Monitoring of resource consumption patterns in an automated environment including detecting variance in resource consumption
First Claim
Patent Images
1. A method comprising:
- identifying, by a monitoring device configured to monitor one or more appliances and one or more environment level resource consumption sensors of one or more meters in an automated environment, a pattern of resource consumption for the automated environment, the pattern including a correlation between resource consumption data received from one or more environment level resource consumption sensors of one or more meters in the automated environment and user routine data from one or more mobile devices of one or more users who interact with the automated environment, wherein the user routine data is indicative of an established routine for the one or more users who frequent the automated environment, wherein the one or more environment level resource consumption sensors are included in the one or more meters that measure an amount of one or more resources consumed by the one or more appliances in the automated environment;
detecting, by the monitoring device based on sensor data from the one or more meters, an anomaly in a resource consumption behavior of the automated environment, wherein the anomaly includes a consumption deviation of an observed resource consumption from the pattern of resource consumption in the automated environment, wherein the consumption deviation is not correlated with a user deviation from the established routine; and
notifying at least one of the one or more users of the anomaly by providing a notification of the anomaly to the one or more mobile devices of the one of more users of the automated environment.
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Abstract
An automated environment can monitor its resource consumption at the environment level and detect anomalies. Resource consumption can be monitored using a sparse set of sensors that provide information about the total resource consumption of the automated environment. The sensor data can be analyzed together with information about a behavioral routine of users in the automated environment to define a baseline resource consumption pattern. Once a baseline resource consumption pattern is established, anomalies in resource consumption can be detected and reported to users.
101 Citations
25 Claims
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1. A method comprising:
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identifying, by a monitoring device configured to monitor one or more appliances and one or more environment level resource consumption sensors of one or more meters in an automated environment, a pattern of resource consumption for the automated environment, the pattern including a correlation between resource consumption data received from one or more environment level resource consumption sensors of one or more meters in the automated environment and user routine data from one or more mobile devices of one or more users who interact with the automated environment, wherein the user routine data is indicative of an established routine for the one or more users who frequent the automated environment, wherein the one or more environment level resource consumption sensors are included in the one or more meters that measure an amount of one or more resources consumed by the one or more appliances in the automated environment; detecting, by the monitoring device based on sensor data from the one or more meters, an anomaly in a resource consumption behavior of the automated environment, wherein the anomaly includes a consumption deviation of an observed resource consumption from the pattern of resource consumption in the automated environment, wherein the consumption deviation is not correlated with a user deviation from the established routine; and notifying at least one of the one or more users of the anomaly by providing a notification of the anomaly to the one or more mobile devices of the one of more users of the automated environment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. An electronic device configured to monitor one or more appliances and one or more environment level resource consumption sensors of one or more meters in an automated environment, the electronic device comprising:
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a communication interface to communicate with one or more sensors of one or more meters in an automated environment; and a processor coupled to the communication interface and configured to; identify a pattern of resource consumption for the automated environment, the pattern including a correlation between resource consumption data received from the one or more sensors in the automated environment and user routine data from one or more mobile devices of one or more users who frequent the automated environment, wherein the user routine data is indicative of an established routine for one or more users who frequent the automated environment, wherein the one or more are included in the one more meters that measure an amount of one or more resources consumed by the one or more appliances in the automated environment; detect an anomaly in a resource consumption behavior of the automated environment based on sensor data from the one or more meters, wherein the anomaly includes a consumption deviation of an observed resource consumption from the pattern of resource consumption in the automated environment, wherein the consumption deviation is not correlated with a user deviation from the established routine; and notify at least one of the one or more users of the anomaly by providing a notification of the anomaly to the one or more mobile devices of the one of more users of the automated environment.
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25. A non-transitory machine-readable storage medium storing instructions that, when executed, causes at least one processing device to perform a method comprising:
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identifying, by a monitoring device in an automated environment configured to monitor one or more appliances and one or more environment level resource consumption sensors of one or more meters, a pattern of resource consumption for the automated environment, the pattern including a correlation between resource consumption data received from one or more environment level resource consumption sensors of one or more meters in the automated environment and user routine data from one or more mobile devices of one or more users who frequent the automated environment, wherein the user routine data is indicative of an established routine for the one or more users who frequent the automated environment, wherein the one or more environment level resource consumption sensors are included in one more meters that measure an amount of one or more resources consumed by the one or more appliances in the automated environment; detecting, by the monitoring device, an anomaly in a resource consumption behavior of the automated environment based on sensor data from the one or more meters, wherein the anomaly includes a consumption deviation of an observed resource consumption from the pattern of resource consumption in the automated environment, wherein the consumption deviation is not correlated with a user deviation from the established routine; and notifying at least one of the one or more users of the anomaly by providing a notification of the anomaly to the one or more mobile devices of the one of more users of the automated environment.
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Specification