A power monitoring system based on big data fusion model

A fusion model and power monitoring technology, applied in the field of power systems, can solve problems such as high operation and maintenance costs, low power management efficiency, low security and reliability of power monitoring systems, and improve modern management level and scalability strong effect

Active Publication Date: 2022-07-26
衍博集团有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the safety and reliability of the power monitoring system are not high, the efficiency of power consumption management is low, and the operation and maintenance costs are high

Method used

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  • A power monitoring system based on big data fusion model
  • A power monitoring system based on big data fusion model
  • A power monitoring system based on big data fusion model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] figure 1 It is a system architecture diagram of the present invention. like figure 1 As shown, the present invention provides a power monitoring system based on a big data fusion model, the system comprising:

[0071] The field device layer, which adopts an industrial field bus, connects the smart devices on the field device layer to form a network, and collects on-site data through the smart devices on the field device layer.

[0072] Communication management layer, which collects data and information, converts communication protocols, and receives and transmits instructions;

[0073] The system management layer displays, analyzes and stores the collected data.

[0074] Specifically, the system adopts the architectural design combining the whole and the distribution, and is designed according to different functions and different modules. The whole system is divided into three layers: the field device layer, the communication management layer and the system managemen...

Embodiment 2

[0115] The present invention also provides a power monitoring system based on a big data fusion model, the system includes a processor and a memory, and the processor is configured to execute instructions stored in the memory to achieve the following operations:

[0116] Controlling the smart devices on the field device layer to collect on-site data, wherein the field device layer adopts an industrial field bus to connect the smart devices on the field device layer to form a network;

[0117] Control the communication management layer to collect data and information, convert communication protocols, and receive and transmit instructions;

[0118] The management of the control system displays, analyzes and stores the collected data;

[0119] Wherein, the system management layer adopts the deep learning-based CoxPH algorithm to extract feature values ​​from the received data, including:

[0120] Define the model hazard function: (1)

[0121] It satisfies: Constant= (2) ...

Embodiment 3

[0133] The present invention also provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, realize the following operations:

[0134] Controlling the smart devices on the field device layer to collect on-site data, wherein the field device layer adopts an industrial field bus to connect the smart devices on the field device layer to form a network;

[0135] Control the communication management layer to collect data and information, convert communication protocols, and receive and transmit instructions;

[0136] The management of the control system displays, analyzes and stores the collected data;

[0137] Wherein, the system management layer adopts the deep learning-based CoxPH algorithm to extract feature values ​​from the received data, including:

[0138] Define the model hazard function: (1)

[0139] It satisfies: Constant=...

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Abstract

The invention relates to a power monitoring system based on a big data fusion model. The system is divided into three layers: a field device layer, a communication management layer and a system management layer; the system adopts the CoxPH algorithm based on deep learning to analyze the received data. Extracting eigenvalues ​​can complete various practical functions such as switch status monitoring, analog quantity acquisition, comprehensive protection monitoring, remote control, alarm management, curve bar graph analysis, report generation, statistical printing, user management, accident recall, etc. Power reliability, improved power management efficiency, improved power supply quality, and reduced operation and maintenance costs.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a power monitoring system based on a big data fusion model. Background technique [0002] With the development of society and economy, the improvement of production automation, the liberation of labor force and the improvement of quality of life, a large number of electric energy-driven equipment have been put into production and life, and people's dependence on electricity has become higher and higher. The reliability and continuity of power supply have become one of the important issues concerned by the whole society. Because the power supply system has the particularity that production and consumption occur at the same time, effective monitoring of the entire power supply process is an important means to ensure the reliability and continuity of power supply. [0003] In the past, due to the many faults in the distribution link and the large number of branches, there wer...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/042
CPCG05B19/0423G05B2219/21063
Inventor 宋光红
Owner 衍博集团有限公司
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