infrared cameras, LIDAR systems, and/or the like) that capture imagery. The device can process the imagery to comprehend and response to image-based commands or other input such as, for example, gesture commands provided by the user. In some implementations, the vision system may incorporate or perform facial movement identification (e.g. lip reading) capabilities while, in other implementations, the vision system may additionally or alternatively incorporate hand shape (e.g. hand gestures, sign language, etc.) identification capabilities. Facial movement and/or hand shape identification capabilities may allow a user to give commands a control device in addition or alternatively to voice control.
Abstract. In recent years, global water pollution problems have become increasingly serious, and work to control and protect the water environment has become increasingly important. In order to achieve real-time monitoring of waterquality throughout the day and in a wide range, it provides an important basis for water environment management. This paper designs and implements a waterqualitymonitoringsystem based on LoRa technology. This paper includes the hardware selection and software design of end-devices and gateways, the deployment and application of open source LoRa Sever, and the design and implementation of websites based on Java Web. It realizes the user's remote access to waterquality information and has certain practical value.
The whole system is mainly composed of three parts: measurement sensing layer, data transmission layer and application layer. The measurement sensing layer monitors the waterquality in real time through each sensor node, and collects the raw monitoring data of waterquality. The data transmission layer is responsible for the transmission of the data from the sensing layer to the application layer. The application layer’s task is to store the gathered data, analysis the stored data, and display the results by using HBase storage, Mysql cache, and Hadoop big data processing technology. The structure of the waterqualitymonitoringsystem platform is shown in Figure 1.
Water Pollution is a major global problem which requires ongoing valuation and modification of water resource guiding principle at the levels of international down to individual wells. It has been surveyed that water pollution is the leading cause of deaths and diseases worldwide. The records show that more than 14,000 people die daily worldwide. In India predictable 580 people die of water pollution related illness every day. In many developing countries, dirty or contaminated water is being used for drinking without any proper former treatment. One of the reasons for this happening is the unawareness of public and administration and the lack of waterqualitymonitoringsystem which creates serious health issues. Also natural phenomena such as volcanoes, algae tints, rainstorms, and earthquakes also change the quality and ecological status of water.
Mobile data management applications are being increased because of the rapid spread of mobile phones. Smart phones now has become platform both for computing and communication. Mobile phones are becoming cheaper, easier to use, and can be used for multiple types of information transmission. The mobile data applications along with sensor technology can improve the efficiency as well as accuracy of the data reporting for waterqualitymonitoringsystem. Smart phones/tablets having sensors embedded with display and keypad can be connected to the Internet with an IP address (satisfies every requirement of an IoT device). They will serve as the hub/remote control for IoT. In Ubiquitous Network Architecture smart things are part of the Internet; authorized users have access to information; servers act as a sink to collect data from each object.
In view of the importance of waterqualitymonitoring in aquaculture, it is particularly important to propose a practical, economical and easy-to-use on-line waterqualitymonitoringsystem. In recent years, the development of the wireless network communication technology is very fast. ZigBee has the advantages of low cost, high transmission efficiency and low power consumption. Using ZigBee to build a wireless sensor network in the data transceiver has an advantage such as free for cabling, construction and maintenance convenience, low cost of use and so on. It can be monitored in real time for waterquality data in data center. The system can also be compared with the setpoint based on the data collected by the sensor. For the data beyond the set range, the system will promptly take sound and light alarm, remote automatic controlling to aerator and water pump. ZigBee can also solve the problems of low reliability, high cost and poor real-time performance of existing traditional monitoring methods, so it provides a reliable reference for scientific farming.
Abstract - The need for effective and efficient monitoring, evaluation and control of waterquality in residential area has become more demanding in this era of urbanization, pollution and population growth. Ensuring safe water supply of drinking water is big challenge for modern civilization. Traditional methods that rely on collecting water samples, testing and analyses in water laboratories are not only costly but also lack capability for real-time data capture, analyses and fast dissemination of information to relevant stakeholders for making timely and informed decisions. In this paper, a real time waterqualitymonitoringsystem prototype developed for waterqualitymonitoring in Residential home is presented. The development was preceded by evaluation of prevailing environment including availability of cellular network coverage at the site of operation. The system consists of a Raspberry Pi, Analog to Digital Converter, Waterquality measurement sensors. It detects water temperature, dissolved oxygen, pH, and electrical conductivity in real-time and disseminates the information in graphical and tabular formats to relevant stakeholders through a web-based portal and mobile phone platforms. The experimental results show that the system has great prospect and can be used to operate in real world environment for optimum control and protection of water resources by providing key actors with relevant and timely information to facilitate quick action taking.
cause irritation to the eyes, skin and mucous membrane. Acidic water (pH 4 and below) can also cause irritation due to its corrosive effect (Niel et al., 2016). Measurement of dis- solved oxygen (DO) is important for aquaculture centers since this parameter determines whether or not a species can survive in the said water source. ORP is a measure of degree to which a substance is capable of oxidizing or reducing another substance. ORP is mea- sured in milli volts (mv) using an ORP meter. Tap water and bottled water have a positive value of ORP. Turbidity refers to concentration of suspended particles in water. Conduct- ivity gives an indication of the amount of impurities in the water, the cleaner the water, the less conductive it is. In many cases, conductivity is also directly associated with the total dissolved solids (TDS).
plants, and bacteria to thrive symbiotically and to work together to create a healthy growing environment for each other, provided that the system is properly balanced. Although the production of fish and vegetables is the most visible output of aquaponic units, it is essential to understand that aquaponics is the management of a complete ecosystem that includes three major groups of organisms: fish, plants and bacteria. In aquaponics, the aquaculture effluent is diverted through plant beds and not released to the environment, while at the same time the nutrients for the plants are supplied from a sustainable, cost- effective and non-chemical source. This integration removes some of the unsustainable factors of running aquaculture and hydroponic systems independently. With the help of automated waterquality management system for Aquaponics, without human intervention, farmers are able to monitor the waterquality, which helps to improve the efficiency and productivity of the unit. More over with the help of Blynk, a door is opened for the data analysis which helps to optimize the circulation of water and thus optimize the power requirement for the continuous water circulation. With this project an automated concentration measurement system with the help of colour detection is introduced which reduce the human intervention and thus will make the life of farmers easier.
A new configuration realizing waterqualitymonitoring device using ISFET involving CMOS differential voltage current conveyor (DVCC) based low pass filter free from trans-conductance variation using Low-voltage PMOS bulk- driven cascade current mirror (P MOS BDCCM) current mirrors is proposed. The circuit uses four DVCCs as active elements and together with two capacitors and five resistors as passive elements, only one current mirror. The use of this active component makes the implementation simple and attractive. The functionality of the circuit is tested using Tanner simulator version 15 for a 70nm CMOS process model also the transfer function realization is done on MATLAB R2011a version, the Very high speed integrated circuit Hardware description language(VHDL) code for the same scheme is simulated on Xilinx ISE 10.1 and various simulation results are obtained. Simulation results are included to demonstrate the results.
Good waterquality is essential for the health of our aquatic ecosystems. Continuous waterqualitymonitoring is an important tool for management authorities, providing real-time data for environmental protection and tracking pollution sources; however, continuous waterqualitymonitoring at high temporal and spatial resolution remains prohibitively expensive. In this system we present a design and development of a low cost system for real time monitoring of the waterquality using IOT(internet of things).The system consist of four sensors is used to measuring physical and chemical parameters of the water. The parameters such as temperature, turbidity, PH and water flow can be measured. The measured values from the sensors can be processed by the core controller. The Raspberry Pi can be used as a core controller. Finally, the sensor data can be viewed on internet using cloud computing.
Fig. 6 is a screen shot of the main interface. The figure below shows the program has been started. Before the program starts, user has to choose COM Port number in which access point being attached to. After clicking ‘Connect’ button, the program will show whether the port has been accessed. If it stated that the selected port has been connected, the program is now connected to the access point and would able to receive input from it. Then data received from access point would be displayed in ‘Input Received’ and ‘Readings’ text boxes. Readings of all three parameters are displayed on the screen from time to time for the farmers to view and track the current reading of the waterquality of their pond. The parameters’ readings are displayed next to the ‘Temperature’, ‘pH’ and ‘Dissolved Oxygen’ text boxes respectively. Status on the waterquality is also shown on screen. Date and time of the last update made is also imparted to the user. All these info are pertinent to the farmers in knowing the latest condition of their pond. Other information shown on screen includes last alert sent and the contents of message sent. This will aid the farmers in knowing the recentness of the alert and consequently help the farmers in taking fast and necessary action.
Proposed system provides easy access and simple understanding of waterquality for common person. It contains different sensors for getting waterquality parameters. System gets water parameters from sensors through embedded processor. Processor then processes the output of the sensors and check weather water is consumable or not. If water is not consumable then alerts the corresponding authority else it stores the reading in the database.
The project “A low cost sensor network for real time monitoring and contamination detection in drinking water distribution system” has been successfully designed and tested. It has been developed by integrating features of all the hardware components and software used. Presence of every module has been reasoned out and placed carefully thus contributing to the best working of the unit. Secondly, using highly advanced ARM9board and with the help of growing technology the project has been successfully implemented.
systems available E.g, J-MAR BioSentry , Hach HST Guardian Blue  but such systems are very bulky and costly In a research paper “Detection of water-quality contamination events based on multi- sensor fusion using an extended Dempster–Shafer method presented by –“ Dibo Hou1, Huimei He1, Pingjie Huang1, Guangxin Zhang1 and Hugo Loaiciga2”  The author has presented a method for detecting contamination events of drinking water sources based on the Dempster–Shafer (D-S) evidence theory. The purpose of this system is to protect water supply systems against intentional and accidental contamination events. Research paper Titled “Contamination of Water Distribution Systems” By Walter M. Grayman, PhD, PE presents Mathematical hydraulic and waterquality models of water distribution systems which can be used to estimate the movement of a contaminant in a distribution system In paper “Integrated Solid-state Sensors MonitoringWaterQuality for the Next Generation of Wireless Sensor Networks “ By -Serge Zhuiykov1, Eugene Kats1 1CSIRO  the research has been dedicated to the development of solid-state sensors which can be used for real-time monitoring of waterquality parameters such as pH and dissolved oxygen (DO), dissolved organic carbon (DOC) at relatively high spatial resolutions. The USACERL (U.S. Army Corps of Engineers Construction Engineering Research Laboratory) is working on a project to develop a more seamless and effective online waterqualitymonitoringsystem .
Design of an autonomous authentic-time invention to measure the physical and biochemical parameters of water such as water pH, water temperature, and water turbidity using ZigBee-wireless module and Arduino at mega microcontroller by Beri . The investigation should be conducted for construction in many energy- constrained sensor connections in a remote locale. So, a low-horsepower, low-cost, single-chip fully desegregated self-governing Arrangement on- Chip based wireless sensor junction is compelled to resolve these difficulties. The smart waterqualitymonitoringsystem consists of a combination of sensors to observe the diverse water parameters such as water pH, water temperature, carbon dioxide (CO2) present in water, water level. Originally, the sensors distinguish the various water parameters, then the data is measured on STM32 Nucleo is programmed in C programming language using the STM32CubeMX software.
Waterquality has been a major issue for many decades causing 5 to 10 million deaths worldwide. Many of the existing waterquality management techniques are not enough to promise the cleanliness of water. Existing methods consist of taking samples from various points in a distributed network and then testing them in a laboratory. This method is time consuming and is laborious and require great extent of man power and also it is not effective as it is a proactive measures of waterqualitymonitoring. Thus a multi sensor network using wsn can take care of all the needs which are required for efficient and non- laborious waterqualitymonitoringsystem. This system are relatively affordable and allow measurements to be taken from remote location, in real time and with minimal human intervention. There are various WSN based paper of waterqualitymonitoring method suggested by others authors.
Abstract-Water is an important natural resource which needs constant qualitymonitoring for ensuring its safe use. This project presents the application for Real Time River Waterqualitymonitoring. Waterqualitymonitoringsystem composed of number of sensor nodes with networking capability which are deployed at different places in the river root. Each sensor node consists of microcontroller, GSM module and waterquality sensors. The sensor probes shall continuously measure the different waterquality parameters like pH, Temperature, turbidity and Conductivity. The parameters are measured in real time by the sensors and send the data to the data center using wireless data transfer protocol. The proposed system is used to detect the contamination in water due to industrial and society wastes, identifying the changes in waterquality in a real time manner and prevent the river water from pollution.
The key parameters monitored in the proposed system are temperature, turbidity and pH. The block diagram of the proposed system is shown in Fig. 2. A controller forms the central part of the IoT enabled waterqualitymonitoringsystem. As seen from designs are not cost effective, power efficient and also result in complex circuitry. Sensors are directly interfaced to the controller since the proposed system is to monitor domestic waterquality. The sensor parameters such as turbidity, temperature and pH are measured by placing the sensor into different solutions of water. The data from the sensors are sent to the cloud using the controller. Threshold is set in the cloud based on the standards provided by WHO. Message is sent from the Ubidots cloud to the user’s mobile if the value exceeds the threshold. pH measures amount of acid or base in the solution. pH sensor consists of two electrodes which is reference electrode and pH electrode also known as measuring electrode. When placed in the solution pH electrode develops a potential that is proportional to pH. The value ranges from 0 to 14.
Due to this, a waterqualitymonitoringsystem is becoming an importance to implement at the recreational lake. The system able to monitor the lake whether it safe or not for recreational purposes and inform the responsible parties. Current waterqualitymonitoringsystem is sufficient yet it is expensive and hard to maintain.