Real-time database of the subsystem of monitoring the process of growing vegetable products in the greenhouse

2021 ◽  
pp. 128-136
Author(s):  
M. Lendiel ◽  
◽  
T. Lendiel ◽  
I. Bolbot ◽  
◽  
...  

When choosing systems for automatic control of the microclimate of the greenhouse should take into account the requirements that affect the process itself. In the process of growing different crops in the greenhouse, it is necessary to maintain the temperature and humidity according to the technology for the comfortable development of the plant, which will further affect the quality of the crop. An important factor is the fixation of all measured values for further processing of the results, and in paper and mostly unstructured form it is not so convenient to do. That is why information control systems provide constant fixation of measured values and maintain indicators that will be comfortable for a particular variety grown in the greenhouse. The aim of the study is to create software for an automated subsystem for monitoring technological parameters, which will allow in real time to obtain indicators of the microclimate of the greenhouse. To effectively manage the parameters of greenhouse cultivation and rapid processing of measured data, it is proposed to improve automated software management systems for creating databases. An automated subsystem for monitoring technological parameters has been developed, which allows to obtain real-time indicators of the greenhouse microclimate, control their values, process them statistically and demonstrate them to the staff. An application for reading and outputting measured information from the Arduino hardware platform has also been created. Key words: human-machine interface, monitoring, air temperature, microclimate, greenhouse

2010 ◽  
Vol 7 (2) ◽  
pp. 32 ◽  
Author(s):  
L. Khriji ◽  
F. Touati ◽  
N. Hamza

 Nowadays, there is a significant improvement in technology regarding healthcare. Real-time monitoring systems improve the quality of life of patients as well as the performance of hospitals and healthcare centers. In this paper, we present an implementation of a designed framework of a telemetry system using ZigBee technology for automatic and real-time monitoring of Biomedical signals. These signals are collected and processed using 2-tiered subsystems. The first subsystem is the mobile device which is carried on the body and runs a number of biosensors. The second subsystem performs further processing by a local base station using the raw data which is transmitted on-request by the mobile device. The processed data as well as its analysis are then continuously monitored and diagnosed through a human-machine interface. The system should possess low power consumption, low cost and advanced configuration possibilities. This paper accelerates the digital convergence age through continual research and development of technologies related to healthcare. 


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 110511-110522 ◽  
Author(s):  
Chenggang Deng ◽  
Guohui Li ◽  
Quan Zhou ◽  
Jianjun Li

2013 ◽  
Vol 475-476 ◽  
pp. 680-684
Author(s):  
Chang Li Zha ◽  
Fang Zhu

The feeding system is an important part of the mill, which is also the main factor that influenced flour efficiency and quality of mill. Designed a kind of automatic feeding system of mill based upon FX2N-series PLC as the core controller, vector universal inverter of INVT to drive , Real-time detection of material position of ultrasonic technology and HT7000-series HMI of Hollysys to Man-machine interface, and better solution to the problem of real-time and accuracy of the feeding quantity. The practical operation shows that the system has the characteristics of high precision, good reliability, easy operation etc.


2012 ◽  
Vol 241-244 ◽  
pp. 3067-3070
Author(s):  
Muhammad Irfan ◽  
Hong Zhu

Cloud computing is baseline to invent next generation systems. As computer science is progressing by steps of cloud computing, same as requirements gathering, analysis in cloud computing getting more potential. The cloud computing enables services to fulfill requirements of cloud end-user, according to service level agreements. Data services over cloud also getting more potential especially real-time database systems are more critical to meet customer requirements over cloud. We will elaborate and present detailed analysis about requirements for real-time database systems over cloud, as well identify challenges and issues for RTDBs (real-time database systems) in cloud computing. There is need to ensure quality of service (QoS) as guaranty to meet requirements of RTDBs.


2021 ◽  
Author(s):  
Wided Ben Abid ◽  
Mohamed Ben Ahmed Mhiri ◽  
Emna Bouazizi ◽  
Faiez Gargouri

The massive use of ontologies generates a large amount of semantic data. To facilitate their management, persistent solutions for storing and querying these semantic data loads have been proposed. This gave rise to a new type of databases, called ontology-based databases (OBDB). In recent years, the need for data and real-time services has increased significantly in a large number of applications. However, the OBDB does not implement any mechanism to address real-time applications which are characterized, not only by handling large amounts of data, but also by temporal constraints, to which can be submitted data and treatments. As well, geographically extended applications, requiring using real-time databases that manage data and distributed processing are increasingly needed.These applications are managed by Distributed Real-Time DataBase Management System (DRTDBMS). Like any system, the DRTDBMS, often go through overload phases, due to the unpredictable arrival of transactions submitted by users. In order to better manage Quality of Service (QoS) in these systems by facing instability periods, approaches based on Distributed Feedback Control Scheduling (DFCS) were proposed. These approaches does not address the use of ontological data. In this paper, we propose an approach aiming to enhance QoS in DRTDBMS based on data replication. It consists in extending the DFCS architecture by the manipulation of ontological data as well as handling the execution of accessing transactions. In the extension we propose, we study the applicability of different data replication policies. The proposed architecture is then called Replication-Based-Distributed Feedback Control Scheduling Architecture for Real-Time Ontology (Replication-Based-DFCS-RTO). We also show the contribution provided by our approach through simulation results.


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