Memory gauge and method for processing recorded raw data acquired with a memory gauge in a well. The method includes selecting a first calibration table (C.sub.1), of the memory gauge, that has a highest calibration value for the measured parameter; performing a first analysis of the recorded raw data using the first calibration table (C.sub.1) to determine a highest measured value of the measured parameter; comparing the highest measured value of the measured parameter with highest calibration values of the plural calibration tables of the memory gauge; and when a highest calibration value of a second calibration table is closer to the highest measured value of the measured parameter than the highest calibration value of the first calibration table, selecting the second calibration table (C.sub.2); and performing a second analysis of the recorded raw data using the second calibration table (C.sub.2) to generate measured values of the measured parameter.

A data logger for logging values of a physical environment parameter as a function of time includes a sampling subsystem which acquires a sequence of sample values of the physical environment parameter at sampling moments which are separated by sample intervals, an encoding subsystem which converts the sequence of sample values in data records including a representative value representing groups of one sample value or a number of successive sample values with variations which meet a stability criterion and information representative of the lengths of the groups, a memory subsystem which stores a sequence of defined data, and the data logger is arranged to determine in which range of a plurality of ranges a sample of the environment parameter is located, and to use a stability criterion for the encoding which depends on the determined range.

A data logger for logging values of a physical environment parameter as a function of time includes a sampling subsystem which acquires a sequence of sample values of the physical environment parameter at sampling moments which are separated by sample intervals, an encoding subsystem which converts the sequence of sample values in data records including a representative value representing groups of one sample value or a number of successive sample values with variations which meet a stability criterion and information representative of the lengths of the groups, a memory subsystem which stores a sequence of defined data, and the data logger is arranged to determine in which range of a plurality of ranges a sample of the environment parameter is located, and to use a stability criterion for the encoding which depends on the determined range.

Embodiments for assessing energy in a thermal energy fluid transfer system in a cloud computing environment by a processor. Behavior of the thermal energy fluid transfer system, associated with a heating service, a cooling service, or a combination thereof, may be learned according to collected data to identify one or more energy usage events. An energy usage assessment operation may be performed using temperature signal disambiguation operations, with data collected over a selected time period by one or more non-intrusive Internet of Things (IoT) sensors located at one or more selected positions in the thermal energy fluid transfer system, to learn the system performance indicators, and when coupled with ingested expected policy behavior, identify one or more energy usage waste events according to the learned behavior in real time.

Disclosed are a repair adjusting system for thermal-assisted in-situ chemical oxidation and an adjusting method. The repair adjusting system for thermal-assisted in-situ chemical oxidation comprises a chemical oxidation adjusting system and a controller, the chemical oxidation adjusting system is provided with a temperature monitor, a magnetic oxidant concentration monitor, a pollutant concentration monitor and a reaction control device, the controller is respectively connected with the temperature monitor, the magnetic oxidant concentration monitor, the pollutant concentration monitor and the reaction control device, and the controller controls an oxidation process of the chemical oxidation adjusting system through the reaction control device according to output data of the temperature monitor, the magnetic oxidant concentration monitor and the pollutant concentration monitor.

Disclosed are a repair adjusting system for thermal-assisted in-situ chemical oxidation and an adjusting method. The repair adjusting system for thermal-assisted in-situ chemical oxidation comprises a chemical oxidation adjusting system and a controller, the chemical oxidation adjusting system is provided with a temperature monitor, a magnetic oxidant concentration monitor, a pollutant concentration monitor and a reaction control device, the controller is respectively connected with the temperature monitor, the magnetic oxidant concentration monitor, the pollutant concentration monitor and the reaction control device, and the controller controls an oxidation process of the chemical oxidation adjusting system through the reaction control device according to output data of the temperature monitor, the magnetic oxidant concentration monitor and the pollutant concentration monitor.

A computer-implemented method for food safety mapping. The method includes acquiring, via a wireless receiver, an encoded unique identifier from a label positioned proximate to a food item. The encoded unique identifier is saved in a food item record of a database. Current food temperature data for the food item is acquired via a temperature sensor and saved in the food item record.

A computer-implemented method for food safety mapping. The method includes acquiring, via a wireless receiver, an encoded unique identifier from a label positioned proximate to a food item. The encoded unique identifier is saved in a food item record of a database. Current food temperature data for the food item is acquired via a temperature sensor and saved in the food item record.

Exemplary embodiments are disclosed of systems and methods for quality monitoring of pallets of goods (e.g., fresh seafood, other perishable goods, nonperishable goods, etc.) in a cargo.

Temperature measurements are critical in gas turbine engine design but difficult to obtain due to the extreme environment. Temperature indicating paints (thermal paints) have been used for decades to map maximum temperature fields on superalloy components but have numerous weaknesses. Disclosed herein are novel glass ceramic thermal paints that undergo viscous flow sintering to indicate temperatures up to 1000° C., with high resolution (±5° C.), by an optical transition. Disclosed paint formulations are designed to adhere to Nickel-based superalloys or SiC—SiC ceramic matrix composites (CMC) by closely matching coefficients of thermal expansion and may function for times above 60 hours. By utilizing automation and a UV:VIS spectrometer, quantitative temperature maps can be generated for easy comparison to theoretical models. A transient sintering energy model is disclosed to recover full thermal history information.