Incident prediction system
First Claim
1. A method for predicting a severity level for an incident, the method comprising:
- receiving a first set of incident data about a first safety incident, wherein the first set of incident data includes a first set of factors and a severity of the first safety incident, wherein receiving the first set of incident data about the first safety incident further comprises receiving the first set of incident data from a first user and a second user, and wherein the first set of incident data includes written reports of safety incidents, process variables and operating conditions;
preparing the first set of incident data by determining two factors of the first set of factors that are statistically similar, and retaining only one of the two statistically similar factors in the first set of incident data, wherein preparing the first set of incident data comprises removing irrelevant factors of the first set of factors based on known relationships received from a third user, and wherein preparing the first set of incident data comprises extracting semantic concepts from the written reports;
creating a safety incident model based on the first set of incident data by correlating the first set of factors with the severity of the first safety incident, wherein creating the safety incident model further comprises allocating a higher weight to incident data of the first set of incident data received from the first user over incident data of the first set of incident data received from the second user, wherein correlating the first set of factors correlates the extracted semantic concepts to process variables and operating conditions;
receiving a second set of incident data, wherein the second set of incident data includes a second set of factors from a plurality of measurement devices located around an industrial plant, wherein the second set of factors comprise process variables and operating conditions;
determining a predicted severity of the second set of incident data based on the safety incident model and the second set of factors from the second set of incident data; and
enabling a corrective action that would lower the predicted severity of the second set of factors.
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Accused Products
Abstract
The present invention may be a method, computer program product, and system for predicting future safety incidents. The embodiments may receive a first set of incident data about a first safety incident. The first set of data may include a first set of factors and a first severity. The embodiments may create a safety incident model based on the first set of data by correlating the first set of factors with the first severity. The embodiments may receive a second set of incident data, where the second set of data may include a second set of factors. The embodiments may determine a predicted severity of the second set of incident data based on the safety incident model and the second set of factors. The embodiments may display one or more factors from one of the first and second set of factors, having the highest predicted incident severity.
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Citations
14 Claims
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1. A method for predicting a severity level for an incident, the method comprising:
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receiving a first set of incident data about a first safety incident, wherein the first set of incident data includes a first set of factors and a severity of the first safety incident, wherein receiving the first set of incident data about the first safety incident further comprises receiving the first set of incident data from a first user and a second user, and wherein the first set of incident data includes written reports of safety incidents, process variables and operating conditions; preparing the first set of incident data by determining two factors of the first set of factors that are statistically similar, and retaining only one of the two statistically similar factors in the first set of incident data, wherein preparing the first set of incident data comprises removing irrelevant factors of the first set of factors based on known relationships received from a third user, and wherein preparing the first set of incident data comprises extracting semantic concepts from the written reports; creating a safety incident model based on the first set of incident data by correlating the first set of factors with the severity of the first safety incident, wherein creating the safety incident model further comprises allocating a higher weight to incident data of the first set of incident data received from the first user over incident data of the first set of incident data received from the second user, wherein correlating the first set of factors correlates the extracted semantic concepts to process variables and operating conditions; receiving a second set of incident data, wherein the second set of incident data includes a second set of factors from a plurality of measurement devices located around an industrial plant, wherein the second set of factors comprise process variables and operating conditions; determining a predicted severity of the second set of incident data based on the safety incident model and the second set of factors from the second set of incident data; and enabling a corrective action that would lower the predicted severity of the second set of factors. - View Dependent Claims (2, 3, 4, 5)
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6. A computer program product for predicting a severity level for an incident, the computer program product comprising:
one or more non-transitory computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions comprising; program instructions to receive a first set of incident data about a first safety incident, wherein the first set of incident data includes a first set of factors and a severity of the first safety incident, wherein the program instructions to receive the first set of incident data about the first safety incident further comprises program instructions to receive the first set of incident data from a first user and a second user, and wherein the first set of incident data includes written reports of safety incidents, process variables and operating conditions; program instructions to prepare the first set of incident data by determining two factors of the first set of factors that are statistically similar, and retaining only one of the two statistically similar factors in the first set of incident data, wherein the program instructions to prepare the first set of incident data comprise program instructions to remove irrelevant factors of the first set of factors based on known relationships received from a third user, and wherein the program instructions to prepare the first set of incident data comprises the program instructions to extract semantic concepts from the written reports; program instructions to create a safety incident model based on the first set of incident data by correlating the first set of factors with the severity of the first safety incident, wherein the program instructions to create the safety incident model further comprises program instructions to allocate a higher weight to incident data of the first set of incident data received from the first user over incident data of the first set of incident data received from the second user, wherein program instructions to correlate the first set of factors correlates the extracted semantic concepts to process variables and operating conditions; program instructions to receive a second set of incident data, wherein the second set of incident data includes a second set of factors from a plurality of measurement devices located around an industrial plant, wherein the second set of factors comprise process variables and operating conditions; program instructions to determine a predicted severity of the second set of incident data based on the safety incident model and the second set of factors from the second set of incident data; and program instructions to enable a corrective action display a process change that would lower the predicted severity of the second set of factors. - View Dependent Claims (7, 8, 9, 10)
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11. A computer system for predicting a severity level for an incident, the computer system comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the program instructions comprising; program instructions to receive a first set of incident data about a first safety incident, wherein the first set of incident data includes a first set of factors and a severity of the first safety incident, wherein the program instructions to receive the first set of incident data about the first safety incident further comprises program instructions to receive the first set of incident data from a first user and a second user, and wherein the first set of incident data includes written reports of safety incidents, process variables and operating conditions; program instructions to prepare the first set of incident data by determining two factors of the first set of factors that are statistically similar, and retaining only one of the two statistically similar factors in the first set of incident data, wherein the program instructions to prepare the first set of incident data comprise program instructions to remove irrelevant factors of the first set of factors based on known relationships received from a third user, and wherein the program instructions to prepare the first set of incident data comprises the program instructions to extract semantic concepts from the written reports; program instructions to create a safety incident model based on the first set of incident data by correlating the first set of factors with the severity of the first safety incident, wherein the program instructions to create the safety incident model further comprises program instructions to allocate a higher weight to incident data of the first set of incident data received from the first user over incident data of the first set of incident data received from the second user, wherein program instructions to correlate the first set of factors correlates the extracted semantic concepts to process variables and operating conditions; program instructions to receive a second set of incident data, wherein the second set of incident data includes a second set of factors from a plurality of measurement devices located around an industrial plant, wherein the second set of factors comprise process variables and operating conditions; program instructions to determine a predicted severity of the second set of incident data based on the safety incident model and the second set of factors from the second set of incident data; and program instructions to enable a corrective action that would lower the predicted severity of the second set of factors. - View Dependent Claims (12, 13, 14)
Specification