Inovação no setor de mineração de ferro em Minas Gerais com foco na destinação de rejeitos
Notice bibliographique
Résumé
The iron mining sector is fundamental to the economy of Minas Gerais, and the generation of huge amounts of tailings is a relevant environmental problem for the state. Understanding and structuring an innovation system to develop technological innovations for the disposal of these tailings is currently an extremely relevant topic. In this thesis, three topics related to tailings generated in iron mining were studied: (i) the existing innovation system in Minas Gerais with a focus on the destination of these tailings; (ii) the different technologies and applications existing in the scientific and patent literature for these wastes; and (iii) collaborative innovation platforms focused on the destination of these tailings with the case of Platform R3. Chapter 1 presents the theoretical framework on innovation systems. Chapter 2 describes the regional innovation system in mining activity in the Quadrilátero Ferrífero based on research in the specialized literature on regional innovation systems, sectoral analyzes, production chain, innovation in the mining area. It was also carried out a series of semi-structured interviews with different actors in the activity's production chain mineral, as employees of mining companies and companies that supply products and services and technical consultants. The results obtained indicate that mining in Minas Gerais has many important characteristics for the development of a robust Regional Innovation System. The mapping showed that there is a great concentration of the market, with one of the companies having almost 80% of the national production, with global operations. On the other hand, there is a diversity in the organizations of the Regional Innovation System, such as universities and public and private research centers, active development agencies, in addition to technical associations, unions and other organizations. The work also confirmed the great relevance in innovation of equipment and service suppliers in the mining chain, being the main patent filing agents in the sector. Another relevant aspect observed was the lack of public policies to stimulate innovation in the mining sector that could lead to the use of the tailings generated by mining as a second-generation raw material for other production chains. In Chapter 3, the generation of iron mining tailings in the world is described and the composition of these tailings with mapping through scientific articles and patents of more than 20 technologies for the transformation of mining tailings into products, in addition to presenting some real application examples. Mappings in the INPI, Worldwide Spacenet, USTPO, CIPO, APO banks showed that close to 61% of patents are for reprocessing, 29% for civil construction / paving and 10% for technological applications. The text also addresses a preliminary analysis of the path of these technologies to the market and evaluates two types of barriers: technological and market. Chapter 4 describes and evaluates the collaborative R3 Mineral Platform created to generate innovations for the disposal of iron mining tailings, which was an unprecedented movement in Minas Gerais in which different actors related to the mining chain participated. The text compares Platform R3 to two other international platforms, i.e. AMIRA in Australia and CEMI in Canada. For the R3 Mineral Platform, it is necessary to stablish a governance model and improve internal and external communication, and attract new participants, specially suppliers from the mineral extraction chain and associations representing the mineral sector. Chapter 5 presents the conclusions and contributions for future studies.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».