Transportable Automated HRMS Platform Enables Insights into Water Quality Dynamics in Real Time

2020 ◽  
Author(s):  
Michael Stravs ◽  
Christian Stamm ◽  
Christoph Ort ◽  
Heinz Singer
Keyword(s):  
Real Time ◽  
Illicit Drugs ◽  
High Resolution Mass Spectrometry ◽  
High Temporal Resolution ◽  
Enabling Technology ◽  
Real Time Control ◽  
Concentration Data ◽  
Time Control ◽  
Data Points ◽  
Raw Wastewater

Tracking the occurrence of a plethora of chemicals in the aquatic environment at high temporal resolution over extended periods is a huge challenge. Here, we present a transportable high-resolution mass spectrometry platform including a fully automated workflow for advanced data processing. It measured several thousand concentration data points at 20-min intervals over several weeks, providing unprecedented insights into pollution dynamics, e.g. acute pesticide toxicity peaks in a small creek, intra-day variation of illicit drugs in raw wastewater and identifying contamination clusters of unknowns. This enabling technology has potential for researching and managing chemicals in natural and technical environments beyond current possibilities, e.g. real-time control in process engineering and sewer operation (water management and environmental toxicology), industrial surveillance (law enforcement) and wastewater-based epidemiology (public health).

Transportable Automated HRMS Platform Enables Insights into Water Quality Dynamics in Real Time

2020 ◽  
Author(s):  
Michael Stravs ◽  
Christian Stamm ◽  
Christoph Ort ◽  
Heinz Singer
Keyword(s):  
Real Time ◽  
Illicit Drugs ◽  
High Resolution Mass Spectrometry ◽  
High Temporal Resolution ◽  
Enabling Technology ◽  
Real Time Control ◽  
Concentration Data ◽  
Time Control ◽  
Data Points ◽  
Raw Wastewater

Tracking the occurrence of a plethora of chemicals in the aquatic environment at high temporal resolution over extended periods is a huge challenge. Here, we present a transportable high-resolution mass spectrometry platform including a fully automated workflow for advanced data processing. It measured several thousand concentration data points at 20-min intervals over several weeks, providing unprecedented insights into pollution dynamics, e.g. acute pesticide toxicity peaks in a small creek, intra-day variation of illicit drugs in raw wastewater and identifying contamination clusters of unknowns. This enabling technology has potential for researching and managing chemicals in natural and technical environments beyond current possibilities, e.g. real-time control in process engineering and sewer operation (water management and environmental toxicology), industrial surveillance (law enforcement) and wastewater-based epidemiology (public health).

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

Real-time Control for Mobile Robot Considering Environmental Changes

2007 ◽  
Vol 73 (12) ◽  
pp. 1369-1374
Author(s):  
Hiromi SATO ◽  
Yuichiro MORIKUNI ◽  
Kiyotaka KATO
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Environmental Changes ◽  
Real Time Control ◽  
Time Control

Using graphs to construct a math model of a microcontroller-based system for preset rate control of a flywheel motor to be used in high-dynamics spacecraft

2020 ◽  
pp. 126-134
Author(s):  
Vladimir V. NEKRASOV
Keyword(s):  
Real Time ◽  
Rotation Rate ◽  
Control Function ◽  
Real Time Control ◽  
Math Model ◽  
The Real ◽  
Time Control ◽  
Power Matrix ◽  
High Dynamics ◽  
Stated Problem

Developing a microcontroller-based system for controlling the flywheel motor of high-dynamics spacecraft using Russian-made parts and components made it possible to make statement of the problem of searching control function for a preset rotation rate of the flywheel rotor. This paper discusses one of the possible options for mathematical study of the stated problem, namely, application of structural analysis based on graph theory. Within the framework of the stated problem a graph was constructed for generating the new required rate, while in order to consider the stochastic case option the incidence and adjacency matrices were constructed. The stated problem was solved using a power matrix which transforms a set of contiguous matrices of the graph of admissible solution edge sequences, the real-time control function was found. Based on the results of this work, operational trials were run for the developed control function of the flywheel motor rotor rotation rate, a math model was constructed for the real-time control function, and conclusions were drawn about the feasibility of implementing the results of this study. Key words: Control function, graph, incidence matrix, adjacency matrix, power matrix, microcontroller control of the flywheel motor, highly dynamic spacecraft.

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