Helix IoT in Manufacturing
Predictive maintenance, supply chain optimization, quality control, real-time monitoring, smart factory concepts, energy efficiency, data-driven insights, worker safety, and operational efficiencies in manufacturing have all been improved by IoT innovations. These IoT enabled enhancements improve productivity, enhance product quality, reduce costs, and drive continued innovations in the manufacturing industry.
World's Top Companies Rely on Our Trusted IoT Solutions
How does Helix connect manufacturers?
Helix provides customized connectivity solutions with expansive network coverage that are scalable and secure. Delivering reliable and secure connectivity facilitates the real-time monitoring and control of manufacturing operations, optimizing processes, and enhancing operational efficiency.
Expansive Network Coverage
The Helix SmartSIM™ leverages partnerships with multiple network operators in a single location, providing expansive network coverage in both urban and remote areas. This ensures that manufacturing facilities, production lines, and warehouses have reliable connectivity, regardless of their location.
Scalability
Helix provides the flexibility to easily scale up connectivity resources. Customizable data plans and connectivity options can be adjusted to accommodate changing requirements allowing manufacturers to optimize their connectivity, manage costs effectively, and adapt to evolving needs.
Simplified Operations
SOLO is a centralized SIM Management platform that was built to allow the monitoring and control of IoT devices, data usage, and connectivity status. Manufacturing companies can access real-time data, track device status, and optimize connectivity resources from a single interface, enhancing operational efficiency and simplifying deployments.
Security & Compliance
Helix prioritizes security and compliance in all of our connectivity solutions. Robust security measures protect IoT devices, data transmission, and communication, ensuring the integrity, confidentiality, and privacy of sensitive data that is transmitted over cellular networks.
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Benefits of IoT in Manufacturing
Not every SIM is a SmartSIM™
700+
Cellular global networks
190+
Countries
1
Global SIM
SmartSIM™
Connect any device, anywhere, with one global SIM.
One Global Platform
Manage your entire IoT deployment through a single pane of glass with our comprehensive SIM management platform.
One IoT Connectivity Partner
Seamlessly connect any device to a local network in any country without having to manage multiple carrier relationships.
IoT Solutions in Manufacturing
Predictive Maintenance
By integrating sensors into manufacturing equipment, real-time data on performance, temperature, vibration, and other parameters can be collected. Through the utilization of predictive analytics, manufacturers can analyze this data, identify patterns, and accurately predict equipment failures or maintenance requirements. Implementing predictive maintenance strategies based on these insights allows for optimized maintenance schedules, minimized downtime, and improved overall equipment effectiveness (OEE).
Smart Manufacturing
Connected devices, machines, and systems exchange data and communicate with each other to streamline operations, enhance productivity, and enable real-time decision-making. This includes machine-to-machine (M2M) communication, process automation, and data analytics for continuous improvement.
Quality Control
During the manufacturing process, connected sensors gather data to identify any anomalies or deviations from the expected quality standards. This data-driven quality control approach empowers manufacturers to detect potential issues at an early stage, effectively reduce defects, and enhance product consistency and reliability.
Worker Safety
Wearable devices equipped with sensors can monitor environmental conditions, detect hazardous situations, and alert workers and supervisors in case of emergencies. Real-time monitoring helps prevent accidents, minimize workplace hazards, and promote worker well-being.
Predictive Maintenance
By integrating sensors into manufacturing equipment, real-time data on performance, temperature, vibration, and other parameters can be collected. Through the utilization of predictive analytics, manufacturers can analyze this data, identify patterns, and accurately predict equipment failures or maintenance requirements. Implementing predictive maintenance strategies based on these insights allows for optimized maintenance schedules, minimized downtime, and improved overall equipment effectiveness (OEE).
Smart Manufacturing
Connected devices, machines, and systems exchange data and communicate with each other to streamline operations, enhance productivity, and enable real-time decision-making. This includes machine-to-machine (M2M) communication, process automation, and data analytics for continuous improvement.
Quality Control
During the manufacturing process, connected sensors gather data to identify any anomalies or deviations from the expected quality standards. This data-driven quality control approach empowers manufacturers to detect potential issues at an early stage, effectively reduce defects, and enhance product consistency and reliability.
Worker Safety
Wearable devices equipped with sensors can monitor environmental conditions, detect hazardous situations, and alert workers and supervisors in case of emergencies. Real-time monitoring helps prevent accidents, minimize workplace hazards, and promote worker well-being.
Predictive Maintenance
By integrating sensors into manufacturing equipment, real-time data on performance, temperature, vibration, and other parameters can be collected. Through the utilization of predictive analytics, manufacturers can analyze this data, identify patterns, and accurately predict equipment failures or maintenance requirements. Implementing predictive maintenance strategies based on these insights allows for optimized maintenance schedules, minimized downtime, and improved overall equipment effectiveness (OEE).
Smart Manufacturing
Connected devices, machines, and systems exchange data and communicate with each other to streamline operations, enhance productivity, and enable real-time decision-making. This includes machine-to-machine (M2M) communication, process automation, and data analytics for continuous improvement.
Quality Control
During the manufacturing process, connected sensors gather data to identify any anomalies or deviations from the expected quality standards. This data-driven quality control approach empowers manufacturers to detect potential issues at an early stage, effectively reduce defects, and enhance product consistency and reliability.
Worker Safety
Wearable devices equipped with sensors can monitor environmental conditions, detect hazardous situations, and alert workers and supervisors in case of emergencies. Real-time monitoring helps prevent accidents, minimize workplace hazards, and promote worker well-being.
How we benefit other industries
Construction
Real-time monitoring of sites, equipment, and worker safety enhances efficiency and reduces risks. Construction companies can optimize resource allocation, automate processes, and improve decision-making, leading to improved productivity, streamlined workflows, and timely project completion.
Healthcare
IoT has revolutionized patient care. IoT devices and wearables provide healthcare professionals with valuable insights, facilitate early detection of health issues, and enable personalized treatment plans, ultimately enhancing patient engagement and enabling proactive healthcare management.
Manufacturing
Smart factories automate processes, improving efficiency, product quality, and uptime. IoT devices, sensors, and analytics enable real-time insights, predictive maintenance, and optimized supply chain management, empowering manufacturers with data-driven decision-making and increased productivity.
Retail
Enhance customer experiences with personalized shopping environments like smart shelves, mirrors, and digital signage. IoT innovations enable inventory management, supply chain optimization, and real-time analytics, enhancing operational efficiency, stock optimization, and seamless omnichannel experiences.
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