Battery monitoring system for a lift device
US-2024317107-A1 · Sep 26, 2024 · US
US9590880B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9590880-B2 |
| Application number | US-201313961641-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 7, 2013 |
| Priority date | Aug 7, 2013 |
| Publication date | Mar 7, 2017 |
| Grant date | Mar 7, 2017 |
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Technologies are generally described for collecting, analyzing and reporting telemetry data. A telemetry engine is built into a client application installed on a client device, and the telemetry engine is configured to collect and analyze application data at the client device and report the analyzed data to a service provider associated with the application. The telemetry application includes a specialized set of components, such as a telemetry transport component configured to communicate with the service provider, a data collection module configured to retrieve data from the application, and a rule manager and analyzer configured to analyze collected data according to a set of data collection rules provided by the service provider. The telemetry engine enables collection and analysis of telemetry data from multiple distributed client devices. The client devices dynamically change over time to ensure that current and important information is reported to the service provider.
Opening claim text (preview).
What is claimed is: 1. A method to process telemetry data at a client application, the method comprising: by a telemetry engine of the client application being executed by a client device: receiving instructions associated with data to be analyzed at the client application; retrieving raw data associated with operations of the client application; processing the instructions and selecting a portion of the raw data based on the instructions, wherein the portion of the raw data includes log data, event data, and state data associated with a slow performance of one of the operations of the client application; processing a received set of rules at a rule manager and analyzer component of the telemetry engine to determine a set of data points to retrieve from the client application; enabling a data collector component at the rule manager and analyzer component to filter the set of data points from the raw data; analyzing the set of data points from the data collector component at the rule manager and analyzer component of the telemetry engine based on the instructions, wherein the analysis includes a calculation, a summarization, and a logic operation executed on the set of data points; and providing results of the analysis, the results of the analysis including diagnostic information associated with the slow performance of one of the operations of the client application, as telemetry data and metadata associated with the client device to a service provider such that the service provider is enabled to target a group of client devices by type and select a group of client applications to collect data from based on the metadata. 2. The method of claim 1 , wherein receiving the instructions comprises: receiving the set of rules from the service provider, the set of rules including a type of data to be collected and a type of data analysis to be performed at the telemetry engine. 3. The method of claim 2 , further comprising: receiving the set of rules from the service provider at a telemetry transport component of the telemetry engine. 4. The method of claim 1 , further comprising: providing the results of the analysis to a telemetry transport component, the telemetry transport component being configured to provide a data analysis report to the service provider. 5. The method of claim 1 , further comprising: capturing events associated with the client application based on the instructions. 6. A computing device to process telemetry data at a client application, the computing device comprising: a memory; a processor coupled to the memory, the processor executing an application and a telemetry engine integrated with the application, wherein the processor is configured to: receive, from a service provider at a telemetry transport component of the telemetry engine, instructions associated with data to be analyzed at the application, the instructions including a set of rules defining a type of data to be collected and a type of data analysis to be performed at the telemetry engine; retrieve raw data associated with operations of the client application; process the instructions and select a portion of the raw data based on the instructions, wherein the portion of the raw data includes log data, event data, and state data associated with a slow performance of one of the operations of the client application; process a received set of rules at a rule manager and analyzer component of the telemetry engine to determine a set of data points to retrieve from the client application; enable a data collector component at the rule manager and analyzer component to filter the set of data points from the raw data; analyze the set of data points from the data collector component at the rule manager and analyzer component of the telemetry engine based on the instructions, wherein the analysis includes a calculation, a summarization, and a logic operation executed on the set of data points; and provide results of the analysis, the results of the analysis including diagnostic information associated with the slow performance of one of the operations of the client application, as telemetry data and metadata associated with the computing device to the service provider such that the service provider is enabled to target a group of client devices by type and select a group of client applications to collect data from used on the metadata. 7. The computing device of claim 6 , wherein the processor is further configured to: provide the results of the data analysis to the telemetry transport component, wherein the telemetry transport component is configured to provide a data analysis report to the service provider. 8. A computer-readable memory device with instructions stored thereon to process telemetry data at a client application, the instructions including; a telemetry engine integrated with the client application; receiving data collection instructions from a service provider at a telemetry transport component of the telemetry engine associated with data to be analyzed at the client application, the data collection instructions including a set of rules defining a type of data to be collected and a type of data analysis to be performed; retrieving raw data associated with operations of the client application at a data collector component of the telemetry engine, wherein the raw data includes log data, event data, and state data associated with a slow performance of one of the operations of the client application; processing the data collection instructions and selecting one or more data points from the raw data based on the data collection instructions; processing a received set of rules at a rule manager and analyzer component of the telemetry engine to determine a set of data points to retrieve from the client application; enabling a data collector component at the rule manager and analyzer component to filter the set of data from the raw data; analyzing the set of data points from the data collector component at the rule manager and analyzer component of the telemetry engine based on the data collection instructions, wherein the analysis includes a calculation, a summarization, and a logic operation executed on the set of data points; and providing a report including results of the analysis and metadata associated with a client device, the results of the analysis including diagnostic information associated with the slow performance of one of the operations of the client application, to the service provider such that the service provider is enabled to target a group of client devices by type and select a group of client applications to collect data from based on the metadata. 9. The computer-readable memory device of claim 8 , wherein the telemetry engine is integrated as a module of the client application, the client application installed on a client device including one or more of: a personal computer, a laptop computer, a tablet, and a smart phone.
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