Abstract: Methods and apparatus are for storing and retrieving data related to the installation, service, repair or performance of an industrial flow meter or other measurement instrument. Methods and apparatus are also for other processes associated with measurement instruments.

Abstract: A system, method, and computer program product are provided for creating cellular network performance indicators by correlating business data of subscribers with a geographic position. In use, one or more subscriber measurement reports associated with an authenticated cellular network subscriber identifier are received. Additionally, the one or more subscriber measurement reports are geo-location tagged with a geographic position estimate. Further, business data associated with the authenticated cellular network subscriber identifier is received. Moreover, the received business data is associated with the one or more corresponding subscriber measurement reports, based on the authenticated cellular network subscriber identifier, such that the business data is associated with the geographic position estimate to create one or more performance indicators.

Abstract: An industrial meter has wireless communication circuitry for communicating with a remote communication device. A repeater device allows the wireless communication circuitry of the industrial meter to continue to communicate with the remote communication device when the meter device is positioned in a location where direct communication between the wireless communication circuitry and the remote communication device is not possible (such as for example when the industrial meter is located underground).

Abstract: Methods and apparatus are for storing and retrieving data related to the installation, service, repair or performance of an industrial flow meter or other measurement instrument. Methods and apparatus are also for other processes associated with measurement instruments.

Abstract: Methods and systems are described for predicting the likely causes of service outages using only time information, and for predicting and the likely costs of service outages. The likely causes are found by defining a narrow likely cause window around an outage based on service quality and/or service usage data, and correlating service events to the likely cause window in the time domain to find a probability distribution for the events. The likely costs are found by measuring usage loss and duration for a given point during an outage and using cost component functions of the time and usage to extrapolate over the outage. These cause and cost predictions supply service administrators with tools for making more informed decisions about allocation of resources in preventing and correcting service outages.

Abstract: Methods and systems are described for predicting the likely causes of service outages using only time information, and for predicting and the likely costs of service outages. The likely causes are found by defining a narrow likely cause window around an outage based on service quality and/or service usage data, and correlating service events to the likely cause window in the time domain to find a probability distribution for the events. The likely costs are found by measuring usage loss and duration for a given point during an outage and using cost component functions of the time and usage to extrapolate over the outage. These cause and cost predictions supply service administrators with tools for making more informed decisions about allocation of resources in preventing and correcting service outages.

Abstract: Methods and systems are described for predicting the likely causes of service outages using only time information, and for predicting and the likely costs of service outages. The likely causes are found by defining a narrow likely cause window around an outage based on service quality and/or service usage data, and correlating service events to the likely cause window in the time domain to find a probability distribution for the events. The likely costs are found by measuring usage loss and duration for a given point during an outage and using cost component functions of the time and usage to extrapolate over the outage. These cause and cost predictions supply service administrators with tools for making more informed decisions about allocation of resources in preventing and correcting service outages.