1
Abstract This project focuses on lighting control in greenhouse production to achieve optimal plant growth. The concept can be applied to other environmental variables such as temperature, humidity, and CO2. We propose a system comprised of an intelligent sensor network, distributed control nodes, and LED grow lights with the following characteristics: 1. To reduce the supplemental lighting energy consumption by optimizing LED grow-light intensity through advanced controls 2. To improve crop productivity by using the spectrum modification capabilities of LED technology to manipulate the light quality within a greenhouse environment. . Background System Design References 1. Massa GD, Kim HH, Wheeler RM & Mitchell CA. Plant productivity in response to LED lighting. HortScience. 2008;43:19511956. 2. Vänninen I, Pinto DM, Nissinen AI, Johansen NS & Shipp L. In the light of new greenhouse technologies: Plant- mediates effects of artificial lighting on arthropods and tritrophic interactions. Ann Appl Biol. 2010;157:393414. 3. Chen P. Chlorophyll and other photosentives. In: LED grow lights, absorption spectrum for plant photosensitive pigments. http://www.ledgrowlightshq.co.uk/chlorophyll-plant-pigments/.Accessed 12 March 2014. Acknowledgments This research has been supported by the Pacific Institute of Climate Solutions and the School of Mechatronic Systems Engineering at Simon Fraser University Intelligent Control Systems for Energy-efficient Lighting in Greenhouses Alex Jun Jiang (PhD Student), Mehrdad Moallem (Professor) School of Mechatronic Systems Engineering Hardware Set Up Data Insights Control Factors 1. Photoperiod Control Control the flowering period 2. Photomorphogenesis Control Control the seed germination, seedling development, and the switch time from vegetative to the flowering stage Affects disease resistance, taste, and nutritional levels The above can be achieved by customizing red and blue light ratio for making optimal light recipe for growing various crops 3. Illuminance Control Control supplemental light intensity in the presence of natural light for photosynthesis during the winter season or overcast days. Light Duration Energy saving at least 70% Crop yield all year around 365 days Increase the crop quality control precision 40% Reduce cultivation time 30% Light quality Light intensity Absorption spectrum in photosynthesis process of plant Mainly blue light and red light Cloud Server Light Fixtures Gateway Internet Ethernet Router Wireless Distributed lighting system with multiple LED-luminaries where each fixture is: Wireless enabled to exchange information with other luminaries and a local control unit Ambient light sensor to detect light level Continuous dimming capability Energy-efficient Lighting - Power Drives for HB LED Small capacitors for increased lifetime - Low-cost Single Stage Power Driver - Distributed lighting control with daylighting strategies LED Grow Light Control modules inside LED lights TI MCU User Interface Sensors (Temp, Humidity, CO2, quantum

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Page 1: System Design Control Factors - PICS

Abstract

This project focuses on lighting control in greenhouse production to achieve optimal

plant growth. The concept can be applied to other environmental variables such as

temperature, humidity, and CO2. We propose a system comprised of an intelligent

sensor network, distributed control nodes, and LED grow lights with the following

characteristics:

1. To reduce the supplemental lighting energy consumption by optimizing

LED grow-light intensity through advanced controls

2. To improve crop productivity by using the spectrum modification capabilities of

LED technology to manipulate the light quality within a greenhouse environment.

.Background

System Design

References1. Massa GD, Kim HH, Wheeler RM & Mitchell CA. Plant productivity in response to LED lighting. HortScience.

2008;43:1951–1956.

2. Vänninen I, Pinto DM, Nissinen AI, Johansen NS & Shipp L. In the light of new greenhouse technologies: Plant-

mediates effects of artificial lighting on arthropods and tritrophic interactions. Ann Appl Biol. 2010;157:393–414.

3. Chen P. Chlorophyll and other photosentives. In: LED grow lights, absorption spectrum for plant photosensitive

pigments. http://www.ledgrowlightshq.co.uk/chlorophyll-plant-pigments/.Accessed 12 March 2014.

Acknowledgments

This research has been supported by the Pacific Institute

of Climate Solutions and the School of Mechatronic

Systems Engineering at Simon Fraser University

Intelligent Control Systems for Energy-efficient Lighting in Greenhouses

Alex Jun Jiang (PhD Student), Mehrdad Moallem (Professor)

School of Mechatronic Systems Engineering

Hardware Set Up Data Insights

Control Factors

1. Photoperiod Control

Control the flowering period

2. Photomorphogenesis Control

Control the seed germination, seedling development,

and the switch time from vegetative to the flowering stage

Affects disease resistance, taste, and nutritional levels

The above can be achieved by customizing red and

blue light ratio for making optimal light recipe for growing

various crops

3. Illuminance Control

Control supplemental light intensity in the presence of

natural light for photosynthesis during the winter season or

overcast days.

Light Duration

Energy saving at

least

• 70%

Crop yield all year around

•365 days

Increase the crop quality control

precision

•40%

Reduce

cultivation time

•30%

Light quality

Light intensity

Absorption spectrum in

photosynthesis process of

plant

Mainly blue light and red light

Cloud Server

Light Fixtures

Gateway

Internet

Ethernet

Router

Wireless

Distributed lighting system with

multiple LED-luminaries where

each fixture is:

•Wireless enabled to exchange

information with other luminaries

and a local control unit

•Ambient light sensor to detect

light level

•Continuous dimming capability

Energy-efficient Lighting

- Power Drives for HB LED

Small capacitors for increased

lifetime

- Low-cost Single Stage Power

Driver

- Distributed lighting control with

daylighting strategies

LED Grow Light

Control modules inside LED lights

TI MCU

User Interface

Sensors (Temp,

Humidity, CO2,

quantum