Research on substation hazardous waste tracking and early warning based on big data

Based on big data technology, this study designed and implemented a substation hazardous waste tracking and early warning system. Through detailed evaluation and comparative analysis of system performance, the results show that the system has excellent performance in data processing speed, early warning response time and prediction accuracy, which is better than the industry average. The experimental results show that the system has high efficiency and reliable operation characteristics, and has important application value in hazardous waste management. However, a number of issues were also identified during the experiment, including large-scale data processing performance and data quality challenges. Some suggestions for system optimization and improvement are put forward, including optimizing system architecture, improving data quality and improving early warning mechanism.