Rendmax, software para cálculo e análise de volume e rendimento máximo em madeira serrada

Abstract

A sawmill is a location where logs of wood are received, stored, processed, and subsequently dried for a specific period. Sawmills are commonly classified based on their daily production, that is, their yield, categorizing them into small, medium, and large scale. Various factors influence this yield, and in the absence of proper control or monitoring, there is a tendency for production losses. As an alternative, sawmill automation emerges as a viable solution, especially through the utilization of information technology. This involves implementing optimization systems for cutting calculations, which can be developed using progxanumng languages such as HTML, CSS, and JavaScript. In this context, the aim of this work was to develop software for optimizing the sawing of wood logs to achieve maximum volume and yield in wood utilization. In developing the mathematical models used to estimate the volume and maximum yield of sawn wood from a log, as well as the corresponding software, four predefined scenarios commonly used in sawmills were considered. In each of these scenarios, calculations were manually performed using the same values employed in the program tests, with the goal of verifying the software's proper functioning in each established scenario. Subsequently, following the calculation methodology, software was developed to optimize the process of converting wood logs into mechanically processed pieces. This software was built using programming languages JavaScript, HTML, and CSS. HTML was used to structure the website. while CSS was responsible for the design, colors, shadows, size, and positioning of elements. JavaScript was responsible for the software's source code, that is, the program's interactivity, including input requests, variable creation, internal calculations, interactions, interactive menus, animations, and validations. By combining these three languages, it became feasible to automate the data acquisition process following the same empirical reasoning, based on equations. However, in this case, with an approach carried out through the creation of codes and commands using programming languages. This enables achieving the desired result, maximizing log utilization according to the scenario, demonstrating its effective applicability in the market.