Artificial intelligence system for integrity operating window optimization

Abstract

Various embodiments described herein relate to an artificial intelligence system for integrity operating window optimization related to one or more assets. In this regard, a request to obtain one or more insights related to one or more assets is received. The request includes an asset descriptor describing the one or more assets. In response to the request, aspects of aggregated operational technology data within a knowledge graph data structure are correlated to provide the one or more insights. Additionally, one or more operational limits for the one or more assets are adjusted based on the one or more insights associated with the knowledge graph data structure.

What is claimed is: 
     
         1 . A system, comprising:
 one or more processors;   a memory; and   one or more programs stored in the memory, the one or more programs comprising instructions configured to:
 receive a request to obtain one or more insights related to one or more assets, the request comprising:
 an asset descriptor describing the one or more assets; and 
 
 in response to the request:
 correlate, based on the asset descriptor, attributes of aggregated operational technology data within a knowledge graph data structure to provide the one or more insights, wherein the knowledge graph data structure is configured as an ontological data structure that captures relationships among respective aggregated operational technology data within the knowledge graph data structure; and 
 adjust one or more operational limits for the one or more assets based on the one or more insights associated with the knowledge graph data structure. 
 
   
     
     
         2 . The system of  claim 1 , the one or more programs further comprising instructions configured to:
 adjust the one or more operational limits for the one or more assets in response to determining that a degree of deviation for the one or more operational limits satisfies a defined criterion.   
     
     
         3 . The system of  claim 1 , the one or more programs further comprising instructions configured to:
 adjust the one or more operational limits for the one or more assets in response to determining that adjustment of the one or more operational limits provides a certain degree of optimization for one or more processes performed by the one or more assets.   
     
     
         4 . The system of  claim 1 , the one or more programs further comprising instructions configured to:
 generate one or more integrity operating window recommendations for the one or more assets based on the one or more insights; and   adjust the one or more operational limits based on the one or more integrity operating window recommendations.   
     
     
         5 . The system of  claim 1 , the one or more programs further comprising instructions configured to:
 predict one or more operating conditions for the one or more assets based on the one or more insights; and   adjust the one or more operational limits for the one or more assets based on the one or more operating conditions for the one or more assets.   
     
     
         6 . The system of  claim 1 , the one or more programs further comprising instructions configured to:
 determine, based on the one or more insights, a degree of correlation between two or more portions of the aggregated operational technology data within the knowledge graph data structure; and   update the knowledge graph data structure based on the one or more insights in response to a determination that the degree of correlation corresponds to a correlation threshold value.   
     
     
         7 . The system of  claim 1 , the request further comprising a user identifier describing a user role for a user associated with the request, and the one or more programs further comprising instructions configured to:
 in response to the request, correlate the aspects of aggregated operational technology data based on the user identifier to provide the one or more insights.   
     
     
         8 . A method, comprising:
 at a device with one or more processors and a memory:
 receiving a request to obtain one or more insights related to one or more assets, the request comprising:
 an asset descriptor describing the one or more assets; and 
 
 in response to the request:
 correlating, based on the asset descriptor, attributes of aggregated operational technology data within a knowledge graph data structure to provide the one or more insights, wherein the knowledge graph data structure is configured as an ontological data structure that captures relationships among respective aggregated operational technology data within the knowledge graph data structure; and 
 adjusting one or more operational limits for the one or more assets based on the one or more insights associated with the knowledge graph data structure. 
 
   
     
     
         9 . The method of  claim 8 , further comprising:
 adjusting the one or more operational limits for the one or more assets in response to determining that a degree of deviation for the one or more operational limits satisfies a defined criterion.   
     
     
         10 . The method of  claim 8 , further comprising:
 adjusting the one or more operational limits for the one or more assets in response to determining that adjustment of the one or more operational limits provides a certain degree of optimization for one or more processes performed by the one or more assets.   
     
     
         11 . The method of  claim 8 , further comprising:
 generating one or more integrity operating window recommendations for the one or more assets based on the one or more insights; and   adjusting the one or more operational limits based on the one or more integrity operating window recommendations.   
     
     
         12 . The method of  claim 8 , further comprising:
 predicting one or more operating conditions for the one or more assets based on the one or more insights; and   adjusting one or more operational limits for the one or more assets based on the one or more operating conditions for the one or more assets.   
     
     
         13 . The method of  claim 8 , further comprising:
 determining, based on the one or more insights, a degree of correlation between two or more portions of the aggregated operational technology data within the knowledge graph data structure; and   updating the knowledge graph data structure based on the one or more insights in response to a determination that the degree of correlation corresponds to a correlation threshold value.   
     
     
         14 . The method of  claim 8 , the request further comprising a user identifier describing a user role for a user associated with the request, and, in response to the request, correlating the aspects of aggregated operational technology data based on the user identifier to provide the one or more insights. 
     
     
         15 . A non-transitory computer-readable storage medium comprising one or more programs for execution by one or more processors of a device, the one or more programs including instructions which, when executed by the one or more processors, cause the device to:
 receive a request to obtain one or more insights related to one or more assets, the request comprising:
 an asset descriptor describing the one or more assets; and 
   in response to the request:
 correlate, based on the asset descriptor, attributes of aggregated operational technology data within a knowledge graph data structure to provide the one or more insights, wherein the knowledge graph data structure is configured as an ontological data structure that captures relationships among respective aggregated operational technology data within the knowledge graph data structure; and 
 adjust one or more operational limits for the one or more assets based on the one or more insights associated with the knowledge graph data structure. 
   
     
     
         16 . The non-transitory computer-readable storage medium of  claim 15 , the one or more programs further including instructions which, when executed by the one or more processors, cause the device to:
 adjust the one or more operational limits for the one or more assets in response to determining that a degree of deviation for the one or more operational limits satisfies a defined criterion.   
     
     
         17 . The non-transitory computer-readable storage medium of  claim 15 , the one or more programs further including instructions which, when executed by the one or more processors, cause the device to:
 adjust the one or more operational limits for the one or more assets in response to determining that adjustment of the one or more operational limits provides a certain degree of optimization for one or more processes performed by the one or more assets.   
     
     
         18 . The non-transitory computer-readable storage medium of  claim 15 , the one or more programs further including instructions which, when executed by the one or more processors, cause the device to:
 generate one or more integrity operating window recommendations for the one or more assets based on the one or more insights; and   adjust the one or more operational limits based on the one or more integrity operating window recommendations.   
     
     
         19 . The non-transitory computer-readable storage medium of  claim 15 , the one or more programs further including instructions which, when executed by the one or more processors, cause the device to:
 predict one or more operating conditions for the one or more assets based on the one or more insights; and   adjust the one or more operational limits for the one or more assets based on the one or more operating conditions for the one or more assets.   
     
     
         20 . The non-transitory computer-readable storage medium of  claim 15 , the one or more programs further including instructions which, when executed by the one or more processors, cause the device to:
 determine, based on the one or more insights, a degree of correlation between two or more portions of the aggregated operational technology data within the knowledge graph data structure; and   update the knowledge graph data structure based on the one or more insights in response to a determination that the degree of correlation corresponds to a correlation threshold value.