Build an Inexpensive Wireless Water Alarm

The best DIY electrical engineering projects are effective, simple, and inexpensive. Devlin Gualtieri’s design of a wireless water alarm, which he describes in Circuit Cellar’s February issue, meets all those requirements.

Like most homeowners, Gualtieri has discovered water leaks in his northern New Jersey home after the damage has already started.

“In all cases, an early warning about water on the floor would have prevented a lot of the resulting damage,” he says.

You can certainly buy water alarm systems that will alert you to everything from a leak in a well-water storage tank to moisture from a cracked boiler. But they typically work with proprietary and expensive home-alarm systems that also charge a monthly “monitoring” fee.

“As an advocate of free and open-source software, it’s not surprising that I object to such schemes,” Gualtieri says.

In February’s Circuit Cellar magazine, now available for membership download or single-issue purchase, Gualtieri describes his battery-operated water alarm. The system, which includes a number of wireless units that signal a single receiver, includes a wireless receiver, audible alarm, and battery monitor to indicate low power.

Photo 1: An interdigital water detection sensor is shown. Alternate rows are lengths of AWG 22 copper wire, which is either bare or has its insulation removed. The sensor is shown mounted to the bottom of the box containing the water alarm circuitry. I attached it with double-stick foam tape, but silicone adhesive should also work.

Photo 1: An interdigital water detection sensor is shown. Alternate rows are lengths of AWG 22 copper wire, which is either bare or has its insulation removed. The sensor is shown mounted to the bottom of the box containing the water alarm circuitry. I attached it with double-stick foam tape, but silicone adhesive should also work.

Because water conducts electricity, Gualtieri sensors are DIY interdigital electrodes that can lie flat on a surface to detect the first presence of water. And their design couldn’t be easier.

“You can simply wind two parallel coils of 22 AWG wire on a perforated board about 2″ by 4″, he says. (See Photo 1.)

He also shares a number of design “tricks,” including one he used to make his low-battery alert work:

“A battery monitor is an important feature of any battery-powered alarm circuit. The Microchip Technology PIC12F675 microcontroller I used in my alarm circuit has 10-bit ADCs that can be optionally assigned to the I/O pins. However, the problem is that the reference voltage for this conversion comes from the battery itself. As the battery drains from 100% downward, so does the voltage reference, so no voltage change would be registered.

Figure 1: This is the portion of the water alarm circuit used for the battery monitor. The series diodes offer a 1.33-V total  drop, which offers a reference voltage so the ADC can see changes in the battery voltage.

Figure 1: This is the portion of the water alarm circuit used for the battery monitor. The series diodes offer a 1.33-V total drop, which offers a reference voltage so the ADC can see changes in the battery voltage.

“I used a simple mathematical trick to enable battery monitoring. Figure 1 shows a portion of the schematic diagram. As you can see, the analog input pin connects to an output pin, which is at the battery voltage when it’s high through a series connection of four small signal diodes (1N4148). The 1-MΩ resistor in series with the diodes limits their current to a few microamps when the output pin is energized. At such low current, the voltage drop across each diode is about 0.35 V. An actual measurement showed the total voltage drop across the four diodes to be 1.33 V.

“This voltage actually presents a new reference value for my analog conversion. The analog conversion now provides the following digital values:

EQ1Table 1 shows the digital values as a function of battery voltage. The nominal voltage of three alkaline cells is 4.75 V. The nominal voltage of three lithium cells is 5.4 V. The PIC12F675 functions from approximately 2 to 6.5 V, but the wireless transmitter needs as much voltage as possible to generate a reliable signal. I arbitrarily coded the battery alarm at 685, or a little above 4 V. That way, there’s still enough power to energize the wireless transmitter at a useful power level.”

Table 1
Battery Voltage ADC Value
5 751
4.75 737
4.5 721
4.24 704
4 683
3.75 661

 

Gaultieri’s wireless transmitter, utilizing lower-frequency bands, is also straightforward.

Photo 2 shows one of the transmitter modules I used in my system,” he says. “The round device is a surface acoustic wave (SAW) resonator. It just takes a few components to transform this into a low-power transmitter operable over a wide supply voltage range, up to 12 V. The companion receiver module is also shown. My alarm has a 916.5-MHz operating frequency, but 433 MHz is a more popular alarm frequency with many similar modules.”

These transmitter and receiver modules are used in the water alarm. The modules operate at 916.5 MHz, but 433 MHz is a more common alarm frequency with similar modules. The scale is inches.

Photo 2: These transmitter and receiver modules are used in the water alarm. The modules operate at 916.5 MHz, but 433 MHz is a more common alarm frequency with similar modules. The scale is inches.

Gualtieri goes on to describe the alarm circuitry (see Photo 3) and receiver circuit (see Photo 4.)

For more details on this easy and affordable early-warning water alarm, check out the February issue.

Photo 3: This is the water alarm’s interior. The transmitter module with its antenna can be seen in the upper right. The battery holder was harvested from a $1 LED flashlight. The box is 2.25“ × 3.5“, excluding the tabs.

Photo 3: This is the water alarm’s interior. The transmitter module with its antenna can be seen in the upper right. The battery holder was harvested from a $1 LED flashlight. The box is 2.25“ × 3.5“, excluding the tabs.

Photo 4: Here is my receiver circuit. One connector was used to monitor the signal strength voltage during development. The other connector feeds an input on a home alarm system. The short antenna reveals its 916.5-MHz operating frequency. Modules with a 433-MHz frequency will have a longer antenna.

Photo 4: Here is my receiver circuit. One connector was used to monitor the signal strength voltage during development. The other connector feeds an input on a home alarm system. The short antenna reveals its 916.5-MHz operating frequency. Modules with a 433-MHz frequency will have a longer antenna.

 

Places for the IoT Inside Your Home

It’s estimated that by the year 2020, more than 30 billion devices worldwide will be wirelessly connected to the IoT. While the IoT has massive implications for government and industry, individual electronics DIYers have long recognized how projects that enable wireless communication between everyday devices can solve or avert big problems for homeowners.

February CoverOur February issue focusing on Wireless Communications features two such projects, including  Raul Alvarez Torrico’s Home Energy Gateway, which enables users to remotely monitor energy consumption and control household devices (e.g., lights and appliances).

A Digilent chipKIT Max32-based embedded gateway/web server communicates with a single smart power meter and several smart plugs in a home area wireless network. ”The user sees a web interface containing the controls to turn on/off the smart plugs and sees the monitored power consumption data that comes from the smart meter in real time,” Torrico says.

While energy use is one common priority for homeowners, another is protecting property from hidden dangers such as undetected water leaks. Devlin Gualtieri wanted a water alarm system that could integrate several wireless units signaling a single receiver. But he didn’t want to buy one designed to work with expensive home alarm systems charging monthly fees.

In this issue, Gualtieri writes about his wireless water alarm network, which has simple hardware including a Microchip Technology PIC12F675 microcontroller and water conductance sensors (i.e., interdigital electrodes) made out of copper wire wrapped around perforated board.

It’s an inexpensive and efficient approach that can be expanded. “Multiple interdigital sensors can be wired in parallel at a single alarm,” Gualtieri says. A single alarm unit can monitor multiple water sources (e.g., a hot water tank, a clothes washer, and a home heating system boiler).

Also in this issue, columnist George Novacek begins a series on wireless data links. His first article addresses the basic principles of radio communications that can be used in control systems.

Other issue highlights include advice on extending flash memory life; using C language in FPGA design; detecting capacitor dielectric absorption; a Georgia Tech researcher’s essay on the future of inkjet-printed circuitry; and an overview of the hackerspaces and enterprising designs represented at the World Maker Faire in New York.

Editor’s Note: Circuit Cellar‘s February issue will be available online in mid-to-late January for download by members or single-issue purchase by web shop visitors.

Registration Open for Sensors Expo & Conference

Thousands of engineers, scientists, and industry professionals are expected to gather for the 28th Annual Sensors Expo & Conference to assess and discuss the development and deployment of sensors and sensors systems.

The Expo & Conference will take place at The Donald E. Stephens Convention Center in Rosemont, IL, from June 25-June 26, 2014, with pre-conference symposia on June 24. Registration is now open at www.sensorsexpo.com.

This event, exclusively focused on sensor technology, will offer more than 65 technical sessions on the latest solutions to current sensing challenges while exploring the most recent sensing technologies. In addition to two full days of education sessions, attendees can participate in three full-day pre-conference symposia, taking place Tuesday, June 24.  The topics include “Designing MEMS In: How to Engage the Supply Chain,” chaired by Karen Lightman, executive director, MEMS Industry Group; “Energy Harvesting for Powering Wireless Sensors,” chaired by Randy Frank, president, Randy Frank & Associates, Ltd.; and “Making the Internet of Things a Reality: A Toolkit for Designing ‘Smart,’ ” chaired by Will Tu, ARM.

“Our team has been working diligently with our advisory board and partners to develop a stellar program offering nine tracks including Chemical & Gas Sensing, Energy Harvesting for Sensor Applications, Internet of Things, M2M, MEMS, Novel Approaches to Measurement and Detection, Power Management for Sensing Applications, Sensors @ Work, and Wireless, in addition to an expanded trade show floor offering hundreds of top vendors in the industry,” said Wendy Loew, group show director.

Conference program topics include smart power grid monitoring, the future of mobile intelligence with sensor fusion, sensors conditioning, challenges of high temperature sensing, and what you need to know to make your product a success. The Expo Hall provides access to suppliers along with information and education on their sensing products and solutions.

In the Expo Hall, attendees will see the latest sensing technologies and solutions, identify new ways to improve products and expand their functionalities using sensors, and learn about “hot” and cutting-edge technology areas. The Expo Hall will feature exhibitors including Analog Devices, Anaren, GridConnect, Microchip Technology, Mouser Electronics, Parker-Hannifin Corporation, Rowebots, STMicroelectronics, and Wyless.

Q&A: Andrew Godbehere, Imaginative Engineering

Engineers are inherently imaginative. I recently spoke with Andrew Godbehere, an Electrical Engineering PhD candidate at the University of California, Berkeley, about how his ideas become realities, his design process, and his dream project. —Nan Price, Associate Editor

Andrew Godbehere

Andrew Godbehere

NAN: You are currently working toward your Electrical Engineering PhD at the University of California, Berkeley. Can you describe any of the electronics projects you’ve worked on?

ANDREW: In my final project at Cornell University, I worked with a friend of mine, Nathan Ward, to make wearable wireless accelerometers and find some way to translate a dancer’s movement into music, in a project we called CUMotive. The computational core was an Atmel ATmega644V connected to an Atmel AT86RF230 802.15.4 wireless transceiver. We designed the PCBs, including the transmission line to feed the ceramic chip antenna. Everything was hand-soldered, though I recommend using an oven instead. We used Kionix KXP74 tri-axis accelerometers, which we encased in a lot of hot glue to create easy-to-handle boards and to shield them from static.

This is the central control belt-pack to be worn by a dancer for CUMotive, the wearable accelerometer project. An Atmel ATmega644V and an AT86RF230 were used inside to interface to synthesizer. The plastic enclosure has holes for the belt to attach to a dancer. Wires connect to accelerometers, which are worn on the dancer’s limbs.

This is the central control belt-pack to be worn by a dancer for CUMotive, the wearable accelerometer project. An Atmel ATmega644V and an AT86RF230 were used inside to interface to synthesizer. The plastic enclosure has holes for the belt to attach to a dancer. Wires connect to accelerometers, which are worn on the dancer’s limbs.

The dancer had four accelerometers connected to a belt pack with an Atmel chip and transceiver. On the receiver side, a musical instrument digital interface (MIDI) communicated with a synthesizer. (Design details are available at http://people.ece.cornell.edu/land/courses/ece4760/FinalProjects/s2007/njw23_abg34/index.htm.)

I was excited about designing PCBs for 802.15.4 radios and making them work. I was also enthusiastic about trying to figure out how to make some sort of music with the product. We programmed several possibilities, one of which was a sort of theremin; another was a sort of drum kit. I found that this was the even more difficult part—not just the making, but the making sense.

When I got to Berkeley, my work switched to the theoretical. I tried to learn everything I could about robotic systems and how to make sense of them and their movements.

NAN: Describe the real-time machine vision-tracking algorithm and integrated vision system you developed for the “Are We There Yet?” installation.

ANDREW: I’ve always been interested in using electronics and robotics for art. Having a designated emphasis in New Media on my degree, I was fortunate enough to be invited to help a professor on a fascinating project.

This view of the Yud Gallery is from the installed camera with three visitors present. Note the specular reflections on the floor. They moved throughout the day with the sun. This movement needed to be discerned from a visitor’s typical movement .

This view of the Yud Gallery is from the installed camera with three visitors present. Note the specular reflections on the floor. They moved throughout the day with the sun. This movement needed to be discerned from a visitor’s typical movement .

For the “Are We There Yet?” installation, we used a PointGrey FireFlyMV camera with a wide-angle lens. The camera was situated a couple hundred feet away from the control computer, so we used a USB-to-Ethernet range extender to communicate with the camera.

We installed a color camera in a gallery in the Contemporary Jewish Museum in San Francisco, CA. We used Meyer Sound speakers with a high-end controller system, which enabled us to “position” sound in the space and to sweep audio tracks around at (the computer’s programmed) will. The Meyer Sound D-Mitri platform was controlled by the computer with Open Sound Control (OSC).

This view of the Yud Gallery is from the perspective of the computer running the analysis. This is a probabilistic view, where the brightness of each pixel represents the “belief” that the pixel is part of an interesting foreground object, such as a pedestrian. Note the hot spots corresponding nicely with the locations of the visitors in the image above.

This view of the Yud Gallery is from the perspective of the computer running the analysis. This is a probabilistic view, where the brightness of each pixel represents the “belief” that the pixel is part of an interesting foreground object, such as a pedestrian. Note the hot spots corresponding nicely with the locations of the visitors in the image above.

The hard work was to then program the computer to discern humans from floors, furniture, shadows, sunbeams, and cloud reflections. The gallery had many skylights, which made the lighting very dynamic. Then, I programmed the computer to keep track of people as they moved and found that this dynamic information was itself useful to determine whether detected color-perturbance was human or not.

Once complete, the experience of the installation was beautiful, enchanting, and maybe a little spooky. The audio tracks were all questions (e.g., “Are we there yet?”) and they were always spoken near you, as if addressed to you. They responded to your movement in a way that felt to me like dancing with a ghost. You can watch videos about the installation at www.are-we-there-yet.org.

The “Are We There Yet?” project opens itself up to possible use as an embedded system. I’ve been told that the software I wrote works on iOS devices by the start-up company Romo (www.kickstarter.com/projects/peterseid/romo-the-smartphone-robot-for-everyone), which was evaluating my vision-tracking code for use in its cute iPhone rover. Further, I’d say that if someone were interested, they could create a similar pedestrian, auto, pet, or cloud-tracking system using a Raspberry Pi and a reasonable webcam.

I may create an automatic cloud-tracking system to watch clouds. I think computers could be capable of this capacity for abstraction, even though we think of the leisurely pastime as the mark of a dreamer.

NAN: Some of the projects you’ve contributed to focus on switched linear systems, hybrid systems, wearable interfaces, and computation and control. Tell us about the projects and your research process.

ANDREW: I think my research is all driven by imagination. I try to imagine a world that could be, a world that I think would be nice, or better, or important. Once I have an idea that captivates my imagination in this way, I have no choice but to try to realize the idea and to seek out the knowledge necessary to do so.

For the wearable wireless accelerometers, it began with the thought: Wouldn’t it be cool if dance and music were inherently connected the way we try to make it seem when we’re dancing? From that thought, the designs started. I thought: The project has to be wireless and low power, it needs accelerometers to measure movement, it needs a reasonable processor to handle the data, it needs MIDI output, and so forth.

My switched linear systems research came about in a different way. As I was in class learning about theories regarding stabilization of hybrid systems, I thought: Why would we do it this complicated way, when I have this reasonably simple intuition that seems to solve the problem? I happened to see the problem a different way as my intuition was trying to grapple with a new concept. That naive accident ended up as a publication, “Stabilization of Planar Switched Linear Systems Using Polar Coordinates,” which I presented in 2010 at Hybrid Systems: Computation and Control (HSCC) in Stockholm, Sweden.

NAN: How did you become interested in electronics?

ANDREW: I always thought things that moved seemingly of their own volition were cool and inherently attention-grabbing. I would think: Did it really just do that? How is that possible?

Andrew worked on this project when computers still had parallel ports. a—This photo shows manually etched PCB traces for a digital EKG (the attempted EEG) with 8-bit LED optoisolation. The rainbow cable connects to a computer’s parallel port. The interface code was written in C++ and ran on DOS. b—The EKG circuitry and digitizer are shown on the left. The 8-bit parallel computer interface is on the right. Connecting the two boards is an array of coupled LEDs and phototransistors, encased in heat shrink tubing to shield against outside light.

Andrew worked on this project when computers still had parallel ports. a—This photo shows manually etched PCB traces for a digital EKG (the attempted EEG) with 8-bit LED optoisolation. The rainbow cable connects to a computer’s parallel port. The interface code was written in C++ and ran on DOS. b—The EKG circuitry and digitizer are shown on the left. The 8-bit parallel computer interface is on the right. Connecting the two boards is an array of coupled LEDs and phototransistors, encased in heat shrink tubing to shield against outside light.

Electric rally-car tracks and radio-controlled cars were a favorite of mine. I hadn’t really thought about working with electronics or computers until middle school. Before that, I was all about paleontology. Then, I saw an episode of Scientific American Frontiers, which featured Alan Alda excitedly interviewing RoboCup contestants. Watching RoboCup [a soccer game involving robotic players], I was absolutely enchanted.

While my childhood electronic toys moved and somehow acted as their own entities, they were puppets to my intentions. Watching RoboCup, I knew these robots were somehow making their own decisions on-the-fly, magically making beautiful passes and goals not as puppets, but as something more majestic. I didn’t know about the technical blood, sweat, and tears that went into it all, so I could have these romantic fantasies of what it was, but I was hooked from that moment.

That spurred me to apply to a specialized science and engineering high school program. It was there that I was fortunate enough to attend a fabulous electronics class (taught by David Peins), where I learned the basics of electronics, the joy of tinkering, and even PCB design and assembly (drilling included). I loved everything involved. Even before I became academically invested in the field, I fell in love with the manual craft of making a circuit.

NAN: Tell us about your first design.

ANDREW: Once I’d learned something about designing and making circuits, I jumped in whole-hog, to a comical degree. My very first project without any course direction was an electroencephalograph!

I wanted to make stuff move on my computer with my brain, the obvious first step. I started with a rough design and worked on tweaking parameters and finding components.

In retrospect, I think that first attempt was actually an electromyograph that read the movements of my eye muscles. And it definitely was an electrocardiograph. Success!

Someone suggested that it might not be a good idea to have a power supply hooked up in any reasonably direct path with your brain. So, in my second attempt, I tried to make something new, so I digitized the signal on the brain side and hooked it up to eight white LEDs. On the other side, I had eight phototransistors coupled with the LEDs and covered with heat-shrink tubing to keep out outside light. That part worked, and I was excited about it, even though I was having some trouble properly tuning the op-amps in that version.

NAN: Describe your “dream project.”

ANDREW: Augmented reality goggles. I’m dead serious about that, too. If given enough time and money, I would start making them.

I would use some emerging organic light-emitting diode (OLED) technology. I’m eyeing the start-up MicroOLED (www.microoled.net) for its low-power “near-to-eye” display technologies. They aren’t available yet, but I’m hopeful they will be soon. I’d probably hook that up to a Raspberry Pi SBC, which is small enough to be worn reasonably comfortably.

Small, high-resolution cameras have proliferated with modern cell phones, which could easily be mounted into the sides of goggles, driving each OLED display independently. Then, it’s just a matter of creativity for how to use your newfound vision! The OpenCV computer vision library offers a great starting point for applications such as face detection, image segmentation, and tracking.

Google Glass is starting to get some notice as a sort of “heads-up” display, but in my opinion, it doesn’t go nearly far enough. Here’s the craziest part—please bear with me—I’m willing to give up directly viewing the world with my natural eyes, I would be willing to have full field-of-vision goggles with high-resolution OLED displays with stereoscopic views from two high-resolution smartphone-style cameras. (At least until the technology gets better, as described in Rainbows End by Vernor Vinge.) I think, for this version, all the components are just now becoming available.

Augmented reality goggles would do a number of things for vision and human-computer interaction (HCI). First, 3-D overlays in the real world would be possible.

Crude example: I’m really terrible with faces and names, but computers are now great with that, so why not get a little help and overlay nametags on people when I want? Another fascinating thing for me is that this concept of vision abstracts the body from the eyes. So, you could theoretically connect to the feed from any stereoscopic cameras around (e.g., on an airplane, in the Grand Canyon, or on the back of some wild animal), or you could even switch points of view with your friend!

Perhaps reality goggles are not commercially viable now, but I would unabashedly use them for myself. I dream about them, so why not make them?

NPU Blade for High-Throughput Packet Processing

ADLINK

The aTCA-N700 NPU blade

The aTCA-N700 Advanced Telecommunications Computing Architecture (ATCA) packet processing blade features dual 32-core network processing units (NPUs) for parallel processing and up to 320G switching capability. The blade delivers advanced packet and security processing capabilities for high-performance, high-throughput, low-latency applications in broadband infrastructure elements (e.g., wireless access point controllers, network security platforms, deep packet inspection, IPTV, LTE gateways, and media servers).

The ADLINK aTCA-N700 complies with the ATCA Base Specification (PICMG 3.0 R.3.0) and the ATCA Ethernet Specification (PICMG 3.1 R2.0). It is powered by dual Cavium OCTEON II CN6880 processors, which each have 32 cnMIPS64 V2 cores and a highly optimized architecture for deep packet inspection, network security, and traffic-shaping applications.

Eight memory sockets are provided to support VLP DDR3-1333 REG/ECC up to 128 GB and data transfer bandwidth up to 320 Gbps. The aTCA-N700 blade also supports TCAM for fast router lookup. The blade features a powerful local management processor (LMP) and a quad-core Freescale Semiconductor QorIQ P2041, which makes local management more flexible and convenient and enables the Cavium processors to focus on packet processing.

Each set of NPUs features its own NOR boot flash memory and NAND OS flash memory in a redundant configuration. The LMP has two EEROM for U-Boot image storage and two SSD devices for operating system and application image storage.

For Ethernet connectivity, the aTCA-N700 utilizes the high-performance Broadcom BCM 56842 Ethernet switch to connect the CN6880 packet processors, backplanes, and I/O ports with the switch fabric providing up to 320 Gbps bandwidth. The aTCA-N700 uses dual fabric interface channels and two base interfaces for data transfer.

Contact ADLINK for pricing.

ADLINK Technology, Inc.
www.adlinktech.com