Creating a Pre-ironmaking Digital and Intelligent Model | ELE, ELV and Automatic Control Systems Project of Chiji Steel is Fully Operational
Recently, the ELE, ELV and automatic control systems of 3# sintering machine of the raw material plant of Guangxi Chiji Steel Co., Ltd. (hereinafter referred to as "Chiji Steel"), which was constructed under the general contracting of Hunan Changtian Automation, a subsidiary of CIE, has been successfully put into operation, marking that the ELE, ELV and automatic control systems project of five production lines of 3×336 square meters sintering, 2.6 million tons/year chain grate-rotary kiln and coal tar has achieved full production.
The project is equipped with a self-developed intelligent sintering manufacturing system that incorporates self-learning and data-tracking technologies. This system can obtain data such as images and audio of the sintering process, enabling real-time online fault diagnosis of the sintering machine and creating digitalized process parameters such as ignition effects and end points of the sintering machine, and ferrous oxide content in the sinter. This advancement not only improves the quality of the sinter but also enhances the safety of the sintering production. In addition, visualized data of the cooling process of the circular cooler are obtained through the detection, tracking, and modeling of the layer thickness, ore temperature, and air temperature of the hot ore on the circular cooler pallet. By utilizing online analysis technology for sinter particle size, real-time warnings can be generated for the screen breakage of the sintering machine to ensure the stability of the sintering production.
In the project, a range of issues have been addressed, including outdated and limited maintenance management methods, as well as inefficient and extensive management approaches, by implementing functions such as standardized spot checks and maintenance management, monitoring of critical equipment parameters and process parameters, seamless collection of dynamic electrical drawings and equipment data, persistent data management, and intelligent data analysis. With this innovation, the temporal and spatial differences between the operational data of process equipment are reduced, the overall O&M efficiency of the equipment is improved, and digital management in the entire equipment lifecycle is achieved.