HVAC Systems Technologies

The AD5700/AD5700-1 are single-chip solutions, designed and specified to operate as a HART^® FSK half-duplex modem, complying with the HART physical layer requirements. The AD5700/AD5700-1 integrate all of the necessary filtering, signal detection, modulating, demodulating and signal generation functions, thus requiring few external components. The 0.5% precision internal oscillator on the AD5700-1 greatly reduces the board space requirements, making it ideal for line-powered applications in both master and slave configurations. The maximum supply current consumption is 115µA, making theAD5700/AD5700-1 an optimal choice for low power loop-powered applications. Transmit waveforms are phase continuous 1200 Hz and 2200 Hz sinusoids. The AD5700/AD5700-1 contain accurate carrier detect circuitry and use a standard UART interface.

Applications

• Field transmitters
• HART multiplexers
• PLC and DCS analog I/O modules
• HART network connectivity

The ADSW4000 ADI EagleEye™ PeopleCount algorithm enables a people counting function within internal spaces, such as meeting rooms or office spaces. The system edge node analytics unlocks informed insights and analytics with an accurate and secure people counting capability. This data can provide the insight to improve asset and people management, social distancing, security, employee engagement, space utilization, labor productivity, and energy efficiency.

The ADSW4000 is designed to operate solely with the Analog Devices, Inc., ADSP-BF707 Blackfin+® core embedded processor (ADSPBF707BBCZ4-EGE) and is optimized for a CMOS 2D video graphics array (VGA) sensor and lens (the recommended Chicony CYFI013 module incorporates an ON Semiconductor® ASX340AT3C00XPED0-DPBR CMOS image sensor, Chicony YT70005 lens, and lens holder with infrared (IR) filter).

The ADSW4000 ADI EagleEye™ PeopleCount algorithm provides up to a 90% accurate people count within the target area.

The following are the accuracies achieved for tested radii from 3 m to 5 m:

• 90% accuracy in 3 m radius
• 85% accuracy in 4 m radius
• 80% accuracy in 5 m radius

APPLICATIONS

• Building technology solutions
• Intelligent buildings
• Occupancy analytics
• Building management systems

The ADT7320 is a high accuracy digital temperature sensor that offers breakthrough performance over a wide industrial temperature range, housed in a 4 mm × 4 mm LFCSP package. It contains an internal band gap reference, a temperature sensor, and a 16-bit analog-to-digital converter (ADC) to monitor and digitize the temperature to a resolution of 0.0078°C. The ADC resolution, by default, is set to 13 bits (0.0625°C). The ADC resolution is a user programmable mode that can be changed through the serial interface.

The ADT7320 is guaranteed to operate over supply voltages from 2.7 V to 5.5 V. Operating at 3.3 V, the average supply current is typically 210 μA. The ADT7320 has a shutdown mode that powers down the device and offers a shutdown current of typically 2.0 μA at 3.3 V. The ADT7320 is rated for operation over the −40°C to +150°C temperature range.

The CT pin is an open-drain output that becomes active when the temperature exceeds a programmable critical temperature limit. The INT pin is also an open-drain output that becomes active when the temperature exceeds a programmable limit. The INT pin and CT pin can operate in either comparator or interrupt mode.

PRODUCT HIGHLIGHTS

1. Ease of use, no calibration or correction required by the user.
2. Low power consumption.
3. Excellent long term stability and reliability.
4. High accuracy for industrial, instrumentation, and medical applications.
5. Packaged in a 16-lead RoHS-compliant, 4 mm x 4 mm LFCSP package.

APPLICATIONS

• RTD and thermistor replacement
• Thermocouple cold junction compensation
• Medical equipment
• Industrial controls and test
• Food transportation and storage
• Environmental monitoring and HVAC
• Laser diode temperature controls

The ADuCM4050 microcontroller unit (MCU) is an ultra low power integrated microcontroller system with integrated power management for processing, control, and connectivity. The MCU system is based on the ARM^® Cortex^®-M4F processor. The MCU also has a collection of digital peripherals, embedded static random access memory (SRAM) and embedded flash memory, and an analog subsystem that provides clocking, reset, and power management capabilities in addition to an analog-to-digital converter (ADC) subsystem.

This data sheet describes the ARM Cortex-M4F core and memory architecture used on the ADuCM4050 MCU. It does not provide detailed programming information about the ARM processor.

The system features include an up to 52 MHz ARM Cortex-M4F processor, 512 kB of embedded flash memory with error correction code (ECC), an optional 4 kB cache for lower active power, and 128 kB system SRAM with parity. The ADuCM4050 features a power management unit (PMU), multilayer advanced microcontroller bus architecture (AMBA) bus matrix, central direct memory access (DMA) controller, and beeper interface.

The ADuCM4050 features cryptographic hardware supporting advanced encryption standard (AES)-128 and AES-256 with secure hash algorithm (SHA)-256 and the following modes: electronic code book (ECB), cipher block chaining (CBC), counter (CTR), and cipher block chaining-message authentication code (CCM/CCM*) modes.

The ADuCM4050 has protected key storage with key wrap/ unwrap, and keyed hashed message authentication code (HMAC) with key unwrap.

The ADuCM4050 supports serial port (SPORT), serial peripheral interface (SPI), I²C, and universal asynchronous receiver/ transmitter (UART) peripheral interfaces.

The ADuCM4050 features a real-time clock (RTC), general-purpose and watchdog timers, and programmable general-purpose input/output (GPIO) pins. There is a hardware cyclic redundancy check (CRC) calculator with programmable generator polynomial. The device also features a power on reset (POR) and power supply monitor (PSM), a 12-bit successive approximation register (SAR) ADC, a red/green/blue (RGB) timer for driving RGB LED, and a true random number generator (TRNG).

To support low dynamic and hibernate power management, the ADuCM4050 MCU provides a collection of power modes and features such as dynamic- and software-controlled clock gating and power gating.

For full details on the ADuCM4050 MCU, refer to the ADuCM4050 Ultra Low Power ARM Cortex-M4F MCU with Integrated Power Management Hardware Reference.

Product Highlights

1. Ultra low power consumption.
2. Robust operation.
3. Full voltage monitoring in deep sleep modes.
4. ECC support on flash.
5. Parity error detection on SRAM memory.
6. Leading edge security.
7. Fast encryption provides read protection to user algorithms.
8. Write protection prevents device reprogramming by unauthorized code.
9. Failure detection of 32 kHz low frequency external crystal oscillator (LFXTAL) via interrupt.
10. SensorStrobe^™ for precise time synchronized sampling of external sensors. Works in hibernate mode, resulting in drastic current reduction in system solutions. Current consumption reduces by 10 times when using, for example, the ADXL363 accelerometer. Software intervention is not required after setup. No pulse drift due to software execution.

Applications

• Internet of Things (IoT)
• Smart agriculture, smart building, smart metering, smart city, smart machine, and sensor network
• Wearables
• Fitness and clinical
• Machine learning and neural networks

The EVAL-AD7606BFMCZ is a full featured evaluation board that allows users to easily evaluate the features of the AD7606B analog-to-digital converter (ADC). The EVAL-AD7606BFMCZ can be controlled by the system demonstration platform controller board (EVAL-SDP-CH1Z (SDP-H1)). The EVAL-SDP-CH1Z (SDP-H1) allows the EVAL-AD7606BFMCZ to be controlled through the USB port of a PC using the AD7606B evaluation software. The software is available for download from the AD7606B product page.

On-board components include an ADP7118 5 V, low noise low dropout regulator (LDO) and an ADR4525 high precision, band gap voltage reference.

Full data on the AD7606B is available in the AD7606B data sheet, which must be consulted in conjunction with this user guide. Full details on the EVAL-SDP-CH1Z are available on the SDP-H1 product page.

The EV-AD7768-1FMCZ evaluation kit features the AD7768-1 24-bit, 256 kSPS analog-to-digital converter (ADC). The EVAD7768-1FMCZ board connects to the USB port of the PC via the EVAL-SDP-CH1Z motherboard. By default, power is supplied from the EVAL-SDP-CH1Z supply, which is regulated to 5 V and 3.3 V to supply the AD7768-1 and support components.

The EV-AD7768-1FMCZ software fully configures the AD7768-1 device register functionality and provides dc and ac time domain analysis in the form of waveform graphs, histograms, and associated noise analysis for ADC performance evaluation.

The EV-AD7768-1FMCZ is an evaluation board that allows the user to evaluate the features of the ADC. The user PC software executable controls the AD7768-1 over USB through the system demonstration platform (EVAL-SDP-CH1Z).

• RF daughter boards.
• Antennae for over the air packet error rate testing.
• ADuCM3029 EZ-KIT mother board and LCD shield for evaluation and development with the ADF7030-1. The ADF7030-1 daughter boards plug into this mother board.
• ADF7030-1 Design Center, a graphical user interface (GUI) for evaluation of the ADF7030-1. The GUI can be used for configuring the ADF7030-1, evaluating transmit and receive operation, and transmitting and receiving packets.

ADI EagleEye™ is the technology combination of the ADSP-BF707 Blackfin® digital signal processor (DSP), the ADSPBF707BBCZ4-EGE, and Analog Devices, Inc., proprietary software analytics algorithms. The ADSW4000 ADI EagleEye™ PeopleCount algorithm enables a 2D vision, sensor-based, people counting and location solution for rooms and open areas.

The EVAL-ADSW4000KTZ, or ADI EagleEye™ trial kit, is the full sensor to cloud evaluation system.

The ADI EagleEye™ trial kit comprises the ADI EagleEye™ DSP subsystem, a cortex-based microcontroller unit (MCU) subsystem, flash memory, ADI EagleEye™ analytics algorithm, and application firmware.

The ADI EagleEye™ trial kit features a 2D vision sensor (the Chicony CYFI013 module) with a Bluetooth interface for commissioning via a tablet app and cloud connectivity over Wi-Fi for uploading metadata to the cloud.

A companion tablet application, the ADI EagleEye™ PeopleCount app, is available for device commissioning. A cloud-based online dashboard is available to users to access the collected data and a set of actionable insights.

The ADuCM355 on-chip system provides the features needed to bias and to measure a range of different electrochemical sensors. The EVAL-ADuCM355QSPZ allows users to evaluate the performance of the ADuCM355 when implementing a range of different electrochemical techniques, including chronoamperometry, voltammetry, and electrochemical impedance spectroscopy (EIS).

Complete specifications for the ADuCM355 are available in the ADuCM355 data sheet, which must be consulted in conjunction with the EVAL-ADuCM355QSPZ user guide when using the EVAL-ADuCM355QSPZ.

The circuit shown in Figure 1 is a complete thermopile-based gas sensor using the nondispersive infrared (NDIR) principle. This circuit is optimized for CO₂ sensing, but can also accurately measure the concentration of a large number of gases by using thermopiles with different optical filters.

The printed circuit board (PCB) is designed in an Arduino shield form factor and interfaces to the EVAL-ADICUP360 Arduino-compatible platform board. The signal conditioning is implemented with the AD8629 and the ADA4528-1 low noise amplifiers and the ADuCM360 precision analog microcontroller, which contains programmable gain amplifiers, dual 24-bit Σ-Δ analog-to-digital converters (ADCs), and an ARM Cortex-M3 processor.

The circuit shown in Figure 1 is a flexible, integrated, 4-channel thermocouple measurement system based on the AD7124-8 low power, low noise, precision 24-bit, Σ-Δ analog-to-digital converter (ADC).

The circuit can process up to four independent thermocouple channels, and the software linearization algorithms support eight different types of thermocouples (B, E, J, K, N, R, S, and T). The four thermocouples can be connected in any combination, and resistance temperature detectors (RTDs) on each thermocouple channel provide cold junction compensation (CJC). No extra compensation is needed. Thermocouple measurements using this system cover the full operating range of the various types of thermocouples.

The circuit has a standard serial peripheral interface (SPI) connection to Arduino-compatible platform boards for rapid prototyping. With a USB to UART interface and open source firmware, the EVAL-CN0391-ARDZ can be easily adapted to a variety of thermocouple applications.

The circuit shown in Figure 1 measures indoor air quality by using a metal-oxide sensor to detect gases composed of volatile organic compounds. The sensor is composed of a heating resistor and a sensing resistor. When the sense resistor is heated, its value changes as a function of the concentrations of different gases.

The circuit uses a 12-bit, current output digital-to-analog converter (DAC) for precision control of the heater current, and the flexible software allows the heater to operate in one of the following four modes: constant current, constant voltage, constant resistance, and constant temperature.

The circuit is able measure a wide range of sense resistance values by using a software-selectable, five range resistor divider. The board also includes a temperature and humidity sensor that is used for compensating the gas concentration value.

The circuit shown in Figure 1 is a portable gas detector, using a 4-electrode electrochemical sensor, for simultaneous detection of two distinct gases. The potentiostatic circuit uses an optimum combination of components designed to provide single-supply, low power, and low noise performance, while offering a high degree of programmability to accommodate a variety of sensors for different types of gases.

Electrochemical sensors offer several advantages for instruments that detect or measure the concentration of many toxic gases. Most sensors are gas specific and have usable resolutions under one part per million (ppm) of gas concentration.

The Alphasense COH-A2 sensor, which detects carbon monoxide (CO) and hydrogen sulfide (H₂S), is used in this example.

The EVAL-CN0396-ARDZ printed circuit board (PCB) is designed in an Arduino-compatible shield form factor and interfaces to the EVAL-ADICUP360 Arduino-compatible platform board for rapid prototyping.

Toxic gas detection instruments are widely used to alert people of elevated levels of dangerous gases. Many of these instruments use electrochemical gas sensors that contain multiple metal plates, metal pins, and internal metal-based bond wires. These metal components can make the sensor susceptible to picking up energy from nearby RF communication networks, which may result in the instrument reporting an incorrect gas level or even a false gas alarm. An unnecessary workplace evacuation or factory shutdown due to a false alarm can be very costly to an end user.

The European standard EN 50270: 2015, “Electrochemical compatibility – Electrical apparatus for the detection and measurement of combustible gases, toxic gases or Oxygen” specifies the RF frequency range and power levels that a toxic gas detection instrument must be capable of operating in.

The CN-0425 circuit was extensively tested with a number of sensors in an anechoic chamber to prove compliance with the EN 50270 radiated immunity specifications. Additional tests were performed in close proximity to a high power radio transmitter to prove its robustness to near-field RF interference.

Figure 1 shows an electrochemical gas sensor (M1) connected and how to bias and measure the electrochemical toxic gas sensor. This circuit note also shows and explains the filters used to improve radiated immunity of the whole circuit.