When transmitting electricity over long distances, overhead power lines are used. When servicing the lines, brigades of workers performing manual inspection are used. This collection of information is not efficient and time-consuming, since it is possible to identify only those problems that a person can see. Problems such as the destruction of insulators, the slope of the poles of power lines, a small layer of icing will remain unnoticed and will lead to serious consequences, such as a break in power lines and falling poles. If the lines are broken and the supports fall, the repair team will have to drive the entire section of the power transmission line from start to break, if the terrain allows you to use ground transportation. Provided that some lines can stretch for hundreds of kilometers - troubleshooting can stretch for several hours or even days. The use of robotic systems will prevent such accidents, and in case of their occurrence due to force majeure circumstances, speed up the search and repair. The likelihood of electric shock will also be reduced.
Quality control is one of the main functions of the quality management process. Its purpose is an identification of production errors for their prompt elimination and with minimal production losses. The launch of the concept of quality assurance into practice has significantly increased the efficiency of production with a sufficiently high quality of products and services, which has created conditions for the formation of a global market for goods and services. For LED lights luminous flux is the basic parameter that is needed to calculate the illumination of things and to understand the basic parameters of the suitability of the LED lights. In the analyzed articles, the specific time of the beginning of measurements of the luminous flux of the lamp is not given, which is a source of data discrepancies and erroneous results of calculating its light output. Therefore, to eliminate this deficiency in the technical characteristics, the luminous flux should be reduced after a certain stabilization time after power supply. To solve the problem associated with the development of standards for determining the level of degradation of the luminous flux, in this article the technique for predicting the decline of the luminous flux of a LED lamp through the determination of the level of decline in illumination is developed and the approximation of curves is presented.
This article describes how to create a product life-cycle tracking system in a continuous production environment. To do this, using the example of the production of electrical equipment, the weaknesses of the production process of the enterprise were identified and the directions of information automation were determined. Methods for tracking the life cycle of products used in different areas were considered, and their advantages and disadvantages were identified. As a result, a system was developed using QR codes applied to products and read by portable devices. The advantages of using the implemented system are increasing production efficiency by tracking the employment of employees and applying disciplinary measures to employees, reducing the percentage of defects in production due to timely receipt of information on the progress of production processes by management, which ensures timely organizational measures, reducing the percentage of utilization by optimizing the logistics system in production-marking of completed production processes and positioning of parts after passing through the processes, reducing the consumption of raw materials. IntroductionThe gradual introduction of cyber-physical systems into technological production processes already in the current production conditions, aimed at obtaining benefits due to the scale of production, will increase competition in the market, expand markets, and increase the competitiveness of various sectors of the economy of entire countries [1]. Fundamentally new, breakthrough business models and technologies should become the tools for such a transformation of the economy. This place will be taken by 3D printing technologies, robotization, the Internet of things, digital platforms, virtual spaces for learning, digital ecosystems, advanced analytics of big data, and, of course, development in the field of artificial intelligence [2]. According
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