System to monitor and process water-related data

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.

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.