In this article, you will learn how to make the best use of the Temperature Data Loggers memory when you are performing thermal mapping and other validation studies. Also, you can discover how to get a Thermal Mapping Validation Template and Validation Management Software Application to handle your qualification activities more easily.
The length of time that a logger can operate before the memory is full, is calculated by multiplying the sample rate by the number of channels being recorded.
Some models of data loggers are capable to operate with a circular memory that starts to overwrite the oldest readings when the buffer fills. These data loggers can collect data indefinitely to prevents data loss. Meanwhile, other types of data loggers just stop when the memory fills.
How to Determine Your Temperature Data Loggers Memory and Storage Capacity.
Temperature Data loggers typically save recorded data to their internal non-volatile memory, which is later downloaded to an external computer for analysis.
This permanent memory is often measured in kilobytes or megabytes (some data loggers do allow USB flash media to be used, which means that GB storage is possible in those systems).
For example, if your data logger is recording 100 channels at 1 S/s with 16-bit resolution (requires (2) bytes per sample), that’s only
100 * 1 * 2 = 200 samples per second
200 S * 3600 s = 720,000 samples per hour
After recording, data can be offloaded to external systems for long-term storage and analysis.
Because of their low sample rates, data loggers range from recording times measured in days, to those which can be measured in weeks or months.
Some data loggers offer hard-wired interfaces such as USB or Ethernet for streaming their data out to an external system for monitoring. An increasing number of them offer WIFI streaming.
How to Maximize the Temperature Data Loggers Memory.
The memory capacity of the Temperature Data loggers can best be utilized if you reduce the amount of information to be saved.
In other words, extended as much as possible the frequency in which you shall register and store information.
For example, if your validation study requires storing a temperature reading every 1 minute, then the data logger’s memory shall be fully occupied twice as faster as if the study requires to store the information every 2 minutes.
Some data loggers allow being configured to overwrite the old information with the new data. It is good in some cases but can be dangerous in other cases in which you can lose the information.
Recommendations to Avoid Mistakes Using Temperature Data Loggers.
We suggest evaluating all your requirements and needs to use temperature data loggers, but, also consider the frequency of use monthly, and how fast you need them on-site for your validation study.
So, you can determine if is better to buy or rent them based on the expertise and time availability of your employees to configure and prepare the trending graphs and summary statistical reports on time.
Before buy, consider the cost of the data loggers, but, also the cost of the calibration and its lead time.
Evaluate and compare the total costs and lead times, against the costs to rent data loggers already calibrated.
If you are NOT using temperature data loggers frequently, consider a fast CIQA rental of the calibrated data loggers required for the thermal study.
VALIDATION PROTOCOL TEMPLATES
GET THERMAL MAPPING AND VALIDATION PROTOCOL TEMPLATES
In case you need to create or update your thermal mapping protocol, you can use our template protocol to accelerate the process to perform the validation study and monitoring.
Now you can download a complete validation protocol template fully editable in MS Word or get a hard-copy and Amazon Kindle format, ready to fill, and use according to your cGMP needs, check the following documents and see more information at the CIQA Shop.
DATA LOGGERS SETUP AND CONFIGURATION SERVICES:
One of our data logger experts can set up, configure and bring to you the data loggers ready to use and be installed to collect information from your thermal mapping study. At the end of your monitoring, you can send the data loggers back to us for data extraction, evaluation, and perform the statistical analysis and plotting with averages, maximums, and minimums.
cGMP VALIDATION & REGULATORY COMPLIANCE CONSULTING
VALIDATION MANAGEMENT SOFTWARE APPLICATION
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CIQA is a quality and regulatory consultant with 25 years of experience developing products and managing projects in the medical device supply chain, and pharmaceutical industries. Rest assured of the safety or being in the right hands.
- What is a Temperature Data Logger?
- The 12 Most Common Applications for Temperature Data Loggers.
- The Top 6 Advantages Using Temperature Data Loggers
- The 5 Most Common Types of Temperature Data Loggers
- The Top 10 Main Characteristics of the Temperature Data loggers
- The 4 Main Attributes of Temperature Data loggers.
- Costs of the Temperature Data Loggers for Validation Purposes
- The 4 Best Features of the Temperature Data Loggers
- The Top 3 Pros and Cons of Temperature Dataloggers
- The 5 Most Common Uses of the Temperature Data loggers
- How to Determine the Data Loggers Record Duration?
- How to Download the Information out of the Temperature Data Logger
- How to Determine the Number of Temperature Data Loggers Do I Need?
- How Data loggers can handle their memory.
- The Top 6 Reasons Why People Rent Temperature Data Loggers.
- 3 Reasons Why are Temperature Data Loggers Useful.
- How to Configure a temperature Data logger in 5 steps
- The 5 Most Common Mistakes When Buying Data Loggers
- How to Choose the Best Temperature Data Loggers for your Validation.
- 6 Main Differences between Data Loggers.
- What is a Thermal Mapping Distribution Study?
- How to Make a Thermal Mapping in Four Steps
- What 5 Tests Should Be Performed During Temperature Mapping?
- Understanding the 5 Most Relevant Thermal Mapping Outcomes
- The Best Locations to Place Temperature Data loggers for thermal mappings.
httpss://youtu.be/H58OKuwg6Cc – Ep27 software
httpss://youtu.be/YxrzxgN0R5o – Ep26 template
httpss://youtu.be/MKrmP3EGhG4 -Ep6 – old
httpss://youtu.be/J82Q3H9c0IE – Ep10 Differences between data loggers