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Fan energy consumption monitoring method and system

A technology of energy consumption monitoring and fan, applied in neural learning methods, measuring electricity, measuring devices, etc., can solve problems such as unsuitable all-weather energy efficiency monitoring

Active Publication Date: 2014-08-27
SHANGHAI LEIPOLD ELECTRIC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above energy consumption detection methods make the existing equipment unsuitable for fan application enterprises to monitor energy consumption, and the existing expensive equipment is not suitable for matching each fan to realize all-weather energy efficiency monitoring

Method used

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  • Fan energy consumption monitoring method and system
  • Fan energy consumption monitoring method and system

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Embodiment Construction

[0033] A fan energy consumption monitoring system, including three three-axis acceleration sensors 1 respectively placed on the housing of the bearing seat, the motor casing, and the fan casing, and two eddy current sensors 2 perpendicular to each other in the vertical plane of the rotating shaft, the three-axis acceleration sensor , the eddy current sensor is connected with the signal processing and feature extraction module, and the signal processing and feature extraction module is connected with the neural network-based classification recognition module. "Signal processing and feature extraction module" and "neural network-based classification recognition module" rely on PC or high-performance controller (such as FPGA, etc.) Heart trajectory feature extraction, pattern recognition based on multi-weight neural network.

[0034] 1. First, collect offline training samples. The specific implementation process is as follows:

[0035] The system is only used for offline collect...

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Abstract

The invention discloses a fan energy consumption monitoring method and system. When a training sample in obtained, energy consumption of a fan is increased by artificially making various faults, the energy efficiency detection method and system specified by the national standard of China are adopted to test the added values of energy consumption of the fan under various faults, the values of increased energy consumption caused by different faults are classified, a vibration characteristic sample and a track characteristic sample are combined to serve as the training sample of a neural network, and a higher space multi-weight neural network is built. In all-weather energy consumption monitoring, only a low-cost three-shaft acceleration sensor and an eddy-flow sensor need to be additionally installed on the fan, three-dimensional vibration signals and shaft center orbit feature vectors are input the multi-weight neural network, and different types of network output are energy consumption addition classifications.

Description

technical field [0001] The invention relates to a method and system for monitoring fan energy consumption. Background technique [0002] Fans, motors, pumps, and compressors are collectively referred to as "industrial motor systems" by the International Energy Agency (IEA). The National Development and Reform Commission pointed out in the "Eleventh Five-Year" energy-saving plan that industrial motor systems are the main power users in China, accounting for more than 50% of the total electricity consumption, of which the electricity consumption of fans accounts for 10.4% of the country's electricity consumption. Therefore, the improvement of fan efficiency is of great significance to saving electric energy. [0003] The fan system has a large volume and a wide area, and the potential for power saving is huge. The promulgation of the national standard "Energy Efficiency Limits and Energy Efficiency Grades of Fans" stipulates the energy efficiency grades, energy efficiency li...

Claims

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Application Information

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IPC IPC(8): G01L3/26G01R31/00G06N3/08
Inventor 华亮顾菊平羌予践李俊红张齐吴晓张新松徐一鸣张华华俊豪蒋凌
Owner SHANGHAI LEIPOLD ELECTRIC
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