Patent Issued for Closed-loop system incorporating risk analytic algorithm (USPTO 11599952): Hartford Fire Insurance Company

2023 MAR 28 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Madison, James A. (Windsor, CT, US), Przechocki, Joseph M. (Westfield, MA, US), Van Dam, Evan (Manchester, CT, US), filed on June 14, 2021, was published online on March 7, 2023.

The patent’s assignee for patent number 11599952 is Hartford Fire Insurance Company (Hartford, Connecticut, United States).

News editors obtained the following quote from the background information supplied by the inventors: “In some cases, an enterprise might want to analyze, model, and/or predict risk and/or performance values. For example, an insurance company might want to predict a likelihood of imminent physical damage at a particular location (e.g., a building, factory, or construction site) based on a number of different factors. Typically, a user associated with the enterprise may manually define rules and/or logic to implement such predictions. Such an approach, however, can be a time consuming and error-prone process-especially when the logic being implemented for an algorithm is complex and/or a substantial number of factors are associated with the prediction.

“It would be desirable to provide systems and methods to accurately and efficiently facilitate predictive risk analytics for an enterprise.”

As a supplement to the background information on this patent, NewsRx correspondents also obtained the inventors’ summary information for this patent: “According to some embodiments, systems, methods, apparatus, computer program code and means may facilitate predictive risk analytics for an enterprise. In some embodiments, a risk monitoring data store may contain a set of electronic data records, with each electronic data record being associated with a stream of sensor data received via a communication network from a remote set of sensor systems located at a risk monitoring site. A risk analytics platform computer may receive information associated with the sensor data in substantially real-time and analyze the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a predicted elevated level of risk at the risk monitoring site. The risk analytics platform computer may also automatically transmit a result of the analysis to a risk operations platform. The risk operations platform may then implement an active risk mitigation adjustment at the risk monitoring site responsive to the result of the analysis.

“Some embodiments provide: means for receiving, at a risk analytics platform computer from a risk monitoring data store via a communication network, information associated with a stream of sensor data generated by a remote set of sensor systems located at a risk monitoring site; means for analyzing the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a predicted elevated level of risk at the risk monitoring site; and means for automatically transmitting a result of the analysis to a risk operations platform, wherein the risk operations platform is to implement an active risk mitigation adjustment at the risk monitoring site responsive to the result of the analysis.

“A technical effect of some embodiments of the invention is an improved, secure, and computerized method to facilitate predictive risk analytics for an enterprise. With these and other advantages and features that will become hereinafter apparent, a more complete understanding of the nature of the invention can be obtained by referring to the following detailed description and to the drawings appended hereto.”

The claims supplied by the inventors are:

“1. A system to facilitate predictive risk analytics for an enterprise, comprising: (a) a risk monitoring data store containing a set of electronic data records, each electronic data record being associated with a stream of sensor data received via a first communication network from a risk monitoring site; (b) a risk analytics platform computer, coupled to the risk monitoring data store, the risk analytics platform computer including a processor and a memory in communication with the processor and storing program instructions for controlling the processor; © a risk operations platform which includes a thresholding process; (d) a set of sensor systems at the risk monitoring site, the set of sensors including a static sensor; and (e) a second communication network interconnecting the risk monitoring data store with the risk analytics platform computer; wherein the risk analytics platform computer is programmed to: (i) receive information associated with the sensor data in substantially real-time, (ii) analyze the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a water-damage condition and a fire condition at the risk monitoring site, (iii) adjust the at least one risk analytics algorithm based on feedback information to improve performance of the at least one risk analytics algorithm; (iv) automatically transmit a result of the analysis to the risk operations platform, thereby triggering an active adjustment at the risk monitoring site responsive to the result of the analysis to automatically mitigate the water-damage condition; and (v) analyze results of predictive analytic algorithms to reduce a number of algorithms processed in the second communication network and to reduce usage of communication links in the system; wherein said analyzing by the risk analytics platform computer is performed remotely from the risk monitoring site; wherein: the stream of sensor data is associated with a physical damage sensor device including: (i) a water sensor and (ii) a vapor sensor; and the sensor systems including a mobile robotic sensor, the mobile robotic sensor operating to monitor conditions at a first location, to generate and transmit data representative of the conditions at the first location, to move from the first location to a second location different from the first location, to monitor conditions at the second location, and to generate and transmit data representative of the conditions at the second location.

“2. The system of claim 1, wherein the risk monitoring data store further contains at least one of: (i) historical data, (ii) derived analytic elements, (iii) a streaming architecture, (iv) Internet of Things (“IoT”) data, (v) information about other risk monitoring sites, (vi) third-party data, and (vii) enterprise transactional system information.

“3. The system of claim 1, wherein the risk analytics platform computer is further programed to: (i) execute pattern matching, (ii) incorporate a machine learning process, (iii) incorporate an artificial intelligence process, and (iv) automatically adjust the risk analytics algorithm.

“4. The system of claim 1, wherein the stream of sensor data is associated with a security sensor device including at least one of: (i) an acoustic sensor, (ii) a broken glass detection sensor, (iii) a thermal sensor, (iv) a visual light sensor, (v) an infrared sensor, (vi) a motion sensor, and (vii) a sonar sensor.

“5. The system of claim 1, wherein the stream of sensor data is associated with a movement sensor device including at least one of: (i) a vibration sensor, and (ii) an accelerometer sensor.

“6. The system of claim 1, wherein the stream of sensor data is associated with a positioning sensor device including at least one of: (i) a gyroscope, (ii) a Global Positioning System (“GPS”) satellite sensor, and (iii) a magnetic sensor.

“7. The system of claim 1, wherein the stream of sensor data is associated with an environmental sensor device including at least one of: (i) a temperature sensor, (ii) a particulate sensor, (iii) a radioactivity sensor, and (iv) a voltage sensor.

“8. A computerized method to facilitate predictive risk analytics for an enterprise, comprising: receiving, at a risk analytics platform computer from a risk monitoring data store via a communication network, information associated with a stream of sensor data generated by a remote set of sensor systems located at a risk monitoring site, the risk analytics platform including a processor and a memory in communication with the processor, the memory storing program instructions for controlling the processor, the set of sensor systems including a static sensor; analyzing the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a water-damage condition and a fire condition at the risk monitoring site, the at least one risk analytics algorithm being adjusted based on feedback information to improve performance of the at least one risk analytics algorithm, said analyzing being performed remotely from the risk monitoring site; automatically transmitting a result of the analysis to a risk operations platform, thereby triggering an active adjustment at the risk monitoring site responsive to the result of the analysis to automatically mitigate the water-damage condition, the risk operations platform including a thresholding process; analyzing results of predictive analytic algorithms to reduce a number of algorithms processed in the communication network and to reduce usage of communication links in a system that includes the risk analytics platform computer and the risk monitoring data store; and operating a mobile robotic sensor to monitor conditions at a first location, to generate and transmit data representative of the conditions at the first location, to move from the first location to a second location different from the first location, to monitor conditions at the second location, and to generate and transmit data representative of the conditions at the second location; wherein the stream of sensor data is associated with a physical damage sensor device including: (i) a water sensor and (ii) a vapor sensor.

“9. The method of claim 8, wherein the risk monitoring data store further contains at least one of: (i) historical data, (ii) derived analytic elements, (iii) a streaming architecture, (iv) Internet of Things (“IoT”) data, (v) information about other risk monitoring sites, (vi) third-party data, and (vii) enterprise transactional method information.

“10. The method of claim 8, wherein the risk analytics platform computer is further programed to: (i) execute pattern matching, (ii) incorporate a machine learning process, (iii) incorporate an artificial intelligence process, and (iv) automatically adjust the risk analytics algorithm.

“11. The method of claim 8, wherein the stream of sensor data is associated with at least one of: (i) a security sensor device, (ii) a movement sensor device, (iii) a physical damage sensor device, (iv) a positioning sensor device, and (v) an environmental sensor device.

“12. A system to facilitate predictive risk analytics for an enterprise, comprising: (a) a risk monitoring data store containing a set of electronic data records, each electronic data record being associated with a stream of sensor data received via a first communication network from a remote set of sensor systems located at a risk monitoring site; (b) a risk analytics platform computer, coupled to the risk monitoring data store, the risk analytics platform computer including a processor and a memory in communication with the processor and storing program instructions for controlling the processor, the risk analytics platform computer programmed to: (i) receive information associated with the sensor data in substantially real-time, (ii) analyze the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a water-damage condition and a fire condition at the risk monitoring site, the at least one risk analytics algorithm being adjusted based on feedback information to improve performance of the at least one risk analytics algorithm, and (iii) automatically transmit a result of the analysis to a risk operations platform; © the risk operations platform, wherein the risk operations platform is programmed to implement an active adjustment at the risk monitoring site responsive to the result of the analysis to automatically mitigate the water-damage condition and further wherein the risk operations platform includes a thresholding process; (d) the set of sensor systems at the risk monitoring site, including a static sensor; and (e) a second communication network interconnecting the risk monitoring data store with the risk analytics platform computer; the risk analytics platform computer further programmed to analyze results of predictive analytic algorithms to reduce a number of algorithms processed in the second communication network and to reduce usage of communication links in the system; the set of sensor systems including a mobile robotic sensor that is operated to monitor conditions at a first location, to generate and transmit data representative of the conditions at the first location, to move from the first location to a second location different from the first location, to monitor conditions at the second location, and to generate and transmit data representative of the conditions at the second location; wherein: said analyzing by the risk analytics platform computer is performed remotely from the risk monitoring site; the stream of sensor data is associated with a physical damage sensor device including: (i) a water sensor and (ii) a vapor sensor.”

There are additional claims. Please visit full patent to read further.

For additional information on this patent, see: Madison, James A. Closed-loop system incorporating risk analytic algorithm. U.S. Patent Number 11599952, filed June 14, 2021, and published online on March 7, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11599952)&db=USPAT&type=ids

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