CONSTRUCTION ANALYTICS TO IMPROVE SAFETY, QUALITY AND PRODUCTIVITY
Construction analytics is a method of objectively evaluating data from past and/or current construction projects to drive decision making to produce favorable outcomes. Specifically, data may be collected and stored for past and/or current construction projects to improve the safety, quality and productivity of future projects. The most common hazards may be predicted when a type of work is repeated and measures may be put into place to prevent the hazards from occurring again by using a data set produced from safety inspections, observations and incidents that are categorized by the type of work being performed. Mitigations may be implemented before performing a work activity and selecting problematic materials on a project by searching a database containing all of the deficiencies and non-conformance issues encountered in the past on the particular feature of work.
1 . A method, comprising the steps of:
collecting by a construction company inspection and incident information, wherein the inspection and incident information comprises for each past activity performed in a plurality of past activities performed, the past activity, a past weather information, a past parties involved and one or more past detected hazards;
storing the inspection and incident information from the construction company in an electronic database;
receiving by the construction company information on an upcoming activity, wherein the information on the upcoming activity comprises a current activity to be performed, a current weather information and a current parties involved;
reading by an analytics engine the inspection and incident information from the electronic database for the plurality of past activities performed;
extrapolating by the analytics engine the inspection and incident information and the information on the upcoming activity to determine a list of potential hazards for the upcoming activity;
producing by the analytics engine a report for the upcoming activity comprising the list of potential hazards;
delivering the report to the construction company performing the upcoming activity;
taking one or more mitigation actions for the upcoming activity by the construction company to reduce the level of risk associated with one or more hazards in the list of potential hazards; and
physically performing the upcoming activity by the construction company after taking the one or more mitigation actions for the upcoming activity.
2 . The method of claim 1 , wherein the inspection and incident information further comprises a past project schedule status and a past project cost status.
3 . The method of claim 2 , wherein the information on the upcoming activity further comprises a current project schedule status and a current project cost status.
4 . The method of claim 1 , wherein the analytics engine uses machine learning to determine the list of potential hazards for the upcoming activity.
5 . The method of claim 1 , wherein the extrapolating by the analytics engine further comprises determining a correlation between one or more past detected hazards and the past weather information, the past parties involved and/or the past activities performed.
6 . The method of claim 1 , further comprising the step of:
upon determining a level of risk associated with the current weather information for the upcoming activity is higher than a predetermined acceptable level of risk, rescheduling the upcoming activity to a date having a predicted weather information that reduces the level of risk for the upcoming activity to a level below the predetermined acceptable level of risk.
7 . The method of claim 1 , wherein the report for the upcoming activity further comprises a level of risk associated with each hazard in the list of potential hazards, wherein the level of risk is a percentage of times the hazard occurred in the past when conditions were similar within a predetermined range to the information on the upcoming activity.
8 . A method, comprising the steps of:
collecting by a plurality of construction companies inspection and incident information, wherein the inspection and incident information comprises for each past activity performed in a plurality of past activities performed, a past weather information, a past parties involved, a past activities performed using a standardized work activity coding system and one or more past detected hazards;
storing the inspection and incident information from the plurality of construction companies in an electronic database;
receiving by the plurality of construction companies information on an upcoming activity, wherein the information on the upcoming activity comprises a current activity to be performed, a current weather information, and a current parties involved;
reading by an analytics engine the inspection and incident information from the electronic database for the plurality of past activities performed;
extrapolating by the analytics engine the inspection and incident information and the information on the upcoming activity to determine a list of potential hazards for the upcoming activity;
producing by the analytics engine a report for the upcoming activity comprising the list of potential hazards;
delivering the report to the construction company in the plurality of construction companies performing the upcoming activity;
taking one or more mitigation actions by the construction company to reduce the level of risk associated with one or more hazards in the list of potential hazards; and
physically performing the upcoming activity by the construction company after taking the one or more mitigation actions for the upcoming activity.
9 . The method of claim 8 , wherein the inspection and incident information further comprises a past project schedule status and a past project cost status and the information on the upcoming activity further comprises a current project schedule status and a current project cost status.
10 . The method of claim 8 , wherein the analytics engine uses machine learning to determine the list of potential hazards for the upcoming activity.
11 . The method of claim 8 , wherein the extrapolating by the analytics engine further comprises determining a correlation between one or more past detected hazards and the past weather information, the past parties involved and/or the past activities performed.
12 . The method of claim 8 , further comprising the step of:
upon determining a level of risk associated with the current weather information for the upcoming activity is higher than a predetermined acceptable level of risk, rescheduling the upcoming activity to a date having a predicted weather information that reduces the level of risk for the upcoming activity to a level below the predetermined acceptable level of risk.
13 . The method of claim 12 , wherein the predicted weather information is obtained over the Internet from a weather information service.
14 . The method of claim 8 , wherein the report for the upcoming activity further comprises a level of risk associated with each hazard in the list of potential hazards, wherein the level of risk is a percentage of times the hazard occurred in the past when conditions were similar within a predetermined range to the information on the upcoming activity.
15 . A method, comprising the steps of:
collecting by a plurality of construction companies a past workers' consumer data and inspection and incident information, wherein the inspection and incident information comprises for each past activity performed in a plurality of past activities performed a past weather information, a past parties involved, a past activities performed using a standardized work activity coding system and one or more past detected hazards;
storing the past workers' consumer data and the inspection and incident information from the plurality of construction companies in an electronic database;
receiving by the plurality of construction companies information on an upcoming activity, wherein the information on the upcoming activity comprises a current workers' consumer data, a current activity to be performed, a current weather information and a current parties involved;
reading by an analytics engine the past workers' consumer data and the inspection and incident information from the electronic database for the plurality of past activities performed;
extrapolating by the analytics engine the past workers' consumer data, the inspection and incident information and the information on the upcoming activity to determine a list of potential hazards for the upcoming activity;
producing, by the analytics engine, a report for the upcoming activity comprising the list of potential hazards;
delivering the report to the construction company in the plurality of construction companies performing the upcoming activity;
taking one or more mitigation actions by the construction company performing the upcoming activity to reduce the level of risk associated with one or more hazards in the list of potential hazards; and
physically performing the upcoming activity by the construction company after taking the one or more mitigation actions for the upcoming activity.
16 . The method of claim 15 , wherein the inspection and incident information further comprises a past project schedule status and a past project cost status and the information on the upcoming activity further comprises a current project schedule status and a current project cost status.
17 . The method of claim 15 , wherein the analytics engine uses machine learning to determine the list of potential hazards for the upcoming activity.
18 . The method of claim 15 , wherein the extrapolating by the analytics engine further comprises determining a correlation between one or more past detected hazards and the past weather information, the past parties involved and/or the past activities performed.
19 . The method of claim 15 , further comprising the step of:
upon determining a level of risk associated with the current weather information for the upcoming activity is higher than a predetermined acceptable level of risk, rescheduling the upcoming activity to a date having a predicted weather information that reduces the level of risk for the upcoming activity to a level below the predetermined acceptable level of risk.
20 . The method of claim 15 , wherein the report for the upcoming activity further comprises a level of risk associated with each hazard in the list of potential hazards, wherein the level of risk is a percentage of times the hazard occurred in the past when conditions were similar within a predetermined range to the information on the upcoming activity.