Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model
The demand for energy in factories is huge. With abundant energy supply, factories can raise their production capacity to a new height. Energy is the material basis of domestic economic development. As the largest developing country in the world, energy shortage has become an urgent problem for Chin...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Function Spaces |
| Online Access: | http://dx.doi.org/10.1155/2022/7631323 |
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| _version_ | 1832558408727789568 |
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| author | Ang Li Chen Zhang Lei Li |
| author_facet | Ang Li Chen Zhang Lei Li |
| author_sort | Ang Li |
| collection | DOAJ |
| description | The demand for energy in factories is huge. With abundant energy supply, factories can raise their production capacity to a new height. Energy is the material basis of domestic economic development. As the largest developing country in the world, energy shortage has become an urgent problem for China. In this paper, an Internet of Things based on big data ecosystem is proposed to analyze the energy consumption of the factory and build a model. The Internet of Things technology of big data ecosystem can be summarized as a technology that uses information sensing devices to complete the transaction and network connection according to the protocol content. A total of 853,000 power distribution operations were carried out in the power grid. In 2019, the average ratio of decision tree algorithm, machine learning algorithm, and machine learning algorithm was 36.8%, 37.4%, and 43.5%, respectively. Compared with the three methods, the method in this paper increased by 37.9% year-on-year and reduced the power outage by 2.63 million households, which is equivalent to a corresponding reduction of 35 users per operation. The functional requirements of the IoT energy consumption analysis system in factories based on big data ecosystem are reflected in three aspects: energy consumption monitoring and management, power control and management, and energy consumption supervision and analysis. Based on the management of energy consumption monitoring and power control through the software platform, the functional requirements of the system are analyzed. |
| format | Article |
| id | doaj-art-b871bc17d1a745eaad90c62bb6d6a566 |
| institution | Kabale University |
| issn | 2314-8888 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Function Spaces |
| spelling | doaj-art-b871bc17d1a745eaad90c62bb6d6a5662025-02-03T01:32:28ZengWileyJournal of Function Spaces2314-88882022-01-01202210.1155/2022/7631323Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis ModelAng Li0Chen Zhang1Lei Li2Institute of Electronic Engineering and Optoelectronic TechnologyInstitute of Electronic Engineering and Optoelectronic TechnologyCollege of Telecommunications & Information EngineeringThe demand for energy in factories is huge. With abundant energy supply, factories can raise their production capacity to a new height. Energy is the material basis of domestic economic development. As the largest developing country in the world, energy shortage has become an urgent problem for China. In this paper, an Internet of Things based on big data ecosystem is proposed to analyze the energy consumption of the factory and build a model. The Internet of Things technology of big data ecosystem can be summarized as a technology that uses information sensing devices to complete the transaction and network connection according to the protocol content. A total of 853,000 power distribution operations were carried out in the power grid. In 2019, the average ratio of decision tree algorithm, machine learning algorithm, and machine learning algorithm was 36.8%, 37.4%, and 43.5%, respectively. Compared with the three methods, the method in this paper increased by 37.9% year-on-year and reduced the power outage by 2.63 million households, which is equivalent to a corresponding reduction of 35 users per operation. The functional requirements of the IoT energy consumption analysis system in factories based on big data ecosystem are reflected in three aspects: energy consumption monitoring and management, power control and management, and energy consumption supervision and analysis. Based on the management of energy consumption monitoring and power control through the software platform, the functional requirements of the system are analyzed.http://dx.doi.org/10.1155/2022/7631323 |
| spellingShingle | Ang Li Chen Zhang Lei Li Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model Journal of Function Spaces |
| title | Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model |
| title_full | Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model |
| title_fullStr | Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model |
| title_full_unstemmed | Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model |
| title_short | Application of Internet of Things Based on Big Data Ecosystem in Factory Energy Consumption Analysis Model |
| title_sort | application of internet of things based on big data ecosystem in factory energy consumption analysis model |
| url | http://dx.doi.org/10.1155/2022/7631323 |
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