Bin Management Research Articles

Gambaran Sanitasi Sekolah Dasar Inpres Palsatu dan Sekolah Dasar Negeri Palsatu pada Kelurahan Manutapen Kecamatan Alak Kota Kupang

School sanitation, including the provision of clean water, toilet facilities, hand washing with soap (CTPS), waste bin management, has a big impact. When school sanitation facilities and infrastructure do not meet health standards, lack of Clean and Healthy Living Behavior, as well as lack of sanitation management schools, has negative impact on student health. The aim of the research to describe the sanitation situation at SDI Palsatu and SDN Palsatu using descriptive research methods. The research was conducted in January-February 2024 with a sample of 30 students and principals from each school. The results of research show that condition of clean water supply facilities at SDI Palsatu and SDN Palsatu meets requirements with percentage of 80% and 100%, the condition of latrines at SDI Palsatu and SDN Palsatu does not meet requirements with percentage of 45.45% and 36.36%, the condition of CTPS at SDI Palsatu and SDN Palsatu do not meet requirements with a percentage of 33%, Conditions of waste disposal facilities at SDI Palsatu and SDN Palsatu o not meet requirements with percentage of 20%, The behavior of using latrines for urinating/defecating at SDI Palsatu and SDN Palsatu does not meet requirements with percentages of 54.44% and 55.55%. CTPS behavior at SDI Palsatu and SDN Palsatu meets requirements with percentage of 82% and 78%. Waste management behavior at SDI Palsatu and SDN Palsatu does not meet requirements with percentage of 33.33% and 26.66%. Sanitation management at SDI Palsatu and SDN Palsatu is good with percentage of 71.42% and 85.71%.

Design internet of things for smart waste bin management with wemos based and firebase application

The communication process for notifications involves sending alerts to users through a combination of automation and telecommunications technologies. The design smart trash, utilizing the Wemos microcontroller, performs various automated tasks such as opening and closing, compacting the garbage, and providing status notifications. These notifications are transmitted through the Firebase web server communication and an Android application on smartphones. Following successful testing, the system functions according to the programmed specifications. It achieves automatic opening and closing within a proximity range of ≤ 10 cm, demonstrates an average waste compaction rate of 45%, and delivers notifications to users indicating the trash status—whether it's empty, halfway full, or completely full.

Internet of Things enables smart solid waste bin management system for a sustainable environment.

Solid waste management (SWM) is a pressing concern and significant research topic that requires attention from citizens and government stakeholders. Most of the responsibility of waste management is on the municipal sector for its collection, reallocation, and reuse of other resources. The daily solid waste production is more than 54,850 tonnes in urban areas and is difficult to manage due to limited resources and different administrative and service issues. New technologies are playing their role in this area but how to integrate the technologies is still a question, especially for developing countries. This paper is divided into two main phases including a detailed investigation and a technological solution. In the first phase, the data is collected by using the qualitative method to investigate and identify the issues related to waste management. After a detailed investigation and results, the gap is identified by using statistical analysis and proposed a technological solution in the second phase. The technology-based solution is used to control and manage waste with a low-cost, fast, and manageable solution. The new sensor-based technologies, cellular networks, and social media are utilized to monitor the trash in the areas. The trash management department receives notification via cellular services to locate the dustbin when the dustbin reaches a maximum level so the department may send a waste collector vehicle to the relevant spot to collect waste. The smart and fast solution will connect all stakeholders in the community and reduce the cost and time and make the collection process faster. The experiment results indicated the issues and effectiveness of the proposed solution.

Bin Management and Recycling Process in Smart Cities

Abstract—India faces major environmental challenges related with waste generation, waste collection, transport and its recycling process. Current system or mechanism in smart cities cannot cope with the volumes of waste generated by an increasing urban population, and this impact on the environment and public health. The management which is involved for collecting and recycling of waste is not performing its job. Our intention in this study is to approach this problem in a different manner. Idea is to involve our public more and try to let them to know their responsibility. We are going to design a system which helps to the public to notify about waste bin and also public can make direct contact with the real system, when waste collection failed in any area by using the software system. System is used because it's very difficult to track of all this information like bin location, path to collect the garbage, update from after collecting the waste from driver etc. With the help of this system. we encouraging disposal and recycle the waste as much as possible! Solid waste such as Bottles, cans, cell phones and may other items can re-cycled.

Medical Waste Management: An Assessment of District-Level Public Health Facilities in Bangladesh.

BackgroundDue to the huge patient load and different types of services, public health facilities produce a bulk of medical waste (MW) in Bangladesh. Improper disposal of MW increases the risk of infection among healthcare service personnel, patients, and attendants. To ensure quality services, this study aimed to assess the practices of MW management and quantify those to find out the shortcomings in the specific steps of waste management.MethodologyAs part of a larger interventional study, a facility assessment was conducted from February to April 2016 at a District Hospital (DH) and a Mother and Child Welfare Centre (MCWC) in one district. Non-participatory observation of MW management was done using a checklist that was developed following the Guideline for Medical Waste Management of Bangladesh. Scoring was applied for various activities of MW management performed in the study facilities.ResultsThe overall scores for bin management, segregation, and collection of waste were 64.5%, 58.1%, and 62.0% in DH and 53.1%, 41.5%, and 48.0% in MCWC, respectively. The performance of operation theater in MCWC was the lowest among different corners (16.7% to 36.0%). Reusable waste was segregated poorly (32% in DH and 0% in MCWC), and almost none was shredded (4% in DH and 0% in MCWC). Waste was transported from in-house to out-house temporary storage area in an open bin without any trolley or specific route. The storage area was accessible to unauthorized persons, for example, a waste picker in DH. While DH segregated 84% of its infectious waste at the source, it eventually got mixed up with other waste in the storage area and delivered to the municipality to be dumped. MCWC could segregate only 40% of its infectious waste at the source and disposed of them using the pit method. Both the facilities disposed of sharp MW by open-air burning and liquid waste through sewerage without any treatment.ConclusionsThe performance of MW management was poor in both study facilities. Advocacy to the healthcare personnel and refresher training along with supportive supervision and monitoring may improve the situation. Moreover, a larger study is needed to find out the reasons behind such poor MW management.

A Proposed IoT-Enabled Smart Waste Bin Management System and Efficient Route Selection

Internet of Things (IoT) is an emerging technology that offers promising solutions to modernize the traditional systems. It accords promising result in crystallizing smart cities, smart homes, smart industries, and smart environment. This article presents the smart waste management architecture for smart cities and efficient routing technique considering least delay for the architecture. In wireless sensor networks, end-to-end delay is one of the important Quality of Services (QoS) parameter to overcome delay in data communication. In this article, we consider end-to-end delay minimization in smart waste management application. The term “end-to-end delay” is defined as the total time taken by a single packet to reach the destination node. The proposed scheme considers the interference level, the length of the routing path, and the number of hops along the path. The simulation results show that the proposed scheme outperforms current schemes.

Development of a Cost-Efficient Waste bin Management System with Mobile Monitoring and Tracking

Development of a Cost-Efficient Waste bin Management System with Mobile Monitoring and Tracking

Bin-Dog: A Robotic Platform for Bin Management in Orchards

Bin management during apple harvest season is an important activity for orchards. Typically, empty and full bins are handled by tractor-mounted forklifts or bin trailers in two separate trips. In order to simplify this work process and improve work efficiency of bin management, the concept of a robotic bin-dog system is proposed in this study. This system is designed with a “go-over-the-bin” feature, which allows it to drive over bins between tree rows and complete the above process in one trip. To validate this system concept, a prototype and its control and navigation system were designed and built. Field tests were conducted in a commercial orchard to validate its key functionalities in three tasks including headland turning, straight-line tracking between tree rows, and “go-over-the-bin.” Tests of the headland turning showed that bin-dog followed a predefined path to align with an alleyway with lateral and orientation errors of 0.02 m and 1.5°. Tests of straight-line tracking showed that bin-dog could successfully track the alleyway centerline at speeds up to 1.00 m·s−1 with a RMSE offset of 0.07 m. The navigation system also successfully guided the bin-dog to complete the task of go-over-the-bin at a speed of 0.60 m·s−1. The successful validation tests proved that the prototype can achieve all desired functionality.

Analysis and optimisation of a logistic warehouse in the automotive industry

The automotive industry is one of the most competitive sectors, in which rigour, flexibility, quality and agility constitute the critical factors of success. Warehouse activities and their associated costs play a vital role in logistic functions. Their optimisation and performance assessment may result in substantial value gains for the company. This study was developed at Continental Mabor, with the purpose of developing a proposal to restructure and optimise the company’s warehouse. An analysis of the existing warehouse was carried out and the respective proposals were subsequently presented. The main goal of these proposals was to improve the efficiency of warehouse functions, reduce stock quantities and enhance the capacity to meet customer’s demand. A warehouse management system (WMS) was installed and a suitable bin management solution was defined. This system consisted of a basic WMS to support stock inventory and its location. In addition, this system envisaged warehouse performance and included elements such as the inventory management Key Performance Indicator (KPI) and warehouse productivity.

IOT Based Intelligent Bin for Smart Cities

The method of connecting the objects or things through wireless connectivity, Internet called Internet Of Things. Nowadays a variety of tasks are based on IOT. Cities in the world are becoming smarter by implementing the things around using IOT. This is a new trend in technology. Smart cities include obstacle tracking, object sensing, traffic control, tracking of our activities, examining the baby, monitoring home lights and so on. One of the objective of smart cities is keeping the environment clean and neat. This aim is not fulfilled without the garbage bin management system. Hence the paper “IOT Based Intelligent Bin for Smart Cities” has been developed. Bin management is one of the major applications of IOT. Here sensors are connected to the all the bins at different areas. It senses the level of garbage in bin. When it reaches threshold a message is sent via GSM to the concerned person to clean it as soon as possible. The completed task is done in LabVIEW environment.

Steering Control Strategies for a Four-Wheel-Independent-Steering Bin Managing Robot

Abstract: Automatic steering systems are a standard function for robotic agricultural equipment. Ackerman steering is the most common type of steering mechanism on such equipment, making them perform as car-like vehicles. Because of their kinematic constraints, it is quite difficult to maneuver carlike vehicles effectively in orchards due to confined working space, constrained by physical boundaries such as tree rows and other obstacles. To remove such technical difficulties, more sophisticated steering mechanisms and steering control strategies are required for robotic agricultural equipment. In order to conveniently manage fruit bins in confined tree aisles constrained by high density tree rows, a robotic bin management system, called bin-dog system, implementable in typical Washington State tree fruit orchards has been developed. This bin-dog system adopted a four-wheel-independent-steering (4WIS) mechanism as the solution to achieve the necessary drivability and maneuverability. To provide adequate controllability to this 4WIS, a four-mode steering strategy, including Ackermann steering, active front and rear steering (AFRS), crab steering, and spinning, were designed for this bin-dog to manage fruit bins effectively in the confined orchard space. This control system makes it possible for the bin-dog system to switch between four steering modes using the most appropriate steering mode to complete all maneuvering tasks in a most effective way. To design such a control system, it is important to understand the influence of major factors, such as longitudinal speed and control gain on performance under different steering modes when tracking various paths. In this paper, a pure pursuit method was implemented using a GPS-based navigation to evaluate auto-steering performance with both Ackermann steering and AFRS modes. Field tests were conducted to assess the navigation performance using different steering strategies when tracking different paths. The results indicated that by properly selecting a steering strategy for the situation, it is possible to achieve a satisfactory path tracking performance for tracking curvy paths or completing tasks such as merging and cornering.

Integrated Sensing Systems and Algorithms for Solid Waste Bin State Management Automation

Intelligent solid waste bin is essential to develop an efficient and dynamic waste management system. This research presents the implementation and execution of an integrated sensing system and algorithm for solid waste bin to automate the solid waste management process. Several sensing methods have been integrated and have combined their verdicts that offer the detection of bin condition and its parameter measurement. A number of test runs have been conducted to assess the functioning of the prototype system. The outcomes showed that the sensing system with the algorithm is efficient and intelligent and can be simply used to automate any solid waste bin management process.

Investigation of the causes for the occurrence of residues of the anticoccidial feed additive nicarbazin in commercial poultry

Investigations were undertaken to identify causes for the occurrence of high levels of the zootechnical feed additive nicarbazin in broiler liver at slaughter. The first investigation on 32 commercial broiler flocks involved sampling and analysis for nicarbazin (as dinitrocarbanilide, DNC) in liver from birds during a 3–10-day period after withdrawal of nicarbazin from their feed and before commercial slaughter. DNC residues in liver samples of broilers scheduled as being withdrawn from nicarbazin for ≥6 days ranged from 20 to >1600 µg kg−1 (the specified withdrawal period for nicarbazin is 5 days and the Joint Expert Committee on Food Additives (JECFA) maximum residue limit (MRL) is 200 µg kg−1 liver). Further on-farm investigations on 12 of these flocks, selected on the basis of the feeding system in use and the levels of DNC residues determined in liver, identified issues in feed management contributing to elevated residues in broiler liver. A significant correlation (0.81, p < 0.01, n = 10) between DNC residues in liver samples and in feed samples from the feeding pans was observed. The second investigation on 12 commercial broiler flocks involved sampling and analysis for DNC in liver samples and feed samples from feeding pans and from the feed mill at the three thinnings of birds for commercial slaughter. In the case of one flock, a clear relationship between nicarbazin in feed from the feed mill (10.5 mg kg−1 DNC), in feed from the feeding pans (6.6 mg kg−1 DNC) and in liver (583 µg kg−1 DNC) at first thinning (9 days scheduled withdrawal from nicarbazin) was observed. Such a clear relationship was not observed in other cases, particularly at second and third thinnings, pointing to re-exposure of birds to nicarbazin late in the flock production cycle, probably from the litter. Guidelines outlining best farm practice to eliminate nicarbazin residues in poultry have been published in booklet and poster format for broiler producers and deal with feed system cleaning, feed bin management, feed deliveries, feed usage and records.

Potato Bin Management Based on Respired CO2

Carbon dioxide (CO2) was monitored during the suberization phase of storage at one storage with both manually and computer-controlled bins and at another storage with a computer controlled bin. While maintaining the same average carbon dioxide level, the total fan run-times for the manually controlled bins were about five times longer than those for the computer-controlled bins. A 5 m/s (11 mph) wind blowing into the bin intake damper affected carbon dioxide patterns and concentrations.

Identification and Application of a Bin Management System

Describes a case study at Australian Paper Manufacturers (APM), where several changes in systems and practices led to efficiency improvements. The problem faced was the need for improved systems of recording stock whereabouts, assembling outgoing loads, and disassembling incoming loads. The option chosen to improve the stock management system at APM′s Northgate distribution centre was bin management, which allowed physical segregation and labelling of loads. Describes the APM experience in detail, and includes diagrams and figures explaining both the physical layout of the distribution centre, and the system approach used.