{"id":132294,"date":"2023-05-03T09:00:12","date_gmt":"2023-05-03T13:00:12","guid":{"rendered":"https:\/\/fiix.wpengine.com\/?p=132294"},"modified":"2023-05-03T09:06:34","modified_gmt":"2023-05-03T13:06:34","slug":"experiment-using-fiix-api","status":"publish","type":"post","link":"https:\/\/fiixsoftware.com\/blog\/experiment-using-fiix-api\/","title":{"rendered":"How I set up condition-based maintenance in under two days"},"content":{"rendered":"

Note: this article was originally written by Jeffrey Dutschke and was updated in March 2023 by Eric Wallace, C.E.T.<\/em><\/p>\n

It\u2019s easy to put condition-based maintenance on a pedestal. The idea that you can leave behind reactive maintenance and start scheduling work based on the real-time condition of assets is enticing, but also intimidating. How do you go from A to B, and is it worth the work? I decided to find out by challenging myself to connect a temperature sensor to the Fiix CMMS using the platform\u2019s open API. Here\u2019s the kicker\u2014 I wanted to complete the project in two days.<\/p>\n

Step 1: Gathering the tools for condition-based maintenance<\/h2>\n

I wanted to mock up a simple machine integration using inexpensive equipment that might be realistically used in an industrial environment. I settled on a Beaglebone Black<\/a>, a Linux-based microcontroller similar to an Arduino or Raspberry Pi, and an off-the-shelf TMP36<\/a> temperature sensor. The total combined cost came in at just under $60. My goal was straightforward: To send temperature data from the sensor to the CMMS and then use that data to trigger maintenance.<\/p>\n

\"TMP36
TMP36 and BeagleBone Black setup<\/figcaption><\/figure>\n

Step 2: Connecting everything to Fiix<\/h2>\n

First, I connected the temperature sensor to the Beaglebone<\/a> with the help of a breadboard<\/a>. Then I adapted some JavaScript code<\/a> from Adafruit\u2019s website to have the Beaglebone measure the temperature data outputted by the sensor, which has an output voltage proportional to temperature. And then came the critical part: Connecting the Beaglebone to the Fiix CMMS using the API client library<\/a>.<\/p>\n

I followed the API instructions in the Fiix Developer\u2019s Guide<\/a> and configured Fiix to pull temperature data from the Beaglebone once every three seconds. After creating a dummy asset called \u201cMy Office\u201d and assigning the temperature meter reading there, the integration was complete.<\/p>\n

The result was a continuous stream of temperature values recorded in the CMMS, each separated by about three seconds as shown in the image below:<\/p>\n

\"The
The stream of temperature readings<\/figcaption><\/figure>\n

A high-frequency sampling rate could cause slowdowns when deployed at scale (imagine hundreds of assets all pushing new readings every few seconds), but I wanted to see how well Fiix would work with the sensor so I selected an ambitious rate of three seconds. I didn\u2019t get any slowdowns or missed readings, which was a good sign.<\/p>\n

Step 3: Scheduling maintenance with asset condition data<\/h2>\n

These readings were a great proof-of-concept, but to make them really useful I wanted to setup a scheduled maintenance (SM)<\/a> that would be automatically triggered by a high temperature. In the real world, this might be used to indicate that an air conditioner unit in my office had failed and should be inspected. I created a scheduled maintenance<\/a> work order for \u201cMy Office\u201d and set it to trigger anytime the temperature rose above 35 \u00b0C. The work instruction was fairly simple: \u201cInspect air conditioner \u2013 CMMS API experiment.\u201d<\/p>\n

\"The
An SM set to trigger a work order when the temperature exceeds 35 degrees Celsius<\/figcaption><\/figure>\n

Step 4: Testing the final product<\/h2>\n

To fool the sensor into thinking it was warmer than it really was, I pointed a hair dryer right at the sensor. Under the blast of hot air, the measured temperature rose and rose until, just as expected, a work order was generated. Success! In a real work environment, the technician would instantly receive a notification for the work order and could inspect the temperature readings directly from the CMMS mobile app. This happens automatically, without the involvement of a maintenance manager, operator, or office tenant at any time. The integration was working.<\/p>\n

\"Temperature
Temperature datapoints quickly rising due to the hair dryer. The datapoint that triggers the scheduled maintenance is highlighted in yellow.<\/figcaption><\/figure>\n
\"The
The details of the datapoint that triggered the scheduled maintenance.<\/figcaption><\/figure>\n

More possibilities for Fiix integrations<\/h2>\n

Spurred on by my success, I stared to think more about what was possible. In addition to temperature sensor integrations, other common integrations include voltage sensors<\/a>, vibration sensors<\/a>, and of course, PLCs<\/a>. When it comes to vehicle sensor integrations, the possibilities are endless, with the potential to trigger work based on odometer readings, engine fault codes, or even GPS location.<\/p>\n

But besides using the meter readings to trigger work, maintenance technicians and reliability engineers could use the measurements records to help diagnose issues during a root cause analysis<\/a>. In our air conditioner example, data from other sensors on the unit such as inlet\/outlet air pressure sensors or humidity sensors could be pulled in to provide more information and help make a rapid diagnosis. And these are just the hardware integrations<\/a>. I haven\u2019t yet explored the software integrations<\/a> with Fiix, like ERPs and MES systems. (Perhaps I\u2019ll explore those in a future article.)<\/p>\n

For now, I hope you\u2019ve found my little foray into Fiix sensor integrations helpful. I was happy with the result, and I appreciated the flexibility of the API and the way it made the question less \u201cCan I integrate this?\u201d and more \u201cHow<\/em> can I integrate this?\u201d Imagination and technical know-how are the only limit here.<\/p>\n

Here are the top three resources I relied on for my integrations project:<\/p>\n

    \n
  1. \n
  2. \n
  3. \n
    Software developer kit<\/a>
    \nAPI libraries to help with your development.<\/div>\n<\/li>\n<\/ol>\n

    To learn more, the Fiix Integrations page<\/a> is a great place to start.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Note: this article was originally written by Jeffrey Dutschke and was updated in March 2023 by Eric Wallace, C.E.T. It\u2019s easy to put condition-based maintenance on a pedestal. The idea that you can leave behind reactive maintenance and start scheduling work based on the real-time condition of assets is enticing, but also intimidating. How do you go from A to B, and is it worth the work? I decided to find out by challenging myself to connect a temperature sensor to the Fiix CMMS using the platform\u2019s open API. Here\u2019s the kicker\u2014 I wanted to complete the project in two days. Step 1: Gathering the tools for condition-based maintenance I wanted to mock up a simple machine integration using inexpensive equipment that might be realistically used in an industrial environment. I settled on a Beaglebone Black, a Linux-based microcontroller similar to an Arduino or Raspberry Pi, and an off-the-shelf TMP36 temperature sensor. The total combined cost came in at just under $60. My goal was straightforward: To send temperature data from the sensor to the CMMS and then use that data to trigger maintenance. TMP36 and BeagleBone Black setup Step 2: Connecting everything to Fiix First, I connected the temperature […]<\/p>\n","protected":false},"author":45,"featured_media":195107,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,154],"tags":[4,8,11],"coauthors":[],"class_list":["post-132294","post","type-post","status-publish","format-standard","hentry","category-blog","category-integration","tag-api","tag-company-news","tag-future-thinking"],"yoast_head":"\nAn experiment in condition-based maintenance | Fiix<\/title>\n<meta name=\"description\" content=\"With just a sensor, microcontroller, and the Fiix API, I learned how to automatically trigger work in my CMMS.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fiixsoftware.com\/blog\/experiment-using-fiix-api\/\" \/>\n<meta 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