mechanical instrument panels, Light-Emitting Diode display screens, Personal Computer monitors, etc.). However, these human-machine display interfaces are all \"equipment-centric\", that is, these interfaces are fixed and can only be used for specific devices. With the rapid development of intelligent manufacturing and big data technology, a large amount of data information needs to be displayed in the workshop, which increases the integration complexity and cost of the traditional device-centric human-machine interface system [1, 2]. Meanwhile, in the inspection and maintenance of complex equipment in the workshop, the relevant guidance information needs to be quickly displayed to the operator to guide the operator to perform complex operations [3]. Therefore, a workshop auxiliary system is urgently needed to assist and guide the operator to conduct complex inspection and maintenance tasks. Augmented reality (AR) technology can merge computer-generated virtual information with the physical world. It can display real scenes and virtual ones simultaneously and provide a type of human-computer interaction [4]. Augmented reality technology is a human-centered human-computer interaction and display technology. One of the main application areas of augmented reality technology is visualization. Unlike traditional visualization methods, AR inserts virtual objects and information directly into digital representations of the real world, which makes these objects and data more easily to understand and interactive [5]. [PERSON] [6] presented an AR-based underground visualization system for aiding field workers of utility companies in outdoor tasks such as maintenance, planning, or surveying of underground infrastructure. [PERSON] et al. [5] designed a method for fusing AR views and indoor maps in changing environments during AR-GIS visualization. Recently [PERSON] et al. [7] proposed an AR visualization platform that can display any Robot Operating System message data type in AR. [PERSON] et al. [8] proposed an AR decision support framework to support immediate decisions within a smart environment by augmenting the user's focal objects with assemblies of semantically relevant IoT data and corresponding suggestions. [PERSON] et al. [9] designed a mixed reality (MR) application for digital twin-based services. Taking an industrial crane platform as a case study, the application allowed crane operators to monitor the crane status and control its movement. With the help of augmented reality technology, virtual models can be placed in real scenes to interact with real scenes while reducing the production of real models and improving industrial production efficiency. This research intends to apply augmented reality to factory visualization, design and implement a human-centered industrial display human-machine interface, that is, the operator uses AR glasses or handheld mobile computer equipment to query and display the information of the workshop with the assistance of identification and AR registration technology, thereby reducing the system integration complexity and cost. Although augmented reality technology has been applied to the industrial field, most of the existing AR industrial display systems are developed for specific application scenarios, which have poor versatility and a long development cycle. For example, the AR-based disassembly and assembly process guidance system is only for specific dedicated products. This research proposes a quick development toolkit for augmented reality visualization of a factory (QDARV). With this tool, AR programs for different application objects can be quickly designed, and a human-centered AR display interface can be established. The main contributions of this paper are summarized as follows. (1) A quick development toolkit called QDARV is proposed for augmented reality visualization of a factory.