In line river monitoring of nitrate concentration by means of a Wireless Sensor Network with energy harvesting

Capella, J.V.; Bonastre, Alberto; Ors, R.; Peris, Miguel

doi:10.1016/j.snb.2012.11.034

Cited by 33 publications

(27 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The setup of this WSN involves the following steps (1) Float testing and replacing; (2) Planning and installation of relays and controllers; (3) Planning and installation of signal wires; (4) Controller setting; (5) Installation of network cables; (6) Planning and building of data points on the server; (7) Testing. In addition, to verify whether the system is operable, testing will be conducted on the day that the system is set up on site.…”

Section: Setupmentioning

confidence: 99%

“…This interface also gives an anomaly alert when the received water level signal is excessively high or low. (2) Equipment monitoring: The equipment monitoring interface shows the operational signals of the equipment transferred by the controllers, which are dynamically updated, and allows the managers to remotely forcibly start or stop the equipment to prevent undesirable situations (e.g., the equipment idles when not needed or is out of operation when needed). Shang-Lien Lo 2 , ETJ Volume 3 Issue 01 January 2018 (3) Anomaly data: This section of the monitoring interface shows the operational conditions of the equipment.…”

Section: Remote Management Centermentioning

confidence: 99%

“…The experience of the operators is an unpredictable variable. Unreliable inspections resulting from indolence and Shang-Lien Lo 2 , ETJ Volume 3 Issue 01 January 2018 mistakes of the inspectors and the use of excess chemicals to meet the discharge requirements are problems with current wastewater treatment management and control systems. Application control and technical management should be more important than maintenance techniques.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Establishment of a Drone waste water Treatment Plants by Remote Monitor System

Cheng¹

2018

ETJ

View full text Add to dashboard Cite

Abstract:The effluent quality and operational performance of a wastewater treatment plant depend on the operational efficiency of the equipment used in the plant. Conventionally, general equipment maintenance in a wastewater treatment plant is often scheduled based on the maintenance staff's findings from their inspections and tests. In other words, equipment that fails to meet the requirements or has sustained damage is identified during inspections and tests and will be subsequently serviced. This maintenance method requires large amounts of time, manpower and material resources, from the detection of abnormal equipment to the completion of maintenance. This study proposes an improved concept of maintenance and service that is capable of predicting which equipment requires maintenance and servicing in a plant, thereby reducing the probability of equipment malfunctions or failures. A wireless sensor network and cloud computing are used to effectively manage and monitor a wastewater treatment plant; the water levels, operational conditions and important water quality parameters in each treatment unit are continuously monitored, and the monitoring data are uploaded in a timely fashion to the database of a cloud monitoring and control platform. Whether an anomaly has occurred in the wastewater treatment system is determined by comparing the monitoring data with the critical water levels, abnormal equipment conditions and continuous water quality monitoring data that are stored in the intelligent database. When the equipment sends abnormal signals, the intelligent system will alert the operators, who will then implement proper treatments or adjustments to achieve predictive maintenance. The advantages of this system are that it can prevent water quality deterioration, prevent the effluent quality from exceeding the discharge standards as a result of equipment damage and shorten the duration of abnormal equipment operation. This predictive maintenance and management system can more effectively utilize the maintenance staff's time than other techniques. The intelligent cloud-computing predictive maintenance system and its advantages are demonstrated with a case study of the Rong Lake Wastewater Treatment Plant in Kinmen County.

show abstract

Section: Setupmentioning

confidence: 99%

Section: Remote Management Centermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Establishment of a Drone waste water Treatment Plants by Remote Monitor System

Cheng¹

2018

ETJ

View full text Add to dashboard Cite

show abstract

“…One example is a network used for monitoring nitrogen compounds in waters of rivers, shown in [54], where a supercapacitor is added to the battery system and the whole system is recharged by a photovoltaic panel.…”

Section: Monitoring Water Parametersmentioning

confidence: 99%

Survey of Energy Harvesting Systems for Wireless Sensor Networks in Environmental Monitoring

Dziadak

Makowski

Michalski

2016

Metrology and Measurement Systems

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) have existed for many years and had assimilated many interesting innovations. Advances in electronics, radio transceivers, processes of IC manufacturing and development of algorithms for operation of such networks now enable creating energy-efficient devices that provide practical levels of performance and a sufficient number of features. Environmental monitoring is one of the areas in which WSNs can be successfully used. At the same time this is a field where devices must either bring their own power reservoir, such as a battery, or scavenge energy locally from some natural phenomena. Improving the efficiency of energy harvesting methods reduces complexity of WSN structures. This survey is based on practical examples from the real world and provides an overview of state-of-the-art methods and techniques that are used to create energyefficient WSNs with energy harvesting.

show abstract

“…The application of such system can realize the real-time continuous and the long-distance detection, which can make it possible to make the correspondent analysis based on the monitored situation of water quality to take fully advantage of the water resources [4][5][6]. For its part, it still remains a larger gap and many problems in our water quality monitoring station compared with the foreign ones, hence making it urgent for the construction of the water quality monitoring net in China for the time being now, to improve the research and development (R&D) ability, enhance the theoretical analysis and break through the bottlenecks of the related technology of the online automatic detection system.…”

mentioning

confidence: 99%

Distributed Intelligent Monitoring System for Water Environment

Wang

Zhou

et al. 2015

Intelligent Environmental Sensing

View full text Add to dashboard Cite

Abstract. As more concern is attached to water environmental protection, the need for continuous water quality monitoring is highlighted. This paper proposes a real-time online water environment monitoring terminal which contains the acquisition, storage, processing and transmission of water environment parameters and control instruction. The sensing part of the terminal includes the novel planar electrode sensor, commercial available sensors, GPS and IP camera. The data acquisition board provides compatible interfaces and stores water quality information. Mesh network is used for transmission. The performance shows the terminal can be effectively applied to distributed water environment automatic monitoring.

show abstract

In line river monitoring of nitrate concentration by means of a Wireless Sensor Network with energy harvesting

Cited by 33 publications

References 20 publications

Establishment of a Drone waste water Treatment Plants by Remote Monitor System

Establishment of a Drone waste water Treatment Plants by Remote Monitor System

Survey of Energy Harvesting Systems for Wireless Sensor Networks in Environmental Monitoring

Distributed Intelligent Monitoring System for Water Environment

Contact Info

Product

Resources

About