In earlier, IOT based projects devices are connected to “Bluetooth” for controlling devices and appliances remotely using Android based Smart phone application, which controls various appliances such as lights, TVs etc. These IOT based HOME AUTOMATION SYSTEM (HACS) receives commands from remote devices using Bluetooth that are manipulated by user. The system in turn dispatch commands to respective appliances that will perform the actions. In present IOT based system range of controlling devices is limited because of Blue tooth technology as blue tooth will not cover range beyond 100 m, as in many cases some people are not able move much from one place it is essential for them to develop a system which requires less human interaction . Also to improve standards of living, for less energy consumption it is needed to change home conditions ,so we need flexible energy efficient system which detects the fault in the devices automatically and generate a recovery process to resolve the detected problem. If this system has to be scaled up to meet requirements of distributed systems then even though cost of one component of PIC controller based IOT device is less we can scale it up for multiple connectivity options, which overall reduces cost of distributed IOT based system.
ABSTRACT: The change in automobile fleet size and consequently within the quantity of traffic isn't accompanied through boom within the space of the road in all of the time. This cause traffic congestion commonly in all the urban areas. In order to avoid traffic jams, we are in situation to come up with an new solution. In preceding decades many technology were evolved and designed solutions to make road transportation safer. Some amongst these techniques were conventional where as other are incorporated. New designed systems are capable of informing drivers about the traffic situations and feasible hazards of the road way with the help of Artificial Intelligent transportation system. This project work proposes Internet of Things-based approach that remedies troubles raised by using traffic congestion this offers strategy to raising traffic associated pollution also. This structure consists of two modules, 1. Hardware module and 2. Software program module. The device makes use of new technology for actual-time collection, employer and transmission which offer the statistics to estimate the correct site traffic density exploited by using traffic-conscious applications.
(5) Intelligent system for monitoring and controlling of the grain condition based on ARM9-The grain environment Information such as temperature, humidity and CO2 concentration is collected and stored by multi-sensor. Then the data is processed via multi-regional information fusion. The levels of the grains condition are predicted based on the BP neural network . The Experimental results shows that grain condition intelligent monitoring system designed in this paper has many good feature such as good site stability, easy acquisition and real-time on- line detection.
In Aquarius‟- Smart IoT Technology for Water Level Monitoring System’,Ultrasonic sensors are used to find the level of the water in the tank in cm as shown in Figure 4.Raspberry pi will fetch sensor output from controller using its GPIO pins. It is then transformed into percentage and gets stored on a cloud using MQTT(Message Queue Telemetry Transport) technology.Then the web server by using HTML and XML in Android will formulate and represent the data in graphical format. The data is retrieved from cloud and displayed on LCD screen using smart phones (android applications)and websites.
ABSTRACT: Cyber-physical systems (CPS) are systems that combine a physical system with an embedded information processing system such that the resulting system has capabilities that could not be achieved by either the physical or the computational entity alone. This paper describes grouping abstraction for Cyber-physical systems. This abstraction allows different applications to simultaneously use the same sensors and actuators. It describes the smart- campus technology which aims to increase campus automation and security with reduced energy consumption and improving response time. A smart campus consists of intelligent sensors and actuators operating on different platforms with conflicting objectives. This paper proposes a multi-agent system (MAS) design framework to achieve smart campus automation. Case study of smart campus takes care of following functions classroom occupancy, attendance monitoring system and area access controlling and monitoring in a classroom are performed using the hardware unit and Java agent development module to demonstrate the advantages of the proposed method.
human error. To overcome these possibilities of error, we have designed this system which will be monitoring the temperature and pH level of the water continuously and keep it updated in the cloud so that the data can be reviewed whenever needed as well as it sends a notification to the user as “STATUS ABNORMAL” so that if there is a change in the pH level, the required measurements can be taken
water used for analysis and favorable for growth of fishes have a threshold range. The controller should strictly monitor these parameters specified in the condition. If the value crosses any boundary it should be communicated with the user for immediate necessary actions. The values differ according to different parameters.  The "Internet" in the IoT is the link that connects and communicates with the user. The ZigBee protocol can be used by model to send the data to the controller and then wirelessly communicate to the user. The user can be informed about the status of various parameters collected by using internet as the medium. IEEE802.15.4 specifies the standard ZigBee protocol which is used to create small area network with low power and low bandwidth. This protocol is basically used where the system architecture demands wireless connection and ZigBee is simpler and less costly than Bluetooth (IEEE 802.15.1) or Wi-Fi (IEEE 802.11).
Single Phase and Three Phase Industrial machines are very popular in industries because of their vast applications. Hence it becomes necessary to protect them against faults so as to ensure uninterrupted operation and functioning 1.Various parameter controlling and monitoring systems are there for other types of machine, but in case of industrial machine the controlling and monitoring systems are not extensively used due to high cost of installation and physical constraints. So as to overcome the limitations in monitoring and controlling, Zigbee Based System is used which makes it cost- effective and simple on the other hand2. To start with, first we should know what Zigbee Protocol is. Zigbee is a wireless communication device like Bluetooth and Wireless Local Area Network (WLAN)3. Basic difference between Zigbee and other communication protocol is that all Zigbee devices relay each other’s traffic, bypassing the wired network entirely. While Bluetooth devices connect to another wireless that acts as a hub and WLAN devices connect directly to an access point, which is wired to the enterprise network using Ethernet. The Institute of Electrical and Electronics Engineers (IEEE) developed 802.15.4 standards and helped the production of Zigbee protocol and devices that support this protocol. The disadvantage of using traditional systems is that it increases the cost whereas digital systems reduce the cost of system. The basic structure of Zigbee based parameter monitoring and controlling system consists of ARM processor and acts as transmitter for the other microcontroller and Zigbee device which processor and Zigbee device, one set of ARM processor and Zigbee device are near industrial is near the computer where the parameters are displayed on computer using software application. In addition to Zigbee Device various other sensors are used for measuring different parameters.
2. Distribution transformers have a long service life if they are operated under good and crated conditions. However, their life is significantly reduced if they are overloaded, resulting in unexpected failures and loss of supply to a large number of customers thus effecting system reliability. Overloading and ineffective cooling of transformers are the major causes of failure in distribution transformers. Most power companies use Supervisory Control and Data Acquisition (SCADA) system for online monitoring of power transformers but extending the SCADA system for online monitoring of distribution transformers is an expensive proposition. Distribution transformers are currently monitored manually where a person periodically visits a transformer site for maintenance and records parameter of importance. This type of monitoring cannot provide information about occasional overloads and overheating of transformer oil and windings. All these factors can significantly reduce transformer life.
ІII. PROPOSED MODEL SYSTEM ARCHITECTURE The proposed model consists of a Microcontroller (Arduino Uno ) as a main processing unit for the entire system and all the sensors and devices can be connected with the microcontroller. The sensors can be operated by the microcontroller to retrieve the data from them and it processes the analysis with the sensor data and updates into the cloud through Wi-Fi module connected to it. Here we are using Arduino Due because it is compatible with 3.3v ESP8266 Wi- Fi module and it also contain more than one on chip UART’s so we can connect more number of Serial devices.
The proposed model consists of a Microcontroller (Arduino Uno ) as a main processing unit for the entire system and all the sensors and devices can be connected with the microcontroller. The sensors can be operated by the microcontroller to retrieve the data from them and it processes the analysis with the sensor data and updates into the cloud through Wi-Fi module connected to it. Here we are using Arduino Due because it is compatible with 3.3v ESP8266 Wi- Fi module and it also contain more than one on chip UART’s so we can connect more number of Serial devices.
The objective of the system architecture is to design a robust and effective tool which can carry out the „dims‟ methodology with minimal effort from the designers. The system development involves the design of a relational database, a communication engine (which allows active integration of the input data, the „diMs‟ processes and the output data) and an effective user interface. Apart from this a DSM backend engine has been used to carry out the DSM analysis such as Partitioning and Tearing. As the quantum of information and communication in construction design is large, it was decided to utilize web-based software architecture to perform the same. The „diMs‟ engine is built using Object Oriented Programming (OOP) concepts. OOPs provide a clear modular structure for programs which makes it good for defining abstract data types. The system development is a two step procedure; system analysis and its design. This consists of three parts, an application layer, a database layer and a presentation layer. System architecture is shown in Figure 1
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In this system, design flow of circulating water of first flushing water and secondary heating water is30m3/h, the process is as follows: the flushing water is pumped from water pool, filtered by automatic backwash filters, heated by self-cleaning plate heat exchanger and discharged into sedimentation tank. The clean water which is pressurized by pump, heated in self-cleaning plate heat exchanger and drained into heat supply pipe.
A WSU is comprised of a RF transceiver, different sensors, a micro-controller, ZigBee and power sources. Several WSUs can be deployed infield to configure a distributed sensor network for the automated irrigation system. Each unit is based on the micro-controller that controls the radio modem ZigBee and processes information from the soil-moisture sensor, temperature sensor and water level sensor. The soil moisture, temperature and water level sensor data from each WSU are received, identified, recorded, and analyzed in the WIU. TheWIU consists of a master micro-controller, an ZigBee radio modem, a GPRS module This processed information is send to web page where status of all these sensors are display graphically using graphical user interface using the GPRS module.
administrator has to manage the use of network resources and processes of the LAN in person. Smart LAN System For Controlling And Monitoring Network Using AT Commands In Distributed System helps preventing unauthorized use of devices and processes in a network by controlling the network remotely. The system is divided in two modules: 1) Manager and 2) Agent.
The controlling system of Android can split into four main layers: the kernel, libraries, application framework, and applications. As previously mentioned the kernel is Linux. The libraries that add up with Android provide much of the graphics, memory storage, and media capabilities. Planted inside the libraries layer is the Android runtime which contains the Dalvik Virtual Machine, which powers the applications. The application framework is the API that all applications will employ to access the lower stage of the architecture .
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In this project main thing is to reduce the man power of farmer .Farmers are met huge loses for improper knowledge about agriculture.So we implement this project by using IOT automation.its helps to collecting information about conditions like weather ,moisture,temperature and fertility of soil,crop online monitoring enables detection of weed ,level of water, Pest detection crop growth of agriculture .pulse electric field is used to destroy the microbial activities and it uses through the crops in twice a day it send 10ms of electric field.We can monitor all the sensor values using IOT by XBeeS2 communication module.The total system is operated with the help of solar panel in case its will be demand then only the EB source activated.
transmission technology is preferred. The industrial monitoring protocol should be designed such that the system must have a reliable end to end data delivery. The data which is collected from the robot should be transmitted without any delay and loss of data. Some of the techniques like zigbee, bluetooth have a small range and the data rate is minimum when compared to Wi-Fi.
S. V. A. Syed Anwaarullah presents the design and implementation of a low cost, compact and secure Android smart phone based home automation system. A single chip microcontroller real time operating system is integrated to the system, to improve the responsiveness of the system and make it more dynamic. The system uses Bluetooth technology. The Bluetooth module that is used is based on the Bluetooth V2.0 protocol and has a range of 10m operating at frequency of 2.4GHz with a maximum data exchange rate of 2.1Mbps. Similar to most of the existing systems, this system also does not support remote monitoring and controlling of devices. 
Proposed system consist of an android application that will contain the thinkspeak which will helps the user to show electricity uses with accordingly their bill. Hardware part consists of arduiono uno board that can perform according to the coding part for detecting and calculating. ESP8266 module able for the world wide connectivity for sending updates about system through SMS service.