Time-series analytics for control valve health assessment

Abstract

Securing communications from a process plant to a remote system includes a data diode disposed there between that allows data to egress from the plant but prevents ingress of data into the plant and its associated systems. Process plant data from the secure communications is then analyzed to detect conditions occurring at process plant entities in the process plant using various machine learning techniques. When the process plant entity is a valve, the mode of operation for the valve is determined and a different analysis is applied for each mode in which a valve operates. Additionally, the process plant data for each valve is compared to other valves in the same process plant, enterprise, industry, etc. Accordingly, the health of each of the valves is ranked relative to each other and theprocess plant data for each valve is displayed in a side-by-side comparison.

Description

technical field [0001] The present disclosure relates generally to process plants and process control systems, and more particularly, to detecting the condition of equipment within a process plant by analyzing time series data. Background technique [0002] Distributed process control systems, such as those used in chemical, petroleum, or other process plants, typically include one or more process controllers connected via I / O cards or devices, analog, digital or a combined analog / digital bus or wireless communication link or network to communicatively couple to one or more field devices. Field devices, which can be, for example, valves, valve positioners, actuators, switches, and transmitters (e.g., temperature, pressure, level, and flow rate sensors) are located within the process environment and typically perform physical or process control functions such as Open or close valves, measure process parameters (such as pressure, temperature, etc.) to control one or more proc...

AI Technical Summary

Problems solved by technology

Cyber ​​intrusions and malicious cyber attacks on process plants, networks, and / or control systems may negatively impact the confidentiality, integrity, and / or availability of information assets, and these deficiencies are generally similar to those of general-purpose computing networks Defects

However, unlike general-purpose computer networks, cyber intrusions into process plants, networks, and / or control systems can also result in damage, destruction, and / or loss of not only plant equipment, products, and other physical assets, but loss of human life

For example, a cyber intrusion may allow a process to become uncontrolled, resulting in explosions, fires, floods, exposure to hazardous materials, etc.

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