Meet Pointelist. A high density sensor network that you configure to collect data on spaces and places.

Pointelist has been discontinued as a commercial product. The sensing landscape has changed with full-fledged open platforms like Field-Kit in active development and off-the-shelf Zigbee sensors available from manufacturers like Centralite at competitive price points.

Features

Pointelist is different than existing sensor technology in several ways:

Comprehensive

A complete sensor network that provides both hardware and an online interface

High Density

Sensors can be clustered to achieve highly granular data sets

Low Cost

Pointelist is a fraction of the cost per data point when compared to other technologies

Flexible

Replace a single sensor without disrupting the whole network

Quick, Clear Results

Online interface allows raw data to be viewed, organized, and graphed

Accessible

A mobile-ready interface allows access and data management anytime, anywhere

Customizable

Fully-documented API permits custom data application development

Field Tested

Successfully deployed in numerous academic and professional experiments

Use Cases

Pointelist was developed to support a range of data-driven design approaches, and has been used to measure:

Baseline Energy Performance

An unoccupied building required an accurate baseline for energy performance. Designers heated the building with portable heaters and tracked the rate of thermal decay while using 65 Pointelist sensors embedded at various depths in an existing wall to understand how quickly heat was lost through the envelope.

Daily Interior Temperatures

A typical building management system provides only two temperature data points for the main floor space, which is insufficient to reflect the thermal comfort of over 100 employees. By embedding an additional 300 Pointelist sensors at a variety of locations, building managers were able to precisely manage building conditioning to deliver a comfortable work environment.

Immersive Environments

Larger, denser sensor networks often aren’t compatible with traditional data interpretation methods such as graphs. Pointelist’s fully-documented API allows users to leverage newer and better tools for data visualization. One successful application involved data from Pointelist being dynamically loaded into Unity, a 3D gaming engine, as part of an immersive environment.

Human Thermal Comfort

One of the most important factors of human thermal comfort is mean radiant temperature (MRT) or the thermal exchange of room occupants with the building surfaces that surround them. A design team arrayed 150 Pointelist temperature sensors on the interior surfaces of select rooms to calculate the MRT for any location in the sensor deployment area.

Thermodynamic Systems

Architecture students designed forms as adjustable, thermodynamic systems to meet daily goals. Using Pointelist’s real-time graphed data to provide quick, essential feedback, students relied on temperature readings in five-minute intervals to determine whether they should rapidly add or remove layers, or entirely reform layers and volumes to work towards other goals.

Liquid Volume

Hackathon participants found that measuring the temperature differential between filled and empty portions of a container was an accurate method for calculating volume. The Pointelist API streamlined the data that was pulled into a visualization tool, creating a focus on data representation and analysis instead of the mechanics of data collection, telemetry, and storage.

Support

A complete set of installation and account instructions is available below. For a list of troubleshooting tips, see our Frequently Asked Questions. For all other questions, contact us.

Download Instructions

FAQ

I am interested in buying Pointelist. How do I purchase a kit?
Pointelist has been discontinued as a commercial product. The sensing landscape has changed with full-fledged open platforms like Field-Kit in active development and off-the-shelf Zigbee sensors available from manufacturers like Centralite at competitive price points.
How much will Pointelist cost?
We developed Pointelist because we wanted access to highly granular data at a low cost. While Pointelist is not yet for sale, we are currently working towards a cost of $2 per data point. It’s important to note that, unlike other sensor networks, this cost target includes access to an online interface that allows you to manage, view, and store your data.
How many sensors can I cluster on the network at once?
We’ve yet to find a limit. Our deployments have clustered anywhere between 1-300 sensors on a single node. Currently, we recommend clustering no more than 30 sensors per trunk cable and 90 sensors per node for network reliability reasons. As part of your experiment, however, you can try to cluster as many as you want.
What types of sensors are available?
Pointelist currently offers temperature and relative humidity sensors. Other sensor types are in development, but are not yet available for testing.
Is there anything that I shouldn’t measure?
Pointelist is a beta monitoring platform and should be treated as such. It is not intended to provide critical data or to be used in any circumstance in which the data generated is relied upon to ensure the health, safety, or welfare of individuals. Please refer to the user agreement for the full statement of use limitations.
Are the sensors and nodes waterproof?
The system is not waterproof as shipped. However, your kit can easily be made waterproof depending upon its application. Please contact us for more information and examples of our own waterproofed deployments.
When can I access my data?
With Pointelist, your data is dynamically loaded on to our online interface in five-minute intervals. Additionally, the interface allows you to manage your deployments and graph your experiments expeditiously. You can access data from both past and current deployments using either your desktop or other mobile device.
How long will my data be stored?
Data will be stored for no less than 1 year after receiving a kit. For long-term storage, all data can be downloaded via an API (see below) or as an Excel file.
I want to import data directly into my own custom tools. Do you have an API?
We have a RESTful API with example integrations leveraging C#, Javascript, Python, and Grasshopper under development. API documentation can be found here.
Besides a kit, what else do I need to start receiving data?
Once you receive your kit, all you need to get started is a power source and an internet connection, either via Wi-Fi or an Ethernet cord.
What are the Ethernet network requirements?
Standard Ethernet connections, such as 10/100 speed ports or 10/100/1000 high-speed Gigabit ports will work with Pointelist.
What are the Wi-Fi network requirements?
Most common Wi-Fi networks using WEP, WPA, or WPA2 security are compatible with Pointelist, which automatically determines what kind of security your network uses. However, Pointelist does not currently support enterprise-level Wi-Fi authentication, or 802.1x, which includes networks that require login with a username and password, as well as SSID, for Wi-Fi access. Many enterprise network administrators provide WPA2 networks alongside enterprise Wi-Fi networks to support other devices that also do not support enterprise networks, such as printers. Consult your network administrator to determine whether the appropriate network might be available at your location.
Are any firewall configurations needed?
Pointelist only makes outbound connections, so firewall configuration is only necessary if your network blocks outbound connections. Two ports are used by Pointelist, TCP: 80 and UDP: 123. TCP: 80 is a device-server communication for data collection and connectivity status checks. UDP: 123 is an initial date and time synchronization. Ensure that your firewall does not block these two ports in order to allow Pointelist to communicate with your server.
I’ve set up my system and activated my sensors. Why aren’t I receiving any data?
Typically, this issue is caused by incorrect connector installation. In other words, the wires have not been inserted fully into the connectors, or the connectors have not been crushed correctly with the vise grips. We’ve provided a tutorial video that will help you to properly install and crush your connectors. If you’re sure that your connectors have been installed and crushed correctly, confirm that the node is connected to the internet. The center button of the Pointelist node should be blue (if it’s connected via Wi-Fi) or green (if it’s connected via Ethernet). If the center button is red, or shows no color, your node is not connected to the internet. If your node is connected and your sensors are crushed, but you are still experiencing difficulties, please contact us for further support.