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Auto Construction AECROS and BIM

What Auto Construction does is to enable mass production of building components and utilize many existing (and upcoming) technologies for the streamlining of Architecture, Engineering, Construction, Real Estate Financing and Sales industries.

AEC(R) OS & Auto Construction

Auto Constructions AECR Operating System engineering continues to design new inventions in a self-complete building system resembling giant, stone finished, self-complete LEGO units.
The many standardized features of this system (insulation, service passages, structural features) enable rapid production and robotic handling of the units (MBUs) to assemble complete smart buildings of a highly desirable nature, economically, structurally and ecologically. In addition to the ordinary features of resistance to fire, flood and hurricanes, these buildings also utilize a selectively thermocoupled mass within the envelope to assist with bioclimatic architecture. The Auto Construction building system offers new capabilities for passive and active bioclimatic designs. These homes will be heated utilizing (in addition to other things) the waste heat of data processing terminals.
Computer “hash power” creates a good use of power overages produced within the highly efficient power network distribution system. The decentralized power and data processing offer additional networked data processing capabilities to assist AI, IOT, BIM, Robotics and other advanced systems operations. In the real world a high demand for these types of structures (Homes, Commercial and Industrial buildings) already exists.

The BIM Process

Quantum computing AI uses point clouds created by flying Drones and IOT LoRa beacons within machines and building blocks (on site and in transit), uplinked by satellites to BIM cloud (and blockchain) and fed into the Design Architecture, Building Software and Blockchain Financial Systems. Data points create Augmented Reality (and phase space) and populates the Building Information Management Cloud for AI assisted human interaction through the AR/BIM/Phase Space environment. The human assisted by AI completes a desired design and the system makes a query to the financing application which sends its qualification parameters to the BIM /NFT token enabled System to show allowable budget, costs and contracts and interacts with BIM and BEX to create project approvals and scheduling to the prospective building owner.

This enables the human to adjust their decision making and adjust building design parameters to fit their own requirements. Upon design completion the AR allows the human (wearing goggles or accessing a computer or smart device) to walk through the actual building site, or virtual representation of it, while seeing the virtual building features in real time and space. The final inspection and approval then allow the building scheduling to begin.

Upon acceptance by all parties, the components requirements are sent to the manufacturing network to adjust inventory. Simultaneously the required building components are shipped to the building location from nearest available inventory.

Machines and crew are dispatched to site to begin site preparations and interact with AR and BIM throughout building process. System creates required scheduling and cranes dispatch to site to arrive with inventory, IOT and LoRa beacons provide real-time tracking data to the logistics portion of the BIM systems. Robotic cranes utilize phase space, IOT and BIM to erect the buildings. Upon completion the final trades complete ancillaries and finishing touches to architecture and property. A final walk through and cleaning is conducted. Final inspection for occupancy is issued and upon receipt the real estate agency receives property listing and 3 D walk through or in the case of presales the occupants take possession.
This will be the first “Drag and Drop” building application in the history of Construction. (“Drag and Drop” applying to both the virtual and the physical worlds.)

The greater the project demand fulfilled, the more efficiently the system will operate both from the perspective of technological and data processing capabilities but also by increasing economies of scale, streamlined manufacturing and transport logistics. Robotics systems (and Blockchain) continuing development and (time) improved AI machine learning will also enhance the systems efficiencies.
The more “exercise” the system and the AI gets, the more efficient it becomes both economically and through enhanced speed in both the digital and physical world. This is in direct opposition to the traditional construction method and AEC industry, where greater volumes more often result in reduced profit margins and decreasing efficiencies as the workload increases.

Automation of the architecture, engineering, financing and construction processes is a new and largely untapped frontier. AC will enable growth and demand for many technologies as we achieve mass adoption.