IoT-Based Beer Line Cleaning & Monitoring App Development [Case Study]

Clean lines are integral to maintaining the quality of craft beer for brewers. Therefore, small and independent brewers devote a lot of time, effort & resources to make the best possible beverage for their consumers. That hard work can be ruined if the draught system/line cleaning and maintenance are not managed properly. And, with technological advances like the Internet of Things (IoT), the standardization of the cleaning process with mobile applications across multiple outlets can be made seamless.

Explore how Rishabh Software helped digitize the beer-line cleaning operations with a dedicated IoT Mobile App to free up staff & optimize their work schedules while enabling cost reduction for the draught beer operations.

An Ireland-based provider of automated beer-line cleaning equipment and beer dispense solutions was in pursuit of developing a compatible IoT-based mobile & web solution to streamline the draught line cleaning process for their customers. This would help improve staff productivity & increase sales. Their existing clientele includes brewers, stadium operators, pub companies, and other businesses from the hospitality industry across Europe.

Learn how Rishabh as their technology partner helped develop from scratch the IoT Mobile App for draught quality management to improve the effectiveness & efficiency of the line cleaning process.

• Limited knowledge about the firmware integration with the portable cleaning device
• Lack of efficient data monitoring to verify clean beer lines
• No accurate tracking of cleaning schedule and service activities
• Difficulty in managing cleaning parameters data for user accounts, outlets, and more
• Inaccurate synchronization of the recorded data from the cleaning process

Our team followed a phase-wise implementation approach to ease out the line-cleaning operations. It was divided into two phases: 1) building a new mobile solution for Android & iOS devices and 2) integration with flow sensor hardware to capture data points

Phase-1: Assessment (AS-IS analysis) and App Development

• Start Clean Command to make the hardware to start the line-cleaning
• The hardware would start work on the cleaning process by assessing: ProcessType, Number of cleaning steps, Flowrate average, temperature average, Flowmeter Calibration
• Further, the device would map the initial configuration parameters related to each step involved in the cleaning process, including Liquid Volume measurement, input next step, max conductivity, min conductivity, max liquid timeout, step number, step type, etc.
• Read step’s status: Before completion, the hardware device would provide information on the current step status, error code, if there’s any
• Cancel the earlier assigned clean command
• Get step measurements and report errors measurements

• IoT application helped monitor and validate 12,000+ beer-line cleaning visits/month efficiently
• Real-time data monitoring to standardize the beer-line cleaning process leads to delivering excellent beer quality
• Improved cleaning solutions for the existing and new clientele
• Low cost of ownership enabled higher business profitability

Ireland-based leading provider of automated beer-line cleaning, monitoring, and dispensing solutions.

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