Transformer substation anti-misoperation risk pre-control method based on big data analysis technology

The invention discloses a transformer substation anti-misoperation risk pre-control method based on a big data analysis technology. The method comprises the steps of 1, establishing a dangerous point information base based on a big data analysis platform; 2, establishing a pre-control measure information base based on a big data analysis platform; step 3, configuring a dangerous point corresponding relation for each device; 4, prompting dangerous point information of the operation equipment in the simulation process, and generating a dangerous point pre-control measure ticket; and 5, avoiding the dangerous point in the operation process according to the dangerous point pre-control measure ticket. Possible dangerous points are analyzed before operation, the operation risk is reduced by generating the pre-control measure ticket, and the working efficiency is improved. 一种基于大数据分析技术的变电站防误操作风险预控方法，包括以下步骤；步骤一、基于大数据分析平台建立危险点信息库；步骤二、基于大数据分析平台建立预控措施信息库；步骤三、对每个设备配置危险点对应关系；步骤四、模拟过程中提示操作设备的危险点信息，并生成危险点预控措施票；步骤五、根据危险点预控措施票