A process control system for controlling an industrial process includes a cloud-computing dependent (C.sup.2D) radar level gauge or ultrasonic flow meter (C.sup.2D sensor device) including a sensor, transducer, communications unit, with limited hardware/software incapable of calculating an accurate level calculation or high accuracy gas flow rate. A bus couples the sensed data from the C.sup.2D sensor device to an IP communications unit that outputs IP protocol data. The cloud computing system is coupled by an IP network to receive the IP protocol data and includes a processor executing advanced data processing algorithms which provides a second part of the C.sup.2D sensor device including processing the IP data to generate a remote computational result including the accurate level calculation/high accuracy gas flow rate. The cloud computing system feeds back the remote computational result to a process controller coupled to an actuator that controls processing equipment for automatically tuning the industrial process.

A process control system for controlling an industrial process includes a cloud-computing dependent (C.sup.2D) radar level gauge or ultrasonic flow meter (C.sup.2D sensor device) including a sensor, transducer, communications unit, with limited hardware/software incapable of calculating an accurate level calculation or high accuracy gas flow rate. A bus couples the sensed data from the C.sup.2D sensor device to an IP communications unit that outputs IP protocol data. The cloud computing system is coupled by an IP network to receive the IP protocol data and includes a processor executing advanced data processing algorithms which provides a second part of the C.sup.2D sensor device including processing the IP data to generate a remote computational result including the accurate level calculation/high accuracy gas flow rate. The cloud computing system feeds back the remote computational result to a process controller coupled to an actuator that controls processing equipment for automatically tuning the industrial process.

A method for detecting a production error of an assembly in a manufacturing facility includes (i) providing sensor data having at least two dimensions, wherein a respective dimension of the sensor data comprises measurement data with respect to the assembly, (ii) performing a dimensional reduction of the sensor data, wherein at least one feature is extracted based on the at least two dimensions of the sensor data, (iii) reconstructing the dimension-reduced sensor data based on the at least one extracted feature to provide reconstructed sensor data, (iv) determining a reconstruction error based on a comparison of the sensor data with the reconstructed sensor data, and (v) detecting the production error of the assembly based on the determined reconstruction error. Also disclosed is a computer program, a device, and a storage medium for this purpose.