2023 Vol.6 Oct.N05

• Title: Design and implementation of cross-regional office automation system based on cloud computing
• Name: Xiaoqian Zhang
• Company: (Computer Simulation Magazine, Beijing 100048, China)
• Abstract:

  The current conventional office automation system has low system operation efficiency due to storing the database locally. In this regard, the design method of cross-regional office automation system based on cloud computing is proposed. In terms of hardware, the frequency transmitting and receiving circuits are increased to improve the system's response speed for signal transmission and reception. On the software side, the server of the office system is deployed in the cloud platform, developed with JAVA lightweight framework, and the PID controller is used to integrate and control the office equipment. In the experiments, the proposed approach is verified for practical performance. Finally, the results from the functional tests show that the office automation system built with the proposed method has a lower transmission delay and the system operates more efficiently.

  
  

• Keyword: cloud computing; office automation; system design; functional design
• DOI: 10.12250/jpciams2023090715
• Citation form: Xiaoqian Zhang.Design and implementation of cross-regional office automation system based on cloud computing [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.68-72

[1] Bugaieva L , Beznosyk Y .Intelligent CBR system for automation of the search process for efficient methods for cleaning exhaust gases [J]. Proceedings of the NTUU "Igor Sikorsky KPI" Series Chemical engineering ecology and resource saving, 2021(2):44-50.

[2] Envelope N K * , Du M , Okamiya Y ,et al. Control System Development for Automation of Curve Sewing Operations and Experimental Verification [J].IFAC- PapersOnLine, 2022, 55( 27):31-36.

[3] A P R , A B B , B F B .Cognitive load estimation for adaptive human-machine system automation [J].Learning Control, 2021:35-58.

[4] Huang H , Yang L , Wang Y ,et al. Digital Twin-driven online anomaly detection for an automation system based on edge intelligence [J]. Manufacturing Systems, 2021, 59:138-150.

[5] Feder J .Implementation of an Intelligent Drilling Automation System in the Middle East[J].Journal of Petroleum Technology, 2021, 73(2):45-46.

[6] Suwarno S , Chin C .Implementation of Automation System to Control Machine Voltage of Electroplating Process [J].JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 2021, 4(2):404-413.

[7] Han J , Wang C , Miao J ,et al. Research on Electronic Document Management System Based on Cloud Computing [J].Computers, Materials and Continua, 2021. 66(3):2645-2654.

[8] Pan H , Yang X .Management Model on Electronic Commerce Data Based on Cloud Computing[J].Wireless Communications and Mobile Computing, 2021, 2021(8 ):1-10.

[9] Wang H , Du Z .Research on Application of Teaching Informatization Construction Based on Cloud Computing[J].International Journal for Innovation International Journal for Innovation Education and Research, 2021, 9(5):288-294.

[10] Jianbo W , Cao X .Factors Affecting the Evolution of Advanced Manufacturing Innovation Networks Based on Cloud Computing and Multiagent Simulation [J].Mathematical Problems in Engineering, 2021, 2021(1):1-12.

[11] Wang T , Liang Y , Tian Y ,et al. Solving Coupling Security Problem for Sustainable Sensor-Cloud Systems Based on Fog Computing[J].IEEE Transactions on Sustainable Computing, 2021, 6(1):43-53.

[12] Xu Z , Li J , Zhang M .A Surveillance Video Real-Time Analysis System Based on Edge-Cloud and FL-YOLO Cooperation in Coal Mine[J].IEEE Access, 2021, 9. 68482-68497.

[13] Zhang X .Prediction of fire risk based on cloud computing - ScienceDirect[J].Alexandria Engineering Journal, 2021, 60( 1):1537-1544.

[14] Guo Y , Guo Y .Intelligent Network Office System Based on Cloud Computing and Machine Learning [J].Mobile Information Systems, 2021, 2021:1-14.

[15] Zhang J , Yuan Q . Simulation of a trust access control method for cloud computing system[J] Computer Simulation,2022(5)472-475,486.