Papers by Keyword: Real-Time Monitoring

Abstract: The rheological properties of drilling fluids, such as plastic viscosity, yield point, and gel strength, are critical for ensuring efficient and safe oil and gas well drilling. Traditional methods for rheological analysis, reliant on manual or semi-automated viscometers, suffer from delays and inability to provide continuous data, increasing operational risks. This study presents the development and validation of an automated software-hardware complex designed for real-time monitoring of drilling fluid rheology. The system integrates inline rheometers, pressure and temperature sensors, and advanced data processing algorithms to deliver accurate measurements with a response time of 0.8 seconds. Laboratory tests demonstrated errors of ±4.2% for viscosity and ±7.8% for yield point compared to the Fann 35 viscometer, while field tests under simulated drilling conditions (30–100°C, 5–20 MPa) confirmed reliability with errors below ±9.2%. Case studies showcased rapid detection of anomalies, enabling proactive fluid management. The complex offers a scalable, integrated solution, reducing non-productive time and enhancing well stability. Recommendations include machine learning integration for predictive analytics and cloud-based analytics for remote monitoring, with future work targeting extreme conditions and other fluid types. This advancement significantly improves drilling fluid management, contributing to safer and more efficient drilling operations.

Abstract: This study presents a new mathematical model for determining the specific growth rate of biomass in biotechnological production processes, which aims to optimize the production of biotechnological products such as the advanced material polyhydroxyalkanoates. The specific growth rate is classified by the FDA as a critical process parameter that affects product quality and quantity, but is difficult for laboratory personnel to determine. Therefore, a simple and robust method for real-time monitoring and control is crucial. According to the current state of the art, the established Luedeking-Piret model for determining the specific growth rate requires the determination of the biomass as an absolute value to initialize the model and to determine two further model parameters. However, determining the biomass is time-consuming and error-prone. The new relative model replaces this value with the relative change in biomass, which can be easily recorded using standard laboratory methods such as optical density measurement. This eliminates the need for time-consuming and resource-intensive preliminary work. Despite this simplification, simulation tests have shown that the new model delivers identical results to the established model. It represents an independent, precise alternative and offers advantages in terms of handling. The results underline the model's potential to make bioprocesses more sustainable and efficient. Especially in research, material consumption, laboratory time and costs can be reduced compared to the established model. Future experiments will further investigate the performance of the new approach compared to the established model.

Abstract: Water distribution systems are critical to urban infrastructure, especially in regions facing water scarcity. This study focuses on the design of an innovative water distribution system with smart monitoring for Ongwediva Town in Namibia, addressing challenges due to population growth and climate variability. By integrating advanced sensors and smart technologies, the system measures real-time water level and monitors flow rate, thereby reducing water loss and operational costs. Calculations for key components, including the ultrasonic water level sensor, critical buckling load, pump size, and photovoltaic (PV) requirements, are presented. The water level sensor provides accurate distance measurements based on ultrasonic pulse timing, while the flow rate sensor achieves a calibrated flow of 1.2 l/min. Structural analysis of the water tower support yields a moment of inertia of 5.33×10^-9 m⁴, and a critical buckling stress of 1.37E×10^-7 N/m², confirming the suitability of mild steel. A 30 W pump powered by a 100 W PV system ensures reliable operation with minimal energy consumption. The daily energy requirement of 240 Wh and the adjusted requirement of 300 Wh highlight the importance of considering system efficiency in energy calculations. Accounting for a system efficiency of 80% ensures that the solar power system is adequately sized to meet operational demands without running into energy shortfalls. The system’s real-time data transmission allows for proactive leak detection and optimized water management, significantly improving sustainability. Testing and calibration confirm the system's reliability, offering a scalable model for other municipalities.

Abstract: Over the past few years, the development in the field of Internet of Things technologies, Big Data, and artificial intelligence has helped industries to digitalize the shop floor machine and enable the real-time monitoring and storing of data in the cloud. Real-time monitoring of shop floor machines plays a crucial role in manufacturing industries to maintain their machines, reduce downtime, and increase operational efficiency. This study presents a cost-effective solution for real-time monitoring of shop floor machines using open-source technologies, including Raspberry Pi as an edge computing device, Node-RED as a Gateway, and ESP-32 as a microcontroller. The proposed solution demonstrates the potential to revolutionize machine monitoring in manufacturing environments, offering preventive maintenance, and optimizing operational efficiency. The system gathers information from PLC with NODE-RED and various sensors such as SCT-13, ZMPT101B, and MPU 6050, installed on the shop floor machine. These sensors collect real-time data that reflect the health, performance, and power consumption of machines. The real-time sensor data also storing in the cloud as well as a local database for further analysis. Our research bridges the gap between edge computing and cloud-based monitoring, offering practical benefits to manufacturing industries, widespread adoption of our approach promises more efficient processes and resource utilization.

Abstract: One of the most important steps during manufacturing of solar modules is lamination. This paper focuses on monitoring of behavior of used encapsulant Ethylene/Vinyl-Acetate (EVA) and impact on overall quality of module during lamination. Monitoring is performed by employing external thermocouple sensor inside the lamination chamber as well as by. Real-time analysis of the results helps to predict the quality of final product in terms of ensuring lamination quality in real time and provides possibility to tune the process during manufacturing cycle to achieve the best result of encapsulant cross-linking.

Abstract: This article presents the algorithm of monitoring a high-rise building as a complex object. The functional areas (strata) of a high-rise building are considered and certain mathematical models and algorithms describing the process of monitoring a high-rise building are presented. The developed system using this algorithm should allow real-time monitoring of the life support systems, making better decisions in the event of unusual situations.

Abstract: Currently the settlement and deformation of factory building structure is monitored using total stations and other more conventional measuring instruments, it is difficult to reflect the health of the structure timely and accurately. In order to change the situation, we establish a set of system for real-time monitoring of deformation and safety warning. The system is formed of sensing layer, transport layer and application layer. Sensing layer is composed of static force level and biaxial inclinometer. The system can be used in dynamic real-time factory structure safety monitoring, also applied to other similar structural monitoring. This paper will study the system components and principle, early warning systems grading, calculation of real-time deformation of roof frame, laboratory test scheme and verification. Experiments showed that the system is suitable for the actual factory structure monitoring, while the choice of static force level and biaxial inclinometer of precision to meet the requirements.

Abstract: In recent years, enterprise manufacturing safety accidents have taken place frequently in China. We propose an application of wireless sensor network (WSN) in the enterprise safety manufacture real-time monitoring and accident pre-warning system (RMAPS), illuminate the principles and advantages of WSN, as well as the design basis of WSN in the system in this paper. Based on the current situation of low level of intellectualization in the RMAPS system and the existing problems, we propose the designing principals and the monitoring mechanism of the RMAPS system, study the feasibility, the method and the way of the application of the WSN in the RMAPS system in this paper.

Abstract: First, Anti-balance method is used to build the model of q₂,q₃,q₄ to figure out the Function expression of q₂+q₃+q₄ .when q₂+q₃+q₄ gets the minimum, the corresponded to the excess air ratio is the best excess air ratio. The excess air ratio is related to the load of boiler, so the function image describing the relationship between q₂+q₃+q₄ and excess air ratio under the different load of 192.3MW, 215.8MW, 245.3MW and 298MW are made to get the best excess air ratio. Second, based on the model before, new variables q₅ and q₆ are added to complete the function formula of the efficiency and the excess air ratio, and four function image will be drew to show the tends. Finally, based on the conclusions above, smoke vents oxygen content can take the place of excess air ratio to achieve the purpose of monitoring the boiler in real time.

Abstract: SOFC laid in complicated Marine environment, are extremely vulnerable to all kinds of external factors, and anchor damage is the biggest threat to submarine cable communication. In order to overcome the limitations of existing SOFC monitoring technology, the double M-Z distributed optical fiber sensing technology is selected to apply in on-line monitoring of SOFC, and the monitoring system is designed both in software and hardware. The optimization scheme of being in conjunction with monitoring and control system of SOFC is put forward in anticipation of the possible problem of false alarm in the future application of the monitoring system.