Abstract: A method for determining whether a given run of a process having a defined protocol is on a trajectory for successful completion is provided. The method includes the step of initiating a run of the defined protocol of the process. During the initiated run, obtaining information reflecting variables that may affect the quality of the process. A preferred trajectory model for achieving a successful implementation of a process is also obtained. The information reflecting the variables that affect the quality of the process are compared with the preferred trajectory model. This comparison allows a determination of offset of the value of the determined variables to the value of the same variables of the preferred trajectory model. The magnitude or amount of offset is indicative of the whether the run initiated in step is on a path or trajectory for success.

Abstract: Determining, generating, and issuing a contextual alert message to a user regarding an alert condition of a process system is provided. Described is determining variable data from a sensor associated with a process system, transmitting a first set of variable data from the sensor to a server and using the server to develop an alert classification model using the first set of variable data, where the alert classification model contains contextual information about an alert condition of the process system, transmitting a second set of data from the sensor to the server and using the server to compare the second set of data to a threshold value to determine if the process system is in an alert condition or approaching an alert condition.

Abstract: A method for determining whether a given run of a process having a defined protocol is on a trajectory for successful completion is provided. The method includes the step of initiating a run of the defined protocol of the process. During the initiated run, obtaining information reflecting variables that may affect the quality of the process. A preferred trajectory model for achieving a successful implementation of a process is also obtained. The information reflecting the variables that affect the quality of the process are compared with the preferred trajectory model. This comparison allows a determination of offset of the value of the determined variables to the value of the same variables of the preferred trajectory model. The magnitude or amount of offset is indicative of the whether the run initiated in step is on a path or trajectory for success.

Abstract: A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module.

Abstract: A method for determining a time frame for when a freezer having a compressor should be defrosted include the steps of measuring compressor cycling over time, determining a change in compressor cycling over time, and determining from the change in in compressor cycling over time determined a time frame for when the freezer should be defrosted.

Abstract: An electromagnetic apparatus (EMA) for measuring electromagnetic properties of an electrical conductor such as a power cord is provided. Methods of using the EMA are also provided. The EMA includes a plurality of electromagnetic sensors (EMSs) disposed in an array along a length and a width of the EMA. The EMA further includes circuitry such as a microprocessor, communication circuitry, and power circuitry. The circuitry is in electrical communication with the EMSs.

Abstract: A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module.

Abstract: A method for determining a time frame for when a freezer having a compressor should be defrosted include the steps of measuring compressor cycling over time, determining a change in compressor cycling over time, and determining from the change in in compressor cycling over time determined a time frame for when the freezer should be defrosted.

Abstract: A sensing system is provided. The system comprises a microprocessor (or computing device) with a memory, means of transmitting information wirelessly, an antenna, a power supply, and a sensor configured to measure at least one environmental parameter.

Abstract: An empirical data management system (EDMS) includes an application server, an environmental sensor unit, a process instrument, a data storage system, and a correlation module. If a correlation exists between two or more of process data, environmental data, and specified environmental operating ranges of the process instrument, a user is prompted with a specific message such as a recommendation, warning and/or query.

Abstract: A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module.

Abstract: A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module.

Abstract: A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module.

Abstract: A method for determining a time frame for when a freezer having a compressor should be defrosted include the steps of measuring compressor cycling over time, determining a change in compressor cycling over time, and determining from the change in in compressor cycling over time determined a time frame for when the freezer should be defrosted.

Abstract: An empirical data management system (EDMS), such as an electronic laboratory notebook (ELN) system, includes an application server running an EDMS server application, a data storage system containing data in communication with the application server, and an environmental sensor unit in communication with the application server. The data comprises environmental data received from the environmental sensor unit.

Abstract: A method for determining whether a given run of a process having a defined protocol is on a trajectory for successful completion is provided. The method includes the step of initiating a run of the defined protocol of the process. During the initiated run, obtaining information reflecting variables that may affect the quality of the process. A preferred trajectory model for achieving a successful implementation of a process is also obtained. The information reflecting the variables that affect the quality of the process are compared with the preferred trajectory model. This comparison allows a determination of offset of the value of the determined variables to the value of the same variables of the preferred trajectory model. The magnitude or amount of offset is indicative of the whether the run initiated in step is on a path or trajectory for success.

Abstract: A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module.

Abstract: A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module.