Aggregation and distribution of real-time data

• US 10,311,740 B2
• Filed: 06/27/2016
• Issued: 06/04/2019
• Est. Priority Date: 06/27/2016
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Srivastav, Amit, Idupunur, Krishna, Narayanan, Sibu Parakkattu, Koduru, Anantha Chandrasekhar, Merchant, Shafi
• Primary Examiner(s): Antonucci, Anne M
• Assistant Examiner(s): Stroud, James E
• Application Number:
  US15/194,263
• Publication Number:
  US 20170372623A1
• Time in Patent Office: 1,072 Days
• Field of Search: 701 14
• CPC Class Codes: G01S 13/953 mounted on aircraft
• CPC Class Codes: G01W 1/02 Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed G01W1/10 takes precedence
• CPC Class Codes: G01W 2001/006 Main server receiving weather information from several sub-stations
• CPC Class Codes: G01W 2203/00 Real-time site-specific personalized weather information, e.g. nowcasting
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G08G 5/0013 with a ground station
• CPC Class Codes: G08G 5/0021 located in the aircraft
• CPC Class Codes: G08G 5/0026 located on the ground
• CPC Class Codes: G08G 5/0091 for monitoring atmospheric conditions radar or analogous systems specially adapted for meteorological use G01S13/95; meteorology G01W
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer. The data fusion module also considers data prediction information upon receiving a request for predicted data when real-time data is unavailable.

Claims

1. A system for data aggregation and distribution, the system comprising:

a memory storing instructions; and

a processor executing the instructions to perform a process, the process including;

receive a validated and processed data request from a consumer, the data request including a request for information about one or more data types of a plurality of data types;

perform a context building process to generate context information for the data request from the consumer, the context building process including generating derived data requests for at least one data type different than the one or more data types included in the data request from the consumer based on a predicted trajectory and consumer parameters of the consumer;

perform a generate list process to spatially resolve and generate a list of one or more producers from which data can be requested;

perform a filter process to select one or more of the one or more producers that are capable of providing data relevant to the context information for the data request;

transmit a producer data request to the selected producers based on the context information and the selected one or more of the one or more producers;

receive, validate, and process data responses from the selected producers;

generate data prediction information based on accumulated preserved data gathered for one or more prior data requests;

perform a data fusion process to generate a consolidated data response for the consumer by combining at least the validated and processed data responses from the producers with the data prediction information; and

transmit the consolidated data response to the consumer.

2. The system of claim 1, wherein the system is located in a ground center.

3. The system of claim 2, wherein the generate list process includes:

access a repository of registered producers and registered consumers, and

select from the registered producers one or more producers for the list of one or more producers from which data can be requested.

4. The system of claim 1, wherein, to transmit the producer data request, the process further includes create request tags and send the request tags to each of the selected producers through an asynchronous message channel.

5. The system of claim 1, wherein, to generate the data prediction information, the process further includes:

retrieve forecast data from a repository of forecasted data.

6. The system of claim 5, wherein, to generate the consolidated data response, the process further includes:

access a repository of data history and analytics that stores a history of data flow is related to, retrieve historical information associated with areas where real-time data is not available from requested producers, and add the historical information to the at least the validated and processed data responses from the producers with the data prediction information.

7. The system of claim 1, wherein the process further includes:

determine a price of the consolidated data response for the consumer.

8. The system of claim 1, wherein the data request includes one or more items of information of:

flight position coordinates, course, and phase information for the consumer;

a request for real-time data;

an emergency type parameter;

an acceptable delay tolerance;

a data trending request;

or

a predicted data request, and

the context building process includes;

when the validated and processed data request includes the request for real-time data;

extracting geospatial boundaries from the data request comprising polygons that contain points represented by latitude, longitude, and altitude for the region of interest;

determining the geospatial boundaries for the data request; and

performing the generate list process based on information on the geospatial boundaries;

when the data request includes the flight position coordinates;

generating the predicted trajectory of the consumer based on a current position of the consumer and the consumer parameters;

determining flight levels of the predicted trajectory based on the predicted trajectory;

generating the derived data requests for the at least one data type based on the determined flight levels and the consumer parameters; and

transmitting the data request and the derived data requests to the one or more of the one or more producers;

when the data request includes the emergency type parameter;

setting a priority for the data request; and

processing the data request ahead of other data requests with a priority less than the priority of the data request;

when the data request includes an acceptable delay tolerance;

computing a refresh rate based on the delay tolerance; and

processing and transmitting the data request based on the refresh rate;

when the data request includes a data trending request;

performing a data trending process, and transmitting a result of the data trending process with the consolidated data response; and

when the data request includes a predicted data request;

performing a data prediction process, and transmitting a result of the data prediction process with the consolidated data response.

9. The system of claim 1, wherein

the generate list process includes:

obtaining a list of registered producers from a database;

obtaining position reports for all the registered producers;

extracting relevant values from the position reports, including values of latitude, longitude, and altitude of the registered producers;

computing trajectories of the registered producers based on the position reports and vehicle parameters obtained from the database;

obtaining geospatial boundaries of the data request;

based on the computed trajectories of the registered producers, identifying a list of registered producers that are or likely to be within the geospatial boundaries as the list of the one or more producers; and

the filter process includes;

obtaining a set of data types currently available for the list of the one or more producers from the database;

matching the one or more data types of the data request with the data types currently available for the list of the one or more producers to determine which of the list of the one or more producers are available to be the one or more of the one or more producers; and

filtering the available of the list of the one or more producers based on confidence levels to determine the one or more of the one or more producers.

10. The system of claim 1, wherein the system handles delays in making requests to and getting responses from the producers by using an asynchronous mode of data exchange with the consumer using asynchronous message channels, with the process sending asynchronous mode updates depending upon the geospatial nature of the data responses from the producers.

11. The system of claim 10, wherein if total time taken for a data response from the ground center to the consumer is less than or equal to a maximum allowed delay, then the data response from the ground center to the consumer is acceptable.

12. The system of claim 11, wherein the total time taken for a data response from the ground center to the consumer comprises:

time taken for the data request to flow from the consumer to the ground center;

time taken to locate the producers;

time taken to filter the located producers;

time taken to send requests to all filtered producers;

time taken to receive and process responses from the producers;

time taken for data fusion; and

time required to send the data response to the consumer.

13. The system of claim 1, wherein the data fusion process includes:

(a) obtain a geospatial region for the data request;

(b) identify producers capable of providing a response to the data request;

(c) obtain responses to the data requests from the identified producers within a stipulated iteration response time;

(d) identify overlapping responses within the geospatial region;

(e) identify the overlapping responses with respect to flight levels;

(f) identify the overlapping responses with respect to confidence levels;

(g) generate data interpolation based on the flight levels and the confidence levels;

(h) convert each of the responses into a geospatial format;

(i) format the responses in a grid format bounded by geospatial polygons;

(j) generate a single data set of three-dimensional (3D) data fusion;

(k) send the single data set of 3D data fusion to the consumer;

(l) determine whether all identified producers have sent a response within the iteration response time; and

(m) if all identified producers have not sent responses, repeat the data fusion process starting at step (c) until all identified producers have responded within a specified response expected time.

14. The system of claim 13, wherein, prior to generating the single data set of 3D data fusion, the data fusion process further includes:

Identify one or more grids for which there is no real-time data available within the iteration response time; and

obtain predicted data to fill the one or more grids for which no real-time data is available.

15. The system of claim 1, wherein the data fusion process includes:

obtain geospatial polygon regions for a data trending request from the consumer;

obtain a time interval for the data trending request;

determine whether historical real-time data is available from producers;

obtain partial or full historical real-time data from the producers when available;

optionally obtain partial or full historical predicted data from a ground center;

perform data fusion of the available historical real-time data and the historical predicted data when obtained;

identify producers that provide current real-time data for the geospatial polygon regions;

send data request tags to the identified producers;

perform data fusion of current real-time data responses from the identified producers with the data fusion of the available historical real-time data and the historical predicted data when obtained;

packing all historical and current real-time data into a fused data set; and

sending the fused data set to the consumer.

16. The system of claim 15, wherein the data trending request comprises a weather data trending request.

17. A system for operating a mobile consumer application on an electronic user interface in a consumer vehicle, the system comprising:

a memory storing instructions; and

a processor executing the instructions to perform a process, the process including;

obtain position and trajectory information for the consumer;

display a position of the consumer overlaid as an icon along a flight path shown on the user interface based on the position and trajectory information for the consumer;

display a mechanism on the user interface to select a particular geographical location for which aeronautical data is to be requested and receive a selection of a requested aeronautical data;

construct request tags corresponding to the requested aeronautical data;

transmit the request tags to a ground center and receive responses to the request tags from the ground center, the response including the requested aeronautical data and extended taps that contain messages indicating relevant additional information available;

validate the responses;

generate graphics for the user interface that correspond to the valid responses, the generated graphics including graphics for the requested aeronautical data and graphics for the messages indicating the relevant additional information is available;

display on the user interface the flight path of the consumer and the generated graphics; and

transmit a response based on a user input associated the messages, the user input indicating whether a user requests the relevant additional information.

18. A system for operating an onboard sensor utility in a producer vehicle, the system comprising:

a memory storing instructions; and

a processor executing the instructions to perform a process, the process including;

obtain position and trajectory information for the producer;

obtain real-time sensor data from one or more onboard sensors in the producer;

obtain a list of data types or products for which real-time sensor data is available from the one or more onboard sensors;

receive a data request from the ground center through an onboard communication manager and validate the data request; and

send a sensor data request to the one or more onboard sensors in response to receiving and validating the data request; and

generate and transmit a response based on the data request received by the producer, the response including;

the obtained position and trajectory information for the producer when the data request includes a request to identify a current position and trajectory,

information based on the obtained list of data types or products when the data request includes a request for supported data types of the producer, and

information associated with a specific data type of the obtained real-time sensor data when the data request includes a request for the specific data type.

19. The system of claim 18, wherein the one or more onboard sensors are integrated with the processor and are configured to:

process specific spatial queries based on the data request, and

obtain specific spatial sensor data in the obtained real-time sensor data based on the specific spatial queries.