Logs are crucial tools in boiler plant operations, serving as reliable records for decision-making, safety, and legal purposes. While modern plants use electronic devices for data recording, handwritten logs remain indispensable due to their durability and legal credibility.
Key Points:
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Purpose and Importance of Logs
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Logs help operators make informed decisions, verify historical data, and improve plant performance.
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They protect the operator and employer legally, especially during incidents or lawsuits.
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Logs serve as evidence of operational history and demonstrate operator skill.
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Limitations of Electronic Data
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Electronic devices may not record all necessary information.
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Data can be lost or destroyed during incidents and may be easily altered.
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Handwritten logs have survived severe plant incidents and are more trusted in court.
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Best Practices for Log Keeping
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Use a bound logbook with consecutively numbered pages to prevent tampering.
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Maintain both handwritten and electronic logs for comprehensive record-keeping.
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Duplicate electronic logs should be stored securely offsite on non-erasable media.
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Types of Logs
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Operator’s Log: Records daily activities, data readings, visitors, and problems.
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Water Treatment Log: Tracks water analysis and chemical additions.
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Maintenance and Repair Log: Documents maintenance activities for easy reference.
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Visitor’s & Contractor’s Logs: Used when there are frequent visitors/contractors.
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Recorder Charts: Continuous records of pressures, temperatures, and levels.
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Creating an Effective Log
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Custom logbooks are preferred for efficiency, consistency, and professionalism.
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Preprinted logs with assigned data spaces and carbon copies improve record management.
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A hybrid system combining bound paper logs and computerized databases offers the best approach.
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Conclusion
A well-maintained log is more than a routine task—it is a critical component of safe, efficient, and legally defensible plant operation. Operators should treat log keeping as a professional responsibility, utilizing both traditional and modern methods to ensure data integrity and operational excellence.
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