An Intelligent Security Defensive Model of SCADA Based on Multi-Agent in Oil and Gas Fields

2019 ◽  
Vol 34 (01) ◽  
pp. 2059003
Author(s):  
Li Yang ◽  
Junlin Liu ◽  
Yun Zhang
Keyword(s):  
Large Scale ◽  
Oil And Gas ◽  
Detection Efficiency ◽  
Agent Technology ◽  
Prototype System ◽  
Scada System ◽  
Accurate Detection ◽  
Multi Agent ◽  
Defense Model ◽  
Intelligent Security

Supervisory Control and Data Acquisition (SCADA) system in the modern industrial automation control network is facing an increasing number of serious security threats. In order to meet the security defense requirements of oil and gas SCADA system, an intelligent security defense model based on multi-agent was designed by analyzing the security risks in oil and gas SCADA system and combining the advantages of multi-agent technology in distributed intrusion detection system. First, the whole structure of this model was divided into three layers: monitoring layer, decision layer and control layer. Then, the defense model was verified by C4.5 decision tree algorithm, and obtained a good result. Finally, the security defense prototype system of large-scale oil and gas SCADA system based on this model was realized. Results demonstrate that the application of multi-agent technology in the security defense of oil and gas SCADA system can achieve more comprehensive defense, more accurate detection, which can handle large-scale distributed attacks and improve the robustness and stability of security defenses. This study makes full use of the multi-agent architecture and has the advantage of accurate detection, high detection efficiency and timely response.

An E2GPGP-GASA-Based Multi-Agent Job Shop Scheduling System

2012 ◽  
Vol 505 ◽  
pp. 65-74
Author(s):  
Lin Lin Lu ◽  
Xin Ma ◽  
Ya Xuan Wang
Keyword(s):  
Large Scale ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Simulation Software ◽  
Prototype System ◽  
Shop Scheduling ◽  
Model Combining ◽  
Proposed Model ◽  
Multi Agent ◽  
Global Planning

In this paper, a job shop scheduling model combining MAS (Multi-Agent System) with GASA (Simulated Annealing-Genetic Algorithm) is presented. The proposed model is based on the E2GPGP (extended extended generalized partial global planning) mechanism and utilizes the advantages of static intelligence algorithms with dynamic MAS. A scheduling process from ‘initialized macro-scheduling’ to ‘repeated micro-scheduling’ is designed for large-scale complex problems to enable to implement an effective and widely applicable prototype system for the job shop scheduling problem (JSSP). Under a set of theoretic strategies in the GPGP which is summarized in detail, E2GPGP is also proposed further. The GPGP-cooperation-mechanism is simulated by using simulation software DECAF for the JSSP. The results show that the proposed model based on the E2GPGP-GASA not only improves the effectiveness, but also reduces the resource cost.

scholarly journals Development of a collaborative material management system for offshore platform projects using agent technology

2017 ◽  
Vol 9 (2) ◽  
pp. 168781401769143 ◽  
Author(s):  
Duanfeng Han ◽  
Qinghua Zhou ◽  
Jinghua Li ◽  
Jiaxuan Wang ◽  
Boxin Yang ◽  
...  
Keyword(s):  
Management System ◽  
Offshore Platform ◽  
Agent Technology ◽  
Prototype System ◽  
Offshore Platforms ◽  
Material Management ◽  
Information Unit ◽  
Multi Agent ◽  
Material Information ◽  
Material Management System

Accuracy management of production materials plays an important role in offshore platform projects. To improve both the efficiency and accuracy of material management in offshore platform projects, a novel material management system characterized by the notion of a material information unit was proposed in light of a review of the industrial Internet of Things and multi-agent technology. The material information unit is used to carry data on production materials and serve as a basic information unit in the system. Furthermore, agents of different functions are employed to tackle assorted tasks. Using this system, material information can be precisely recorded, tracked, and traced during the manufacture of offshore platforms. In addition to this system, an algorithm targeting at multi-agent negotiation is designed. Finally, a prototype system is developed to verify the feasibility and efficiency of this material management process.

scholarly journals Effectiveness of multi-agent technology in three-day campaign for early diagnosis of cutaneous melanoma

2021 ◽  
Vol 9 (3) ◽  
pp. 433-446
Author(s):  
E.Yu. Neretin ◽  
◽  
S.Kh. Sadreyeva ◽  
◽  
Keyword(s):  
Early Diagnosis ◽  
Cutaneous Melanoma ◽  
Large Scale ◽  
Early Stage ◽  
Good Prognosis ◽  
Agent Technology ◽  
Correct Treatment ◽  
Scale Population ◽  
Multi Agent ◽  
Epidemiological Situation

BACKGROUND: Melanoma — is a tumor that in most cases affects the skin and is characterized by an extremely aggressive course and a steadily increasing morbidity in the world. However, diagnosed at an early stage, cutaneous melanoma (CM) has a good prognosis with correct treatment. The results of the diagnosis of CM can be improved by joint the efforts of dermatologists and artificial intelligence (AI). AIM: Cutaneous melanoma is a tumor with an unpredictable course. The article discusses ways to solve the problem of early diagnosis using multi-agent technology and an expert system based on AI. MATERIALS AND METHODS: In a large industrial city with more than three million population, a three-day campaign for the early diagnostics of cutaneous melanoma was carried out, which revealed 4 cases of CM (4.35%) at pT1a stage in 96 patients registered in 2019. A total of 800 people were examined. RESULTS: As a result of diagnostics, the following data were obtained: specificity of self-diagnostics of the region was 6.78% by the inhabitants, 78.89% by dermatologists, and 95.24% by expert oncologists. In prospective quality control of diagnostics within 6 months, such parameters as the sensitivity of diagnosing cutaneous melanoma by oncologists and dermatologists were both 100%. As a result of the study, it was found that the multi-agent technology is necessary to improve the results of CM diagnostics, and also for a more complete assessment of the onco-epidemiological situation, and for forecasting of the necessary resources in the region. CONCLUSIONS: The multi-agent technology can improve diagnostic results, but for a more complete assessment of the onco-epidemiological situation, a large-scale population screening in the region is required.

Power System Based on Multi-Agent Technology

2013 ◽  
Vol 273 ◽  
pp. 276-279
Author(s):  
Xiao Zhou Fan
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Open System ◽  
Large Scale ◽  
Distributed Artificial Intelligence ◽  
Computer Networking ◽  
Agent Technology ◽  
Large Power ◽  
Complex Problems ◽  
Multi Agent

Multi-agent technology combines the technology of computer, networking and distributed artificial intelligence together which is good at solving complex problems about large-scale distributed and open system. Multi-agent technology provides new ways for power system studies. This paper aims at finding a way to rationally use the multi-agent technology to solve complex problems due to improper protection or slow even wrong actions in the large power system.

Research and Application of Mobile Agent in E-Commerce System

2014 ◽  
Vol 519-520 ◽  
pp. 458-461 ◽  
Author(s):  
Lei Che ◽  
Xiao Ping Yang
Keyword(s):  
Mobile Agent ◽  
Agent Technology ◽  
Prototype System ◽  
Object Model ◽  
Multi Agent System ◽  
Combine Result ◽  
Key Technologies ◽  
Process Collaboration ◽  
Multi Agent ◽  
The Common

Mobile Agent (MA) is the combine result of Agent technology and distributed technology. MA can move according to the hope of user; MA can take action independently according to the change of environment; MA can return the result after finishing the task. On the basis of analysis of the problems of traditional e-commerce, the design thought of E-Commerce based on MA is proposed. Combining the characteristics, object model, message mechanism and the common software package of IBM Aglet platform, the design framework of E-Commerce based on MA is put forward, the design aims, architecture, and concrete process, collaboration message between Multi-Agent, system safety program are confirmed. At last, the validity of the study is proved by the prototype system, and the key technologies in the implementation are discussed.

Financial and Economic Support of Innovation Processes in the Russian Fuel and Energy Complex

2019 ◽  
Vol 12 (3) ◽  
pp. 77-85
Author(s):  
L. D. Kapranova ◽  
T. V. Pogodina
Keyword(s):  
Oil Recovery ◽  
Large Scale ◽  
Oil And Gas ◽  
New Technologies ◽  
Innovative Development ◽  
Oil Reserves ◽  
Energy Complex ◽  
Innovation Activities ◽  
Substantial Investment ◽  
The Government

The subject of the research is the current state of the fuel and energy complex (FEC) that ensures generation of a significant part of the budget and the innovative development of the economy.The purpose of the research was to establish priority directions for the development of the FEC sectors based on a comprehensive analysis of their innovative and investment activities. The dynamics of investment in the fuel and energy sector are considered. It is noted that large-scale modernization of the fuel and energy complex requires substantial investment and support from the government. The results of the government programs of corporate innovative development are analyzed. The results of the research identified innovative development priorities in the power, oil, gas and coal sectors of the fuel and energy complex. The most promising areas of innovative development in the oil and gas sector are the technologies of enhanced oil recovery; the development of hard-to-recover oil reserves; the production of liquefied natural gas and its transportation. In the power sector, the prospective areas are activities aimed at improving the performance reliability of the national energy systems and the introduction of digital technologies. Based on the research findings, it is concluded that the innovation activities in the fuel and energy complex primarily include the development of new technologies, modernization of the FEC technical base; adoption of state-of-the-art methods of coal mining and oil recovery; creating favorable economic conditions for industrial extraction of hard-to-recover reserves; transition to carbon-free fuel sources and energy carriers that can reduce energy consumption and cost as well as reducing the negative FEC impact on the environment.

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