Daylight-adaptive lighting control using light sensor calibration prior-information

2014 ◽  
Vol 73 ◽  
pp. 105-114 ◽  
Author(s):  
David Caicedo ◽  
Ashish Pandharipande ◽  
Frans M.J. Willems
Keyword(s):  
Prior Information ◽  
Sensor Calibration ◽  
Lighting Control ◽  
Light Sensor

A Cost-Effective Illuminance Sensor for DaylightHarvesting Lighting Control Systems

2020 ◽  
pp. 103-110
Author(s):  
Moutusi Bag ◽  
Saswati Mazumdar ◽  
Kalyan Kumar Ray
Keyword(s):  
Spectral Characteristic ◽  
Control Systems ◽  
Dynamic Performance ◽  
Cadmium Sulphide ◽  
Cost Effective ◽  
Performance Characteristics ◽  
Sensor Calibration ◽  
Lighting Control ◽  
Human Eye ◽  
Daylight Harvesting

A cost-effective two-wire industrial standard illuminance sensor (4–20) mA has been proposed. It can be used for daylight harvesting control of indoor illuminance and other applications. The basic sensor used is a cadmium sulphide (CdS) light dependent resistor, whose relative spectral characteristic almost corresponds to the human eye. The method of sensor calibration has been presented and static and dynamic performance characteristics of the sensor have been experimentally determined.

scholarly journals Sensor-driven, human-in-the-loop lighting control

2017 ◽  
Vol 50 (5) ◽  
pp. 660-680 ◽  
Author(s):  
F Tan ◽  
D Caicedo ◽  
A Pandharipande ◽  
M Zuniga
Keyword(s):  
Control System ◽  
Visible Light ◽  
Visible Light Communication ◽  
User Preferences ◽  
Sensor Data ◽  
Test Bed ◽  
Lighting Control ◽  
Human In The Loop ◽  
Light Sensor ◽  
Lighting Systems

Smart indoor lighting systems use occupancy and light sensor data to adapt artificial lighting in accordance with changing occupancy and daylight conditions. Such systems can be designed to reduce lighting energy consumption significantly. However, these systems cannot account for individual user preferences at the workplace in real time. We propose a sensor-driven, human-in-the-loop lighting system that incorporates user feedback in addition to occupancy and light sensor inputs. In this system, luminaires transmit unique visible light communication identifier signals. By processing the image captured by a smartphone camera, a user obtains two pieces of information: visible light communication identifiers of luminaires in the vicinity and average image pixel value. A control algorithm is designed that incorporates these user inputs along with occupancy and light sensor inputs to determine the dimming levels of the luminaires to achieve illumination levels acceptable to users. We compare the performance of the proposed lighting control system with a sensor-driven lighting control system in an office test bed.

Calibration of Line Structured Light Sensor for Robotic Inspection System

2010 ◽  
Vol 44-47 ◽  
pp. 702-706
Author(s):  
Xiang Wu ◽  
Ai Guo Li ◽  
De Feng Wu ◽  
Zi Ma
Keyword(s):  
Structured Light ◽  
Concentric Circle ◽  
Three Dimensions ◽  
Sensor Calibration ◽  
Inspection System ◽  
Light Sensor ◽  
Effective Manner ◽  
Green Manufacture ◽  
Set Up ◽  
Calibration Approach

With the development of the green manufacture, a robotic inspection system is presented to meet the requirement of remanufacturing engineering. It solves the problem of acquiring the information of the three dimensions (3D) shape feature in a timely and effective manner. As to set up this system efficiently, a calibration approach of the main part of the system, the line structured light sensor, based on a six degree of freedom (6-DOF) robot is proposed. This approach takes the advantage of the flexibility of the robot for simplifying the traditional sensor calibration approach and generates the calibration control points with concentric circle to refine the precision of locating its center. The actual experiment demonstrates that this approach is suitable for field calibration with conveniences and good accuracy.

scholarly journals Intelligent Lighting Control System for Energy Savings in Office Building

2018 ◽  
Vol 11 (1) ◽  
pp. 195 ◽  
Author(s):  
Khairul Rijal Wagiman ◽  
Mohd Noor Abdullah
Keyword(s):  
Control System ◽  
Objective Function ◽  
Sensor Data ◽  
Industrial Training ◽  
Lighting Control ◽  
Light Sensor ◽  
Sensor Field ◽  
Artificial Neural Network Ann ◽  
Save Energy ◽  
Technology Institute

Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function of the controller. Moreover, the light sensor field of view is also taken into consideration in objective function formulation. The proposed ANN controller has been tested on an actual office room of the Department of Mechanical Technology, Institute of Industrial Training, Selandar, Melaka, Malaysia. The simulation has been carried out using DIALux simulation lighting software. Based on the results, the proposed controller showed great performance in terms of adaptive less light sensor data and achieving dimming levels target that complies the European Standard EN12464-1. Furthermore, it can save energy up to 34%.<em><span style="font-size: 10.0pt; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function of the controller. Moreover, the light sensor field of view is also taken into consideration in objective function formulation. The proposed ANN controller has been tested on an actual office room of the Department of Mechanical Technology, Institute of Industrial Training, Selandar, Melaka, Malaysia. The simulation has been carried out using DIALux simulation lighting software. Based on the results, the proposed controller showed great performance in terms of adaptive less light sensor data and achieving dimming levels target that complies the European Standard EN12464-1. Furthermore, it can save energy up to 34%.</span></em>

An Image Reconstruction System Applied to High Voltage Microscopy

1975 ◽  
Vol 33 ◽  
pp. 292-293
Author(s):  
D. E. Johnson
Keyword(s):  
High Voltage ◽  
Prior Information ◽  
Block Diagram ◽  
Three Dimensional ◽  
Real Space ◽  
Two Dimensional ◽  
Efficient Manner ◽  
Fourier Methods ◽  
Tilt Series ◽  
Methods Of Reconstruction

Increased specimen penetration; the principle advantage of high voltage microscopy, is accompanied by an increased need to utilize information on three dimensional specimen structure available in the form of two dimensional projections (i.e. micrographs). We are engaged in a program to develop methods which allow the maximum use of information contained in a through tilt series of micrographs to determine three dimensional speciman structure.In general, we are dealing with structures lacking in symmetry and with projections available from only a limited span of angles (±60°). For these reasons, we must make maximum use of any prior information available about the specimen. To do this in the most efficient manner, we have concentrated on iterative, real space methods rather than Fourier methods of reconstruction. The particular iterative algorithm we have developed is given in detail in ref. 3. A block diagram of the complete reconstruction system is shown in fig. 1.

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