Hybrid Health-Aware Supervisory Control Framework with a Prognostic Decision-Making

2020 ◽  
pp. 3-16
Author(s):  
Jérôme Cieslak ◽  
David Gucik-Derigny ◽  
Jing Chang
Keyword(s):  
Decision Making ◽  
Supervisory Control ◽  
Control Framework

Human Supervisory Control Framework for Interactive Medical Image Segmentation

2012 ◽  
pp. 77-88
Author(s):  
Ivan Kolesov ◽  
Peter Karasev ◽  
Grant Muller ◽  
Karol Chudy ◽  
John Xerogeanes ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Supervisory Control ◽  
Medical Image ◽  
Medical Image Segmentation ◽  
Control Framework ◽  
Human Supervisory Control

scholarly journals Two Phase Separation using Liquid Level Control System using PLC and SCADA

2019 ◽  
Vol 9 (2) ◽  
pp. 2389-2391
Keyword(s):  
Supervisory Control ◽  
Programmable Logic ◽  
Level Control ◽  
Fluid Level ◽  
Two Phase ◽  
Two Fluids ◽  
Control Framework ◽  
Set Up ◽  
The Individual ◽  
Fluid Levels

Activity of the plant requires a great deal of work and human asset and requires a ton of diligent work and persistence as the individual needs to take note of every single an incentive at various occasions by taking readings physically. With the advancement of Industrial Automation, fluid level control framework has been generally utilized in different fields. In this paper, in light of PLC a control framework is set up by PID calculation and this control framework can alter two diverse fluid levels consequently. On the off chance that there are two distinct kinds of fluids with various densities in an equivalent tank and so as to isolate those two fluids, Level control framework dependent on SCADA and PLC is actualized. This framework satisfies splendidly the need of various fluid level control framework in industry, and it brings advantageous and exact for controlling. The proposed framework gives the fluid Level control, with the assistance of Programmable Logic Controllesr (PLCs), and Supervisory Control and Data Acquisition (SCADA).

scholarly journals Integrated Inventory Management Control Framework

2020 ◽  
pp. 147-157 ◽  
Author(s):  
H.R. Ganesh ◽  
P. S. Aithal ◽  
P. Kirubadevi
Keyword(s):  
Decision Making ◽  
Inventory Management ◽  
Performance Indicators ◽  
Management System ◽  
Management Control ◽  
Inventory Management System ◽  
Control Framework ◽  
Brick And Mortar ◽  
And Control ◽  
New Framework

The concept of minimum display quantity (MDQ) is unavoidable in brick-and-mortar retailing format owing to which, retailers need to ensure a minimum level of inventory displayed at each store irrespective of the revenue or inventory turns generated by a particular store. It is observed that majority of bricks-and-mortar retailers in India assume;(a) existing inventory management system is ideal to their store, (b) software solutions record accurate inventory movement, (c) involving store management team in inventory related decision making is risky/biased and most importantly (d) loss of sale due to stockouts is inevitable. Such assumptions and widely followed practice have created a predisposition and mindset in store managers and they believe that their store delivers revenue and profit to the best of its potential with the inventory which is made available to them through existing inventory management system and we cannot avoid a number of instances consumers are unsatisfied due to stockout situations. In this research, we have analysed the existing decision-making process and control systems related to inventory management of a select retailer, attempted to design a new framework and applied the same through an experiment to evaluate the change in (a) overall store profitability and (b) inventory related key performance indicators.

Supervisory Control and Distributed Optimization of Building Energy Systems

2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Zhanhong Jiang ◽  
Venkatesh Chinde ◽  
Adam Kohl ◽  
Atul G. Kelkar ◽  
Soumik Sarkar
Keyword(s):  
Air Temperature ◽  
Supervisory Control ◽  
Large Scale ◽  
Distributed Optimization ◽  
Pacific Northwest National Laboratory ◽  
Energy Systems ◽  
Building Energy ◽  
Practical Implementation ◽  
Control Framework ◽  
Building Energy Systems

Abstract Energy consumption in commercial buildings is significantly affected by the performance of heating, ventilation, and air-conditioning (HVAC) systems, which are traditionally operated using centralized controllers. HVAC control requires adjusting multiple setpoints such as chilled water temperatures and supply air temperature (SAT). Supervisory control framework in a distributed setting enables optimal HVAC operation and provides scalable solutions for optimizing energy across several scales from homes to regional areas. This paper proposes a distributed optimization framework for achieving energy efficiency in large-scale building energy systems. It is highly desirable to have building management systems that are scalable, robust, flexible, and are low cost. For addressing the scalability and flexibility, a modular problem formulation is established that decouples the distributed optimization level from local thermal zone modeling level. We leverage a recently developed generalized gossip algorithm for robust distributed optimization. The supervisory controller aims at minimizing the energy input considering occupant comfort. For validating the proposed scheme, a numerical case study based on a physical testbed in the Iowa Energy Center is presented. We show that the distributed optimization methodology outperforms the typical baseline strategy, which is a rule-based controller to set a constant supply air temperature. This paper also incorporates a software architecture based on the volttron platform, developed by the Pacific Northwest National Laboratory (PNNL), for practical implementation of the proposed framework via the BACnet system. The experimental results show that the supervisory control framework proposed in this paper can save energy by approximately 11%.

Hierarchical Hybrid Predictive Control of an Autonomous Road Vehicle

2015 ◽  
Author(s):  
Qian Wang ◽  
Thomas Weiskircher ◽  
Beshah Ayalew
Keyword(s):  
Decision Making ◽  
Predictive Control ◽  
Particle Motion ◽  
Vehicle Dynamics ◽  
Finite State Machine ◽  
Road Vehicle ◽  
Reduced Order ◽  
Control Framework ◽  
Finite State ◽  
Trajectory Guidance

This paper presents a hierarchical hybrid predictive control framework for an autonomously controlled road vehicle. At the top, an assigner module is designed as a finite state machine for decision-making. Based on the current information of the controlled vehicle and its environment (obstacles, and lane markings, etc), the assigner selects discrete maneuver states through pre-defined switching rules. The several maneuver states are related to different setups for the underlying model predictive trajectory guidance module. The guidance module uses a reduced-order curvilinear particle motion description of the controlled vehicle and obstacle objects as well as a corresponding description of the reference path, lane and traffic limits. The output of the guidance module interfaces with the lower level controller of the continuous vehicle dynamics. The performance of the proposed framework is demonstrated via simulations of highway-driving scenarios.

A Web-Based Android Supervisory Control System

2013 ◽  
Vol 284-287 ◽  
pp. 3211-3215 ◽  
Author(s):  
Shu Chu Tung ◽  
Wu Jeng Li ◽  
Shih Miao Huang
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Mobile Phone ◽  
Supervisory Control ◽  
Access Point ◽  
Web Based ◽  
Home Security ◽  
Control Framework ◽  
Computer Aided ◽  
Supervisory Control System

This paper designs a web-based Android supervisory control system. Android controller is used as a local controller to fit into a supervisory control framework. The framework includes a central server, a SMS device attached to the server, multiple local controllers, a remote control program and a ladder logic computer-aided design program. The Android controller contains an Android mobile phone, a Wi-Fi wireless access point, a switch hut (or NAT) and multiple data acquisition modules. The Android mobile phone enters TCP/IP LAN through the Wi-Fi access point. The data acquisition modules with TCP/IP interface are plugged into the LAN, and read/written by the Android mobile phone with Modbus TCP. The Android controller communicates with supervisory server with a specific m2m protocol which is based on http protocol. Once an Android controller is connected to the supervisory control framework, it can be monitored and controlled remotely with any browser. A web-based home security system is constructed to demonstrate the usage of the web-based Android supervisory control system. The control laws for the home security system are partially implemented with ladder logics designed with a computer-aided program in the framework. With a supervisory server serving multiple Android controllers, Cloud home security service is formed.

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