It also includes the Advanced Master Clock (AMC) module, which handles input and output clock signals for synchronizing an APx with external equipment (or vice versa). The APx ADIO module enables the generation of advanced impairments for sophisticated test of devices via AES/SPDIF/TOSLINK. Provides AES3, AES/EBU balanced digital I/O on XLR unbalanced SPDIF digital I/O on BNC and TOSLINK optical digital I/O. The BW52 ultra-high bandwidth option offers advanced FFT performance: 1.248 million points, DC to 1 MHz bandwidth and full 24-bit resolution. The AG52 generates DIM 100, 30, and B square + sine waveforms and maximum output level is increased from 21.21Vrms to 26.66 Vrms (balanced). It enables the Salesforce business users to take full advantage of IIoT data in the customer’s service context without worrying about the scalability and maintainability of IIoT data processing logic.Developed for power amp designers, the AG52 analog generator option generates exceptionally clean square waves with a rise time better than 2 microseconds and has an improved THD+N of -110 dB (typical). The Waylay Digital Twin App crosses the divide between the AWS IoT services and the Salesforce Service Cloud and Field Service eco-system. And the best of it: the business user does not need any IT development effort to do this. The latter can focus on creating the best AI/ML algorithms, while the former can use the output of these algorithms to apply them in the support and maintenance context of the customer’s contract. In short, Waylay Digital Twin supports a scalable and sustainable collaboration model between the business user and the data scientist. The business user can create alarming rules when, e.g., predictions deviate too much from the actual measurements.The business user can view the current and past AI/ML predictions from within the business context of the asset.Modeling these AI/ML algorithms brings the following benefits to the business user: SageMaker predictions in Waylay Digital Twin Modeling these AI/ML algorithms as if they were ‘virtual sensor’ child assets of the physical asset can also be done with Waylay Digital Twin. Waylay Digital Twin allows the Admin to configure the Waylay Engine to listen to these prediction messages. If the AI/ML algorithm is also hosted as a microservice on AWS Sagemaker, this microservice can post its predictions on an AWS SNS or AWS Kinesis pub/sub topic. (Retail) Smart cameras detecting shelves with out-of-stock goods. (Utilities) Predict & identify future component failure by classification of sensor readings. Pattern detection to generate low-level alarms.(Manufacturing) unsupervised anomaly detection of temperature outliers indicates an unbalanced production process. (Building Management) forecast the future energy consumption and energy cost of a building. Parameter value predictions based on history.A data science team can build these algorithms, and the business user can use the output in the Salesforce context using the Waylay Digital Twin App. The Waylay Engine can also host pre-trained machine learning algorithms (Python, Tensorflow, …) or use AWS Sagemaker hosted AI/ML algorithms that process AWS IIoT data.
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