The hotel uses modern information technology to establish a customer data group, which contains information about the customer's information on space configuration, color design, etc., and uses scientific operation methods to accelerate the rapid, transformation and upgrading of the hotel. The rapid development of information technology represented by the big intelligent mobile cloud has a lot of functions, can meet the needs of different customers and diversified characteristics at the same time, and provides a complete, stable and accurate information integration platform for hotel system management. The main research directions of DASH include client adaptive algorithm design, multi-client fairness and resource utilization issues, client improvement under multiple servers, and server load balancing. The development and application of scientific and technological information has broken through the development path of the hotel management system, providing new development space and opportunities for the improvement of the hotel management system, but at the same time it will also face more new challenges. Therefore, this article focuses on the characteristics of the tourism accommodation management system under the big data environment, and analyzes the development of the hotel management system under the network environment. The purpose is to provide some reference and reference significance.

酒店利用现代信息技术建立客户数据群，其中包含客户在空间配置、色彩设计等方面的信息，以科学的运营方式，加速酒店的快速转型升级。以大智能移动云为代表的信息技术飞速发展，功能众多，可同时满足不同客户、多样化特点的需求，为酒店系统管理提供完整、稳定、准确的信息集成平台。DASH的主要研究方向包括客户端自适应算法设计、多客户端公平性和资源利用问题、多服务器下客户端改进、服务器负载均衡等。科技信息化的发展与应用，突破了酒店管理系统的发展路径，为酒店管理系统的完善提供了新的发展空间和机遇，但同时也将面临更多新的挑战。因此，本文着眼于大数据环境下旅游住宿管理系统的特点，分析网络环境下酒店管理系统的发展。目的是提供一些参考和参考意义。但同时也将面临更多新的挑战。因此，本文着眼于大数据环境下旅游住宿管理系统的特点，分析网络环境下酒店管理系统的发展。目的是提供一些参考和参考意义。但同时也将面临更多新的挑战。因此，本文着眼于大数据环境下旅游住宿管理系统的特点，分析网络环境下酒店管理系统的发展。目的是提供一些参考和参考意义。