In the event of incorrect design assumption of the safety system, the process plant will be expose to unacceptable risk and result in overexposure to negative consequences to people, equipment and environment. Safety Instrumented Systems (SIS) are there to ensure that a plant is taken into a safe state, limiting the negative consequences to people, equipment and the environment.

Reports can be exported to multiple formats (such as Excel, Word and PDF) and scheduled to be emailed at configurable periods.

Improve Safety To provide the data and tools necessary to improve the safety design philosophy or make changes to the safety philosophy throughout the plant lifecycle.

Optimize SIS Costs To reduce OPEX costs of maintaining safety excellence; an over-engineered SIS may exceed safety requirements but not be cost-effective, similarly an under engineered SIS maybe cost effective but may compromise safety.

SIF Activation Verification SFM can be used as a mechanism to show which SIFs have been activated, which can then be verified against the SIS base data. This verification process establishes the SIF Activation reason(s), which is also known as the ‘Initiating Cause’. The Initiating Cause(s) are derived from the safety design and imported into SFM. When an Initiating Cause has not been identified in the safety design, SFM allows a new Initiating Cause(s) to be defined that is displayed in various reports. These reports can verify against the safety design to initiate improvements.

Automatic collection and display of safety events Reduce manual overhead and errors providing dependable information for LOPA and HAZOP revalidations.

Streamline Safety Compliance To automatically collect and present safety performance information via a single access point that reduces manual overheads and errors, which simplifies compliance to safety standards.

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Risk Assessment (HAZOP, LOPA) SFM is configured with the safety design expectations derived from the HAZOP risk assessments and (if conducted) LOPA data. This information is compared against the actual operational safety function activity that assists users in highlighting issues, helping to support the validation of safety demand rates and can help to optimize test scheduling. These findings can then be checked and verified against the base data within the defined SIS.

Discover the challenges of monitoring safety system performance throughout the lifetime of the plant and how the Exaquantum safety management solutions from Yokogawa overcome these challenges by dynamically monitoring safety system performance.

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Safety Reports In-built reports provide evidence of operational safety data, and supports the active monitoring of safety system performance. SFM provides dynamic reports for all information displayed on the web interface with the ability for users to select fields and drill into data as well as filtering and sorting by almost all fields being displayed.

SFM is a software solution to monitor safety performance in response to the growing pressure from regulations and legislation regarding safety reporting and assessments.

SIF KPI’s An overview of user filtered SIF KPIs is provided, allowing users to monitor and view the following information:

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Reduce Operational Risk To highlight factors that impact safety operations, such as device failure rates, demand and availability, safety procedures and bypasses.

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Trip Investigation Report added Performance Improvement Improvements to SFM analysis processing by optimizing the SFM Update Job to significantly reduce total process time

SIF Activation Analysis When SIF Activations take place, SFM records key associated data that can be used to better understand the effect of the activation.

Monitoring Overrides and Inhibits SFM monitors SIF overrides, inhibits and their protection layers. This provides critical information in the understanding of SIFs having sufficient protection and are maintaining their designed SILs.

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Mark device actuations as possible test replacements Optimizes proof testing by conveniently tracking when trips occur on final elements (valves, actuators) and recording data before, during and after a trip which can be evaluated to ensure every device performed as intended.

SFM is the final piece within the lifecycle that protects your investment by keeping your risk profile aligned with what good looks like as defined by the subject matter experts.

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Identification of SIF Activations SFM provides comprehensive Alarm & Events monitoring capabilities to assist management in the identification of SIF Activations. These activations are then converted into Reports, Overview screens and SIF Activation lists, all of which provide users with a clear picture as to which SIFs have activated, and more importantly, which activations can be assessed and verified against the SIS base data.

Capture safety device transitions and travel times Determine whether the SIF and actuating devices operate within process safety limits.

Yokogawa’s Safety Function Monitoring (SFM) quickly identifies assumptions that fail to meet design targets, pinpoints the additional risk that was previously invisible, and empowers you to take action to eliminate risk from the business. It also facilitate the recording of new risk during plant operation.

Processing facilities are required to maintain a means to verify the safety performance of their safety systems that satisfy regulations and standards. They are required to produce detailed reports and evidence that support the regular assessments of their safety regime.

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Web User Interface SFM provides secure web based displays and reports for user access from local or remote locations and does not require any client software to be installed.

Initiating Causes SIF Initiating Causes are monitored against the safety design. This provides a valuable understanding of the actual demand versus the expected demand. The SFM traffic light system provides users an early warning sign when Initiating Causes have exceeded their expected design frequency.

SFM is Yokogawa's plant-wide safety monitoring solution provides analysis and reporting, helping customers monitor the performance effectiveness of defined SIS (Safety Instrumented Systems) against their design targets.

Optimize your workforce by focusing and prioritizing efforts based on risk exposure, taking credit for verified system performance, and investigation valves as travel times worsen over time.

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SFM provides continuous monitoring and evaluation of safety data to highlight deviations or failures in safety system design performance. It collects all safety related data to keep track and analyze key safety performance metrics including, SIF (Safety Instrumented Functions) activations, ILPs (Independent Layers of Protection), initiating causes and overrides. This information assists users to:

It requires significant investment, in that many smart subject matter experts come together to analyse risk and design safety systems with very complicated math to ensure the ongoing risk at a plant is deemed tolerable. Assumptions are made to optimize solutions based on process.

- OpreX Asset Operations and Optimization solution release delivers significant improvements in operational safety performance monitoring -

Data Collection The underlying Exaquantum historian provides SFM with a powerful, integrated, cost-effective platform for collecting and storing data from different sources via OPC DA, OPC A&E and OPC HDA independent of the system vendor. OPC HDA has been expanded within Exaopc (Yokogawa’s OPC server) to allow historical Alarms & Events to be recovered following a communications interruption.

Visualise safety device performance that fail to meet targets Degradation of hardware, increased awareness of safety risks and highlights when safety performance integrity has been compromised.

Easily generate safety performance reports Provides evidence of safety performance and SIF availability records for audit by regulatory authorities and supports LOPA and HAZOP re-validations.

Assign reasons to SIF activations Facilitates the revalidation of the Process Hazard Analysis (PHA) to take in to account events that have occurred during plant operations but are not yet included in the safety design.

Process safety is a disciplined framework for managing the integrity of systems and processes. Its purpose is to reduce risk and to ensure that process plants are operating within tolerable limits for humans, environment, assets and production continuity.

The challenge becomes determining if my real-time operating data supports the analysis, design, and assumptions used up front. What happens when something changes? What happens when any of the initial assumptions just aren’t accurate ? What happens when there is new risk that is not consider initially that occurs during plant operation?