US2023244831A1PendingUtilityA1
Method and apparatus for simulating events on smart cities
Est. expiryJun 3, 2039(~12.8 yrs left)· nominal 20-yr term from priority
G01V 20/00G06F 30/20G01V 99/005A63F 13/52A63F 13/216A63F 2300/205G06F 30/13A63F 13/65A63F 13/822Y04S40/20
68
PatentIndex Score
0
Cited by
0
References
0
Claims
Abstract
A method and system, including a device having a processor and instructions stored on a non-transitory computer readable medium. In the system and method, data is identified and collected that is required to simulate a geographical area. The data is input into a simulation engine that runs a simulation of the geographical area. A scenario is identified to apply to the simulation, wherein the scenario is identified through employment on non-simulated data. The scenario is applied to the simulation by revising the data that is input to the simulation engine.
Claims
exact text as granted — not AI-modifiedWhat is claimed:
1 . A method, comprising:
applying, by a processing system including a processor, a likely scenario to a first model component of a plurality of model components of a simulation model for a geographical area, wherein the plurality of model components include a population model component to model changes in population associated with the geographical area; performing, by the processing system, a first simulation of the simulation model via a simulation engine for the geographical area according to the applying the likely scenario; monitoring, by the processing system, performance of the population model component of the plurality of model components of the simulation model during the performing the first simulation of the simulation model; generating, by the processing system, a revised scenario based on changes to the performance of the population model component of the plurality of model components of the simulation model, wherein the changes to the performance of the population model component include demographic trends associated with the geographical area; performing, by the processing system, a second simulation of the simulation model according to the revised scenario; collecting, by the processing system, model data generated by the simulation model during the performing the second simulation of the simulation model to generate aggregated data; and revising, by the processing system, the simulation model according to the aggregated data to create a revised simulation model.
2 . The method of claim 1 , further comprising determining, by the processing system, the likely scenario associated with the first model component of the plurality of model components according to an occurrence of a first event.
3 . The method of claim 2 , wherein the first event comprises a cyber-attack perpetrated against the geographical area.
4 . The method of claim 1 , wherein the geographical area comprises a smart city.
5 . The method of claim 1 , wherein the simulation engine comprises a game engine.
6 . The method of claim 1 , wherein real-life data from the geographical area is included in the simulation model.
7 . The method of claim 1 , wherein performance data of a telecommunications network infrastructure of the geographical area, a power generation infrastructure of the geographical area, or a combination thereof, is included in the simulation model.
8 . The method of claim 1 , wherein the changes to the performance of the population model component include population movements associated with the geographical area.
9 . The method of claim 1 , wherein traffic data from the geographical area is included in the simulation model.
10 . A device, comprising:
a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
identifying and collecting data required to simulate a geographical area;
performing a first simulation of a simulation model via a simulation engine for a geographical area according to a likely scenario applied to a first model component of a plurality of model components of the simulation model for the geographical area, wherein the plurality of model components include a population model component to model changes in population associated with the geographical area; monitoring performance of the population model component of the plurality of model components of the simulation model during the performing the first simulation of the simulation model; generating a revised scenario based on changes to the performance of the population model component of the plurality of model components of the simulation model, wherein the changes to the performance of the population model component include demographic trends associated with the geographical area; performing a second simulation of the simulation model according to the revised scenario; collecting model data generated by the simulation model during performing a second simulation of the simulation model to generate aggregated data; and revising the simulation model according to the aggregated data to create a revised simulation model.
11 . The device of claim 10 , wherein the operations further comprise determining the likely scenario associated with the first model component of the plurality of model components according to an occurrence of a first event.
12 . The device of claim 11 , wherein the first event comprises a cyber-attack perpetrated against the geographical area.
13 . The device of claim 10 , wherein the geographical area comprises a smart city.
14 . The device of claim 10 , wherein real-life data from the geographical area is included in the simulation model.
15 . The device of claim 10 , wherein performance data of a telecommunications network infrastructure of the geographical area, a power generation infrastructure of the geographical area, or a combination thereof, is included in the simulation model.
16 . The device of claim 10 , wherein the changes to the performance of the population model component include population movements associated with the geographical area.
17 . The device of claim 10 , wherein traffic data from the geographical area is included in the simulation model.
18 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
performing a first simulation of a simulation model via a simulation engine for a geographical area according to a likely scenario applied to a first model component of a plurality of model components of the simulation model for the geographical area, wherein the plurality of model components include a population model component to model changes in population associated with the geographical area; monitoring performance of the population model component of the plurality of model components of the simulation model during the performing the first simulation of the simulation model; generating a revised scenario based on changes to the performance of the population model component of the plurality of model components of the simulation model; performing a second simulation of the simulation model according to the revised scenario; collecting model data generated by the simulation model during the performing the second simulation of the simulation model to generate aggregated data; and revising the simulation model according to the aggregated data to create a revised simulation model.
19 . The non-transitory machine-readable medium of claim 18 , wherein the changes to the performance of the population model component include demographic trends associated with the geographical area.
20 . The non-transitory machine-readable medium of claim 18 , wherein the operations further comprise determining the likely scenario associated with the first model component of the plurality of model components according to an occurrence of a first event.Join the waitlist — get patent alerts
Track US2023244831A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.