# US 12,008,483 B2 · System to monitor and process water-related data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,008,483 B2 - Document ID: US12008483B2 - Status: Granted - Kind: B2 - Application number: 17/838,756 - Filed: 2022-06-13 - Published: 2022-09-22 - Granted: 2024-06-11 - Earliest claimed: 2017-10-20 - Assignees: Hartford Fire Insurance Company - Applicants: Hartford Fire Insurance Company - Inventors: Saleh Ahmed Alsubai; Satish K Kasala; Susan A. Rickard - Web page: https://patentgrep.com/patent/US12008483B2 ## CPC - G06N 5/04: Inference or reasoning models - G06Q 10/0639: Performance analysis of employees; Performance analysis of enterprise or organisation operations - G06Q 10/20: Administration of product repair or maintenance - G06Q 50/06: Energy or water supply - G06N 5/047: Pattern matching networks; Rete networks - G06N 20/00: Machine learning - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract A plurality of water-related sensors may each include an environmental characteristic detection element, a power source, and a communication device to transmit data associated with water-related data at a site. A water impact data store may contain electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites, and a third-party information interface may receive third-party information. An enterprise analytics platform may automatically analyze the electronic records in the water impact data store to create a predictive analytics algorithm. The data associated with potential water-related data at the site and the third-party information may then be automatically analyzed, in substantially real-time, using the predictive analytics algorithm, and a result of the analysis may then be transmitted (e.g., to a party associated with the site and/or an on-site water shut-off valve). ## Claims ### Claim 1 A system associated with a site, comprising: a plurality of water-related sensors, each water-related sensor including: an environmental characteristic sensor that senses an environmental characteristic, a power source, and a transmitter, coupled to the environmental characteristic sensor and the power source, that transmits data associated with water at the site via a first communication network; a water impact data store containing electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites; a third-party information interface that receives third-party information; and a computer processor that: (i) automatically analyzes the electronic records in the water impact data store to create a predictive analytics model trained via cognitive learning and pattern recognition to output one or more potential water damage patterns, (ii) receives the data associated with water at the site and the third-party information, (iii) automatically analyzes, in real-time, the data associated with water at the site and the third-party information using the predictive analytics model, and (iv) transmits an indication of a result of the analysis, wherein the result is a water event cause including a predicted origination location of water and a water damage risk, wherein the indication is an alert signal that is transmitted, the alert signal including: 1. sensor statistics including a sensor operational status displayed on a user interface and a sensor battery life, and the displayed sensor operational status is one of an “operational” text, a “failed” text and a “mobile” text, and 2. at least one water damage pattern of the one or more potential water damage patterns, the at least one water damage pattern based on execution of the trained predictive analytics model, the at least one water damage pattern including a water damage amount; wherein the indication of the result of the analysis is used to pre-populate at least one data element in a template associated with a water event at the site, wherein the template is partially filled out by the pre-populated data element. ### Claim 2 (depends on 1) The system of claim 1, wherein the alert signal is transmitted based on one of: a water damage risk exceeding a threshold level, an unusual level of moisture, and at least one condition outside a normal range for the respective condition. ### Claim 3 (depends on 1) The system of claim 1, wherein an output of the predictive analytics model is to move on-site equipment. ### Claim 4 (depends on 1) The system of claim 1, wherein the transmitted alert signal includes a recommendation to shut-down a water source. ### Claim 5 (depends on 1) The system of claim 1, wherein the alert signal is transmitted to an on-site water shut-down valve. ### Claim 6 (depends on 5) The system of claim 5, wherein the alert signal is transmitted to the on-site water shut-down valve remotely via a mobile application in response to the transmitted alert. ### Claim 7 (depends on 1) The system of claim 1, wherein the indication transmitted by the computer processor facilitates rendering of an interactive graphical operator interface, the interactive graphical operator interface displaying a map-based presentation of water-related information. ### Claim 8 (depends on 7) The system of claim 7, wherein selection of a location at the site via the interactive graphical operator interface results in a display of detailed water-related information about that location. ### Claim 9 (depends on 1) The system of claim 1, wherein the alert signal is associated with at least one of: (i) an automated telephone call, (ii) an email message, and (iii) a text message. ### Claim 10 (depends on 1) The system of claim 1, wherein the alert signal includes a potential cause of a water event and a recommended remedial action. ### Claim 11 A computerized method associated with a site, comprising: collecting, from a plurality of water-related sensors, data associated with water at the site via a communication network, wherein each water-related sensor includes: (i) an environmental characteristic sensor to sense an environmental characteristic, (ii) a power source, and (iii) a transmitter, coupled to the environmental characteristic sensor and the power source, to transmit the data associated with water; storing, in a water impact data store, electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites; receiving, via a third-party information interface, third-party information; automatically analyzing, by a computer processor, the electronic records in the water impact data store to create a predictive analytics model trained via cognitive learning and pattern recognition to output one or more potential water damage patterns; automatically analyzing, by the computer processor in real-time, the data associated with water at the site and the third-party information using the predictive analytics model; and transmitting an indication of a result of the analysis, wherein the result is a water event cause including a predicted origination location of water and a water damage risk, wherein the indication is an alert signal that is transmitted, the alert signal including: 1. sensor statistics including a sensor operational status displayed on a user interface and a sensor battery life, and the displayed sensor operational status is one of an “operational” text, a “failed” text, and a “mobile” text, and 2. at least one water damage pattern of the one or more potential water damage patterns, the at least one water damage pattern based on execution of the trained predictive analytics model, the at least one water damage pattern including a water damage amount; wherein the indication of the result of the analysis is used to pre-populate at least one data element in a template associated with a water event at the site, wherein the template is partially filled out by the pre-populated data element. ### Claim 12 (depends on 11) The method of claim 11, wherein the alert signal is transmitted based on one of: a water damage risk exceeding a threshold level, an unusual level of moisture, and at least one condition outside a normal range for the respective condition. ### Claim 13 (depends on 11) The method of claim 11, wherein an output of the predictive analytics model is to move on-site equipment. ### Claim 14 (depends on 11) The method of claim 11, wherein the transmitted alert signal includes a recommendation to shut-down a water source. ### Claim 15 (depends on 11) The method of claim 11, wherein the alert signal is transmitted to an on-site water shut-down valve. ### Claim 16 (depends on 15) The method of claim 15, wherein the alert signal is transmitted to the on-site water shut-down valve remotely via a mobile application in response to the transmitted alert. ### Claim 17 A system associated with a construction site, comprising: a plurality of water-related sensors, each water-related sensor including: an environmental characteristic sensor that senses an environmental characteristic, a power source, and a transmitter, coupled to the environmental characteristic sensor and the power source, that transmits data associated with water at the construction site via a wireless communication network; a computer processor that: (i) receives data from the plurality of water-related sensors via the wireless communication network, and (ii) transmits indications associated with the received data via the Internet; a water impact data store containing electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites; a third-party information interface that receives third-party information; and a computer processor that: (i) automatically analyzes the electronic records in the water impact data store to create a predictive analytics model trained via cognitive learning and pattern recognition to output one or more potential water damage patterns, (ii) receives the data associated with water at the site and the third-party information, (iii) automatically analyzes, in real-time, the data associated with water at the construction site and the third-party information using the predictive analytics model, and (iv) transmits an electronic alert signal as a result of the analysis, wherein the result is a water event cause including a predicted origination location of water and a water damage risk, wherein the electronic alert signal is transmitted, the alert signal including sensor statistics including a sensor operational status displayed on a user interface and a sensor battery life, and the displayed sensor operational status is one of an “operational” text, a “failed” text, and a “mobile” text, and 2. at least one water damage pattern of the one or more potential water damage patterns, the at least one water damage pattern based on execution of the trained predictive analytics model, the at least one water damage pattern including a water damage amount; wherein the result of the analysis is used to pre-populate at least one data element in a template associated with a water event at the site, wherein the template is partially filled out by the pre-populated data element; and an on-site water shut-down valve that receives the electronic alert signal and automatically prevents a flow of water. ### Claim 18 (depends on 17) The system of claim 17, wherein the electronic alert signal is transmitted based on one of: a water damage risk exceeding a threshold level, an unusual level of moisture, and at least one condition outside a normal range for the respective condition. ### Claim 19 (depends on 17) The system of claim 17, wherein an output of the predictive analytics model is to move on-site equipment.