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DataCenter Thermal/Humidly Measurement Analysis via Smart Phone App Disclosure Number: IPCOM000241506D
Publication Date: 2015-May-07
Document File: 2 page(s) / 57K

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Smartphone App to gather DataCenter Environmental Data (Humidity / Temperature) via Integrated Sensors and Locate via Triangulation of WIFI / Bluetooth signals to Determine Position. Disclosed is a system for determining ambient environmental data of a DataCenter or MachineRoom from a common consumer device (with the appropriate ambient environmental sensors) via a mobile SmartPhone Application. Data is gathered while the SmartPhone user simply wanders around a DataCenter or actively responds to a perceived temperature alert event or issue. The essence of the invention is that only commercially available generic consumer-level devices are used to gather the data (a common Smartphone Handset) and determine the position through Triangulation (WIFI router / Bluetooth devices). The value is provided through the Mobile Application that gathers the data and the Cloud Analytics algorithms that model the data into a heat map. Potentially, long-term high value can be derived from a very low investment. Environmental data is synchronised with positioning data via Triangulation of WIFI / Bluetooth or similar RF signals generated from within the DataCenter / MachineRoom. The temperature /humidity and location data is gathered and uploaded to a Web-Based server to analyse and generate Machine Room Environmental Heat Map Models. Multiple users may concurrently gather data which may be cached for later upload, or in the event of a live Data Connection, loaded in real-time. All measurements (thermal / humidity) would of course be time-stamped and include any relevant GPS and WIFI / Bluetooth triangulation positioning data. Different phones may have different sensitivities with their thermal / temperature sensors - so they should be calibrated at the point of beginning of a multiple measurement activity simply by collectively holding them to a common heat generating source at the same time.

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DataCenter Thermal/Humidly Measurement Analysis via Smart Phone App

DataCenters represent huge investments for many organisations and represent a significant risk to business operations in the event of failure. Excess heat generated by essential systems if not properly dealt with by appropriate cooling will inevitably shorten the operational of essential IT kit, but the costs and effort to effectively monitor the environments often lead to excess cooling and inflated cost or unnecessary risk through ignorance of potential heat problems.

    Currently DataCenter Heat map analysis typically require one of two approaches; Modelling (1) or Measurement (2): 1) Modelling
Complex modelling software to estimate heat generated by recording each devices (server / switch / disk array HVAC etc) physical location within the DC and their power requirements. By using the collated inventory and knowledge of power requirements and the physical layout of the machine room, using complex proprietary Fluid Dynamic modelling algorithms, a model of the heat generated can be estimated. Although these models can be highly accurate, they are only models and End Users are typically sceptical of their accuracy until proven by taking actual Measurements (below) which defeats the advantage of virtual modelling.

2) Measurement
The alternative is to measure actual heat output through multiple (maybe 100's) of thermal sensors either permanently attached throughout the DataCenter that report back to a central repository - often via a WIFI link which is a significant investment in time and may perhaps be most effectively be done at time of DC construction - the benefit is that the multiple thermal sensors offer real time data 24 Hours a day / 7 days a week.

    Alternately, measurement can be done retrospectively through the use of an array of semi-portable thermal sensors in a wheeled dolly that is trundled around the DataCenter, the benefit being that such a facility can be retrospectively deployed to existing DataCenters and offer a Services opportunity to vendors. But the data collated is always dependant upon the current location of the dolly.

    A mobile phone app that uses the integrated sensors of many modern android phones to measure temperature and humidity using WIFI (or Bluetooth) signals within the DC to triangulate the physical location of the mobile phone.

    This Disclosure describes a method of gathering actual data through Measurement that is low-investment in time, skills and equipment by utilising consumer-level commercially available devices and non-specialist skill-sets.

    An accurate heat map (using real data) can be acquired simply by walking around a DataCenter machine room and waving your phone around, or by having several people wandering around and waving their phones around to get multiple concurrent readings. Upon taking a reading, the mobile phone app would give an audible indicator (beep) and/or flash to show that sufficient time has been taken (say...