Welcome to Scholar Publishing Group

Distributed Processing System, 2022, 3(2); doi: 10.38007/DPS.2022.030204.

Embedded Real-time Operating System in Remote Viewing of Electrical Automation Equipment

Author(s)

Jumshaid Ullah Khan

Corresponding Author:
Jumshaid Ullah Khan
Affiliation(s)

Commune d’Akanda, Gabon

Abstract

With the rapid development of computer science and the development of embedded information, digital control systems have huge application development prospects in the field of embedded technology. The chapter mainly discusses the practical application of remote viewing of electrical automation equipment based on embedded real-time operating system. The article first explores the security issues of embedded real-time operating systems and remote viewing systems. It is found that with the development of technology, the possibility of embedded operating system being attacked is increasing, and there is a need for further research on security protection strategies based on embedded systems. Then the embedded real-time scheduling algorithm of PPB-MFT-EDF and embedded real-time schedulable conditions are proposed. Finally, the application of embedded real-time algorithm in micro power supply is explored, which leads to its application effect in electrical automation equipment. The research results show that the energy storage device will charge and discharge low-priced electricity in the valley section, reduce the total power generation cost, and also eliminate the phenomenon of simultaneous charging and discharging of energy storage. Reflecting the superiority of the embedded real-time algorithm, the embedded real-time scheduling algorithm has been reasonably dispatched in the electrical automation equipment, which can improve the performance of the electrical automation equipment by more than 80%.

Keywords

Embedded Real-time Operating System, Electric Automation, Remote View, Real-time Scheduling Algorithm

Cite This Paper

Jumshaid Ullah Khan. Embedded Real-time Operating System in Remote Viewing of Electrical Automation Equipment. Distributed Processing System (2022), Vol. 3, Issue 2: 42-59. https://doi.org/10.38007/DPS.2022.030204.

References

[1] Tamura Y ,  Doan T T ,  Chiba T , et al. A real-time operating system supporting distributed shared memory for embedded control systems. Cluster Computing, 2017, 13(10):1-10. https://doi.org/10.1007/s10586-017-1140-9

[2] Archibald J ,  Wilde D . Embedded software education: an RTOS-based approach. Acm Sigbed Review, 2017, 14(1):71-80. https://doi.org/10.1145/3036686.3036695

[3] Xue L ,  Wang Y ,  Chang N , et al. Concurrent Task Scheduling and Dynamic Voltage and Frequency Scaling in a Real-Time Embedded System With Energy Harvesting. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2016, 35(11):1890-1902. https://doi.org/10.1109/TCAD.2016.2523450

[4] Alvarez A G ,  Evin D A ,  Verrastro S . Implementation of a Speech Recognition System in a DSC. IEEE Latin America Transactions, 2016, 14(6):2657-2662. https://doi.org/10.1109/TLA.2016.7555234

[5] Perez Tijero H ,  Rivas M A ,  Ortega D M . Multiprocessor platform for partitioned real-time systems: Multiprocessor platform for partitioned real-time systems. Software Practice and Experience, 2016, 47(1):61-78. https://doi.org/10.1002/spe.2404

[6] Wang J ,  Zhang L ,  Duan L , et al. A new paradigm of cloud-based predictive maintenance for intelligent manufacturing. Journal of Intelligent Manufacturing, 2017, 28(5):1125-1137.

[7] Ji Q ,  Dai C ,  Hou C , et al. Real-time embedded object detection and tracking system in Zynq SoC. EURASIP Journal on Image and Video Processing, 2021, 2021(1):1-16.

[8] Fabricio M A ,  Behrens F H ,  Bianchini D . Monitoring of Industrial Electrical Equipment using IoT. IEEE Latin America Transactions, 2020, 18(8):1425-1432. https://doi.org/10.1109/TLA.2020.9111678

[9] Kim B ,  H  Yang. Reliability Optimization of Real-Time Satellite Embedded System Under Temperature Variations. IEEE Access, 2020, 8(99):1-1.

[10] Tsai C Y ,  Liao H C ,  Hsu K J . Real-time embedded implementation of robust speed-limit sign recognition using a novel centroid-to-contour description method. Iet Computer Vision, 2017, 11(6):407-414. https://doi.org/10.1049/iet-cvi.2016.0082

[11] Almeida R ,  Manuel C . System Support and Dependable Adaptation in Small Real-Time Embedded Systems. IEEE Latin America Transactions, 2016, 14(10):4402-4408. https://doi.org/10.1109/TLA.2016.7786322

[12] Barladian B K ,  Shapiro L Z ,  Mallachiev K A , et al. Visualization Component for the Aircraft Real-Time Operating System JetOS. Programming and Computer Software, 2020, 46(3):167-175.

[13] Baskiyar S ,  Huang C C ,  Tam T Y . Minimum energy consumption for rate monotonic scheduled tasks. Computing, 2016, 98(6):661-684. https://doi.org/10.1007/s00607-015-0475-4

[14] Cvm A ,  Vh B . A Host Intrusion Detection System architecture for embedded industrial devices. Journal of the Franklin Institute, 2021, 358( 1):210-236.

[15] Choi H ,  Koo Y ,  Park S . Quantitative Analysis of Power Consumption for Low Power Embedded System by Types of Memory in Program Execution. Journal of Korea Multimedia Society, 2016, 19(7):1179-1187.

[16] Rathai K ,  Alamir M ,  Sename O , et al. A Parameterized NMPC Scheme for Embedded Control of Semi-active Suspension System - ScienceDirect. IFAC-PapersOnLine, 2018, 51( 20):301-306. https://doi.org/10.1016/j.ifacol.2018.11.029

[17] Wang J ,  Fu Y . Design and implementation of scintillation index measuring system based on ARM9. Optik - International Journal for Light and Electron Optics, 2016, 127(6):3171-3174. https://doi.org/10.1016/j.ijleo.2015.12.071

[18] Emelenko A N ,  Mallachiev K A ,  Pakulin N V . Developing a Debugger for Real-Time Operating System. Proceedings of the Institute for System Programming of RAS, 2016, 28(2):193-204.

[19] Kafadar O ,  Sertcelik I . A Computer-Aided Data Acquisition System for Multichannel Seismic Monitoring and Recording. IEEE Sensors Journal, 2016, 16(18):6866-6873.

[20] Lee Y ,  Waterman A ,  Cook H , et al. An Agile Approach to Building RISC-V Microprocessors. IEEE Micro, 2016, 36(2):8-20. https://doi.org/10.1109/MM.2016.11

[21] Dabove P ,  Pietra V D . Towards high accuracy GNSS real-time positioning with smartphones. Advances in Space Research, 2019, 63( 1):94-102.

[22] Sewell T ,  Kam F ,  Heiser G . High-assurance timing analysis for a high-assurance real-time operating system. Real-Time Systems, 2017, 53(5):812-853.

[23] Donghwan, Son, Hwayooung, et al. Highly reliable partitioning real-time operating system and case studies on weapon system applications. Communications of the Korean Institute of Information Scientists and Engineers, 2016, 34(10):53-59.

[24] Greeff H ,  Manandhar A ,  Thomson P , et al. Distributed Inference Condition Monitoring System for Rural Infrastructure in the Developing World. IEEE Sensors Journal, 2019, 19(5):1820-1828. https://doi.org/10.1109/JSEN.2018.2882866

[25] Ovatman T ,  Aral A ,  D  Polat, et al. An overview of model checking practices on verification of PLC software. Software & Systems Modeling, 2016, 15(4):937-960. https://doi.org/10.1007/s10270-014-0448-7