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Power grid real-time scheduling intelligent voice interaction system based on deep neural network

A technology of deep neural network and intelligent voice, applied in biological neural network model, voice analysis, voice recognition, etc., can solve the problems of increasing the work difficulty of dispatchers and scheduling operation errors, so as to reduce the probability of human scheduling operation errors, The effect of reducing work difficulty and increasing coverage

Pending Publication Date: 2021-12-14
国家电网公司西南分部
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AI Technical Summary

Problems solved by technology

[0003] When the power grid is dispatched in real time, the dispatchers directly face a large amount of power grid operation data, and their dispatching decisions often rely too much on the data analysis ability of their work experience, which increases the difficulty of the dispatcher's work and has potential risk factors for dispatching operation errors

Method used

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  • Power grid real-time scheduling intelligent voice interaction system based on deep neural network
  • Power grid real-time scheduling intelligent voice interaction system based on deep neural network
  • Power grid real-time scheduling intelligent voice interaction system based on deep neural network

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Embodiment

[0040] see Figure 1-16 , the present invention provides a technical solution: an intelligent voice interaction system for power grid real-time dispatching based on a deep neural network, including an application layer, a platform layer, and a data layer. Identification of intent, query of data in various business systems, call of pages, and automatic generation of relevant reports. The platform layer provides relevant service support according to business application needs. The application layer includes a basic engine, an intelligent interactive platform, and an intelligent voice Platform, the data layer accesses business data or function calls from external systems according to business application requirements, supports related application display, and stores business data generated by related applications at the same time. The data layer includes model data, operating data, real-time data, report data, document data, system hardware architecture such as Image 6As shown,...

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Abstract

The invention belongs to the technical field of power grid real-time scheduling, and particularly relates to a power grid real-time scheduling intelligent voice interaction system based on a deep neural network. The system comprises an application layer, a platform layer and a data layer,the application layer is based on an intelligent interaction and voice technology to realize identification of scheduling instructions and intentions, query of data of each business system, calling of pages and automatic generation of related reports, the application layer comprises a scheduling assistant, the platform layer provides related service support according to business application requirements, the application layer comprises a basic engine, an intelligent interaction platform and an intelligent voice platform, the data layer is used for accessing service data or function calling from an external system according to service application requirements and supporting related application display, and the data layer comprises model data, operation data, real-time data, report data and document data. Through human-computer interaction, the working difficulty of scheduling personnel is reduced, and the probability of manual scheduling operation errors is reduced.

Description

technical field [0001] The invention relates to the technical field of power grid real-time dispatching, in particular to an intelligent voice interaction system for power grid real-time dispatching based on a deep neural network. Background technique [0002] Power grid dispatching is an important means to change the operating state of equipment, adjust the operating parameters of the power grid, and even change the operation mode of the power grid. Reasonable dispatching operation is an important guarantee for the safe and economical operation of the power grid. When dispatchers at all levels conduct dispatching operations, any analysis of the current operating state of the power grid and any decision-making on dispatching operations will have varying degrees of impact on the safe production of the power grid. However, with the continuous development of the power industry, the continuous innovation of electrical technology and the continuous access of distributed energy to...

Claims

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Application Information

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IPC IPC(8): G06F40/35G06F40/284G06F40/242G06N3/04G06N3/08G06Q10/06G06Q50/06G10L15/16G10L15/26G10L15/30H04L29/08
CPCG06F40/35G06F40/242G06F40/284G06N3/08G06Q10/06311G06Q50/06G10L15/16G10L15/26G10L15/30H04L67/12G06N3/045
Inventor 胡翔杜继成杨洋白江蒋长江鲁功强曾星星李凌川吴星龚正宇高鹏唐进匡仲琴高原潘自强王科镜
Owner 国家电网公司西南分部
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