面向智慧工地的压力机在线数据的预警应用开发

Application of Early Warning to Online Press Machines’ Data Facing Smart Site

摘要: 我国的试验机正处于由传统的液压试验机向电子试验机过渡的阶段。新生产的电子试验机在测量精度方面明显提高、并可通过计算机对数据进行实时采集，但其对试验环境和对象等方面有严格的控制，且成本较高，主要用于科研。所以部分企业依然在使用传统的液压试验机，但随着信息化建设的推进，靠人工控制的液压试验机显然不能适应时代的要求，如果完全淘汰，势必会造成资源的浪费。针对该问题，本文介绍的智慧工地压力机管理系统依托信息化技术，通过改造已有的试验机，利用第三方后台采集试验过程中的数据。该系统不仅能够实现数据的采集，还能实现对工程质量信息及工地试验室的动态管理以及智能预警。本系统的数据采集由客户端采集软件、数据传输单元以及服务器数据中心三部分组成。预警平台由报表子系统、触发中心以及模型库子系统这三部分组成。从具体的应用效果来看，本系统具有智能化和预警化的突出优势，智能化即实现了从系统前端到后端的全面智能化处理。预警化即出现不合格数据时，及时发出预警以便相关管理人员提前准备应急预案。

Abstract: Our country’s testing machine is in the stage of transition from traditional hydraulic testing machine to electronic testing machine. The newly-produced electronic testing machine can improve the measurement accuracy and collect the data in real-time by computer, but it sets high standards for the testing environment and the object. And the cost is high; thus it is mainly used for scientific research. Some enterprises are still using the traditional hydraulic testing machine. But with the recommendation of information construction, the hydraulic testing machine controlled by manual obviously cannot meet the requirements of the times. If they are eliminated completely, the problem of wasting resources will appear. In order to solve this problem, through transforming the existing testing machine and making use of third-party, the smart site press machines management system based on information technology can collect the testing data. The system can not only collect the data, but also realize dynamic management and intelligent early warning of engineering quality information and site laboratory. Data acquisition consists of three parts: client acquisition software, data transmission unit and server data center. The early warning platform is composed of three parts: report subsystem, trigger center and model base subsystem. The application results show that the system has the outstanding advantage of intelligentialize and early warning. Intelligentialize has realized the comprehensive intelligentize processing from the system front to the back end. Early warning means that when there is unqualified data, the system will issue warning timely, so that relevant managers can prepare plans in advance.