A remote gain controlled and polarization angle tunable Doppler backward scattering reflectometer.

Increasing operating costs and decreasing net revenues have greatly underlined the importance of optimizing production operations. The development of automation systems in the Petroleum Industry has become important in uniting isolated production facilities to form integrated systems. This paper briefly traces the history and development of remote and computer control systems for gas and oil production. It also describes the development of the remote control and monitoring system installation at Union Oil onshore and offshore production facilities in East Kalimantan. Emphasis is placed more on the description of the remote process system monitoring and control in the Attaka field. The wireless communication and process control system are being used to transmit alarm and flow metering, emergency shutdown, and paging functions between five satellite wellhead platforms and production platform central monitoring system at the Attaka field. Each producing facility is designed to be compatible with remote supervisory control. To obtain this compatibility and a high degree of safety, conditions in each portion of the process system are monitored. Paralleling the development of automatic control techniques were computer applications. A simple computer system are being used to control and monitor three gas dehydration towers which comprise a portion of the Union LEX Plant operation at Santan onshore facility. Expectations and development of future systems and evaluation of past experience are discussed in the conclusion.

This paper illustrates an internet-based fuzzy control system of complex industrial manufacturing, which is cement production. It ensures remote and fuzzy control of the process in real time in cement factories in Algeria. The remote control system contains several tasks, such as alarms diagnostic, e-maintenance and synchronising regulation loops, to guarantee the automated performance. To evolve the system, we propose firstly, fuzzy logic to control the cement mill workshop and ensure that the system is operational with minimal downtime. Secondly, we integrate internet technology to remote control via internet to secure human life and render it unnecessary for operators to be at site. When there is a breakdown, it is not necessary to send an expert to diagnose and solve problems. Therefore, the system reduces travel costs by sending reports and transmitting process data. Operators can execute and monitor the system according to authentication access in main control room or via internet.

The communication and control system of an oilfield in the South China Sea has been modified and optimized in order to complete the remote control production of an offshore oilfield during typhoons. The oilfield communication antenna is equipped with glass fiber reinforced plastic sheath to reduce the vibration of satellite antenna caused by strong winds. The oilfield thermal backup and terminal power amplifier ensure continuous connection. Through the remote control transformation of on-site equipment, control system optimization, the construction of land remote monitoring center and other ways to complete the remote control of production during the typhoon. Meanwhile, through the automatic control of one-button seawater displacement function to ensure the replacement of pipelines after the production of oil fields, fire and gas fire fighting system during the typhoon production is still normal operation, to ensure the safety of on-site equipment. In the process of typhoon remote control, due to the remote communication control, there is a certain delay, the operator needs to minimize the man-machine interface of the operation control system, and try to make the equipment run automatically. The stable operation of typhoon remote control production is ensured through the transformation and optimization of the oilfield.

Computer Assisted Remote Control and Automation Systems for Longwall Shearers

Significance: The ability of robotic arm system to become teleoperational is essential for advancing remote work. Existing solutions often require complex setups, specialized training, and expensive hardware. Developing a simplified wearable device that can be rapidly integrated and deployed can significantly enhance accessibility where remote control is paramount, including remote surgeries in healthcare and hazardous environments. Aim and approach: This work presents the design and development of a wireless glove-based control system for remotely operating a robotic arm. A reliable, responsive, and user-friendly control system offers scalability, customization options, intuitive interaction, and ergonomic comfort. The approach combines advanced motion sensing using a 9 Degrees of Freedom (DoF) Inertial Measurement Unit (IMU) and real-time data processing. The IMU estimates roll, pitch, and yaw, directly controlling the translational movements (x, y, z) of the robotic arm’s end effector. Depending on button states, these inputs can also switch to control the end-effector rotations. Results: The developed glove demonstrated user compliance. The system is rapid to deploy, and the wireless device successfully captured real-time gesture control data and redirected it to the robotic system with an average latency of 185 ms, enabling the system to perform a range of manipulations, including pick and place, reaching, and grasping objects. Conclusions: This research presents a robust and efficient teleoperation system, offering a viable solution for advancements in remote robotic arm control. This innovation bridges the gap between the full potential of complex robotic systems and user interaction, unlocking new possibilities across various fields.

Currently, in the field of transplanting and sowing, the chassis is required to have basic characteristics such as compact structure, small overall weight, good field passing ability, and adaptability. However, there is still no universal chassis available in the market for walking with ridges. Therefore, designing a universal chassis with electric drive, remote operation/automatic ridge following automatic switching can meet the actual working needs of the above-mentioned machines. The electric drive chassis control system includes: Zed2 camera, PLC main control unit, brushless DC motor, brushless DC motor driver, wireless remote control system, optocoupler isolation module, voltage conversion module, etc. During manual control, the eight way remote control controller receives control signals from the remote control and manipulates the PLC for forward, backward, turning, and speed adjustment; During automatic control, the deviation distance between the ridge navigation line and the chassis obtained by the Zed2 camera is used to control the PLC for forward and reverse movement to follow the ridge.

Remote control involves several issues that degrade seriously the performance of the plant to be controlled. This paper presents a strategy improving the characteristics of the remote control system, using an online adaptive neural net, in order to learn the variations of the remote system parameters to minimize the errors. This strategy is successfully applied to a client-server remote control system for a two link robot arm. Tests show that an error position in a remote control brushless motor can be highly reduced since its first reference command using a prevision of that error to modify the original reference. The neural net, used only by the client, is previously trained using local test data and then it is trained using online feedback data from the remote plant

The loadbreak cutout control is most often performed from the zonal load dispatcher level. The system presented in this paper performs the remote control and permanent monitoring of some loadbreak cutouts which run on a 20kV power line. The monitoring and control is directly carried out by the zonal load dispatcher. This remote control alternative provides more operativity and safety in decision making for the load dispatcher. The hardware components of this control system are installed in the dispetcher's control center and in the electric switch boxes of the loadbreak cutouts, respectively. The physical communication support for sending information between the dispatcher and the cutouts is the optical fiber and the Global System for Mobile Communications (GSM) network. On the control center server a customized software application is installed, ensuring the user (dispatcher) interface while monitoring the cutout's status and performing commands, choosing the communication support (GSM or optical fiber) etc. The monitoring and remote control system enables all features for Supervisory Control and Data Acquisition (SCADA) integration. The application is hardware and software configurable, giving the posibility of monitoring more loadbreak cutouts. The system is currently operational in Romanian hydropower plants.

With the rapid development of computer network applications and the growing popularity of computer technology, computer network remote control technology widely used.Users unrestricted geographical conditions, different locations via the network control network devices, network devices to obtain information.Remote control technology greatly facilitates network maintenance and control, has a very important value.According to this trend, the paper computer network remote control technology research.

Remote control process system with distributed time-delay has attracted much attention in different fields. In this paper, non-linear remote control of a single tank process system with wireless network is considered. To deal with the distributed time-delay in a large-scale plant, the time-delay compensation controller based on DCS devices is designed by using operator theory and particle filter. Distributed control system (DCS) device is developed to monitor and control from the central monitoring room to each process. The particle filter is a probabilistic method to estimate unobservable information from observable information. First, remote control system and experimental equipment are introduced. Second, control system based on an operator theory is designed. Then, process system with distributed time-delay using particle filter is carried out. Finally, the actual experiment is conducted by using the proposed time-delay compensation controller. When estimating with the proposed method, the result is close to the case in which the distributed time-delay does not exist. The effectiveness of the proposed control system is confirmed by experiment results.

Mechanical arm, image recognition and wireless transmission have been a hot topic and technology in recent years. This paper mainly introduces the object recognition mechanical arm based on the mechanical arm and wireless transmission technology. The system is modular, and the whole equipment system is divided into remote control system and mechanical arm system according to function. The remote control system is an upper computer software which integrates image recognition, related data processing module and wireless transmission module. The remote end includes wireless transmission module, steering gear control module and image acquisition module. The image is collected and sent to the remote control system, and the motion trajectory of the mechanical arm is obtained after calculation, and the control signal of the stepping motor on the mechanical arm is further calculated, and finally sent to the mechanical arm system to achieve the purpose of remote control. At the same time, during the movement of the mechanical arm, the relevant data is collected by the sensor on the mechanical arm and sent back to the remote control terminal for display and judgment. In this project, the mechanical arm system can automatically recognize the target on a two-dimensional plane and move the mechanical arm according to the object position. Meanwhile, the upper computer can display relevant data information.

Physical testing of large-scale ship models at sea is a new experimental method. It is a cheap and reliable way to research the environment adaptability of a ship in complex and extreme wave conditions. It is necessary to have a stable experimental system for the test. Since the experimental area is large, a remote control system and a telemetry system are essential, and were designed by the authors. An experiment was conducted on the Songhuajiang River to test the systems. The relationship between the model’s speed and its electromotor’s revolutions was also measured during the model test. The results showed that the two systems make it possible to carry out large-scale model tests at sea.

BackgroundSince 2010, more than half of World population lives in Urban Environments. Urban Diabetes has arisen as a novel nosological entity in Medicine. Urbanization leads to the accrual of a number of factors increasing the vulnerability to diabetes mellitus and related diseases. Herein we report clinical-epidemiological data of the Milano Metropolitan Area in the contest of the Cities Changing Diabetes Program. Since the epidemiological picture was taken in January 2020, on the edge of COVID-19 outbreak in the Milano Metropolitan Area, a perspective addressing potential interactions between diabetes and obesity prevalence and COVID-19 outbreak, morbidity and mortality will be presented. To counteract lock-down isolation and, in general, social distancing a pilot study was conducted to assess the feasibility and efficacy of tele-monitoring via Flash Glucose control in a cohort of diabetic patients in ASST North Milano.MethodsData presented derive from 1. ISTAT (National Institute of Statistics of Italy), 2. Milano ATS web site (Health Agency of Metropolitan Milano Area), which entails five ASST (Health Agencies in the Territories). A pilot study was conducted in 65 screened diabetic patients (only 40 were enrolled in the study of those 36 were affected by type 2 diabetes and 4 were affected by type 1 diabetes) of ASST North Milano utilizing Flash Glucose Monitoring for 3 months (mean age 65 years, HbA1c 7,9%. Patients were subdivided in 3 groups using glycemic Variability Coefficient (VC): a. High risk, VC > 36, n. 8 patients; Intermediate risk 20 < VC < 36, n. 26 patients; Low risk VC < 20, n. 4 patients. The control group was constituted by 26 diabetic patients non utilizing Flash Glucose monitoring.ResultsIn a total population of 3.227.264 (23% is over 65 y) there is an overall prevalence of 5.65% with a significant difference between Downtown ASST (5.31%) and peripheral ASST (ASST North Milano, 6.8%). Obesity and overweight account for a prevalence of 7.8% and 27.7%, respectively, in Milano Metropolitan Area. We found a linear relationship (R = 0.36) between prevalence of diabetes and aging index. Similarly, correlations between diabetes prevalence and both older people depending index and structural dependence index (R = 0.75 and R = 0.93, respectively), were found. A positive correlation (R = 0.46) with percent of unoccupied people and diabetes prevalence was also found. A reverse relationship between diabetes prevalence and University level instruction rate was finally identified (R = − 0.82). Our preliminary study demonstrated a reduction of Glycated Hemoglobin (p = 0.047) at 3 months follow-up during the lock-down period, indicating Flash Glucose Monitoring and remote control as a potential methodology for diabetes management during COVID-19 lock-down.Hypothesis and discussionThe increase in diabetes and obesity prevalence in Milano Metropolitan Area, which took place over 30 years, is related to several environmental factors. We hypothesize that some of those factors may have also determined the high incidence and virulence of COVID-19 in the Milano area. Health Agencies of Milano Metropolitan Area are presently taking care of diabetic patients facing the new challenge of maintaining sustainable diabetes care costs in light of an increase in urban population and of the new life-style. The COVID-19 pandemic will modify the management of diabetic and obese patients permanently, via the implementation of approaches that entail telemedicine technology. The pilot study conducted during the lock-down period indicates an improvement of glucose control utilizing a remote glucose control system in the Milano Metropolitan Area, suggesting a wider utilization of similar methodologies during the present “second wave” lock-down.

To date, access control systems have been hardware-based platforms, where software and hardware parts were uncoupled into different systems. The Department of Electronic Technology in the University of Seville, together with ISIS Engineering, have developed an innovative embedded system that provides all needed functions for controlling and monitoring remote access control systems through a built-in web interface. The design provides a monolithic structure, independence from outer systems, easiness in management and maintenance, conformation to the highest standards in security, and straightforward adaptability to applications other than the original one. We have accomplished it by using an extremely reduced Linux kernel and developing web and purpose-specific logic under software technologies with an optimal resource use.

Human-like conception of a remote control robotic system