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A big data processing method based on ultra-low power solenoid valve

A big data processing, ultra-low power technology, applied in valve devices, instruments, calculations, etc., to achieve the effects of improving compactness, clustering results, and clustering accuracy

Active Publication Date: 2020-03-20
宁波埃米智能卫浴科技有限公司
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] However, there will be many problems in the actual application process. Since the solenoid valve in the water pipe network of the community needs to cover the entire community, the data measured by the internal sensor of the solenoid valve is very large, so when the measured data is transmitted through the wireless transmission network After returning to the central system, how to process these data quickly and accurately will become a technical shackle for promoting this new type of solenoid valve

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  • A big data processing method based on ultra-low power solenoid valve
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  • A big data processing method based on ultra-low power solenoid valve

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Embodiment Construction

[0062] Such as Figure 4 As shown, the present invention is suitable for processing the information collected by the ultra-low power consumption solenoid valve in the waterway pipe network of the residential area. After the various data measured by the solenoid valve are transmitted to the central system through the wireless transmission network, the returned data is processed by the SRSIO-FCM algorithm, and the optimized data cluster is further processed on the Apache Spark framework, thereby Analyze the current water quality, the current flow rate in the pipeline, and whether the residents of the community have abnormal water consumption and abnormal water consumption time.

[0063] The following are the specific steps:

[0064] Step 1: Collect information through the internal sensor of the solenoid valve

[0065] A new type of solenoid valve is installed in the nodes of the water pipe network of the community. This new type of solenoid valve is equipped with sensors such ...

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Abstract

The invention discloses a large data processing method based on an ultra-low-power solenoid valve. The invention implements an iterative optimization fuzzy c-mean algorithm in the Apache Spark framework to quickly and accurately process data measured by the solenoid valve. As one of the main technologies of unsupervised machine learning, fuzzy clustering algorithm is a method of analyzing and modeling important data with fuzzy theory, and establishes an uncertain description of sample categories, which can objectively reflect the real world. Effectively applied in large-scale data analysis, data mining, vector quantization, image segmentation, pattern recognition and other fields, it has important theoretical and practical application value. With the in-depth development of applications, the research on fuzzy clustering algorithms is constantly enriched.

Description

technical field [0001] The invention relates to the field of big data processing algorithms, in particular to a big data processing method based on an ultra-low power solenoid valve. Background technique [0002] With the advancement of urbanization, the urban water network has become more and more developed, and many problems have emerged at the same time. According to research, tap water loses as much as 30% of the water in the process of transportation, which shows that many parts of urban water network pipes leak, and after the pipe leaks, some impurities must enter the pipe, which will seriously affect the water quality. . In recent years, with the rapid economic development, people's lifestyles have undergone earth-shaking changes, people's health awareness has also been significantly enhanced, and people's attention to drinking water is getting higher and higher. In order to solve this problem, a new type of solenoid valve has been developed. This new type of ultra-...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F16K37/00G06K9/62
CPCF16K37/00G06F18/23213
Inventor 雷琦陈张平朱丹峰王建中李保红
Owner 宁波埃米智能卫浴科技有限公司
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