Sensor risk assessment database

A method comprising:

• in response to a request to generate a risk assessment from a peer of a blockchain network, retrieving, by a node, current sensor data from a most recently stored block of a blockchain ledger of the blockchain network, and retrieving historical sensor data from a previously stored block of the blockchain ledger, where the current sensor data indicates a current condition detected by a first type of sensor of a building and the historical sensor data indicates a previous condition detected by the sensor of the building;
• generating, by the node, a risk assessment of the current condition based on an analysis of the historical sensor data;
• identifying, by the node, the condition as a risk to the building based on the risk assessment;
• receiving, by the node, a communication from an occupant of the building reporting the condition,
• identifying, by the node, an emotional state of the occupant based on analysis of the communication,
• identifying, by the node, a level of the risk to be high based on the emotional state,
• in response to the identifying that the level of the risk is high, activating, by the node, a second type of sensor that is different than the first type of sensor to generate a new type of sensor data that is different than the current sensor data,
• adding, by the node, the new type of sensor data to blocks of the blockchain based on the identification of the emotional state;
• and
• sending, by the node, a notification of the risk to the peer.

A computer program product comprising a non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a node in a blockchain network, cause the processor to perform:

• in response to a request to generate a risk assessment from a peer of the blockchain network, retrieving current sensor data from a most recently stored block of a blockchain ledger of the blockchain network, and retrieving historical sensor data from a previously stored block of the blockchain ledger, where the current sensor data indicates a current condition detected by a first type of sensor of a building and the historical sensor data indicates a previous condition detected by the sensor of the building;
• generating a risk assessment of the current condition based on an analysis of the historical sensor data;
• identifying the condition as a risk to the building based on the risk assessment;
• receiving a communication from an occupant of the building reporting the condition,
• identifying an emotional state of the occupant based on analysis of the communication,
• identifying a level of the risk to be high based on the emotional state,
• in response to the identifying that the level of the risk is high, activating a second type of sensor that is different than the first type of sensor to generate a new type of sensor data that is different than the current sensor data,
• adding the new type of sensor data to blocks of the blockchain based on the identification of the emotional state;
• and
• sending a notification of the risk to the peer.