A method and apparatus for automatically measuring and storing a various measured values of an item, or a sequence of measured values of one or more item(s) suitable for single-handed use by a user. In particular, the present invention relates to a mobile computing device with one or more sensors for determining when to measure and record a particular value of one or more items. The mobile computing device may automatically measure the values based on sensing a change in the temperature value or through using proximity as detected by one or more onboard sensors. Additionally, the mobile computing device may automatically measure the values based on coming within range of an external proximity device. In response to automatically measuring the values, the measured values are stored along with additional information for record keeping purposes.

A method and apparatus for automatically measuring and storing a various measured values of an item, or a sequence of measured values of one or more item(s) suitable for single-handed use by a user. In particular, the present invention relates to a mobile computing device with one or more sensors for determining when to measure and record a particular value of one or more items. The mobile computing device may automatically measure the values based on sensing a change in the temperature value or through using proximity as detected by one or more onboard sensors. Additionally, the mobile computing device may automatically measure the values based on coming within range of an external proximity device. In response to automatically measuring the values, the measured values are stored along with additional information for record keeping purposes.

The described technology is generally directed towards a sensor output digitizer. The sensor output digitizer can comprise a multiplexer stage, a multi-stage analog to digital converter, and a digital output combiner. The multiplexer stage can be configured to sequentially select sensor outputs from one or more sensors, resulting in a stream of selected sensor outputs. The multi-stage analog to digital converter can be coupled with the multiplexer stage, and can be configured to convert the stream of selected sensor outputs into a stream of digitized outputs. The digital output combiner can be configured to re-scale and sum intermediate outputs of the multi-stage analog to digital converter to produce a stream of digitized sensor outputs.

The described technology is generally directed towards a sensor output digitizer. The sensor output digitizer can comprise a multiplexer stage, a multi-stage analog to digital converter, and a digital output combiner. The multiplexer stage can be configured to sequentially select sensor outputs from one or more sensors, resulting in a stream of selected sensor outputs. The multi-stage analog to digital converter can be coupled with the multiplexer stage, and can be configured to convert the stream of selected sensor outputs into a stream of digitized outputs. The digital output combiner can be configured to re-scale and sum intermediate outputs of the multi-stage analog to digital converter to produce a stream of digitized sensor outputs.

A sensor hub includes a bit packer that receives sensor data from a plurality of sensors and bit packs the sensor data so that the sensor ID, time stamp and each axis of the measured data is stored contiguously. The bit packer may compress the sensor data by removing the sensor ID and/or the time stamp in the sensor data. The bit packed sensor data is stored in batching memory. A bit unpacker receives the sensor data from the batching memory and unpacks the sensor data, e.g., so that the sensor ID, time stamp and each axis of the measured data is stored in its own word. Additionally, the bit unpacker may decompress the bit packed sensor data by reinserting the sensor ID and/or time stamp in the sensor data.

A sensor hub includes a bit packer that receives sensor data from a plurality of sensors and bit packs the sensor data so that the sensor ID, time stamp and each axis of the measured data is stored contiguously. The bit packer may compress the sensor data by removing the sensor ID and/or the time stamp in the sensor data. The bit packed sensor data is stored in batching memory. A bit unpacker receives the sensor data from the batching memory and unpacks the sensor data, e.g., so that the sensor ID, time stamp and each axis of the measured data is stored in its own word. Additionally, the bit unpacker may decompress the bit packed sensor data by reinserting the sensor ID and/or time stamp in the sensor data.

Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of constructing a composite machine-learning (ML) model for facilities infrastructure from facilities infrastructure data; training the composite ML model with historical availability data, historical performance data, and historical error rates, wherein the composite ML model yields quality of the facilities infrastructure; receiving a query of a facility in an area from a user; predicting a quality of the facility based on recent facilities data using the composite ML model; and providing the quality of the facility responsive to the query. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of constructing a composite machine-learning (ML) model for facilities infrastructure from facilities infrastructure data; training the composite ML model with historical availability data, historical performance data, and historical error rates, wherein the composite ML model yields quality of the facilities infrastructure; receiving a query of a facility in an area from a user; predicting a quality of the facility based on recent facilities data using the composite ML model; and providing the quality of the facility responsive to the query. Other embodiments are disclosed.

A system for operating a physical measuring chain includes a plurality of physical measuring components at a measuring location. Each of the physical measuring components includes at least one physical sensor, at least one physical transmission means and at least one physical evaluation unit. An identification code is detected of each physical measuring component, and a data network transmits detected identification codes to a data processing unit located remote from the measuring location. The data processing unit includes at least one software and measuring component data. The software reads out measuring component data for transmitted identification codes and thereby generates a digital measuring chain including at least one digital sensor, at least one digital transmission means and at least one digital evaluation unit and the data network transmits the digital measuring chain to a computer unit at the measuring location.

A system for operating a physical measuring chain includes a plurality of physical measuring components at a measuring location. Each of the physical measuring components includes at least one physical sensor, at least one physical transmission means and at least one physical evaluation unit. An identification code is detected of each physical measuring component, and a data network transmits detected identification codes to a data processing unit located remote from the measuring location. The data processing unit includes at least one software and measuring component data. The software reads out measuring component data for transmitted identification codes and thereby generates a digital measuring chain including at least one digital sensor, at least one digital transmission means and at least one digital evaluation unit and the data network transmits the digital measuring chain to a computer unit at the measuring location.