Site assessment
Features of ProdSphere
Enhanced Production Line Monitoring
Gain real-time insights into your production processes, identify bottlenecks, and optimize performance for improved productivity.
Reduced Downtime
Proactively detect and address issues to minimize downtime and maximize uptime, ensuring uninterrupted production.
Optimized Resource Allocation
Make data-driven decisions for efficient resource allocation, reducing waste and optimizing utilization.
Proactive Maintenance
Implement predictive maintenance strategies based on machine learning algorithms, minimizing equipment failures and optimizing maintenance schedules.
Factory performance monitoring and predictive analytics
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Live, interactive dashboard with KPI graph for each factory
Monitor performance of each production lines
Collect data and improve operations with machine learning
Data stream processing for predictive maintenance analysis
Predict machine failure & efficiency degradation
Predictive modeling for effective maintenance scheduling
NLP to derive requested reports quickly
Anomaly diagnosis and precisions
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ML algorithms modeled for making the most accurate predictions of failures
Detect the misuses of a system or suspicious events
Instant notifications on mobile devices to immediately act and resolve the issues
Self-learning algorithms that continually improve production line efficiency
Power-packed with ML and AI capabilities
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Demand forecasting and capacity planning
Detect unexpected equipment failures symptoms
Suggest supply chain bottlenecks
Predictive maintenance with advanced algorithms
Digital twin to regulate production
Real-time demand visibility
Monitor the metrics that matter the most
Centralized Live Dashboard
Access a centralized dashboard that provides a holistic view of your shop floor, facilitating effective monitoring and management.
AI and IoT Integration
Harness the power of AI and IoT technologies to optimize production processes, identify inefficiencies, and enhance productivity.
Highly Trained Machine Learning Algorithms
Benefit from advanced machine learning algorithms that enable predictive maintenance, resource optimization, and process automation.
Comprehensive Industrial Automation Capabilities
Streamline your manufacturing operations with comprehensive automation features, reducing manual intervention and improving efficiency.
Steps to implement ProdSphere solution
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Data point analysis and hardware kit finalization
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Onboarding
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Value realization
Frequently Asked Questions
It depends on the readiness of your infrastructure and the business use case. However, if you are already collecting and storing data in any way, it would not take much time for set up and installation. In case you have any specific customization requirements for dashboard and reports, then it may affect the timeline.
Yes, of course. We just need to assess your infrastructure and identify data points so that our technical team can guide you further. We will then integrate your current machines and help you make sense of your data. During the assessment, our technical team will identify machines which are smart, semi-smart, and dumb. Smart machines can be connected directly to the cloud. Semi-smart machines can provide a few data points directly to cloud and require external sensors/actuators in order to send any other data points. Dumb devices cannot provide any data and require external sensors/actuators to connect and send particular data to the cloud.
Yes. Our engineers will visit your facility to get a full understanding of your infrastructure and identify the solution on how to make your machines or assets IoT enabled. In case of totally dumb devices, we can always set up an internet connection using external sensors and actuators.
Yes, Smart Factory can be implemented with the existing third-party cloud service provider. In this scenario, solution will collect the data from the third-party cloud storage and store it to IoT cloud. The solution will then use the data from the IoT cloud only.
The security of your data is paramount to us. All communication is secured with SSL and TLS protocols to ensure secured device management and connectivity management. Solution uses OAuth2 authentication which will enable third-party applications to access the user accounts on an HTTP service.
It depends upon the use case. To discuss further, please contact at info@anandcontrols.com
Yes. The solution allows user to add multiple factories situated at different locations. Each factory can be divided into particular floors, production lines, stages/processes. Users can always view the generic dashboard along with the combined KPI values or the individual KPI values for each factory. We can customize the dashboard/reports as per your requirements.