Animal movement mapping and movement prediction method and device
View Patent ↗An animal movement prediction method including the steps of establishing, receiving and predicting. The establishing step establishes a wireless mesh network of a plurality of remote sensors. Each sensor is established in the wireless mesh network by installing said sensor on an object to detect the animal in a detection zone; activating the sensor; and capturing a geographic coordinate in a mobile device for at least a portion of the detection zone apart from the sensor. The receiving step receives animal detection information from the sensors by way of the mesh network. The animal detection information includes a time of detection. The predicting step predicts the future movements of animals dependent upon the animal detection information.
1. An animal movement prediction method, comprising the steps of:
establishing a wireless mesh network of a plurality of remote sensors not having a position location device, each of said sensors of the plurality of remote sensors being established in said wireless mesh network by the steps of:
installing at least one of said sensors on an object to detect an animal in a detection zone;
activating said sensors; and
capturing a geographic coordinate in a mobile device for at least a portion of said detection zone apart from said sensor, the geographic coordinate not being the coordinate of said sensors;
receiving animal detection information from said sensors by way of said mesh network, said animal detection information including at least a time of detection; and
predicting future movements of a plurality of animals dependent upon said animal detection information.
2. The method of claim 1 , wherein said animal detection information is incorporated into a snapshot of information.
3. The method of claim 2 , wherein said snapshot of information further includes categories of information including additional information from said sensors, natural factors of the detection zone, calculated influences and action triggers.
4. The method of claim 2 , wherein each time said receiving step receives said animal detection information each snapshot of information is generated and saved to a database.
5. The method of claim 4 , wherein said predicting future movements step includes comparing said snapshots of information to predicted future environmental conditions.
6. The method of claim 5 , wherein said predicting future movements step further includes using statistical analysis of said snapshots of information and the predicted future environmental conditions to predict a likelihood of an animal being in each detection zone during a predetermined time period.
7. The method of claim 1 , wherein said sensors are passive infrared sensors.
8. An animal movement prediction method, comprising the steps of:
establishing a wireless mesh network of a plurality of remote sensors not having a position location device, each of said sensors of the plurality of remote sensors being established in said wireless mesh network by the steps of:
installing said sensors on an object to detect an animal in a detection zone;
activating said sensors; and
capturing a geographic coordinate in a mobile device for at least a portion of said detection zone apart from said sensor, the geographic coordinate not being the coordinate of said sensors;
receiving animal detection information from said sensors by way of said mesh network, said animal detection information including at least a time of detection; and
predicting future movements of a plurality of animals dependent upon said animal detection information, said animal detection information is incorporated into a snapshot of information, said snapshot of information further includes categories of information including additional information from said sensors, natural factors of the detection zone, calculated influences and action triggers, said snapshot of information still further includes current values of at least one of said animal detection information, said additional information from said sensors, said natural factors of the detection zone, said calculated influences and said action triggers.
9. The method of claim 8 , wherein said snapshot of information further includes rate of change information of said current value for at least one of said animal detection information, said additional information from said sensor, said natural factors of the detection zone, said calculated influences and said action triggers.
10. The method of claim 8 , wherein said snapshot of information includes said current values for each of said animal detection information, said additional information from said sensors, said natural factors of the detection zone, said calculated influences and said action triggers.
11. The method of claim 8 , wherein said snapshot of information includes over 50 indicators relating to the categories of said animal detection information, said additional information from said sensors, said natural factors of the detection zone, said calculated influences and said action triggers.
12. The method of claim 11 , wherein said indicators exceed 100.
13. An animal movement prediction method, comprising the steps of:
receiving animal detection information from sensors, each reception defining an animal detection event, the sensors not having a position locating device;
associating a plurality of indicators with the each reception of the animal detection event thereby creating a snapshot of information;
saving said snapshot of information; and
predicting future movements of a plurality of animals dependent upon said snapshot of information and predicting future environmental conditions.
14. The method of claim 13 , wherein said snapshot of information further includes categories of information including additional information from said sensor, natural factors of the detection zone, calculated influences and action triggers.
15. The method of claim 13 , wherein said sensors are passive infrared sensors.
16. An animal movement prediction method, comprising the steps of:
receiving animal detection information from sensors not having a position location device, each reception defining an animal detection event;
associating a plurality of indicators with the each reception of the animal detection event thereby creating a snapshot of information;
saving said snapshot of information; and
predicting future movements of a plurality of animals dependent upon said snapshot of information and predicted future environmental conditions, said snapshot of information includes categories of information including additional information from said sensors, natural factors of the detection zone, calculated influences and action triggers, said snapshot of information further includes current values of at least one of said animal detection information, said additional information from said sensors, said natural factors of the detection zone, said calculated influences and said action triggers.
17. The method of claim 16 , wherein said snapshot of information further includes rate of change information of said current value for at least one of said animal detection information, said additional information from said sensors, said natural factors of the detection zone, said calculated influences and said action triggers.
18. The method of claim 16 , wherein said snapshot of information includes said current values for the each reception of said animal detection information, said additional information from said sensors, said natural factors of the detection zone, said calculated influences and said action triggers.
19. The method of claim 16 , wherein said snapshot of information includes over 50 indicators relating to the categories of said animal detection information, said additional information from said sensors, said natural factors of the detection zone, said calculated influences and said action triggers.
20. The method of claim 19 , wherein said indicators exceed 100.