Automatic control model of water filling system with Allen Bradley Micrologix 1400 PLC

Harahap, Raja; Adyatma, AF; Fahmi, Fahmi

doi:10.1088/1757-899x/309/1/012082

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…Tetapi, IoT memiliki kelemahan, yaitu rawan terkena malware dan ransomware. Selain itu, terdapat pula penelitian mengenai sistem pengisian cairan otomatis berbasis PLC (Programmable Logic Controllers) [3], mekanisme pengisian cairan otomatis menggunakan PLC Delta [4], dan model kontrol otomatis sistem pengisian air dengan Allen Bradley Micrologix 1400 PLC [5]. Hanya saja, pada penelitian-penelitian tersebut belum menggunakan pemantauan secara jarak jauh.…”

Section: Pendahuluanunclassified

Implementasi PLC-VSD dan SCADA pada Sistem Pengisian Air Otomatis

Siregar,

Nabihah,

Sherina

et al. 2022

Electrices

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Faktor kelalaian manusia dalam mematikan pompa air jika bak penampung sudah penuh dapat mengakibatkan kerugian dari segi ekonomi. Untuk meminimalisir kondisi tersebut, diperlukan sistem pengendalian pengisian air otomatis. Pada aritkel ini, peneliti mengimplementasikan kontrol otomatis pengisian air dengan PLC-VSD dan SCADA. PLC digunakan sebagai kontroler yang memberikan sinyal kepada VSD untuk mengatur kecepatan motor, membaca parameter motor, mengatasi gangguan pada motor, dan mengatur bukaan valve berdasarkan pembacaan float level sensor Sedangkan SCADA digunakan untuk akusisi data dan memantau proses pengisian air. Berdasarkan hasil pengujian, implementasi PLC-VSD dan SCADA pada sistem pengisian air otomatis bekerja sesuai deskripsi kerja. Rata-rata kecepatan motor dan debit air adalah 2853,8 rpm dan 48,1 L/menit pada kecepatan 3, 2525 rpm dan 38,5 L/menit pada kecepatan 2, dan 1806 rpm dan 10,6 L/menit pada kecepatan 1.

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Section: Pendahuluanunclassified

Implementasi PLC-VSD dan SCADA pada Sistem Pengisian Air Otomatis

Siregar,

Nabihah,

Sherina

et al. 2022

Electrices

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“…These technologies have greatly improved productivity and have expanded creativity in the use of industrial control systems (ICS) [2][3][4], but these benefits also bring additional network security risks. For example, there have been a number of security vulnerabilities associated with the MicroLogix 1400 series programmable logic controller (PLC) developed by Rockwell Automation [5], resulting in denial of service attacks, equipment configuration tampering, and other security breaches. In another cybersecurity incident, the website of the Ministry of Energy and Industry of Ukraine was attacked by hackers [6], encrypting the files on the host and causing the website to become inaccessible.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Mining Method for the Modbus TCP Using an Anti-Sample Fuzzer

Lai

Gao

Liu

2020

Sensors

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Vulnerability mining technology is used for protecting the security of industrial control systems and their network protocols. Traditionally, vulnerability mining methods have the shortcomings of poor vulnerability mining ability and low reception rate. In this study, a test case generation model for vulnerability mining of the Modbus TCP based on an anti-sample algorithm is proposed. Firstly, a recurrent neural network is trained to learn the semantics of the protocol data unit. The softmax function is used to express the probability distribution of data values. Next, the random variable threshold and the maximum probability are compared in the algorithm to determine whether to replace the current data value with the minimum probability data value. Finally, the Modbus application protocol (MBAP) header is completed according to the protocol specification. Experiments using the anti-sample fuzzer show that it not only improves the reception rate of test cases and the ability to exploit vulnerabilities, but also detects vulnerabilities of industrial control protocols more quickly.

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