哪些行业在加速利用 IIoT 机遇?
如何应用 IIoT 以产生业务结果?
Design products, software, systems and systems of systems for connectivity.
Integrate CAD, PLM, product data into AR or VR experiences to enable design reviews with dispersed teams for real-time collaboration.
Digitally represent a manufactured product that is connected to the physical counterpart so as to analyze real world usage data and configurations for future sales, recalls, or product update opportunities.
Collect and monitor data from multiple, diverse design systems to deliver real time insights.
Manufacturing Use Case:
Collect data from multiple, diverse systems and assets to create a dashboard that monitors a manufacturing process and delivers real time insights.
Manufacturing Use Case:
Collect operational asset information (sensor readings, service history, environmental conditions) and use analytical models to predict when an asset will be ready for maintenance vs. a reactive (break fix) maintenance approach.
Manufacturing Use Case:
Monitor and track factory asset health and performance, and deploy machine learning to assess non-standard activity based on known patterns (anomaly detection), so as to deliver insights via unified real-time visibility of KPIs.
Manufacturing Use Case:
Monitor product quality in real-time with notifications or alerts for anomalies.
Manufacturing Use Case:
Monitor inventory so as to optimize logistics, maintain inventory levels, prevent quality issues, detect theft, etc.
Manufacturing Use Case:
Deliver digital content (i.e., work instruction, manufacturing processes, work instructions, safety procedures) via 3D or augmented reality in order to improve training, quality validation, maintenance execution, and operations monitoring.
Manufacturing Use Case:
Monitor and track the operating conditions and environment on the factory floor, so as to identify human and asset safety concerns/hazards. Deliver real-time insights, warnings, and remedial instructions, potentially via AR experiences.
Sales & Marketing Use Case:
Integrate product usage and performance data to enable usage, performance, or outcome based pricing and subscription models that create disruptive business models, and increase value captured and market penetration opportunities.
Sales & Marketing Use Case:
Analyze usage and condition data across products and customers to trigger automated cross-sell and up-sell alerts and identify opportunities for new market segments, products, or services which align to customer needs.
Sales & Marketing Use Case:
Connect and analyze product usage and consumable data to create inventory-based consumable resupply models which enhance the customer's experience and create new revenue streams.
Service Use Case:
Track products remotely by location, performance, utilization, and condition to monitor, troubleshoot, and diagnose issues.
Service Use Case:
Real-time monitoring of equipment and machinery for onsite preventative maintenance and repair of operational assets.
Service Use Case:
Expand real-time product and asset monitoring with embedded diagnostics to enable remote access, remote service of assets including bi-directional file transfer or remote software updates.
Service Use Case:
Collect service product information (sensor readings, service history, environmental conditions) and use analytical models to predict when a machine will be ready for service vs. a reactive (break fix) service approach.
Service Use Case:
Create a service dashboard to deliver real time service insights by collecting data from multiple, diverse systems.
Operations Use Case:
Monitor and track health and performance of operational assets (mobile or fixed), and deploy machine learning to assess non-standard activity based on known patters (anomaly detection), so as to deliver insights via unified real-time visibility of KPIs.
Operations Use Case:
Collect data from multiple, diverse systems and assets to create a dashboard that monitors an operational process and delivers real-time insights.
Operations Use Case:
Create a dashboard to collect data from multiple, diverse systems and deliver real time operational insights.
Operations Use Case:
Collect operational asset information (sensor readings, service history, environmental conditions) and use analytical models to predict when an asset will be ready for maintenance vs. a reactive (break fix) maintenance approach.
Operations Use Case:
Monitor inventory so as to optimize logistics, maintain inventory levels, prevent quality issues, detect theft, etc.
Operations Use Case:
Monitor and track the operating conditions and environment in/around an operations process, so as to identify human and asset safety concerns/hazards. Deliver real-time insights, warnings and remedial instructions, potentially via AR experiences.
Customer Use Case:
Enable customers to remotely control and optimize their products and assets to reduce operational costs, mitigate safety risks, improve business processes, and increase employee and customer satisfaction.
Customer Use Case:
Customers remotely add or remove features, integrate with other applications, change operating parameters to enhance their experience or product performance.
Customer Use Case:
Customers monitor and analyze the usage and condition of products or benchmark with anonymized peers to uncover opportunities for improvement.
Customer Use Case:
Customers diagnose and resolve issues themselves via AR experiences or connected applications to maximize product availability and uptime and improve customer satisfaction.
企业专注于通过 IIoT 先增强哪些角色和用户?
IIoT 技术在何处托管和部署?
企业预计他们的 IIoT 试用将在何时过渡到生产?
IIoT 解决方案利用哪些数据源?
想要了解工业物联网(IIoT)如何推动实现业务的数字化转型?探索 ThingWorx IIoT 平台、阅读 PTC 客户案例研究并浏览我们的合作伙伴网络。