Patent classifications
G01K3/08
ABNORMAL CONDITION DETECTION BASED ON TEMPERATURE MONITORING OF MEMORY DIES OF A MEMORY SUB-SYSTEM
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.
ABNORMAL CONDITION DETECTION BASED ON TEMPERATURE MONITORING OF MEMORY DIES OF A MEMORY SUB-SYSTEM
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.
WARMING SYSTEM WITH SENSOR
An air hose includes a corrugated flexible hose. The air hose also includes a first hose end section mechanically coupled to the corrugated flexible hose. The first hose end section includes a pressure sensor communicatively coupled to a warming unit. The first hose end section is configured to releasably couple to a pneumatic convective device. The air hose also includes a second hose end section mechanically coupled to the corrugated flexible hose. The second hose end section is configured to couple to the warming unit.
WARMING SYSTEM WITH SENSOR
An air hose includes a corrugated flexible hose. The air hose also includes a first hose end section mechanically coupled to the corrugated flexible hose. The first hose end section includes a pressure sensor communicatively coupled to a warming unit. The first hose end section is configured to releasably couple to a pneumatic convective device. The air hose also includes a second hose end section mechanically coupled to the corrugated flexible hose. The second hose end section is configured to couple to the warming unit.
THERMAL REGION TAGS AND THERMAL REGION OUTLIER DETECTION
A method, device, and system for improving read performance in frequently changing device temperature conditions through detecting thermal region tags and thermal region outliers in a memory device. A plurality of thermal regions may be configured for the memory device. A first temperature may be measured corresponding to opening a storage block of the memory device for programming. A second temperature may then be measured corresponding to closing the storage block for programming. A range between the first temperature and the second temperature may be determined. The range may span N≥2 of the thermal regions. Finally, the storage block may be assigned to a thermal region that includes the second temperature, on condition that N satisfies a threshold.
THERMAL REGION TAGS AND THERMAL REGION OUTLIER DETECTION
A method, device, and system for improving read performance in frequently changing device temperature conditions through detecting thermal region tags and thermal region outliers in a memory device. A plurality of thermal regions may be configured for the memory device. A first temperature may be measured corresponding to opening a storage block of the memory device for programming. A second temperature may then be measured corresponding to closing the storage block for programming. A range between the first temperature and the second temperature may be determined. The range may span N≥2 of the thermal regions. Finally, the storage block may be assigned to a thermal region that includes the second temperature, on condition that N satisfies a threshold.
Abnormal temperature detection device, abnormal temperature detection method, and storage medium
An abnormal temperature detection device includes a temperature acquirer configured to acquire temperature data, a preprocessor configured to perform preprocessing for calculating difference data indicating a difference sequence in the temperature data, generating substituted data in which either of a piece of difference data which is a positive number or a piece of difference data which is a negative number is substituted with zero, and calculating a similarity between the substituted data and reference data obtained from training data in which normality or abnormality has been identified, a learner configured to perform machine learning on the similarity calculated by the preprocessor and output an identification function, and a determiner configured to determine whether temperature data for detection acquired by the temperature acquirer and subjected to the preprocessing by the preprocessor is normal or abnormal by using the identification function.
Abnormal temperature detection device, abnormal temperature detection method, and storage medium
An abnormal temperature detection device includes a temperature acquirer configured to acquire temperature data, a preprocessor configured to perform preprocessing for calculating difference data indicating a difference sequence in the temperature data, generating substituted data in which either of a piece of difference data which is a positive number or a piece of difference data which is a negative number is substituted with zero, and calculating a similarity between the substituted data and reference data obtained from training data in which normality or abnormality has been identified, a learner configured to perform machine learning on the similarity calculated by the preprocessor and output an identification function, and a determiner configured to determine whether temperature data for detection acquired by the temperature acquirer and subjected to the preprocessing by the preprocessor is normal or abnormal by using the identification function.
SYSTEM AND METHOD FOR PERSONAL ENERGY-RELATED CHANGES PAYBACK EVALUATION WITH THE AID OF A DIGITAL COMPUTER
A system and method for personal energy-related changes payback evaluation with the aid of a digital computer are provided. An overall thermal performance of a building is estimated. One or more proposed replacements for existing equipment associated with an individual associated with the building is received. An annual electric consumption associated with the existing equipment is determined. The consumption associated the existing equipment is converted into a time series that includes a plurality of values that are each associated with a time interval. Renewable energy production data associated with the building is obtained. The time series is combined with the photovoltaic production data to obtain time series net consumption data. A cost associated with the time series net consumption data is determined. A payback associated with replacing the existing equipment is estimated using the cost.
SYSTEM AND METHOD FOR PERSONAL ENERGY-RELATED CHANGES PAYBACK EVALUATION WITH THE AID OF A DIGITAL COMPUTER
A system and method for personal energy-related changes payback evaluation with the aid of a digital computer are provided. An overall thermal performance of a building is estimated. One or more proposed replacements for existing equipment associated with an individual associated with the building is received. An annual electric consumption associated with the existing equipment is determined. The consumption associated the existing equipment is converted into a time series that includes a plurality of values that are each associated with a time interval. Renewable energy production data associated with the building is obtained. The time series is combined with the photovoltaic production data to obtain time series net consumption data. A cost associated with the time series net consumption data is determined. A payback associated with replacing the existing equipment is estimated using the cost.