Claims:The scope of the invention is defined by the following claims:

Claim:
1. An Intelligent IOT Network Architecture for indoor plantation comprising the following steps:
a) An architecture has been constructed by interconnecting multiple sensor devices, Central Database Server, Intelligent system, Actuator Control Unit and Actuators over the internet for automatic cultivation of ornament plants inside smart homes.
b) A set of sensor devices are interconnected over intranet to collect the data of cultivation environment and communicate with Central Database Server connected with internet Cloud
c) An intelligent system equipped with machine learning algorithms will read the sensors data from Central Database Server and analyzes it by applying suitable machine learning algorithm to generate necessary instructions to the actuator control unit
2. As mentioned in claim 1, wherein the actuator control unit is connected with various actuators and control the indoor cultivation environment based on the instructions from intelligent system for maintain the cultivation environment of plants for its self-sustainability and optimum yield.
3. According to claim 1, wherein the Intelligent System, Central Database Server and Actuator Control unit are interconnected over internet whereas the sensor devices and actuators are connected over intranet of the indoor or smart home. , Description:Field of Invention
In the advent of wireless technologies, services in homes are becoming smart and inevitable. In smart home, technology must enable interaction between home owners or users and appliances. The importance of Internet of Things (IOT) services for smart homes and smart enterprises is expected to increase in the coming years. The IOT technology connects all kind of objects in the world to the internet including home devices and appliances. The introduction of smart homes has been proposed to improve the quality of life of residents when they are not at home. At present, smart homes are focused on energy efficiency and becoming intelligent.
Background of the invention
The cultivation of ornamental plants at indoor does include aesthetic value and also air purification, stress amelioration, or promotion of creativity. These kinds of indoor plants require network architectures or apps to assist them for creation of sustainable environment for healthy living. Plants in a smart house require optimum environment factors such as humidity, light etc. to grow properly. The environmental factor light intensity greatly influences the growth of a plant. Different indoor plants demand various light intensity ranges for their optimum growth and development. The ornamental plants demand low to medium light intensities for their growth. The light requirements of indoor plants can be controlled by maintain a network of sensors that create smart plant cultivation environment. The plants are classified as low-light plants, medium-light plants, high-light plants, and very high-light plants based on their light intensity requirements. The light conditions of indoor not only limit the plant growth but also affect the air purification capability. The light intensity in indoor can be controlled by chlorophyll fluorescence analysis and it’s becoming very important in plant biology. Humidity of indoor also affects the growth and air purification capabilities of plants. So, the network of sensors needs to be connected effectively to maintain the required light intensity and humidity for the plants to accomplish aesthetic value and improved air quality in indoor. The data collection from plants at various time stamps is most important and this database of plants response may be used to increase the cultivation environment. These kinds of IOT networks can be used to maintain optimum plant growth in smart homes.
Internet of Things (IOT) technology has increasingly implemented the depth of modern agriculture. Researchers have developed hydroponic systems which automate plant cultivation using Bayesian Network (BN) techniques. These networks control the light intensity, soil acidity, water level and humidity with respect to its predefined threshold values to increase the productivity. An invention IOT based intelligent greenhouse demonstration measurement and control system presented in [CN201110117123XA] that comprises of field control station networks, embedded gateways and a central server wherein, the embedded gateway establishes communication between the central server and the field control station networks. An invention in [US11102560B2] discloses architectures and apparatus methods to provide enhanced ultra-high data rate services over IOT based data servers. Infiltration Detection and Network Rerouting [US20170289191A1] invention discloses network devices, and computer-program products to detect infiltration of an endpoint, and reroute network traffic to and from the endpoint when infiltration is detected. The invention in [CN104866970B] discloses intelligent cultivate administration method and also a planting equipment for multiple panting process under varying environment. The innovation in [CN105897901B] discloses intelligent artificial light monitoring system based on Internet of Things and characterized in remotely controlled and local network. Invention [US10838383B2] discloses techniques control one or more IOT devices connected in road way structure for performing various tasks. The invention in [CN103064289B] provides a multiple-target operation optimizing and coordinating control method and a device of a garbage power generator. The device comprises a data collecting module, a data filtering module, a database module, a data modeling module, an optimizing module, a forecasting module, a remote monitoring module, a monitor, an alarming module and a manual alarming module.
The objective of this invention is to develop an IOT network architecture that connects all types of home appliances including indoor plants to the internet and make them intelligent enough to establish conversation among them and become self-sustainable.
Summary of the invention
The objective of this invention is to develop an IOT network that connects all types of home appliances including indoor plants to the internet and make them intelligent enough to establish conversation among them and become self-sustain.
Brief description of Drawing
In the figures which are illustrate exemplary embodiments of the invention.
Figure 1 Block diagram of Intelligent System – Describes the interfacing of sensor and actuators to intelligent system.
Figure 2 Intelligent IOT Network Architecture – Describes the IOT network architecture that interconnect various sensor and actuators to intelligent systems
Figure 3 CAD Design of the cultivation environmental setup for indoor plantation – Demonstrates the necessary environmental setup for cultivation of plants in smart homes.
Detailed description of the invention
Implementation of Intelligent IOT network for interconnecting various sensors in indoor and developing its architecture have been carried out in a micro farm of 1000 square feet area. These sensors generate data high in volume due to periodic sensor readings. The proposed system can interconnect various sensors and also establish communication between them for sharing the information based on their data availability. The IOT network also connected with intelligent system that analyze the data collected by the sensors and provide decisions for actuators connected on the same network. The intelligent system will be trained for variety machine learning algorithms required to automate the control the cultivation of indoor plants in smart homes. Time series prediction, Decision tree, Bayesian-based and other prediction machine learning algorithms employed to train the intelligent system to predict the optimal requirements of the plants based on its data collected. The intelligent system integrated in the IOT can utilize most accurate algorithm to predict and provide most suitable automated forming treatment. The block diagram of the Intelligent IOT Network Architecture for Indoor Plantation is disclosed in this invention. The block diagram shows the multiple sensors such as temperature sensor, humidity sensor, light sensor, soil moisture sensor and multiple actuators such as fan or air conditioning for temperature control, water pump for soil moisture and fertilizer control, LED for light control.
Temperature Sensor: Collect the temperature of the smart cultivation room and send to the central data server over the IOT Network.
Humidity Sensor: Collect the humidity of ambience of the cultivation area and communicate to central data server.
Light Sensor: Identify the light intensity near to plants in cultivation area and send it to the central data server over the IOT Network.
Soil moisture sensor: Collect the moisture level of the soil of the plants and communicate to the central data server over the IOT Network.
Central database server: Central data server is cloud space that holds the huge data generated by various sensors in the network and make the data available to the intelligent system for its data analysis.
Intelligent system: Intelligent system is microcontroller-based system enabled with internet connectivity to interface with central data server and control unit. The Intelligent system analyzes data received from the sensors and provides instructions to the Actuator Control Unit to maintain optimal ambience in the cultivation area.
Actuator Control Unit: Receives instructions from intelligent system and control the actuators as per the instructions to maintain the required cultivation environment.
Fan/Air conditioner: Actuator that can be controlled by intelligent system to maintain the humidity and moisture level of cultivation area.
Water pump: Actuator that pumps the water and fertilizes to the plants based on the instructions from intelligent system.
LED: Actuator can be controlled by intelligent system based on sensors data and maintain the required light intensity for plants photosynthesis that produce optimum yield.

The IOT network has been constructed in the area of 10000 square feet and evaluated for its effectiveness by cultivation of 25 ornament and flower plants. The automated and intelligent cultivation techniques have given optimum performance in terms of plants growth and harvest output as compared with manual cultivation. As discussed above the present invention relates to development of intelligent IOT network architecture for cultivation of indoor plantation in smart homes.
Block diagram of intelligent system is shown in figure 1. The Intelligent System is interconnected with all sensor and actuators over internet. The Intelligent system accepts data from all sensors analyze the data and then generate decisions for actuators to maintain the indoor cultivation climate conditions. Intelligent IOT Network Architecture is shown in figure 2. The IOT network architecture has sensors network connected to central database server over intranet network, the central data server is connected to intelligent system over internet, the intelligent system is connected to Actuator Control Unit over internet, and the control station has connected with all actuator over intranet. The computer aided model of cultivation environmental setup for indoor plantation is shown in figure 3. The figure demonstrates the cultivation environmental setup required for indoor plantation. The setup could have water tank for continuous water supply when required, pots for plants, various sensors covering all the cultivation area and actuator for controlling climate condition of the room.
3 Claims & 3 Figures