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The LeakQ reporting tool allows you to create organized and detailed reports with the images you captured on your Fluke ii900 or ii910 acoustic imaging camera. Now you can analyze leak size and leak cost estimations and share those results with anyone.
Start your LeakQ report
- Move the AS2 files from your camera to a file folder on your computer.
- Open the LeakQ report generator and accept the terms and conditions.
- Drag and drop the AS2 files from your computer to the gray upload box below.
- All these files will be loaded into the online report generator.
To develop a detailed report, you’ll need to input certain variables such as gas type, pressure in PSI, and the cost of gas per CFM, among others.
Once all your variables have been updated, select: Generate Report. The report is a Word document with all the input variables listed out, along with any comments you’ve included, and a summary with all the leaks listed, as well as their individual and annual estimated costs. Each leak image is also included in the report, along with any details your provided.
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Hi, I'm your virtual assistant, I will do my very best to help you navigate all things Fluke related. You can ask me anything!
I'm new and might make a few mistakes. For safe use of Fluke tools, refer to the product manuals, safety sheets, and your company's safety requirements. To speak with a person, visit our Contact Us or Talk to Sales page. For information on how we handle personal data, see our Privacy Policy`; // Promps are and additional message that can be added to the chat window. They are added after the intro text, and addPrompts(path); }}/* Create a helper function to add prompts to the chat window * Prompts are bot messages appended after the into text for specific paths.*/function addPrompts(path) { const validLocales = ['en', 'en-us', 'en-ie', 'en-gb', 'en-ca']; // Example usage if (!isValidHostAndLocale(validLocales)) { // Return the unmodified message if the host or locale is invalid. return; } const botCon = document.querySelector('.bot-message-container'); // Check if a bot-prompts already exists const existingPrompt = botCon.querySelector('.bot.bot-prompts'); if (existingPrompt) { return; } // If path is 6 characters or less, it is assumed to be the homepage if (path.length <= 6) { path = 'home'; } let message; switch (path) { case 'home': message = "How can I help you today?
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" + "What's new?
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" + "I want to purchase a product for my solar application
" + ""; break; case '/en-us/products/calibration-tools/temperature-calibrators': message = "
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" + "I want to learn more about Temperature Calibration
"; break; default: return; } const messageElement = document.createElement('div'); messageElement.classList.add('bot', 'bot-prompts'); messageElement.innerHTML = message; botCon.appendChild(messageElement);}function getPathCustomization(path) { const validLocales = ['en', 'en-us', 'en-ie', 'en-gb', 'en-ca']; // Example usage if (!isValidHostAndLocale(validLocales)) { // Dont attempt to fire any path customization if the host or locale is invalid. return; } if (path.length <= 6) { const lastState = localStorage.getItem('buzzLastState'); if (lastState) { return; } botTransitionMid(); scrollToBottom(); // Handle the case when the path is less than 6 characters } else if (path.includes('search/fluke')) { const lastState = localStorage.getItem('buzzLastState'); if (!lastState) { botTransitionMid(); } // Get the content of input.alg-search-input. We'll use this instead of query params because they are more accurate. let searchInput = document.querySelector('input.alg-search-input'); let botInput = document.getElementById('user-input'); // Function to build and insert CTA function buildAndInsertCta(searchValue) { let algoliaContainer = document.querySelector('.alg-full-results'); let builtCta = "Try the Fluke assistant to learn more about \"" + searchValue + "\"