scholarly journals Method for Compressing Recorded Data in Electric Vehicle Charge-Station Monitoring System

Smart Grid ◽  
2012 ◽  
Vol 02 (04) ◽  
pp. 88-92
Author(s):  
永相 刘
Keyword(s):  
Electric Vehicle ◽  
Monitoring System ◽  
Recorded Data

Android-Based Monitoring System for Electric Vehicle with Notification Services (AMOSEVENS)

2018 ◽  
Author(s):  
Jhea Puebla ◽  
Zack Art Montero ◽  
Nel Panaligan ◽  
Noel Sobejana
Keyword(s):  
Electric Vehicle ◽  
Monitoring System

scholarly journals Reliability of a wearable wireless patch for continuous remote monitoring of vital signs in patients recovering from major surgery: a clinical validation study from the TRaCINg trial

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e031150 ◽  
Author(s):  
Candice Downey ◽  
Shu Ng ◽  
David Jayne ◽  
David Wong
Keyword(s):  
Monitoring System ◽  
Vital Sign ◽  
Vital Signs ◽  
University Hospital ◽  
Secondary Outcome ◽  
Major Surgery ◽  
Limits Of Agreement ◽  
Temperature Bias ◽  
Vital Signs Monitoring ◽  
Recorded Data

ObjectiveTo validate whether a wearable remote vital signs monitor could accurately measure heart rate (HR), respiratory rate (RR) and temperature in a postsurgical patient population at high risk of complications.DesignManually recorded vital signs data were paired with vital signs data derived from the remote monitor set in patients participating in the Trial of Remote versus Continuous INtermittent monitoring (TRaCINg) study: a trial of continuous remote vital signs monitoring.SettingSt James’s University Hospital, UK.Participants51 patients who had undergone major elective general surgery.InterventionsThe intervention was the SensiumVitals monitoring system. This is a wireless patch worn on the patient’s chest that measures HR, RR and temperature continuously. The reference standard was nurse-measured manually recorded vital signs.Primary and secondary outcome measuresThe primary outcomes were the 95% limits of agreement between manually recorded and wearable patch vital sign recordings of HR, RR and temperature. The secondary outcomes were the percentage completeness of vital sign patch data for each vital sign.Results1135 nurse observations were available for analysis. There was no clinically meaningful bias in HR (1.85 bpm), but precision was poor (95% limits of agreement −23.92 to 20.22 bpm). Agreement was poor for RR (bias 2.93 breaths per minute, 95% limits of agreement −8.19 to 14.05 breaths per minute) and temperature (bias 0.82°C, 95% limits of agreement −1.13°C to 2.78°C). Vital sign patch data completeness was 72.8% for temperature, 59.2% for HR and 34.1% for RR. Distributions of RR in manually recorded measurements were clinically implausible.ConclusionsThe continuous monitoring system did not reliably provide HR consistent with nurse measurements. The accuracy of RR and temperature was outside of acceptable limits. Limitations of the system could potentially be overcome through better signal processing. While acknowledging the time pressures placed on nursing staff, inaccuracies in the manually recorded data present an opportunity to increase awareness about the importance of manual observations, particularly with regard to methods of manual HR and RR measurements.

Development of Electric Vehicle Remote Monitoring System's Server and Client Application

2014 ◽  
Vol 535 ◽  
pp. 26-31
Author(s):  
Zhi Zhong Li ◽  
Shi Chun Yang ◽  
Zi Tao Liu
Keyword(s):  
Electric Vehicle ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Sql Server ◽  
Client Application ◽  
Electric Cars ◽  
Remote Monitoring System ◽  
Sql Server Database ◽  
Database Language ◽  
Client Needs

This paper analyzed the practical needs of remote monitoring of electric vehicle and illustrates the overall architecture of a remote monitoring system, and further developed a remote monitoring system of the Server and client application with the ASP.NET and Microsoft SQL Server database language, basically can meet the electric cars remote monitoring of the Server and client needs.

Study on Operation Monitoring System Used by Battery Electric Vehicle

2011 ◽  
Vol 148-149 ◽  
pp. 697-702
Author(s):  
Li Hua Tang ◽  
Tie Jun Gao
Keyword(s):  
Electric Vehicle ◽  
Monitoring System ◽  
Interface Design ◽  
Battery Electric Vehicle ◽  
Gis Technology ◽  
Intelligent Monitoring ◽  
Software Interface ◽  
Electric Bus ◽  
Vehicle Operation ◽  
Communication Module

According to the management need of Battery Electric Vehicle, compose built to be based on GPS+GPRS Battery Electric Vehicle intelligent monitoring system. The system includes communication module, GPS+GPRS intelligent monitoring system software and monitoring vehicle. Based on the operation characteristics of pure electric vehicles and electric vehicle battery in performance analysis, put forward the pure electric bus operation monitoring system design, and through the Web Service technology combined with VB.NET, MapInfo, Mapx and Iocomp controls with GIS technology to achieve the monitoring software interface design, and the collection of data for real-time monitoring, for the development of Battery Electric Vehicle operation system to provide strong technical support.

Research on Data Monitoring System of Hybrid Electric Vehicle

2011 ◽  
Vol 9 (5) ◽  
pp. 2012-2016 ◽  
Author(s):  
Jing Lian ◽  
Yafu Zhou ◽  
Teng Ma ◽  
Xiaoyong Shen ◽  
Jun Li
Keyword(s):  
Electric Vehicle ◽  
Monitoring System ◽  
Hybrid Electric Vehicle ◽  
Data Monitoring ◽  
Hybrid Electric
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