Showing 3 ideas for tag "analytics"

Phase 2 (Concluded) Log in and Rate the challenges: Mar 5-16

Big Data to Impact Decision Making in City Planning

Calgary will use emerging technology to making additions or corrections to existing planning schemes or create new planning systems. Moving forward the City will use data to create unbiased, efficient solutions with lower operating costs, resulting in a more complete response to needs identified by Calgarians.

What will change for Calgarians if we solve this problem? (Measurable)

"Solving this problem creates a huge impact in a number of areas and could result in costs savings, higher quality of life, attracting people and businesses to Calgary, greater return on Calgary’s investments into the city, as well as more impactful and fast reaction to the needs of Calgarians and Calgary businesses.

To create sustainable solutions, the city needs to be able to respond dynamically to ongoing and emerging needs. Once the infrastructure is in place, ongoing collection of analytics will be increasingly less expensive, and continue giving the data we need to make wise decisions.

Additional benefits come from initial data management. For example, better traffic flow and reduced drive times result in lower CO2 emission, which supports environmental sustainability efforts already in place. Or, Calgary’s ongoing journey to diversity our economy could move more quickly if we had a better understanding of our existing strengths in terms of workforce and business growth. This could make our approach to diversification more targeted by leveraging our existing and growing talent base."

How could we make it happen with technology or data? (Attainable)

"Other cities have already invested in the implementation of urban infrastructure which incorporates leading technology from a number of global leaders in smart city technology. We could look to those cities to better understand their successes and failures and choose our approach from their lessons. For example, Smart Street Lights could collect traffic flow data and provide WiFi access for individuals looking to find the fastest route, or port that data to the city to change bus frequency on that particular day.

Additionally, we could choose to prioritize city needs in unison between the city of Calgary and its citizenry. This data could be publicly available and the city could work with its citizens to understand how to move our City into the future."

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Phase 3 Share your ideas! (Completed) March 19 - April 2

Attach IoT sensors to gather and analyze big data on COC Bridges

Since the construction of the first Calgary bridge in 1888, The City and its surrounding area have had built over seventy-five pedestrian, vehicle and rail bridges. Based on the wide distribution of these infrastructures throughout The City, it provides multiple opportunities to not only gather valuable data to monitor bridge health (the load on the bridge and vibrations), but also water flow forces (pressure of the water... more »
Why is this an ambitious idea?

With the load that bridges bear, the particularly tough Calgary climate due to the freeze-thaw conditions and particularly with bridges usually built over water, you will get heaving and concrete will crack more so than other concrete infrastructures. In the past structural health monitoring (SHM) was a very manual process. We have now new opportunities for our society to co-exist and interact with smart interconnected devices that are known as the Internet of Things (IoT), but unfortunately, most of the existing SHM systems are not connected to IoT. This is now an opportunity to build a digital model of the selected bridges in real time by transferring the data by longer range, lower power connectivity products like Wi-Fi HaLow locally for testing and calibration. So, not only would bridge health be monitored, but a dual opportunity to predicting and analyzing climate change impacts and quantifying natural variability are available. This additional benefit may be of greater importance since it involves more than bridges and affects a city in many other areas of concern.

How do we measure the effectiveness of this idea?

The bridge data would be sent to maintenance crews and engineer/scientists using web-based interfaces to view and analyze the collected data in real-time using evaluation algorithms. As for climate data, it could be used for detecting temporal trends; providing information that will allow for a better understanding of the relationships between biological, thermal, and hydrologic data. These would allow The City to understand how the natural system has behaved by comparing historical data with a more precise local IoT sensor readings. This data would provide The City information on how the natural systems are changing from historical trends by maintaining monitoring systems that inform locally specific climate and hydrological model outputs. Using business intelligence and analytics, The City would then be able to determine and plan for those climate impacts that has the highest probability of occurring.

How is this idea attainable through the use of technology or data?

As mentioned in this pages three previous boxes, this can be accomplished by using current technology that allows the ability to gather large amount of data by using tools such as the Internet of Things (IoT) and incorporating longer range, lower power connectivity through products incorporating IEEE 802.11ah devices. This would be then sent to maintenance crews and engineer/scientists using web-based interfaces to view and analyze the collected data in real-time using evaluation algorithms. This same data for climate change would involve more use of Business Intelligence, Analytics and Data Modelling to determine trends and impacts.

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City of Calgary Mayor's Innovation Challenge

Waste Management Sustainability Optimizer Edited

Sustainable practices have become increasingly essential in many aspects of society. However, developments in various sectors are still necessary to make sustainable practices a norm. One such sector is the municipal waste management system. The primary objective of this proposal is to employ advanced analytics (deep learning, optimization and statistical methods) to develop a waste management decision support system.... more »

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