---
title: How to Automate Transit Shock Data Collection in 7 Steps
description: Learn how to automate transit shock and vibration data collection with step-by-step guidance for field testing, sensor setup, and faster analysis workflows.
---

[enDAQ Blog for Data Sensing and Analyzing](https://blog.endaq.com)

# [How to Automate Transit Shock Data Collection in 7 Steps](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps)

 Written by [Giovanni Fava](https://blog.endaq.com/author/giovanni-fava) | Oct 29, 2026, 5:38:19 PM

## 7 Steps to Automate Transit Shock Data Collection

Collecting transit shock and vibration data doesn't need to be a manual, time-consuming process. If you're monitoring packages, equipment, or products during transportation, you've likely dealt with the frustration of starting and stopping recordings, connecting cables, and manually exporting files after every trip.

This guide will walk you through seven steps to automate your shock and vibration measurement workflow for field testing. You'll learn how to select sensors and set them up so you can focus on the data instead of the data collection process. I'm also going to walk you through my process of tracking a hypothetical shipment using a data logger mounted to the bed of my coworker, Josh Grasso's truck so that you can see how to set up and automate shock data collection and analysis on your own.

## Quick Guide: How to Automate Transit Shock Data Collection in 7 Easy Steps

1. [**Define Your Measurement Requirements**](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps?hs_amp=true#Define_Your_Measurement)– Identify the frequency range, g-level, and environmental parameters for your transit environment.
2. [**Select the Right Sensor**](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps?hs_amp=true#Select_The_Sensor) – Choose a data logger with the measurement range, sample rate and data configuration your system needs.
3. **[Configure the Sensor](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps?hs_amp=true#Configure_the_sensor)** – Either set up triggers based on acceleration level or continuously record data.
4. **[Mount the Sensor](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps?hs_amp=true#Mount_the_sensor)** – Attach the sensor securely to capture accurate data along the axes of interest
5. [**Deploy and Monitor Your Shipment**](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps?hs_amp=true#Step_5) – Place the sensor with your cargo and let it record throughout the transit journey.
6. **[Upload the Data](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps?hs_amp=true#Upload_the_Data) –** Upload the data from the sensor to your analysis software or cloud.
7. [**Analyze the Data**](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps?hs_amp=true#Analyze_the_data) – Make an automated analysis or report for your data and run it.

## How to Automate Your Transit Shock and Vibration Data Capture

### 1. Define Your Measurement Requirements

Before selecting a sensor, you need to understand what you're trying to measure. Transit environments vary widely, from gentle highway vibrations to severe drop impacts during loading and unloading. Start by asking yourself a few questions:

What kind of shock events do you want to monitor? Shocks from driving are typically less than 5 g's and due to the vehicle's struts usually last anywhere from 20 milliseconds to 300ms while exciting a large range of frequencies. On the other hand if your worried about a metal-on-metal collision between objects or containers being shipped then hundreds of g's of shock over 0.25-2 milliseconds can affect the shipment.

Does a shipment's location need to be monitored? if so, using a sensor with GPS can help inform you where a sensor has been, and where various shocks occurred along a route.

Do environmental conditions like temperature and humidity need to be monitored too? If so it can be much simpler and easier to pick a logger that  both measures shock, and the environment leaving you wo worries about synchronizing multiple devices.

In the case of the demo we're doing, we want to measure some high frequency shock, but we don't expect there to be any high-g impacts since I'm directly measuring the truck bed, and we don't expect any major impacts. we also want to use GPS so we can track the truck's location and see where different impacts occur. 

### 2. Select the Right Sensor

Choosing the right data logger makes automation possible. Look for sensors with built-in accelerometers that can record independently without a laptop or external DAQ system. The sensor should match your measurement range with some margin for unexpected events. To [find the right sample rate](https://blog.endaq.com/aliasing-how-fast-must-we-sample) of the accelerometer, Nyquist Frequency states that the bear minimum sample rate must be 2x the frequency of interest, but in reality 10x is much closer to ideal. Meaning if you're watching out for a resonance at 50 Hz, you'll want an accelerometer that has a sample rate of at least 500 Hz. 

For general transit monitoring, a [vibration data logger](https://endaq.com/collections/endaq-shock-recorders-vibration-data-logger-sensors) with a dual accelerometer design captures both low-g vibration content from uneventful travel and high-g shock events. This matters because a sensor optimized only for one type of measurement will miss the other.

If you need real-time data access, consider [wireless accelerometers](https://endaq.com/collections/endaq-shock-recorders-vibration-data-logger-sensors?_=pf&pf_t_series_type=Series%20Type__W8&pf_t_series_type=Series%20Type__W5) with Wi-Fi upload capabilities. These allow you to view data remotely and receive alerts when thresholds are exceeded, rather than waiting until the shipment arrives. Some wireless sensors will also have GPS sensors to track where the shipment was along it journey when it encountered a specific shock.

Due to the requirements we chose an [enDAQ W8-D40](https://endaq.com/collections/endaq-shock-recorders-vibration-data-logger-sensors/products/w8-vibration-sensor-w8-d40) as the data logger for this demo. As a disclaimer, any other good data logger with GPS can be used to capture these recordings, and you can also analyze the data using python through Jupyter notebook as well.

  

### 3. Configure Trigger Settings

Trigger-based recording can be very helpful if you want to minimize the amount of data collected  and if you're only concerned with larger shock and not the minor bums. Instead of recording constantly (which fills storage quickly and creates huge files), the sensor waits in a low-power state until it detects an event worth capturing.

Set an acceleration threshold that exceeds your normal vibration environment but catches significant impacts. For truck transport, a threshold around 3-5g typically works well. When the sensor detects acceleration above this level, it automatically starts recording and captures a pre-trigger buffer so you don't miss the beginning of the event.

Most quality data loggers also let you configure a post-trigger duration, ensuring you capture the full shock response including any ringing or secondary impacts. Test your trigger settings in a controlled environment before deployment to verify they behave as expected.

For the demo, since we have a lot of storage and battery life on my data logger, we set it up to continuously at 1,000 Hz. This sample rate gives us the ability to measure most low regular shocks that that the truck bed will see. This will also let us get GPS data from the whole trip so we can see where the shipment went, and where it was when it got shocked.

### 4. Mount the Sensor Correctly

Mounting affects data quality more than many people realize. A loosely attached sensor can bounce around creating fake shock peaks, and miss what vibrations are actually occurring on the shipment. The better the sensor is mounted, the more representative its readings will be. 

For transit testing, a couple good mounting methods are using threaded studs, adhesive, or custom brackets, or even magnets if they are strong enough. The mounting surface should be flat and clean. Place your sensor vibrationally close to the item(s) you care about, such as the frame they are mounted to or the crate they are being shipped on. Try to avoid placing the sensor on a cantilever, or in a place where it is likely to get bumped into.

Note the sensor orientation and axis definitions. You'll need this information during analysis to interpret directional data correctly. 

For the demo, the sensor was mounted to the truck bed so the Z-axis was facing up, the y axis was pointing forward toward the driver, and the x axis was pointed tot he sides of the truck. The sensor was placed using double-sided tape to avoid marking up the bed. You can see below how the sensor was placed:

   

### 5. Deploy and Monitor Your Shipment

Once the shipment is ready to go, turn on the sensors. Make sure that the you actually collecting data, then check the data when it uploads if it uploads during transit or at the end of a shipment. 

For repeat shipments on the same route, you can use the same sensor configuration each time. This consistency makes comparisons meaningful and helps you identify which routes or carriers produce the harshest conditions.

If your sensor supports wireless uploads, you can monitor recordings as they happen. The [enDAQ Cloud Platform](https://endaq.com/collections/endaq-cloud-remote-vibration-monitoring) receives data directly from W Series sensors and can send alerts when shock events exceed your defined thresholds. Alternatively, other sensors have their own cloud platforms, or the data can also be uploaded manually to your computer, and analyzed there.

 

### 6. Upload the Data

Depending on the type of sensor that you're using, you can either upload the wirelessly through the Wi-Fi/cellular data, or the data can be uploaded manually through a wired connection to your analysis software. Uploading the data wirelessly can make the process much more automated and can let you get live updates from your shipment as it travels or when it reaches its destination.

For the demo, I uploaded the recording to the cloud so I could run an automated script on it from there.

### 7. Analyze the Data

Once you have the data, now you can begin to analyze it. There are many different software packages available in the DIY. You can either work directly with software from the company affiliated with the sensor you're using or use general programs like MATLAB and Python. There are also multiple cloud-based platforms where scripts (python in this case) can be automatically run on data you've collected.

When running an analysis, certain results like rms, shock impulse magnitude, and PSD can all be very important to determining the state of your shipment. When making a dashboard or script, try to figure out what's most important, and display that, while keeping excess plots and tables to a minimum. The simple the data visualization, the better.

For the Demo I made a dashboard on the [enDAQ Cloud Platform](https://endaq.com/collections/endaq-cloud-remote-vibration-monitoring) that lets me look at a map, showing me how fast the truck was travelling and where, as well as a bunch plots showing the vibration data and its frequency content. Here is what the dashboard looks like:

Note: to make the GPS plot, I used a website called: [Carto,](https://carto.com/basemaps/apikey/)they provide free API keys for their GPS map plots.

Using the GPS data plugged into the dashboard I can see how fast the shipment was travelling around Goose pond:

The PSD heatmap combined with the overall PSD tell me that when the truck was in motion, the primary excited frequencies were close to 10 Hz and 45 Hz. This lets me know what kind of vibration the shipment is exposed to, and if my shipment is particularly susceptible to certain frequencies due to a resonance, I can know whether or not the shipment needs extra vibration damping to keep it safe.

Here is the code I used in the enDAQ cloud to make the dashboard:

Note: to get the GPS map to display without watermarks, insert your API  key from Carto where the code says: `PASTE_API_KEY.`

Additionally, if you want to convert the vibration data you collect to a vibration standard, you can follow this blog : [Developing a Vibration Test Standard](https://blog.endaq.com/how-to-develop-a-vibration-test-standard-psd-from-experimental-data). If you want to see the importance of monitoring your shipments take a look at these two blogs: [How Vibration Monitoring Protects High-Value Art During Transportation](https://blog.endaq.com/protecting-high-value-assets-in-transit) and [Top 5 High-Value Asset Transportation Monitoring Platforms in 2026](https://blog.endaq.com/top-5-high-value-asset-transportation-monitoring-platforms-in-2026).

### Demo Video: Cloud Dashboard for Transport Monitoring

## Conclusion:

If you have transit shock data that you want to repeatedly measure for any reason, it doesn't take much to automate that processes. The most important step is to define what you actually need to measure and what your sensor needs to survive. Once you know what you want to do, finding the right sensor and mounting it is relatively straight forward. The data analysis in this case can actually be the most fun part, since you can completely define your scripts to show whatever you need to know. There's plenty of examples of scripts in python and MATLAB to help you get started on building up the analysis that you're looking for. Once you finally automate the analysis process you can see what different shock different routes produce, and how to act based on the results you get.

## FAQs About How to Automate Transit Shock Data Collection

### How Do You Pick the Right Data Logger Battery?

In order to pick the right device, battery power is a very under-rated part of the selection process. The ideal case for large shipments is to provide external power to the data loggers so that they don't run out of power, but usually this isn't an option for many shipments. If a battery is the only way to provide power to a logger, the main thing to look out for is that a larger battery will allow for more data to be captured, but too large of a battery can be lead to a device that is either too large to mount or affects the structural dynamics of parts of the shipment.  For cross-country shipments lasting several days, you need a sensor that maintains power throughout. Some sensors extend battery life by using lower sample rates during quiet periods and ramping up when events occur. Be careful when picking the battery for your device since it can be more important than you realize.

### How Do You Interpret Shock and Vibration Data from Transit Testing?

Raw acceleration data tells you amplitudes and timing, but converting to frequency domain reveals the vibration's character. A [power spectral density](https://blog.endaq.com/why-the-power-spectral-density-psd-is-the-gold-standard-of-vibration-analysis) plot shows how vibration energy distributes across frequencies, helping you identify where the energy of the shock can be transferred.

For shock events, the [shock response spectrum](https://blog.endaq.com/shock-analysis-response-spectrum-srs-pseudo-velocity-severity) (SRS) characterizes severity more accurately than simple amplitude alone. The SRS accounts for how structures with different natural frequencies respond to the same impact, giving you information directly relevant to product damage potential.

Comparing transit data against your shipment's test specifications can help answer whether the shipment experienced conditions that could cause damage. Understanding the shock loads can help you figure out what to do with a current shipment or how to better prepare for future transit.

### What sample rate do I need for transit shock monitoring?

Sample rate depends on your frequency content of interest. For typical transit vibration, 500-1000 Hz captures road and rail inputs adequately. For shock events like drops, you'll want 5000 Hz or higher to resolve the impact waveform.

How long can sensors record during transit?

If the sensor is plugged in to a reliable power source, it can last indefinitely. When relying on a battery, recording duration is based on sample rate, and trigger settings and sometimes storage limits. The lower the sample rate, the lower the energy usage, and the slower the storage space on the device fills up. Triggering to only pick up on shock evets can have the biggest impact on recording life greatly reducing the energy and storage use, but all of the "in-between" data will be missed.

### What's the difference between triggered and continuous recording?

Continuous recording captures everything but consumes storage and battery quickly. Triggered recording waits for acceleration to exceed a threshold before capturing, dramatically extending battery life and reducing file sizes.

### Can I use the same sensor configuration for different routes?

Absolutely. Once you configure trigger thresholds and recording parameters, you can use the same sensor repeatedly with consistent settings. This lets you get repeatable results that when paired with a consistent analysis/dashboard your results can be easily checked because they will all be in the same, repeatable format and any deviations will be easy to spot or calculate.

[View full post](https://blog.endaq.com/how-to-automate-transit-shock-data-collection-in-7-steps)

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