Design of intelligent anti electricity theft monitoring device based on ARM computing modeling.
Saved in:
| Title: | Design of intelligent anti electricity theft monitoring device based on ARM computing modeling. |
|---|---|
| Authors: | Zhang, Shilin1 (AUTHOR) yl19837103319@163.com |
| Source: | International Journal of Emerging Electric Power Systems. Dec2025, Vol. 26 Issue 6, p1007-1015. 9p. |
| Subjects: | ARM microprocessors, Electric loss in electric power systems, Detection algorithms, Systems design, Electric power distribution grids |
| Abstract: | Electricity theft increases the line loss rate of the power grid, causing a greater burden to the power grid company. At the same time, in terms of social impact, electricity theft disrupts the normal order of electricity consumption and has a bad effect on society and electricity-using enterprises. Most of the methods of stealing electricity are by affecting the metering method of the electric energy meter or privately connecting the wires to make the electric energy less metered or not metered, which not only destroys the power metering device but also seriously affects the stable operation of the power grid. The main purpose of this paper is to research the design of an intelligent anti-stealing monitoring device based on ARM. In this paper, the overall scheme of the anti-stealing device involved is designed through the analysis of the characteristics of electricity stealing. At the same time, the main components of the system and the work to be completed by each part of the module are pointed out. Finally, the software flow of the system is designed, and the whole system is tested and analyzed. Experiments show that the on-site verification of each abnormal power meter is consistent with the software display results, indicating that the anti-power stealing monitoring device has a high accuracy rate in power stealing monitoring, has a good on-site power stealing monitoring effect, and accurately monitors abnormal tables and abnormal conditions at the same time, which can reduce the line loss rate, which proves the feasibility of the device. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Emerging Electric Power Systems is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 189791555 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Design of intelligent anti electricity theft monitoring device based on ARM computing modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Shilin%22">Zhang, Shilin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yl19837103319@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Emerging+Electric+Power+Systems%22">International Journal of Emerging Electric Power Systems</searchLink>. Dec2025, Vol. 26 Issue 6, p1007-1015. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22ARM+microprocessors%22">ARM microprocessors</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+loss+in+electric+power+systems%22">Electric loss in electric power systems</searchLink><br /><searchLink fieldCode="DE" term="%22Detection+algorithms%22">Detection algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Electricity theft increases the line loss rate of the power grid, causing a greater burden to the power grid company. At the same time, in terms of social impact, electricity theft disrupts the normal order of electricity consumption and has a bad effect on society and electricity-using enterprises. Most of the methods of stealing electricity are by affecting the metering method of the electric energy meter or privately connecting the wires to make the electric energy less metered or not metered, which not only destroys the power metering device but also seriously affects the stable operation of the power grid. The main purpose of this paper is to research the design of an intelligent anti-stealing monitoring device based on ARM. In this paper, the overall scheme of the anti-stealing device involved is designed through the analysis of the characteristics of electricity stealing. At the same time, the main components of the system and the work to be completed by each part of the module are pointed out. Finally, the software flow of the system is designed, and the whole system is tested and analyzed. Experiments show that the on-site verification of each abnormal power meter is consistent with the software display results, indicating that the anti-power stealing monitoring device has a high accuracy rate in power stealing monitoring, has a good on-site power stealing monitoring effect, and accurately monitors abnormal tables and abnormal conditions at the same time, which can reduce the line loss rate, which proves the feasibility of the device. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Emerging Electric Power Systems is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189791555 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1515/ijeeps-2024-0404 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1007 Subjects: – SubjectFull: ARM microprocessors Type: general – SubjectFull: Electric loss in electric power systems Type: general – SubjectFull: Detection algorithms Type: general – SubjectFull: Systems design Type: general – SubjectFull: Electric power distribution grids Type: general Titles: – TitleFull: Design of intelligent anti electricity theft monitoring device based on ARM computing modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Shilin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1553779X Numbering: – Type: volume Value: 26 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Emerging Electric Power Systems Type: main |
| ResultId | 1 |
