| 摘要 |
<p>Techniques for intelligently monitoring and verifying compliance in a distributed work environment. Sensors are configured to collect various data, including human behavioral data, related to the distributed work environment. A rules engine correlates the human behavioral data with other types of data collected from sensors, and analyzes the aggregate data to determine compliance with a set of standards. Other types of data may include machine data, biological and environmental data, logistical data, and operational data. The standards may include governmental regulations, industry standards, and company specifications. The rules engine estimates a current and/or future status of a parameter of the distributed work environment, and determines whether the parameter status satisfies the standards. If the rules engine detects non-compliance and/or potential non-compliance, it generates alerts and/or remediation instructions, and/or automatically implements corrective action(s) to resolve the non-compliance using machine-to-machine interactions.</p> |
