Abstract
The response time for remote monitoring and control in real-time systems is a sensitive issue in device interconnection elements. Therefore, it is necessary to analyze the traffic of the communication system in pre-established time windows. In this paper, a methodology based on computational intelligence is proposed for identifying the availability of a data channel and the variables or characteristics that affect the performance and data transfer, which is made up of four stages: a) integration of a communication system with an acquisition module and a final control structure; b) communication channel characterization by means of traffic variables; and c) relevance analysis from the characterization space using SFFS (sequential forward oating selection); d) Channel congestion classification as Low or High using a classifier based on Naive Bayes algorithm. The experimental setup emulates a real process using an on/off remote control of a DC motor on an Ethernet network. The communication time between the client and server was integrated with the operation and control times, to study the whole response time. This proposed approach allows support decisions about channel availability, to establish predictions about the length of the time window when the availability conditions are unknown.
Highlights
Monitoring and remote-control systems are used in applications where access is limited or when the user is exposed to physical risk [1][2]; critical conditions embedded in a control system are managed or operated remotely [3]
Using the three most relevant features, x2, x6, x12 a classification accuracy result of 99.9% was achieved. This indicates a high degree of separability between classes, and as shown in Figure 5, the location of a 3-dimensional point in this characterization space can determine the availability of a communication channel for remote monitoring and control tasks in a real-time system
Different tests were performed, for validating the 2dimensional characterization space and determining a time threshold for control operations via web on the DC motor, a time of 20 ms was the maximum time delay for a successful control process via web associated with the congestion level of the communication channel
Summary
Monitoring and remote-control systems are used in applications where access is limited or when the user is exposed to physical risk (e.g., extreme temperatures, polluted air, chemical substances among others) [1][2]; critical conditions embedded in a control system are managed or operated remotely [3] These systems are supported by communication channels for data transfer where performance conditions become essential factors in remote monitoring system design for industrial control [4][5]. In this sense, statistical conditions of traffic and channel characteristics determine the minimum time required for a data flow throughout a network from its origin to its destination [6]. In data transfer solutions the response time for a control system is critical, it is necessary to analyze the traffic of the network to determine the restrictions and conditions of the Journal homepage: http://section.iaesonline.com/index.php/IJEEI/index
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