Abstract
The use of sensor data, data interactions between connected devices, data from physical world sensors and users of these where the data gathered is stored across central computation and storage servers, across multiple data nodes in secure and encrypted distributed ledgers, and the data is interacting with on-device computation and storage capabilities to create data interactive, electronic networks that enables multi-level control, variable access, payment and re-numeration capable, multi-user communications of real-time contextually relevant data, process and workflow data and information among network-connected devices, connected displays, sensors and the actions based on those communications, with the collected data gathered from the interactions stored on cloud based augmented intelligence computation servers and or select data stored in distributed ledger blockchain nodes with smart contract per data node delivering content, information, access and instructions based on past behavior and actions, instructions or computed commands with this data combined with the data of the outcome of these interactions stored on decentralized network of data nodes for immediate benefit, rewards, reoccurring remunerations, disclosure of information and benefits to authorized and approved users as the network-connected devices move from one location to another and/or the data/information flow among those devices change over time.
Claims
1. A multi-level control, variable access, multi-user computer-implemented system adapted for providing on a network, predictably useful, contextually intelligent information among network-connected with data storage based on servers distributed across multiple servers in secure and encrypted manner with algorithms programmed into a data storage programming within a complete system comprising: a first control level having: a first control level user, and a plurality of first level network-connected devices, wherein the first control level user is adapted to control access to said system, data gathered and retained from the interactions, and data retained from interactions and instructions delivered thereto; a second control level having: N second control level users, where N is an integer, a plurality of second level network-connected devices, wherein access to the second control level is controlled by said first control level user and each of N second control level users have access to one or more of said second level network-connected devices where data gathered from communications with N are stored in a data storage system across multiple data storage blocks; a third control level having: m third control level users, where m is an integer, wherein the third control level being controlled by data retained in data blocks and actions created from further interactions also retained and stored in blocks in distributed nodes across data storage servers and data storage devices; a first user mobile communication device associated with a first user; at least one sensor included on said mobile communication device, configured to collect data associated with interaction with the first user in context; a server that is in communication with said mobile communication device; a relationship management system that resides in said server, said relationship management system being configured to be populated with historical demographic data for said first user; wherein all the historical demographic data is stored in blocks within a distributed data storage system; sensor input data transmitted from said first user mobile communication device to said servers from the user's device providing sensor input from sensors within the context of the said first user is in said first user current context; wherein said sensor input data includes data corresponding to a current location of said first user mobile communication device and at least data corresponding to one or more of the group consisting of: current activity of said first user, mental state of said first user, physical state of said first user, mode of travel of said first user, direction of travel of said first user, speed of travel of said first user, level of engagement of said first user in said first user current context, surrounding environment of said first user in said first user current context, identity of one or more persons in addition to said first user and who are nearby said first user in said first user current context, identity of at least one mobile device other than said first user mobile communication device, sensors in the context of said first users, sensors that detect said users' activity, systems and computations systems that enhance and assist the said first user in the current activity in said context, the computation on devices that are in the said user's use or context and that is nearby said first user mobile communication device in said first user current context; wherein the system is configured to perform the steps of: providing said sensor input data from said first user mobile communication device to create acquired first user current data; capturing, by said first user mobile communication device through an image recognition application, real-time image data to create first user captured real-time image data for said first user current context; generating first user current contextual data for said first user from said acquired first user current data and from said first user captured real-time image data for said first user current context; gathering said first user current contextual data to create said first user current contextual data corresponding to said first user's current context; uploading said first user current contextual data corresponding to said first user's current context via a wide area mobile communication network to said server; matching said first user current contextual data corresponding to said first user's current context with said first user historical demographic and environmental data; combining and processing in the relationship management system the first user current contextual data, current environmental data and historical demographic data to define a message relevant to the first user while the first user is in the current context; generating feedback data for said first user that is contextually relevant to said first user's current context and that is predictably useful to said first user as said first user enters a said new context to form first user useful feedback data; and, transmitting to and displaying on said first user mobile communication device said first user useful feedback data to provide said contextually intelligent mobile information.
2. The system of claim 1, further comprising an Augmented Intelligence computation network where connected devices with computation power perform computation based on the capability of each such device in enabling the network's understanding of context, said computation network configured to: retain and transmit computation outcomes to a central CICP, thereby providing a deeper intelligence and understanding of the context of each such device, perform further computations based on the output of the original computation as this is processed by the central computation device and any and all associated smart contract computations performed by the connected blockchain; and perform further communications based on the feedback from such computations and the aggregated understanding of the improved contextual intelligence resulting from such computations.
3. The system of claim 1, wherein the distributed network of nodes, comprises: the at least one connected sensor having data storage capability and communication capabilities; wherein smart contracts are integrated within a blockchain node for on-device computation; and wherein communication of the output from said smart contracts on connected node storage devices are transmitted to a main CICP and stored on the main blockchain for a fully integrated and augmented intelligence data storage network integration to the CICP.
4. The system of claim 3, wherein each node and the access to each node of the distributed network of nodes can be granted via tokens, wherein each token includes: a value associated with each interaction, action and/or event; and an associated smart contract; said nodes configured to interface with the CICP to verify, record and retain any interactions, content, instructions, outcomes, actions, events, commands or other associated computations, wherein said nodes are further configured to: collect data related to a token owner's real-world interactions with the CICP, including performance of tasks that trigger actions and associated communications within the network; and store owner interaction data relating to at least one of: a main distributed ledger block chain, the CICP, and edge data storage nodes.
5. The system of claim 4, wherein the edge data storage nodes are a physical device that acts as a token, namely at least one of the group consisting of: an automobile key, magnetic card, implanted device, augmented reality glasses or regular mobile communication device or wearable.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The foregoing aspects and the attendant aspects of the present disclosure will become more readily appreciated by reference to the following detailed description, when taken in conjunction with the accompanying drawings, wherein:
(2) FIG. 1 is a schematic overview of a IoETCICP system with a sensor gathering data, sending this to the CICP and the CICP storing the data in a database.
(3) FIG. 2 is a schematic overview the of the FIG. 1 IoETCICP system with additional sensor.
(4) FIG. 3 is a schematic overview of the FIG. 2 IoETCICP system connected to a Sensor Hub with numerous sensors connected to the IoETCICP with the FIG. 4 is a schematic overview FIG. 3 IoETCICP system connected to and communicating in a bi-directional manner with a mobile device.
(5) FIG. 5 is a schematic overview of the FIG. 4 IoETCICP system connected and communication in bi-directional fashion with a blockchain data storage and distributed ledger system including Smart Contract algorithms in the block chain.
(6) FIG. 6 illustrates how an incident or event is detected by sensors and this event creates data that is communicated to the FIG. 4 IoETCICP and stored in a Blockchain data storage system.
(7) FIG. 7 illustrates how an incident or event is detected by sensors and this event creates data that is communicated to the FIG. 4 IoETCICP and stored in a Blockchain data storage system as illustrated in FIG. 6, and then the computation performed by smart contracts within the data nodes in the blockchain data storage system is used to send instructions to sensor system.
(8) FIG. 8 illustrates how the data such as information about the events, actions, communications, instructions etc. delivered in FIG. 7 is stored in an additional, supported, integrated or within the original distributed ledger platform, aka blockchain.
(9) FIG. 9 illustrates how the data gathered from the event is communicated to a communication device that is connected via a CICP and various knowledge data about the event and the context around the event.
(10) FIG. 10 is an infographic overview of various levels of actions within a blockchain, the various interfaces, sensors as well as gateways and API interfaces.
(11) FIG. 11 depicts a schematic on how a block chain solution created for education, employers is integrated into a system used by management, educators, for R&D and operations.
(12) FIG. 12 is a schematic representation of the system shown in FIG. 7 where it interacts with a venue where various equipment, sensors and controlled actuators such as door locks are integrated.
(13) FIG. 13 is a schematic representation of the system shown in FIG. 12 with data storage in a distributed ledger system, aka blockchain.
(14) FIG. 14 is a schematic representation of the system shown in FIG. 13 with data storage in a distributed ledger system, aka blockchain with an added communication link back to the system to deliver information, instructions, commands or other communications based on the output from algorithmic calculations within the blockchain, aka smart contracts.
(15) FIG. 15 is a schematic representation of a person who is wearing a series of connected devices and sensors within a series of connected devices, some that are connected via various communication hubs and connected via high speed communication such as 5G and noted as such to a complete system as shown in FIG. 8.
(16) FIG. 16 is a schematic representation of a person who is wearing a series of connected devices and sensors within a series of connected devices, some that are connected via various communication hubs and connected via high speed communication such as 5G and noted as such to a complete system as shown in FIG. 8 with a defined data repository defined as “Personal Data Storage”.
(17) FIG. 17 is a schematic representation of is a schematic representation of a person who is wearing a series of connected devices and sensors within a series of connected devices, some that are connected via various communication hubs and connected via high speed communication such as 5G and noted as such to a complete system as shown in FIG. 8 with a control of the data within his personal data storage enabling “Self Sovereignty” of his personal data.
(18) FIG. 18 is a schematic overview of a farm, the animals at the farm, the structures on the farm, the human workers and farmers there, with sensors on all as well as within and across the fields with local weather and growing conditions captured via sensors—all of which are connected via various communication protocols and methods via a variety of dedicated communication devices or standard mobile phones—to a common CICP.
(19) FIG. 19 depicts the same farm and its connected sensors and communication devices communicating via the CICP to a system as presented within FIG. 14 with all the features defined therein.
(20) FIG. 20 depicts a CICP that is communicating via and with Social Media through standard web interfaces, as well as with sensors systems and sensors at any combination of a venue, or venues, a bar or bars, a player or multiple players using VR and or wearing sensors, an e-game player, an e-game team or an e-game league, a video game console or multiple consoles of same or various brands, at a TV, monitor, mobile phone, tablet, laptop, TV or game console that is displaying linear content OTT (over the top) or via traditional broadcast to a home or multiple homes.
(21) FIG. 21 depicts the system in FIG. 20 connected to and communicating via the CICP to a system as presented within FIG. 14 with all the features defined therein.
(22) FIG. 22 depicts a person that is wearing a series of connected products such as a costume, uniform, sports equipment or other wearables that are connected with a communication device such as a mobile phone that is connected with the system depicted in FIG. 21.
(23) FIG. 23 depicts the same person as in FIG. 22 with additional persons with connected wearables that are communicating via the same CICP to the system defined in FIG. 14.
(24) FIG. 24 depict the decision tree used to drive better outcomes by learning from various options presented delivering a learning and self improving system of advancing intelligently based decisions.
(25) FIG. 25 depicts a schematic of a connected auto key that is communication with a system as defined with FIG. 14 and the self sovereignty as defined in FIG. 17
(26) FIG. 26 depicts the key in FIG. 25 connected with a loyalty data system such as a “auto loyalty program”.
(27) FIG. 27 depicts the same key in FIG. 26 connected with various additional loyalty, rewards and membership programs.
(28) FIG. 28 is a schematic overview of various blockchain systems and their integrated and associated applications can be interoperative via a common CICP
(29) FIG. 29 is a schematic overview of various integrations of applications and application back-end systems within a blockchain system
(30) FIG. 30 is an infographic representation of a smart city connected with a CICP and a system as defined in FIG. 14 delivering data experiences and controls into an intelligent city with constituent's ability to “self sovereignty” of their data across the city and various use cases they encounter during their life there.
(31) FIG. 31 is an infographic depicting an intelligent Smart City installation.
(32) FIG. 32 is an infographic depicting a common collaborative platform across product providers, logistics, shipping and retail, data share, social media and data controls and capture via a system as defined in FIG. 8.
(33) FIG. 33 is an infographic depicting a contextually intelligent communication platform integrated with internet of things showing how the combined platform delivers Augmented Intelligence to EveryThing.
(34) FIG. 34 is an infographic showing the interactions in the logistics process “From Farm to Table” where each step and node is captured and retained by the system.
(35) FIG. 35 is an infographic representation of the typical processes and steps in the logistic chain and where communication back from the systems can be enabled and activated next step in the logistic process.
(36) FIG. 36 depicts the difference between traditional supply channel management and the system described within this invention.
(37) FIG. 37 is an infographic depicting a smart home connected with a blockchain and the data capture and personal data there and beyond into a blockchain network connected via a platform of platforms in FIG. 14.
(38) FIG. 38 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various data sources and information gathering sources.
(39) FIG. 39 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various artificial intelligence, personalization and other data and information gathering sources.
(40) FIG. 40 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various cognitive units such as smart card and associated information gathering sources.
(41) FIG. 41 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various self identity and self sovereignty enabled data sources and information gathering sources.
(42) FIG. 42 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various use cases, third party companies and solutions, data sources and information gathering sources associated with a traveler as he travels.
(43) FIG. 43 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various use cases, third party companies and solutions, data sources and information gathering sources associated with a traveler as he travels as shown in FIG. 42 with an integrated payment.
(44) FIG. 44 is an infographic showing the payment aspects and the integration of the various enabled payment physical tokens.
(45) FIG. 45 is an infographic showing the details and features in a mobile payment solution that is integrated with the solutions defined in FIG. 14.
(46) FIG. 46 is an infographic showing the way a system as defined in FIG. 14 can be integrated with multiple payment processing platforms.
(47) FIG. 47 is an infographic showcasing how the platform shown in FIG. 14 can be integrated with security cameras, surveillance cameras, wearables and sensors with a CICP platform that can send instructions to staff members based on their location on their connected wearable.
(48) FIG. 48 is an infographic that shows multiple solutions as defined in FIG. 14 across multiple installations from homes, to autos, to surveillance to factories.
(49) FIG. 49 is an infographic showing the solution described in FIG. 14 in use for teaching, learning and predictive data analysis.
(50) FIG. 50 is an infographic showing the centralized data collection across a sport team and how the various aspects delivers a single pane data dashboard as part of the system defined in FIG. 14.
(51) FIG. 51 is an infographic showing more detail on users of the dashboard of the systems depicted in FIG. 50.
(52) FIG. 52 is a schematic overview of the use of the platform as defined in FIG. 14 as used to capture sensor data and deliver workflow commands across an airport example.
(53) FIG. 53 is a schematic overview of the use the platform as defined in FIG. 14 as used to capture sensor data and deliver nutritional and food intake recommendations for an athlete.
(54) FIG. 54 is a schematic overview of the use the platform as defined in FIG. 14 as used to capture sensor data and deliver nutritional and food intake recommendations for an athlete with further details than defined in FIG. 53.
(55) FIG. 55 is a schematic overview of the BOTT—Build Operate Train and Transfer business model used to further innovation and education using a system as defined in FIG. 14.
(56) FIG. 56 is a schematic showing a solution such as defined in FIG. 23 deployed at an airport and integrated with digital signage, sensors and mobile devices.
(57) FIG. 57 is a schematic describing high level actions within a system as defined in FIG. 14 in use across a venue such as an airport and in use to track assets such as wheel chairs and airport buggies.
(58) FIG. 58 is a schematic showing a solution such as defined in FIG. 23 deployed at an airport and integrated with sensors and mobile devices to improve workflow and dispatch of staff members using Augmented Intelligence.
(59) FIG. 59 is a schematic showing the various aspects such as objectives and dependencies associated with a system such as the one presented in FIG. 58.
(60) FIG. 60 is a schematic representation of the Single Pane dashboards presented by a solution as described in FIG. 23 customized to fit a standard computer monitor or a mobile device.
(61) FIG. 61 depicts an installation of a system as described in FIG. 27 across and airport and the interactions on various devices with a traveler as he moves across the airport on his journey.
(62) FIG. 62 depicts how a system such as described in FIG. 23 can provide interactive and personalized way finding and directions on interactive digital screens and port these instructions onto a mobile device of the user standing in front of said display.
(63) FIG. 63 depicts a schematic where a mall has a system such as the one described in FIG. 14 and the ways this can improve mall operations.
(64) FIG. 64 depicts a schematic where a hotel operator has a system such as the one defined in FIG. 14 integrated and the ways it can interact with the hotel visitor during his travels.
(65) FIG. 65 depicts how a hotel operator that has a system such as the one defined in FIG. 14 integrated can empower guests and employees to deliver satisfaction.
(66) FIG. 66 is an infographic addressing some of the known issues around office space utility that a system such as the one presented in FIG. 14 can address.
(67) FIG. 67 is an infographic presenting a series of use cases for a connected office solution integrated with a platform such as the one described in FIG. 14.
(68) FIG. 68 is a schematic showing how a system such as the one described in FIG. 14 can be used to create enhanced journeys for a traveler on a train, deliver data and dynamic pricing capability of the operator of the system.
(69) FIG. 69 is an infographic showing how a system such as the one described in FIG. 14 can be used to communicate with patients post operations via a solution such as a discharge kit.
(70) FIG. 70 is an infographic showing more details of the solution described in FIG. 69 where a system such as the one described in FIG. 14 can be used to communicate with patients post operations via a solution such as a discharge kit.
(71) FIG. 71 is a schematic infographic showing how a system such as the one described in FIG. 14 can be used as a multi-tenant platform
(72) FIG. 72 is a schematic overview of a block chain mining operation that is powered by alternative electric power sources such as wind, solar, hydro that is controlled and distributed via a CICP control system that is connected to a system such as the one described in FIG. 14 and a system such as the one described in FIG. 23 for controls of staff members at any of the locations.
(73) FIG. 73 is an infographic overview of a FIG. 14 system installed and integrated across a chain of hospitals and integrated with insurance companies.
(74) FIG. 74 is an infographic overview of a FIG. 28 system installed and integrated across a country or organization that has multiple communications across its installations.
(75) FIG. 75 is an overview schematic representation showing how third party solutions can be integrated with the FIG. 28 solution.
(76) Reference symbols or names are used in the Figures to indicate certain components, aspects or features shown therein. Reference symbols common to more than one Figure indicate like components, aspects or features shown therein.
DETAILED DESCRIPTION OF INVENTION
(77) In accordance with embodiments described herein interactive, electronic networks, in the form of computer-implemented, enterprise applications or platforms according to the present disclosure will be described in detail. The embodiments herein are presented in a systems level description. Specific examples of code have been written, select installations have been deployed, tested and verified, and other specific code can be written by persons of ordinary skill in these fields of technologies and that would enable operation of the inventions described herein. Techniques and commercially available applications for generation of such specific computer-implemented code are well-known and the capability to write such code is well within the level of skill of ordinary coders who work in this field of technology.
(78) In its most general sense, the present invention is a computer-implemented enterprise application or platform configured to provide functionality as further described. Embodiments of the application or platform are preferably intended to work in conjunction with the systems and processes described in International application PCT/US13/062504, U.S. application Ser. No. 14/040,677, filed 28 Sep. 2013, now U.S. Pat. No. 9,338,622 issued May 10, 2016, U.S. provisional application 61/882,593, filed 25 Sep. 2013, U.S. provisional application 61/709,710, filed 4 Oct. 2012, U.S. provisional application 62/324,283, filed 18 Apr. 2016, and U.S. provisional application 62/379,150, filed 24 Aug. 2016, (the subject matter of which is individually and collectively referred to as contextually intelligent communication platform(s) or CICP(s)), and each of which is incorporated herein by reference. The presently described embodiments do not depend or rely on the CICP, but preferably include one or more aspects, components and/or features of the CICP incorporated by reference herein.
(79) The presently described embodiments are directed to CICPs that have a communication link to transmit relevant and important data sets into a connected and integrated block chain, which preferably is a distributed ledger blockchain with smart contracts, Know Your Customer (KYC) and Anti Money Laundry (AML) compliance and Smart Contract (SC) capabilities, with the capability to execute commands based on these SC's in and these commands are integrated with the CICP. Standard and off the shelves blockchains can also be integrated for data storage.
(80) Also, the blockchain is preferably used to store relevant and important data in such as fashion that it can be accessed by approved parties at future times
(81) The data stored in the blockchain can be amended as time goes by with additional data relevant to the blockchain from the original CICP and devices and sensors integrated with it in future interactions.
(82) The SCs within the blockchain can send commands to the original CICP and it can then send appropriate computed commands to those devices connected with it.
(83) In future and other use cases, the blockchain can be integrated with other blockchains which will gather data and this data are then stored in the blockchain.
(84) In future and other use cases, the SCs within the blockchain can the interact with other CICPs and those devices associated and integrated with it.
(85) In future and other use cases, multiple CICPs can be integrated with the blockchain and data retained within it.
(86) In future and other use cases, the SCs within the blockchain can the interact with multiple other CICPs and those devices associated and integrated with it.
(87) The blockchain can also be connected with a multitude of different CICPS such as SHCICPs, IoEVCICP and MTCICP with the associated devices and integrated devices for each.
(88) The blockchain's SCs can also be connected with a multitude of different CICPS such as SHCICPs, IoEVCICP and MTCICP with the associated devices and integrated devices for each.
(89) The blockchain can enable tokenized across all elements.
(90) These tokens can be used to conduct, verify and compensate for services and transfer of ownership of goods or properties or content, grant access or otherwise exchange information typically performed as monetary transactions.
(91) The integrated blockchain and the various CICPs can leverage edge computation across the network of connected and integrated devices.
(92) Each connected device can be programmed with a version of the SCs in the main and associated blockchain to facilitate efficient data transmissions.
(93) Each of these edge computation devices that has a data storage capability can be a node in the blockchain for distributed data storage on each connected edge device with data storage and connectivity capabilities.
(94) The multiple layers of control and multiple types of access control within and spanning the multiple layers are advantageous aspects of the present application, and enable to capability of sending the data to the correct or right data storage node on the blockchain.
(95) Multiple algorithms can be created and integrated with the various CICPS and Blockchain. These can deliver contextual intelligence, augmented intelligence, artificial intelligence, machine learning, self-learning and other programmatic systems such as the auditory intelligence “Sound Scape” platform “AMIS” described or the advanced sensor intelligence systems named “SENSE” where all of these components together with the edge devices, communication devices, cloud and on device data storage within and beyond the blockchains, the on-device edge computation combined with the aggregated computation capability of the entire system drive towards the “singularity” envisioned by numerous AI researches, futurists, professors, educators and authors.
(96) With reference to FIGS. 1 through 8, preferred embodiments of the interactive sensor data gathering CICP solutions with data storage across multiple data bases that can be shared across multiple distributed ledgers, aka “blockchains”.
(97) As can be seen in FIG. 1, a CICP, 5101 is connected with a Sensor A, 5103 and receives data from it. This sensor data is stored in Database 5105.
(98) FIG. 2 depicts a system where there is a CICP, 5107 that is connected with multiple Sensors, 5109 and 5111. These sensors transmit data to the CICP, namely “Sensor data”Y”” and “Sensor Data “X””. The CICP transmits this data to the database, 5113.
(99) FIG. 3 depicts a system where a IoETCICP, 5115, is connected to 2 sensors, 5117 and 5119 and a Sensor Hub and Control Center, 5121 which is connected with a Sensor bank 5123. The IoETCICP collects the data from Sensors 5117 and 5119, and stores this in database 5125. The IoETCICP sends controls and commands to the Sensor hub 5121 which controls the various sensors in the sensor bank 5123. All data, commands, resulting data captured and all actions and events after the commands and actions, events and results thereafter—all data is collected via the IoETCICP and stored in the Database 5125.
(100) FIG. 4 depicts the system described in FIG. 3 with an added component, the mobile device 5143 which is in bi-directional communication with the IoETCICP 5135.
(101) FIG. 5 depicts the system described in FIG. 4 with data storage added in a Blockchain—5147 with individual node 5149 that contains a smart contract with collected sensor data shown as “ZWYZi” stored in the blockchain node.
(102) FIG. 6 depicts a solution where the system depicted in FIG. 5 has an added sensor that can detect an event “Incident “&””, 5155, and record and retain data associated with it with in the blockchain 5151 and in the smart contract. The “incident” can be an event, an action, a movement, an NFC tap, a proximity beacon sync, a QR code read, a manual trigger, an automatic trigger, a sensor tripping a range, an alarm sounding, a vision recognition system, an AR target recognition, a facial recognition trigger or any other action that is recorded and retained.
(103) FIG. 7 depicts solution like the one depicted in FIG. 6 connected with a system like the one depicted in FIG. 4 with a blockchain, 5161, with smart contracts that control system depicted in FIG. 4.
(104) FIG. 8 depicts the solution depicted in FIG. 7 with a distributed ledger blockchain—5171—with multiple nodes within it.
(105) With reference to FIG. 9, an instance, event and action can be recorded via a NFC tap on a mobile communication device with data captured based on that moment and it's context with the data stored in a blockchain platform as presented in FIG. 14.
(106) With reference to FIG. 10, multiple chains, gateways, sensor data and sensor data capture methods are shows as integrated parts, components, features, modules and interfaces of a systems such as the one presented in FIG. 8. This can be included as a high level architect across all and any of the systems described herein, but none are dependent upon this as the only architecture.
(107) With reference to FIG. 11, a blockchain such as the one presented in FIG. 8 can be used for education, the management of the students and those that educate them, those that test the student and the results of such tests.
(108) With reference to FIG. 12, the solution presented in FIG. 7 can be integrated with various connected sensors, equipment and devices that can enable access. The data and instructions come from a CICP solution that is connected with a connected block chain and data storage and interactions as described in FIG. 7.
(109) FIG. 13 depicts the solution described in FIG. 12 with a distributed ledger data storage and associated data storage nodes integrated.
(110) FIG. 14 depicts the system with smart contract included in the distributed ledgers and nodes, one with an output only, “A” and one with bi-directional capabilities—i.e. sending commands and results of computation within the smart contract and receiving and capturing input and feedback from outbound instructions.
(111) FIG. 15 depicts a person wearing assorted clothing and wearables that individually are communicating with a central communication hub which communicates with a CICP with high speed communication such as 5G.
(112) FIG. 16 depicts the person in FIG. 15 connected with a CICP and solution as depicted in FIG. 8 that has a dedicated personal data storage capability. FIG. 17 depicts the solution depicted in FIG. 16 with Personal Data Storage and SELF SOVEREIGNTY of personal data usage in real world settings.
(113) FIG. 16 is a schematic representation of a person who is wearing a series of connected devices and sensors within a series of connected devices, some that are connected via various communication hubs and connected via high speed communication such as 5G and noted as such to a complete system as shown in FIG. 8 with a defined data repository defined as “Personal Data Storage”.
(114) FIG. 17 is a schematic representation of is a schematic representation of a person who is wearing a series of connected devices and sensors within a series of connected devices, some that are connected via various communication hubs and connected via high speed communication such as 5G and noted as such to a complete system as shown in FIG. 8 with a control of the data within his personal data storage enabling “Self Sovereignty” of his personal data.
(115) FIG. 18 is a schematic overview of a farm, the animals at the farm, the structures on the farm, the human workers and farmers there, with sensors on all as well as within and across the fields with local weather and growing conditions captured via sensors—all of which are connected via various communication protocols and methods via a variety of dedicated communication devices or standard mobile phones—to a common CICP. These communication nodes can be sensors with communication protocols enabling direct communication with the CICP or near field or close range communication with a mobile devices such as a phone that can capture the on-boarded sensor data and transmit to the CICP, or enable a connections and communications as a hub. The sensors can be data gathering only, they can have on-board data storage capability or even on-board computation processors to enable edge-computing and can also be integrated with mechanical or electro-mechanical control solutions that can do commands such as “open”, “close”, “on”, “off” or any other commands.
(116) FIG. 19 depicts the same farm and its connected sensors and communication devices communicating via the CICP to a system as presented within FIG. 14 with all the features defined therein.
(117) FIG. 20 depicts a CICP that is communicating via and with Social Media through standard web interfaces, as well as with sensors systems and sensors at any combination of a venue, or venues, a bar or bars, a player or multiple players using VR and or wearing sensors, an e-game player, an e-game team or an e-game league, a video game console or multiple consoles of same or various brands, at a TV, monitor, mobile phone, tablet, laptop, TV or game console that is displaying linear content OTT (over the top) or via traditional broadcast to a home or multiple homes.
(118) FIG. 21 depicts the system in FIG. 20 connected to and communicating via the CICP to a system as presented within FIG. 14 with all the features defined therein.
(119) FIG. 22 depicts a person that is wearing a series of connected products such as a costume, uniform, sports equipment or other wearables that are connected with a communication device such as a mobile phone that is connected with the system depicted in FIG. 21.
(120) FIG. 23 depicts the same person as in FIG. 22 with additional persons with connected wearables that are communicating via the same CICP to the system defined in FIG. 14.
(121) FIG. 24 depict the decision tree used to drive better outcomes by learning from various options presented delivering a learning and self improving system of advancing intelligently based decisions.
(122) FIG. 25 depicts a schematic of a connected auto key that is communication with a system as defined with FIG. 14 and the self sovereignty as defined in FIG. 17
(123) FIG. 26 depicts the key in FIG. 25 connected with a loyalty data system such as a “auto loyalty program”.
(124) FIG. 27 depicts the same key in FIG. 26 connected with various additional loyalty, rewards and membership programs.
(125) FIG. 28 is a schematic overview of various blockchain systems and their integrated and associated applications can be interoperative via a common CICP. Multiple types of blockchain systems support the completion of a bi-directional transaction between two applications, involving computational resources across blockchain systems where some maybe operated (or owned) by different entities. In FIG. 28 applications X and Y are each employing different blockchain systems relating to currency/payments and asset ownership. Each blockchain system implements a different semantic logic and each operates under a different permissioning regime. When application X seeks to interact with foreign application Y, each may not have sufficient privileges to read from the permissioned blockchain where their previous transactions have been confirmed. Thus, when application X wishes to transfer (to Y) asset “ownership” (e.g. land deed) currently in blockchain system No. 1 (permissioned), application Y has no way to validate the ownership of the asset. This is because the foreign application Y does not have authorization to read from the ledger in blockchain system No. 1. This problem is further compounded in the case of smart contracts that incorporate parts of the business logic of the applications: The minimal assumption for interoperable blockchain systems with regards to the notion of transaction units. In other words, what is the “datagram” equivalent of transactions—namely the transaction unit that is semantically understandable (processable) by multiple different blockchain systems. ⋅Degrees of permissionability: Currently the permissionless/permissioned distinction refers to the degree to which users can participate in the system. Interoperability across permissioned blockchains poses additional questions with regards to how data recorded on the ledger can be referenced (referred to or “pointed to”) by transactions in a foreign domain (i.e. another blockchain system). Degrees of anonymity: There are at least two (2) degrees of anonymity that is relevant to blockchain systems. The first pertains to the anonymity (i.e. identity-anonymity) of the users and the second to that of the nodes participating in processing transactions (e.g. nodes participating in a given consensus instance). Combinations are possible, such as where a permissioned system may require all consensus nodes to be strongly authenticated and identified, but allows for end-users to remain permission-less (and even unidentified/unauthenticated) and such as system is presented as the common CICP.
(126) FIG. 29 is a schematic overview of various integrations of applications and application back-end systems within a blockchain system
(127) FIG. 30 is an infographic representation of a smart city connected with a CICP and a system as defined in FIG. 14 delivering data experiences and controls into an intelligent city with constituent's ability to “self sovereignty” of their data across the city and various use cases they encounter during their life there.
(128) FIG. 31 is an infographic depicting an intelligent Smart City installation where solutions, use cases, areas of influence, end users, installations, equipment, buildings and any assorted services such as utility, law enforcement, communication, transportation, sanitation, water, health, electricity, lighting or other city delivered services and any connected device as connected with a cloud based CICP that is connected with a system as described in FIG. 14 and can enable Self Sovereignty of the date captured for the constituents, visitors, travelers, staff, service providers or others within the city that are interacting with the CICPs and or the system depicted in FIG. 14.
(129) FIG. 32 is an infographic depicting a common collaborative platform across product providers, logistics, shipping and retail, data share, social media and data controls and capture via a system as defined in FIG. 8.
(130) FIG. 33 is an infographic depicting a contextually intelligent communication platform integrated with internet of things showing how the combined platform delivers Augmented Intelligence to EveryThing and how these can be integrated with the solution as depicted in FIG. 14.
(131) FIG. 34 is an infographic showing the interactions in the logistics process “From Farm to Table” where each step and node is captured and retained by the system and how this can be integrated with a solution such as the one depicted in FIG. 19.
(132) FIG. 35 is an infographic representation of the typical processes and steps in the logistic chain and where communication back from the systems can be enabled and activated next step in the logistic process and how this can be integrated with a solution such as the one depicted in FIG. 19.
(133) FIG. 36 depicts the difference between traditional supply channel management and the system described within this invention.
(134) FIG. 37 is an infographic depicting a smart home connected with a blockchain and the data capture and personal data there and beyond into a blockchain network connected via a platform of platforms in FIG. 14.
(135) FIG. 38 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various data sources and information gathering sources.
(136) FIG. 39 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various artificial intelligence, personalization and other data and information gathering sources.
(137) FIG. 40 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various cognitive units such as smart card and associated information gathering sources.
(138) FIG. 41 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various self identity and self sovereignty enabled data sources and information gathering sources.
(139) FIG. 42 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various use cases, third party companies and solutions, data sources and information gathering sources associated with a traveler as he travels.
(140) FIG. 43 is an infographic showing the integration of the various CICPS and blockchains such as those defined in FIG. 14 integrated with various use cases, third party companies and solutions, data sources and information gathering sources associated with a traveler as he travels as shown in FIG. 42 with an integrated payment.
(141) FIG. 44 is an infographic showing the payment aspects and the integration of the various enabled payment physical tokens when integrated with a system as depicted in FIG. 14.
(142) FIG. 45 is an infographic showing the details and features in a mobile payment solution that is integrated with the solutions defined in FIG. 14.
(143) FIG. 46 is an infographic showing the way a system as defined in FIG. 14 can be integrated with multiple payment processing platforms.
(144) FIG. 47 is an infographic showcasing how the platform shown in FIG. 14 can be integrated with security cameras, surveillance cameras, wearables and sensors with a CICP platform that can send instructions to staff members based on their location on their connected wearable.
(145) FIG. 48 is an infographic that shows multiple solutions as defined in FIG. 14 across multiple installations from homes, to autos, to surveillance to factories.
(146) FIG. 49 is an infographic showing the solution described in FIG. 14 in use for teaching, learning and predictive data analysis.
(147) FIG. 50 is an infographic showing the centralized data collection across a sport team and how the various aspects delivers a single pane data dashboard as part of the system defined in FIG. 14.
(148) FIG. 51 is an infographic showing more detail on users of the dashboard of the systems depicted in FIG. 50.
(149) FIG. 52 is a schematic overview of the use of the platform as defined in FIG. 14 as used to capture sensor data and deliver workflow commands across an airport example.
(150) FIG. 53 is a schematic overview of the use the platform as defined in FIG. 14 as used to capture sensor data and deliver nutritional and food intake recommendations for an athlete.
(151) FIG. 54 is a schematic overview of the use the platform as defined in FIG. 14 as used to capture sensor data and deliver nutritional and food intake recommendations for an athlete with further details than defined in FIG. 53.
(152) FIG. 55 is a schematic overview of the BOTT—Build Operate Train and Transfer business model used to further innovation and education using a system as defined in FIG. 14.
(153) FIG. 56 is a schematic showing a solution such as defined in FIG. 23 deployed at an airport and integrated with digital signage, sensors and mobile devices.
(154) FIG. 57 is a schematic describing high level actions within a system as defined in FIG. 14 in use across a venue such as an airport and in use to track assets such as wheel chairs and airport buggies.
(155) FIG. 58 is a schematic showing a solution such as defined in FIG. 23 deployed at an airport and integrated with sensors and mobile devices to improve workflow and dispatch of staff members using Augmented Intelligence.
(156) FIG. 59 is a schematic showing the various aspects such as objectives and dependencies associated with a system such as the one presented in FIG. 58.
(157) FIG. 60 is a schematic representation of the Single Pane dashboards presented by a solution as described in FIG. 23 customized to fit a standard computer monitor or a mobile device.
(158) FIG. 61 depicts an installation of a system as described in FIG. 27 across and airport and the interactions on various devices with a traveler as he moves across the airport on his journey.
(159) FIG. 62 depicts how a system such as described in FIG. 23 can provide interactive and personalized way finding and directions on interactive digital screens and port these instructions onto a mobile device of the user standing in front of said display.
(160) FIG. 63 depicts a schematic where a mall has a system such as the one described in FIG. 14 and the ways this can improve mall operations.
(161) FIG. 64 depicts a schematic where a hotel operator has a system such as the one defined in FIG. 14 integrated and the ways it can interact with the hotel visitor during his travels.
(162) FIG. 65 depicts how a hotel operator that has a system such as the one defined in FIG. 14 integrated can empower guests and employees to deliver satisfaction.
(163) FIG. 66 is an infographic addressing some of the known issues around office space utility that a system such as the one presented in FIG. 14 can address.
(164) FIG. 67 is an infographic presenting a series of use cases for a connected office solution integrated with a platform such as the one described in FIG. 14.
(165) FIG. 68 is a schematic showing how a system such as the one described in FIG. 14 can be used to create enhanced journeys for a traveler on a train, deliver data and dynamic pricing capability of the operator of the system.
(166) FIG. 69 is an infographic showing how a system such as the one described in FIG. 14 can be used to communicate with patients post operations via a solution such as a discharge kit.
(167) FIG. 70 is an infographic showing more details of the solution described in FIG. 69 where a system such as the one described in FIG. 14 can be used to communicate with patients post operations via a solution such as a discharge kit.
(168) FIG. 71 is a schematic infographic showing how a system such as the one described in FIG. 14 can be used as a multi-tenant platform
(169) FIG. 72 is a schematic overview of a block chain mining operation that is powered by alternative electric power sources such as wind, solar, hydro that is controlled and distributed via a CICP control system that is connected to a system such as the one described in FIG. 14 and a system such as the one described in FIG. 23 for controls of staff members at any of the locations.
(170) FIG. 73 is an infographic overview of a FIG. 14 system installed and integrated across a chain of hospitals and integrated with insurance companies.
(171) FIG. 74 is an infographic overview of a FIG. 28 system installed and integrated across a country or organization that has multiple communications across its installations.
(172) FIG. 75 is an overview schematic representation showing how third party solutions can be integrated with the FIG. 28 solution
