Monday, June 1, 2020

IoT Based Garbage Management (Monitor and Acknowledgment) System: A Review

Garbage Management System Project

IoT Based Garbage Management (Monitor and Acknowledgment) System: A Review


Garbage Management System Project
Solid waste management is one of the primary problems that India faces irrespective of the case of developed or under development states. It is seen that most of the garbage’s across the roadside are overloaded because the waste is not collected periodically. It creates unhygienic condition for the people and creates bad odor around the surroundings. This leads in spreading some deadly diseases and human illness. Most of the time wet and dry wastes are not separately collected so that proper processing like composting, recycling, incineration cannot be applied to different kinds of waste. This paper reviews system for garbage management and proposes a system which will take care of proper processing of garbage. Code Shoppy The reviewed systems use ultrasonic sensor, infrared sensor [2][7] for detecting the level of waste, Arduino UNO [6], microcontroller[3][11], Raspberry Pi2[7] as controlling boards. The proposed system uses ultrasonic sensors (as they are precise and have large range) to sense the level of garbage in the bin, flame sensor to detect the fire and moisture sensor to separate out wet and dry garbage. By using global system for mobile (GSM) the concerned persons (driver of garbage collecting vehicle as well as concerned authority) shall be informed through SMS. The officials shall monitor the status ofwaste bins through web page. As huge data is to be transmitted and processed fastRaspberry Pi3 is preferred as controlling board.
The environment should be clean and hygienic for better life leads in India. In the present scenario, many times it is seen that the garbage bins or dust bin are placed at public places in the cities are overflowing due to increase in the waste every day. These overflowed garbage bins can create an obnoxious smell and make an unhygienic environment. This leads to the rapid growth of bacteria and viruses which can cause different types of diseases. The proposed system shall overcome such problems by alerting the status of garbage bins as well as helps to keep dry and wet garbage separately so that different processes-composting, recycling, incineration shall be applied to different kinds ofgarbage. By intimating the notification of garbage filled, the number of trips of the garbage collecting vehicle shall be also reduced.
G. Shyam et al. have researched waste collection management solution based on providing intelligence to waste bins, using an IoT prototype with sensors. It can read, collect, and transmit huge volume of data over the Internet. Such data, when put into a spatiotemporal context and processed by intelligent and optimized algorithms, can be used to dynamically manage waste collection mechanism [1]. S. Kanta et al. worked on efficient garbage collection systems with wireless sensor network and mores focus on IoT [2]. S. Kumar et al. worked on the system which checks the waste level over the dustbins by using Sensor systems. Once it detected immediately this system alerts to concern authorized through GSM/GPRS [3]. A. Arber et al. have analyzed a distributed cross-layer commit protocol (CLCP) for data aggregations and its support for query based search for IoT application [4]. J. Joshi et al. have proposed a solution about the Smart Bin is a network of dustbins which integrates the idea of IoT with Stack Based Front End approach of integrating Wireless Sensor Network with focus on software [5]. N. Kumar et al. have proposed a smart alert system for garbage clearance by giving an alert signal to the municipal web server for instant cleaning of dustbin with proper verification based on level of garbage filling [6]. They have used ultrasonic sensor, RFID, Arduino UNO to check the level ofgarbage filled in the dustbin and alerted the municipal web server if garbage is filled. A. Singh et al. proposed a methodology with use of Infrared sensors to gather real time data from the waste bins and that of Raspberry Pi2Development Board to communicate this information to the waste managers [7]. F. Fulianto et al. presented a system that identifies fullness of litter bin. The system was designed to collect data and to deliver the data throughwireless mesh network [8]. P. Shrivastava et al. have done a review and comparison on various GIS models suggested for solid waste management [9]. Al Mamun et al. have proposed new framework that enables theremote monitoring of solid waste bin in realtime, via Zig-Bee-PRO and GPRS, to assist the solid waste management process [10]. The system framework was based on a wireless sensor network, contained three levels: smart bin, gateway and control station that stored and analyzed the data for further use. W. Reshmi et al. developed a system with use of biosensor sensor, weight sensor and height sensor to detect overflow of the waste in the dust bin and the extent of pollution caused by unwanted toxic gases from the bin [11]. In this system sensors unit were used for sensing, microcontroller for controlling and for communication GSM module is used. V. Catania et al. proposed a system where waste collection is made by real-time monitoring the level of bin’s fullness through sensors placed inside the containers [12]. S. Islam et al. introduced an integrated system combined with an integrated system of RFID, GPS, GPRS, GIS and web camera. The built-in RFID reader in collection trucks would automatically retrieve all sorts of customer information and bin information from RFID tag, mounted with each bin. GPS would give the location information of the collection truck [13]. S. Longhi et al. developed the system which is based on sensor nodes and makes use of Data Transfer Nodes (DTN) in order to provide to a remote server the retrieved data measurements from the garbage bins filling [14]. M. Areber et al. developed the system using RFID associate with intelligent systems like GSM and geographical information system (GIS) for tracking vehicle position [15].
The proposed system ‘IoT based Garbage Management (monitor and acknowledgement) System’ shall provide the smart solution regarding overflowing of garbage bins. This system shall be beneficial in keeping dry and wet garbage separately so that different processes- composting, recycling, incineration shall be applied to different kinds of garbage. By intimating the notification of garbage filled, the use of the garbage collecting vehicle shall be optimized. By keeping the environment clean, contribution shall be given to the society for ‘Clean India Concept’. https://codeshoppy.com/shop/product/location-based-garbage-management-system-for-smart-city/


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Tuesday, March 10, 2020

Risk Management System for Hospital Basic

RiskManagement System for Hospital Basic

There has been a significant increase in emergency incidents involving hospital basic operation (non-clinical side of hospital daily running and maintaining), which adversely affects the functioning of hospitals and poses threat to the staff members and patients. To cope with these emergencies, our group proposes a design of risk management system based on technologies of Internet of Things (IoT), building information model (BIM), and geographic information system (GIS), aiming to realize real-time risk factors identification and more effective and more efficient coordinated response. In this paper, the system architecture, key technologies, and simulated cases are also presented respectively.Keywords-risk management, hospital basic operation, BIM, IoT, GIS


Risk management first appeared in performance and reliability critical industries, such as aerospace, aviation, and advanced manufacturing etc. [1]. The concept and techniques were later utilized by healthcare orgnisations, for administrating their daily clinical work, amid the growing tendency of dependence on advanced equipment and information system during the past century [2, 3]. In the meantime, risks in the non-clinical daily running and maintaining of hospitals, including logistics and ward, has received less attention from administrators and researchers. Through a survey of cases, we found that emergency incidents involving non-clinical basic operation could cause severe consequences threatening the health and safety of patients and staff members. For instance, the fever clinical building of the People’s Hospital of Shanxi province in China collapsed for land subsidence caused by the chronical leakage of underground water supple pipe networks, and the gas explosion in Cuajimalpa Maternal Hospital, located in southeast of Mexico City, caused 3 deaths and dozens of injuries [4, 5]. Such adverse events are typically caused by oversight, errors, and defects of the hospital basic operations and similar incidents happened pervasively. Risks of basic operation in hospitals involve many parts of human work and equipment running. The existing management strategy was mainly dependent on the manual inspection and disposal experience of staff members, which apparently increase the uncertainty of timely risk discovering and appropriate disposal measures taking. Informationized risk management system, based on IoT, GIS and BIM, contributes to solving these problems. IoT is defined as the internetworking of physical devices, buildings, vehicles and other objects, embedded with sensors, electronics and network connectivity that enable them to collect and transfer data [6]. In the risk management system for hospitals, IoT refers to the sensors collect and exchange the data about equipment running and environment and monitors providing the information 
of the situation and state of crowded or other attention-required area. BIM is a process related to the generation and management of digital representations of physical and functional characteristics of places [7], which helps to locate the risks and incidents, supply the information (such as the combustible material, or pipe network nearby and etc.) of specific area, and present the neighboring scene in and out buildings. GIS is designed to capture, store, manipulate, analyze, manage, and present spatial or geographical data [8]. Not only display the data of longitude, latitude, and elevation, GIS is also characterized with the ability to realize related states analysis and prediction, paths planning and etc., that makes the procedure of emergencies coordinate response more orthonormal and considerate. The design of risk management system proposed in the paper integrates the technology of IoT, BIM and GIS to timely discover the risk and handle the emergencies in hospital basic operation
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There is some informatoinized response mechanism in terms of some specific emergencies, such as fires, parameters deviation of boilers and pressure pipelines, human attack and so on, but they are distributed in different management system. The risk management system proposed in the paper aims construct one comprehensive system cover all possible emergencies in hospitals, with integration and adjustment of the existing ones and supply other parts. The risk management system will promote the ability of hospitals in risk detection, analysis, visualization and response decision-making based on the integration of IoT, BIM and GIS. The system architecture and function design were described respectively, and its application was illustrated through application cases in this paper. In the viewpoint of public safety, the assessment and management of these risks consist of identification and classification, real-time monitoring and estimation, consequence prediction and alertness and coordinate response. Undoubtedly, the informatoinized systematic management of the risk elements contributes to achieve the goal. The difficulties of later work concentrate on the
recognition algorithm with regard to the different emergencies, and the standard of different alarm levels. The economic efficiency also needs to be taken into consideration, since the disposal measures for some emergencies can meet the safety requirement. In terms of these emergencies, our work is to make their record of the state of risk factors informatoinized