## 1 Introduction  
Nowadays, UAV platforms are a valuable source of data for mapping, surveillance, and 3D modeling [1]. At present, the research on UAV tilt photogrammetry mainly includes flight motion control and image data processing [2]. In the context of smart city construction and booming development, high precision, high-efficiency, and realistic 3D city models are some of the most important basic data. UAV tilt photogrammetry, as one of the most important technologies for conducting live-view 3D model production at present, has several advantages: it is highly efficient, economical favorable, and saves human and material resources. It has been widely used in the fields of map mapping [3], geological survey [4], disaster detection [5], environmental protection [6], engineering construction [7, 8], agriculture and forestry [9], and digital city construction [10]. UAV tilt photography monolithic modeling can represent the detailed features of an object to be measured more finely than tilt photogrammetry modeling with five fixed lenses and routes. However, its disadvantage is also more obvious that the relatively low efficiency of internal and external data collection and processing. Therefore, how to improve the efficiency of internal and external data collection and processing, on the basis of ensuring 3D model quality? This is an important issue in the production management of UAV oblique photography monomer modeling. The production efficiency of UAV tilt photography monomer modeling and the control and management of 3D model quality involve the influence of various elements. Therefore, building a control and management evaluation system for production efficiency and model quality is a complex system engineering task.  
Analytic hierarchy process (AHP) is a system evaluation method for optimizing and evaluating systems with diverse object attributes and complex structures which are difficult to analyze completely quantitatively [11]. The method was first proposed by [PERSON], an American operations researcher and professor at the University of Pittsburgh, and was used in the study of the U.S. Department of Defense's \"Conttingency Plan\", which was introduced to the public at the First International Conference on Mathematical Modeling in 1977. This method is flexible, systematic, and concise, and has been widely used in economic management [12], public management and decision making [13; 14; 15], production management and decision making [16; 17], environmental disasters and assessment [18], urban planning and landscape ecology [19; 20], resource and environmental assessment and optimal allocation [21; 22; 23], education management [24; 25], and other related research areas [26; 27]. In summary, the analytic hierarchy process has had good results in the evaluation of highly complex structural systems, which are scientific methods for analysis, management, and decision making.  
The management system of internal and external production and quality control for UAV oblique photography monomer modeling, involving multiple factors, is a complex system engineering, to which the evaluation and analysis need qualitative, quantitative as well as other systematic evaluation models and methods. However, no scholars have yet conducted a scientific and systematic analysis of the internal and external production and quality control system of UAV tilt photography monomer modeling using the AHP method in either management science or the field of UAV application technology. In this paper, the AHP system evaluation method is used as the theoretical basis to explore and analyze each system evaluation element and the relationship between them through experiments and to make decisions on the optimal modeling scheme so as to achieve system optimization.