Web/Cloud platform and integrated IoT monitoring and data intelligence systems for laboratory management of projects, experiments, supplies and equipment.

• Grant number: 24/06778-8
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: June 01, 2025
• End date: February 28, 2026
• Field of knowledge: Engineering - Biomedical Engineering
• Principal Investigator: João Paulo de Castro Rios
• Grantee: João Paulo de Castro Rios
• Company: LAB2LAB COMERCIO DE PRODUTOS PARA LABORATORIOS LTDA
• CNAE: Comércio atacadista de instrumentos e materiais para uso médico, cirúrgico, ortopédico e odontológico ; Comércio atacadista de máquinas, aparelhos e equipamentos para uso odonto-médico-hospitalar; partes e peças ; Fotocópias, preparação de documentos e outros serviços especializados de apoio administrativo
• City: Campinas
• Pesquisadores principais: Vagner Rogério dos Santos
• Associated researchers: Virgílio Gustavo da Silva

Abstract

Biochemical research depends on various high-cost inputs and equipment for analysis, refrigeration and development of experiments and cultures (Ex: cells, microorganisms, antibodies). These, often shared, represent high financial investments in terms of cost and research time. Even if they are stored or used in an ideal way, they remain susceptible to environmental and systemic failures such as lack of electricity, malfunctions, forgetfulness and delays in delivery by suppliers that cause, in addition to significant delays, significant losses in scientific terms, economic and financial.Considering these factors, our main objective is to reduce researchers' concerns and losses of research, inputs, equipment and experiments, mitigating risks through advanced monitoring, scheduled and real-time notifications and integrated information and communication systems with their colleagues, its institutions and its suppliers, reducing manual effort for the management and accountability of research projects, equipment, inputs and resources so that research teams can focus on what really matters: their research and its results.To this end, we will develop IoT devices to monitor equipment regarding its use, operation, predictability of need for maintenance, consumption and stock control, integrated with Web/Cloud systems for storage, visualization, retrieval, proactive, predictive analysis and data intelligence, also generating scheduled and real-time notifications and reports for mobile devices (smartphones). (AU)