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Intelligent regulation and control method for mobile terminal

A mobile terminal and intelligent technology, applied in the direction of neural learning methods, neural architecture, biological neural network models, etc., can solve the problems of few sources of big data acquisition and large errors

Active Publication Date: 2021-07-06
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JINHUA POWER SUPPLY CO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For now, intelligent AI fault judgment and intelligent scheduling represented by convolutional neural networks have been relatively mature applications. In the case of circuit configuration and power consumption, there are few sources of big data acquisition. Due to the lack of training data, the error of the final result will be large. Therefore, if there is a stable and accurate source of big data suitable for the grid system The intelligent control method of the mobile terminal can greatly improve the effectiveness of the intelligent control

Method used

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  • Intelligent regulation and control method for mobile terminal
  • Intelligent regulation and control method for mobile terminal
  • Intelligent regulation and control method for mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] An intelligent control method for a mobile terminal, used in conjunction with a server and a mobile terminal, the server communicates with the mobile terminal after passing security scanning and login verification steps, and the server communicates with the mobile terminal through an external network communication mode, including initialization steps, The fault data self-calculation by collecting field data, the neural network training step using the fault data self-calculation result, and the fault intelligent prompting step by using the trained neural network.

[0043] described initialization steps (see attached figure 1 ):

[0044] The server builds a simulation model based on a field device. The server imports the parameters of the field device according to the settings, and at the same time sets the correlation between the field devices. The power system power flow calculation is performed separately in each state, and the server obtains the normal operation stat...

Embodiment 2

[0074] This embodiment is basically the same as Embodiment 1, the difference is that in this embodiment, the mobile terminal may also include a security verification deployment unit and an application unit, and the security verification deployment unit includes a security scanning module, a login verification Module, external network service management module, account management module, the application unit includes a fault monitoring module of the target field equipment, a speech recognition and understanding module, and a learning and training module, and the learning and training module includes a grid technology training module, a mobile examination module, a special Training module, learning material management module and training library.

[0075] The security verification deployment unit performs data transmission interaction by regulating the cloud platform and the ICT security transmission platform, the security scanning module is used to scan the user's login environm...

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Abstract

The invention relates to an intelligent regulation and control method for a mobile terminal, which solves the problems in the prior art, and is characterized in that the intelligent regulation and control method is matched with a server and the mobile terminal for use, the server is in communication connection with the mobile terminal after the steps of security scanning and login verification, and the server is in communication connection with the mobile terminal in an external network communication mode. The method comprises an initialization step, a fault data self-calculation step by collecting the field data, a neural network training step by using a fault data self-calculation result, and a fault intelligent prompting step by using the trained neural network. According to the method, the source of big data is realized in an ingenious mode, namely, the opportunity of testing personal ability is fully utilized, the parameters for training the neural network are determined while the ability is trained in a manual determination mode, and a large amount of available relatively accurate data is obtained through the method to provide a fault solution.

Description

technical field [0001] The invention relates to an intelligent control method suitable for a power grid system, in particular to an intelligent control method for a mobile terminal suitable for a power grid system. Background technique [0002] In recent years, technologies such as artificial intelligence and cloud computing have become increasingly mature. Combining artificial intelligence, cloud computing and power grid regulation business is an inevitable trend in the development of power grid regulation business. solid foundation. With the gradual expansion of the scale of the power grid and the accumulation of massive power grid operation data, the power grid operation data cannot be displayed intuitively. It is necessary to display the full model of the equipment under the jurisdiction of dispatching agencies at all levels in space, and invert the grid structure of the power grid on the time scale. Changes and historical section operation data of the power grid, as we...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/04G06N3/08
Inventor 马翔崔建业张文杰郭云鹏何云良贺沛宇黄剑峰吕磊炎宋昕项中明皮俊波吴华华吴敏敏陈水耀童存智谷炜方璇余剑锋李振华陈云飞徐昊郑翔杜浩良张小聪徐立中蒋正威吴炳超阙凌燕沈曦钱凯洋
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JINHUA POWER SUPPLY CO