数据分析技术与隐患排查治理深度融合的方案研究

Research on the Deep integration of Data Analysis Technology and Hidden Danger investigation and Governance

随着经济的迅速发展,中国的电力网络建设速度也越来越快,电压等级也有了较大的提升,电网拓扑结构日益复杂,巡视工作量不断增加。当前,很多供电公司主要通过定期巡视、跨越施工、现场存在故障以及检修预试等手段来发现隐患,其中通过基层员工日常巡视发现安全隐患是目前安全隐患发现的主要手段。文章通过大数据分析技术对隐患排查工作进行工作分析,借此提高隐患排查工作的效率。

With the rapid economic development,China’s power network construction speed is getting faster and faster,the voltage level has also been greatly improved,the grid topology is becoming increasingly complex,and the workload of inspections is increasing.At present,many power supply companies mainly fi nd hidden dangers through regular inspections,cross-construction,site failures,and maintenance pre-tests.Among them,the detection of safety hazards through daily inspections by grassroots employees is the main means of detecting safety hazards.With the continuous increase of hidden danger inspection workload,the energy invested in a single device(line)is relatively reduced.At the same time,because of the lack of effective information guidance,it is impossible to accurately locate the key areas that may have hidden dangers,the inspection work is not focused,and hidden dangers are found Low effi ciency and rely on personal experience.