Siemens is a global technology powerhouse for more than 165 years, operating in more than 200 countries, focusing on the areas of electrification, automation and digitalisation. Siemens has launched a revolutionary technology: Mindsphere – a cloud-based, open Industrial IoT (IIoT) platform, that connects your products, plants, systems and machines, enabling you to harness the wealth of data generated by the Internet of Things (IoT) with advanced analytics.
Inteliment accelerates your IIoT & Digitisation initiatives with MindSphere. We offer a wide range of device and enterprise system connectivity protocol options, industry applications, advanced analytics and an innovative development environment that utilises both Siemens’ open Platform-as-a-Service (PaaS) capabilities along with access to AWS cloud services.
Siemens centre of excellence
Inteliment engages in co-innovation with Siemens and develops innovative IIoT Solutions – MindApps and digital services for its customers and global enterprises for MindSphere Core Platform and Cloud Gateway MindConnect Nano.
IoT data platform: Enabling secure data ingestion, management, and syndication. Enabling multi-tenant application and analytics platform and exploratory data science.
IoT connect: Enabling devices to sense, communicate, network and produce information and communications between device, gateway, connectivity, security and cloud.
MindApps: Enabling customer-defined business application or micro-service. Enterprise integration and enabling analytical models to generate business insights. Integration of IoT apps with the rest of the IT landscape.
IoT Analytics: Data pattern and performance analysis. Measuring accuracy of data models. Data cleaning and report generation.
MindApp APIs and Features
Calculates a linear regression of time series data and delivers the resulting curve data.
Detects the gradient of time series and delivers the results.
Detects outlying time series data and delivers the results.
Provides calculus on individual or multiple 1d time series, including basic algebra and statistics (mean, sum, variance).
Sequential Pattern Mining
Detect alarm patterns and predict failures from event logs and learns patterns automatically from sequences.
Multidimensional KPI Supervision
Based on trained models, this service derives quantitative measures from multiple aspects.
Executor for prediction models based on deep neural networks (pretrained) for time-series data.
Read, write and edit timeseries values from storage.
Add custom information like alarms or warnings in generic ways.
Send information to your users and customers via email, sms or social media channels like twitter.
Create custom rules based on events and define your action based on this information.
Represents physical assets from your site in MindSphere. Creates, edits and deletes elements.