基于Django 的金属在线硬度检测系统的设 计与实现

为了提高金属硬度检测的便捷性与准确性，设计并实现了一套线上硬度检测系统，完成信息管理与在线检测功能。系统基于Django 框架搭建，以金属的巴克豪森噪声信号为检测数据，实现能够以引导模式，依据实际检测材料及条件，从数据库中查询并调用已存储的仪器检测参数及多项力学性能的微磁定量预测模型，实现力学性能的自动、定量微磁检测。此系统可以在线接收用户上传的待检测金属文件并进行检测，最后返回检测结果，同时也需具备巴克豪森噪声信号文件的信息管理系统功能，用户可以随时下载存储在数据库中的信号文件，管理员也可以随时根据新测的数据对现有的数据库进行更新和管理，极大的方便了金属硬度检测的过程。

Design and Implementation of On-line Hardness Testing System for Metals Based on Django

In order to improve the convenience and accuracy of metal hardness testing, an on-line hardness testing system was designed and implemented, and the functions of information management and on-line monitoring were completed. The system is based on Django framework, using metal Barkhausen noise signal as detection data, realizing automatic and quantitative micromagnetic testing of mechanical properties by inquiring and calling the stored instrumental testing parameters and multiple mechanical properties quantitative prediction models from the database according to the actual testing materials and conditions. This system can receive and test the metal files uploaded by users online, and return the test results. At the same time, it also needs the information management system function of Barkhausen noise signal files. Users can download the signal files stored in the database at any time. Administrators can update and manage the existing database according to the newly measured data at any time. It facilitates the process of metal hardness testing.