The Tianlai project is a 21 cm intensity mapping experiment aimed at detecting dark energy by measuring the baryon acoustic oscillation (BAO) features in the large scale structure power spectrum. This experiment provides an opportunity to test the data processing methods for cosmological 21 cm signal extraction, which is still a great challenge in current radio astronomy research. The 21 cm signal is much weaker than the foregrounds and easily affected by the imperfections in the instrumental responses. Furthermore, processing the large volumes of interferometer data poses a practical challenge. We have developed a data processing pipeline software called tlpipe to process the drift scan survey data from the Tianlai experiment. It performs offline data processing tasks such as radio frequency interference (RFI) flagging, array calibration, binning, and map-making, etc. It also includes utility functions needed for the data analysis, such as data selection, transformation, visualization and others. A number of new algorithms are implemented, for example the eigenvector decomposition method for array calibration and the Tikhonov regularization for $m$-mode analysis. In this paper we describe the design and implementation of the tlpipe and illustrate its functions with some analysis of real data. Finally, we outline directions for future development of this publicly code.

天来项目是一个21厘米的强度映射实验，旨在通过测量大型结构功率谱中的重子声振荡（BAO）特征来检测暗能量。该实验为测试21厘米宇宙学信号提取的数据处理方法提供了机会，这仍然是当前射电天文学研究中的巨大挑战。21厘米的信号比前景弱得多，很容易受到乐器响应中缺陷的影响。此外，处理大量干涉仪数据提出了实际挑战。我们已经开发了一种称为tlpipe的数据处理管道软件处理来自天来实验的漂移扫描调查数据。它执行离线数据处理任务，例如射频干扰（RFI）标记，阵列校准，合并和制图等。它还包括数据分析所需的实用程序功能，例如数据选择，转换，可视化等。实现了许多新算法，例如用于阵列校准的本征向量分解方法和用于阵列的Tikhonov正则化$米$模式分析。在本文中，我们描述tlpipe的设计和实现，并通过对实际数据的一些分析来说明其功能。最后，我们概述了此公开代码的未来发展方向。