The goal of Building Information Management (BIM) tools is to enable real-time monitoring of the building. For example:
- Real-time monitoring energy consumption
- Monitoring the occupancy ratio and amenity usage for water, gas, plug-load etc.
- Managing the operational / maintenance costs
- Condition-based predictive maintenance
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Dynamic pricing models for hotel and rent-sharing owners. For example:
- calculate the optimal price dynamically (instead of a fixed price) for a hotel room, based on the projected occupancy demand, taking into account the maintenance costs for the duration that it has been vacant so that a set profit margin can be guaranteed.
Other public level use-cases are such as, calculating the appeal of a neighborhood for improving the building desirability (for purchase / rent) in a given area based on:
- safety ranking (e.g. accidents in the region, crimes reported etc.)
- service calls to the municipality (e.g. no. of complaints reported regarding issues such as sewage problems, pot holes on the road etc.)
- mean price of all buildings within that area, how they are trending over a period of time
- health, transport and other service coverage etc.
For Retail business owners: allow retails to perform geo-marketing, and expansion decisions (where should you open your next store ?)
- Market size analytics: Assessment of car and pedestrian accessibility and socio-demographic profile of the area How many people can reach your store by car, by foot and by other means within a certain time limit (e.g. 20 minutes). Should you go with Location A, or Location B to setup your next store?
- Catchment area analysis: Population and Competitors within the area: Based on the No. of households, their median spending amounts, and fleeting population (visitors in case of travel spots), and no. of competitors within the area
Where does the data come from for the building analytics?
The energy data is obtained in two ways:
- One is, estimating it by manually entering all of the electrical devices installed in the building (in the BIM). This is useful for existing / old buildings.
- Second one is, through remote measurement (smart metering techniques) that use Sensor enabled IOT devices. This is an upcoming model where new constructions are adopting this model
- The price data comes from the rental agreements
- The household purchase capacity etc. once again is estimated based on the rental agreement prices
- No. of visitors for an area (the influx floating population) is calculated by using micro metering techniques, such as monitoring the no. of unique mobile signals in a given period of time in that location
There are two descriptive cases that are luring the real estate market in the industry:
- Smart Contracts, and
- Blockchain-based Escrow systems;
The Smart Contracts and Escrow Systems are very closely related to each other in that they both use Blockchain Distributed Ledger for their operations. However they can each be used on its own without having a dependency on the other.
Escrows, for example, can be used in any scenario where third-party untrusted transactions are present. Escrows + Blockchain is possible without Smart contracts, wherein the enforcement is left up to the judiciary system.
Smart contracts, on the other hand, has a much large scope in play, where the main goal is "enforceable terms". It may or may not involve payments or money-transactions, and hence may or may not the escrow systems for its functionality.
The reason for their similarity stems from them both relying on the blockchain for their functionality. In general, they address two different practical needs of the technocracy, the democratization of technology.
At Cenacle we are constantly working on bringing these programmable IOT and Artificial Intelligence (AI) tools closer to more audience with less costs and ease of use.
With the Building Information Management system gathering the data from IOT sensors, we have scenarios for the:
- management of the building information (occupancy ratios, energy utilization etc.),
- tracking it in real-time and dynamic pricing model with auctioning of under-utilized assets etc.
- structural safety rankings
Here is an excerpt from a recent presentation of mine on this topic as part of the Industry 4.0: Converge of AI, Analytics, Blockchain technologies video.
These utilize the data from the Building Information Management with Artificial Intelligence (AI) for:
- Simulation of natural disasters and epidemics
- Evacuation procedures
- Emergency response plans
- Urban growth planning and City management
- Disease Quarantine and zone planning