Value added pest control system with smart learning
First Claim
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1. An integrated digitized pest control management system comprising:
- a computer and/or cloud-based network that is adapted to receive multiple data sources and process data therefrom and thereby to create a database;
at least one location specific pest control platform adapted to send and receive data,wherein said location specific criteria is based at least in part on a risk profile of said location, said platform comprising one or more mechanisms for pest control at said location;
one or more external sensors that collect data external to said pest control platform, said external data comprising one or more of atmospheric conditions, pest populations, human interaction with said location or third party data correlated to predicting likelihood of pests at said location, wherein said database creates a recommended protocol for arrangement for said one or more mechanisms for pest management based on the inputted risk profile of said location and machine learning developed by said database utilizing live data received by said computer as well as historical data from said location, and, further wherein said database continues to collect and integrate new data such that at any given time a recommended protocol for arrangement of said one or more mechanisms is updated on a real time basis, and wherein placement of said one or more mechanisms is increased, decreased or repositioned based on the recommended protocol.
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Abstract
The instant disclosure provides an ability to use an array of data inputs to enter a network and thereby provide a realtime improvable database. The present invention is novel in its ability to maximize the customer'"'"'s interface with a pest control system, thus allowing for maximum efficiency for current and future designs as well as a high level of compatibility with ancillary regulatory, financial and planning type functions.
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Citations
13 Claims
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1. An integrated digitized pest control management system comprising:
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a computer and/or cloud-based network that is adapted to receive multiple data sources and process data therefrom and thereby to create a database; at least one location specific pest control platform adapted to send and receive data, wherein said location specific criteria is based at least in part on a risk profile of said location, said platform comprising one or more mechanisms for pest control at said location; one or more external sensors that collect data external to said pest control platform, said external data comprising one or more of atmospheric conditions, pest populations, human interaction with said location or third party data correlated to predicting likelihood of pests at said location, wherein said database creates a recommended protocol for arrangement for said one or more mechanisms for pest management based on the inputted risk profile of said location and machine learning developed by said database utilizing live data received by said computer as well as historical data from said location, and, further wherein said database continues to collect and integrate new data such that at any given time a recommended protocol for arrangement of said one or more mechanisms is updated on a real time basis, and wherein placement of said one or more mechanisms is increased, decreased or repositioned based on the recommended protocol. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for simultaneously monitoring and treating a location against pests comprising:
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providing a computer and/or cloud based network that is adapted to receive multiple data sources and process data therefrom and thereby to create a database; inputting location specific criteria including a risk profile associated with said location to create a location specific platform comprising one or more mechanisms for pest control at said location, inputting data from one or more external sensors that collect data external to said pest control platform, said external data comprising one or more of atmospheric conditions, pest populations, human interaction with said location or third party data correlated to predicting likelihood of pests at said location, wherein said database creates a recommended protocol for arrangement for said one or more mechanisms for pest management based on an inputted risk profile of said location and machine learning developed by said database utilizing live data received by said computer as well as historical data from said location, and further wherein said database continues to collect and integrate new data such that at any given time a recommended protocol for arrangement of said one or more mechanisms is updated on a real time basis, and wherein placement of said one or more mechanisms is increased, decreased or repositioned based on the recommended protocol. - View Dependent Claims (10, 11, 12, 13)
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Specification