System and methods for dynamic geospatially-referenced cyber-physical infrastructure inventory and asset management
A system and method for dynamic geospatially-referenced cyber-physical infrastructure inventory and asset management using state models, wherein a computing device with a geolocation device and wireless networking capability is attached to each of a plurality of physical assets, and used to periodically determine a state of the physical asset to which it is attached using the geolocation device, periodically generate a status update message and send it to a remote computer, and wherein the remote computer stores the status of the physical asset as time series data in a state model and, if a status message is not received in a defined period of time, applies a machine learning algorithm to the state model to predict a current or future state of that particular physical asset.
1. A system for dynamic geospatially-referenced cyber-physical infrastructure inventory and asset management using state models, comprising:
a non-volatile data storage device, wherein databases stored on the non-volatile data storage device comprise a multi-dimensional time series database and a state database;
a plurality of first computing devices each attached to one of a plurality of physical assets, each first computing device comprising a first processor, a first memory, a device identifier, a geolocation device, a wireless communication device, and a first plurality of programming instructions stored in the first memory and operating on the first processor, wherein the first plurality of programmable instructions, when operating on the first processor, cause the first computing device to:
periodically determine a state of the physical asset to which it is attached using the geolocation device of the first computing device, the state comprising one or more attributes of the physical asset;
periodically generate a status update message, the status update message comprising the device identifier of the first computing device and the determined state of the physical asset to which the first computing device is attached;
send the status update message via the wireless communication device to the second computing device;
a second computing device comprising a second processor, a second memory, a wired or wireless communication device, and a second plurality of programming instructions stored in the second memory and operating on the second processor, wherein the second plurality of programmable instructions, when operating on the second processor, cause the second computing device to:
receive status update message from one or more of the first computing devices;
for each physical asset for which a status message is received, update a record associated with that physical asset in the state database with the determined state contained in the status update message received;
store the status update messages as time series data in a multi-dimensional time series database;
generate and update from the time series data a state model of the plurality of physical assets;
where a status update message for a particular physical asset of the plurality of physical assets is not received by an expected time, apply a machine learning algorithm to the state model to predict a current or future state of that particular physical asset; and
update a record of the particular physical asset in the state database with the predicted current or future state.
2. The system of claim 1 , wherein the state database is a decentralized, peer-to-peer blockchain database.
3. The system of claim 2 , wherein the status update message further comprises a condition for execution of a smart contract.
4. The system of claim 3 , wherein the second computing device further comprises a parametric evaluation engine comprising a third plurality of programming instructions stored in the second memory and operating on the second processor, wherein the third plurality of programmable instructions, when operating on the second processor, cause the second computing device to:
generate a smart contract for the physical asset;
receive a parameter for execution of the smart contract, the parameter specifying a condition for execution of the smart contract;
monitor the status update messages for the parameter; and
execute the smart contract when the parameter is detected.
5. A method for dynamic geospatially-referenced cyber-physical infrastructure inventory and asset management using state models, comprising the steps of:
installing a plurality of first computing devices on a plurality of physical assets, each first computing device being attached to one of the physical assets, each first computing device comprising a first memory, a first processor, a device identifier, a geolocation device, and a wireless communication device;
for each physical asset to which a first computing device is attached, using the first computing device to:
periodically determine a geographical location of one or more of the physical asset using the geolocation device of the first computing device attached to the physical asset;
periodically generate a status update message from the first computing device, the status update message comprising the device identifier of the first computing device and the determined geographical location of the physical asset to which the first computing device is attached;
sending the generated status update message via the wireless communication device to a second computing device comprising a second memory, a second processor, and a non-volatile data storage device wherein databases stored on the non-volatile data storage device comprise a multi-dimensional time series database and a state database;
for each physical asset for which a status message is received by the second computing device, using the second computing device to:
update a record associated with that physical asset in the state database with the determined geographical location contained in the status update message received;
store the status update messages as time series data in the multi-dimensional time series database;
generate and update from the time series data a state model of the plurality of physical assets;
where status update message for a particular physical asset of the plurality of physical assets is not received by an expected time, applying a machine learning algorithm to the state model to predict a location of that particular physical asset; and
updating a record in the state database of the particular physical asset with the predicted location.
6. The method of claim 5 , wherein the state database is a decentralized, peer-to-peer blockchain database.
7. The method of claim 6 , wherein the status update message further comprises a condition for execution of a smart contract.
8. The method of claim 7 , wherein the second computing device further comprises a parametric evaluation engine comprising a third plurality of programming instructions stored in the second memory and operating on the second processor, wherein the third plurality of programmable instructions, when operating on the second processor, cause the second computing device to execute the steps of:
generating a smart contract for the physical asset;
receiving a parameter for execution of the smart contract, the parameter specifying a condition for execution of the smart contract;
monitoring the status update messages for the parameter; and
executing the smart contract when the parameter is detected.