CAR AUTOSTART REMOTE CONTROL SYSTEM ON THE ARDUINO PLATFORM

This article describes a remote car auto-start system based on the Arduino platform using a ULN2003A (DIP) chip, several SRD-12VDC-SL-C relays, DC-DC converters 2-5A, diodes, resistors and capacitors. The principles of the system are explained in detail, the assembly diagram is given, as well as the basic fragments of the program code. Also the ways of possible modification of the project are given.

AN OVERVIEW OF INDUSTRY 4.0 TECHNOLOGIES FOR THE DEVELOPMENT OF A REMOTE-CONTROL SYSTEM FOR A CONSTRUCTION SITE

The development of science and technology in various areas of human life leads to the fact that an increasing number of routine operations are automated. The construction industry is no exception, which is actively developing today with the complex introduction of digital technologies. This approach is embedded in the Construction 4.0 concept, which is directly related to Industry 4.0. The article provides an overview of Industry 4.0 technologies related to the construction industry, because of which technologies that are promising for integration have been identified in order to increase the efficiency and safety of construction production through the development of a remote-control system for a construction site.

Production of Fertilizer from Seawater with a Remote Control System

Seawater is abundant and full of nutrients known as ORMUS. Inorganic fertilizers have become scarce and expensive, so alternatives to feed plants are being studied. An automatic tank on a fishing boat was designed to extract salts from seawater, as follows: Sodium hydroxide is applied to seawater and agitated within a tank until its pH reaches 10.78. Salts begin to deposit, and the sodium mixed with the water stays at the surface. Water with sodium is removed after 3 h with a low-pressure pump. Clean water is added to the salty solution at the bottom of the tank to remove more sodium. Water at the top is sucked by the pump again, and the process is repeated once more. After the white salt (ORMUS) lying at the bottom of the tank is removed, the fertilization extraction process can start again. The automatic system regulates the agitator speed, pump filling and suction timing, and bottom valve opening.

Design and research of port automatic magnetic mooring device based on electromagnetic technology

With the rapid development of modern science and technology, ship design and construction are becoming more and more large-scale, professional and intelligent, and the degree of integration, intelligence and modularization of port and terminal equipment is also getting higher and higher. Smart ships and wisdom The construction of ports has become an important trend in the development of the shipping industry. Although the rope materials of modern ships have been greatly improved, the main mooring method of ships still relies on the traditional operation method of manual mooring [1], which has low operation efficiency, high degree of danger and high risk factor. This article mainly studies the use of electromagnetic technology to realize the automatic berthing and unberthing of ships. The electromagnetic mooring device is controlled by the remote control system to realize the automatic berthing and unberthing operations of the ship, and the height and angle are automatically adjusted according to the tide and loading conditions to realize berthing monitoring.

Remote Run-Time Failure Detection and Recovery Control For Quadcopters

We propose an adaptive run-time failure recovery control system for quadcopter drones, based on remote real-time processing of measurement data streams. Particularly, the measured RPM values of the quadcopter motors are transmitted to a remote machine which hosts failure detection algorithms and performs recovery procedure. The proposed control system consists of three distinct parts: (1) A set of computationally simple PID controllers locally onboard the drone, (2) a set of computationally more demanding remotely hosted algorithms for real-time drone state detection, and (3) a digital twin co-execution software platform — the ModelConductor-eXtended — for two-way signal data exchange between the former two. The local on-board control system is responsible for maneuvering the drone in all conditions: path tracking under normal operation and safe landing in a failure state. The remote control system, on the other hand, is responsible for detecting the state of the drone and communicating the corresponding control commands and controller parameters to the drone in real time. The proposed control system concept is demonstrated via simulations in which a drone is represented by the widely studied Quad-Sim six degrees-of-freedom Simulink model. Results show that the trained failure detection binary classifier achieves a high level of performance with F1-score of 96.03%. Additionally, time analysis shows that the proposed remote control system, with average execution time of 0.49 milliseconds and total latency of 6.92 milliseconds in two-way data communication link, meets the real-time constraints of the problem. The potential practical applications for the presented approach are in drone operation in complex environments such as factories (indoor) or forests (outdoor).

Design of the Power System and Remote Control System for the Unmanned Ship

In lakes and reservoirs with high environmental protection requirements, it is necessary to adopt pure electric intelligent water quality monitoring ships, adopt pure electric power systems and intelligent remote control systems. This article specifically completed the design of the power system and remote control system of the smart ship, and elaborated the design method in detail. The system has the characteristics of high reliability, miniaturization, and modularization. The successful development of the system has greatly improved the intelligence of water quality monitoring ships, and has a positive effect on small intelligent ships in lakes and reservoirs.