Systems, apparatus, and methods are disclosed comprising receiving temperature information corresponding to a write temperature of at least one of multiple pages of non-volatile memory cells of a group of non-volatile memory cells, determining a statistical measure of temperature information for the group non-volatile memory cells using the received temperature information, and storing the determined statistical measure of temperature information for the group of non-volatile memory cells. The stored determined statistical measure of temperature information can be used to optimize or improve one or more storage system operations.

This application relates to a method and an apparatus for determining a status of a battery temperature sensor, a medium, a vehicle, and a server. The method includes: receiving reading statistics of a temperature sensor that are collected at intervals of a predetermined time in a stable vehicle working condition, where the reading statistics include a highest temperature reading and a lowest temperature reading of the temperature sensor within each predetermined time; determining a highest temperature reading trend, a lowest temperature reading trend, and a largest temperature reading difference in the stable vehicle working condition based on the highest temperature reading and the lowest temperature reading; and determining a status of the temperature sensor based on the highest temperature reading trend, the lowest temperature reading trend, and the largest temperature reading difference. The method is capable of accurately determining whether a battery temperature sensor is anomalous.

A technique facilitates monitoring of parameters related to a downhole operation, e.g. a water injection operation. A completion string may be deployed in a borehole with at least one water injection mandrel combined with a side pocket. A sensor tool is constructed for conveyance down through the completion string and into sealing engagement with the interior surface of the side pocket. The sensor tool comprises at least one sensor for sensing a desired parameter or parameters, e.g. pressure and/or temperature. Additionally, the sensor tool comprises a nose which is positioned to mechanically open a check valve coupled to the side pocket so as to enable monitoring of the desired parameter or parameters via the at least one sensor.

A system for monitoring the characteristics of a material by measuring electrical properties of a material uses a material monitoring device and a cloud database that relates electrical properties of a material to characteristics of that material. The aging and fermentation processes of wine and other alcohols can be monitored. The status and decomposition of foodstuffs can be monitored. The progress of chemical reactions in a vessel can be monitored. Water quality of water from a water conduit can be monitored. These characteristics can be indicated on a product monitoring device or can be communicated to an external computing device.

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.

Systems and methods for temperature monitoring and environmentally related calculations are disclosed herein. A system according to embodiments herein may include a memory, a network interface, and one or more processors. The system may receive one or more environmental readings from a sensor taking readings at an environmentally controlled area. The system may further determine a timestamp corresponding to each of the one or more readings and calculate, using the one or more readings and their corresponding timestamps, an exposure of a good stored within the temperature controlled area. The system may further determine that the calculated exposure of the good has surpassed a pre-determined exposure threshold for the good and send an electronic message configured to indicate such determination to a user. The system may use a neural network to predict future readings based on current readings and use the predicted future readings in methods described herein.

Systems and methods for temperature monitoring and environmentally related calculations are disclosed herein. A system according to embodiments herein may include a memory, a network interface, and one or more processors. The system may receive one or more environmental readings from a sensor taking readings at an environmentally controlled area. The system may further determine a timestamp corresponding to each of the one or more readings and calculate, using the one or more readings and their corresponding timestamps, an exposure of a good stored within the temperature controlled area. The system may further determine that the calculated exposure of the good has surpassed a pre-determined exposure threshold for the good and send an electronic message configured to indicate such determination to a user. The system may use a neural network to predict future readings based on current readings and use the predicted future readings in methods described herein.

A set of temperature measurements corresponding to a set of memory dies of a memory sub-system is collected. The set of temperature measurements includes a temperature measurement determined for each memory die of the set of memory dies. A determination is made whether a first temperature measurement of the set of temperature measurements satisfies a first condition. It is determined whether a temperature variation of the set of temperature measurements satisfies a second condition. In response to a determination that the first temperature measurement satisfies the first condition or the temperature variation satisfies the second condition, a temperature related event is logged. A message is sent to a host system indicating the temperature related event.

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.