Glossary D
Deutsch: Entlaubungsmittel / Español: Defoliante / Português: Defoliante / Français: Défoliant / Italiano: Defogliante
Defoliant in the industrial context refers to a chemical substance used to remove leaves from plants, typically for agricultural, forestry, or military applications. Defoliants are employed to simplify crop harvesting, manage vegetation, or clear land for various industrial purposes.
Deutsch: Bestimmung / Español: Determinación / Português: Determinação / Français: Détermination / Italiano: Determinazione
Determination in the industrial context refers to the process of identifying, measuring, or establishing specific characteristics, parameters, or outcomes related to materials, processes, or products. It often involves analytical methods, testing, or decision-making to ensure compliance with standards and achieve desired performance or quality.
Deutsch: Entsalzung / Español: desalinización / Português: dessalinização / Français: dessalement / Italiano: desalinizzazione
Desalination in the industrial context refers to the process of removing salt and other minerals from seawater or brackish water to produce fresh water suitable for human consumption, agricultural irrigation, or industrial use. It is an essential technology for regions facing water scarcity, enabling them to supplement their freshwater resources.
Deutsch: Drohne / Español: dron / Português: drone / Français: drone / Italiano: drone
A drone in the industrial or industry context is an unmanned aerial vehicle (UAV) used for various operational and logistical purposes within different sectors. These autonomous or remotely operated devices are equipped with cameras, sensors, or other payloads, enabling them to carry out tasks that enhance efficiency, safety, and precision.
Deutsch: Digitalisierung / Español: Digitalización / Português: Digitalização / Français: Digitalisation / Italiano: Digitalizzazione
Digitalization in the industrial context refers to the integration of digital technologies into all areas of industrial operations, fundamentally transforming how businesses operate, produce, and deliver products and services. It involves the use of advanced technologies such as automation, data analytics, artificial intelligence (AI), the Internet of Things (IoT), and cloud computing to improve efficiency, decision-making, and overall competitiveness. Digitalization is a key driver of Industry 4.0, the ongoing fourth industrial revolution, which focuses on smart manufacturing and interconnected systems.
Deutsch: Datenqualität / Español: Calidad de los Datos / Português: Qualidade dos Dados / Français: Qualité des Données / Italiano: Qualità dei Dati
Data Quality in the industrial context refers to the accuracy, completeness, consistency, reliability, and timeliness of data used in industrial processes, decision-making, and operations. High data quality is essential for optimising production, improving efficiency, ensuring regulatory compliance, and enabling data-driven decisions. Poor data quality can lead to incorrect conclusions, operational disruptions, safety risks, and financial losses, making it a critical component of modern industrial operations, especially in sectors like manufacturing, energy, and logistics.
Deutsch: Staubkontrolle / Español: Control de Polvo / Português: Controle de Poeira / Français: Contrôle de la Poussière / Italiano: Controllo della Polvere
Dust Control in the industrial context refers to the methods and technologies used to manage and reduce the release of airborne dust particles generated during industrial operations. Effective dust control is crucial for maintaining workplace safety, protecting worker health, ensuring regulatory compliance, and preventing environmental contamination. Industries such as mining, construction, manufacturing, and agriculture generate significant amounts of dust, which can pose serious risks if not properly controlled.
Deutsch: Datenerfassung / Español: Recolección de Datos / Português: Coleta de Dados / Français: Collecte de Données / Italiano: Raccolta Dati
Data collection in the industrial context refers to the systematic gathering of information from various sources within industrial operations, such as sensors, machines, processes, and personnel, to monitor performance, optimise production, ensure quality, and make informed decisions. This data can include metrics on production efficiency, equipment status, energy consumption, product quality, and more, forming the foundation for analysis, reporting, and continuous improvement.