摘要
针对原有电力人工智能开放平台人机交互情况较差的问题,对电力人工智能开放平台关键技术进行研究。采用逻辑回归算法对平台中大数据进行驱动处理,对数据处理结果采用卷积神经网络中的卷积计算完成电力业务分流,通过自然语言与信息层级结构相结合实现人机交互,最后,通过代码编写对平台内信息进行分类表示,保证平台信息的智能检索。至此,电力人工智能开放平台关键技术研究完成。设计对比实验,通过对比平台人机交互信息完整度,实现对人机交互情况的对比。与原平台进行对比,此平台交互结果完整度更高。由此可见,电力人工智能开放平台关键技术更有效。
Aiming at the problem that the human-computer interaction of the original open platform of electric artificial intelligence is poor,the key technologies of the open platform of electric artificial intelligence are studied.The logistic regression algorithm is used to drive the big data of the platform,the result of the data processing is used convolution convolution computation in the neural network to complete the electric power business,human-machine interaction is realized through a combination of natural language and information structure,in the end,information intelligent retrieval platform is quaranteed through code classified information within the platform.So far,electric artificial intelligence open platform key technology research is completed.A comparison experiment is constructed to realize the comparison of human-computer interaction by comparing the completeness of human-computer interaction information on the platform.Compared with the original platform,the interaction result of this platform is more complete.Thus,the key technologies of electric artificial intelligence open platform are more effective.
作者
黄安子
HUANG Anzi(Shenzhen Power Supply Co.Ltd,Shenzhen Guangdong 518000,China)
出处
《自动化与仪器仪表》
2020年第5期189-192,共4页
Automation & Instrumentation
基金
中国南方电网有限责任公司科技项目(No.090000KK52170124)。
关键词
人工智能开放平台
关键技术
技术应用
平台设计
artificial intelligence open platform
key technologies
technology application
platform design
