MCM-204 Standalone Ethernet DAQ with 4-ch AI, 24-bit, 128kS/s, 4-ch DI/O Features Standalone Ethernet DAQ enabling edge computing RESTful API for periodic machine condition polling Supports a C/C++ API for continuous data streaming Built-in web console for easy configuration and use as a portable DAQ Supports custom algorithms to filter data at the edge Supports IEPE 4mA excitation current output on each analog input to drive an accelerometer Two 1Gb Ethernet ports for cascading Supports TCP socket (client mode) to transmit data actively Introduction Data Filtering at the Edge ADLINKs MCM-204 ultra-compact edge DAQ based on ARM Cortex-A9 The signals acquired by sensors are raw data that must be filtered and processors and featuring built-in, four-channel, 24-bit, high-resolution converted into usable data such as FFT, voltage, g-type array, or OA analog input, can function as a standalone device without a host PC and values. The MCM-204 standalone DAQ system can be deployed at each is ideally suited for 24-hour vibration monitoring of rotating machinery field site and perform the task of filtering raw data that was traditionally and equipment. The MCM-204 delivers high-precision static and dynamic done by an embedded system. By converting and transmitting filtered, measurement performance. The 24-bit Sigma-Delta ADC supports anti- size-reduced data from the edge to the central site, network load and aliasing filtering, suppressing modulation and signal out-of-band noise processing demands on backend servers are reduced dramatically. and providing usable signal bandwidth at the Nyquist rate, making it ideal for high dynamic range signal measurement in machine condition Customized Filtering Algorithms monitoring applications. Through Gb Ethernet communication, data can be transmitted to the central site quickly. Dual Ethernet ports enable The MCM-204 offers flexible support options for custom filtering daisy-chain connections that reduce the cost of network equipment and algorithms written in C/C++ and compiled under Linux. These valuable extend the communication distance. and confidential algorithms can be imported through a web console. The MCM-204 thus enables the migration of user-defined filtering algorithms to the edge in a cost-effective manner. Monitoring of Distributed Machines Monitoring the condition of machines in the field with compressors, Built-in Web Console vacuum pumps, motors, bearings, and generators is key to keeping factories up and running smoothy. Traditionally, operators would visit The MCM-204 s built-in web console allows configuration via web remote machines periodically to perform inspections. However, by browser to make it easy to get started with machine condition the time an abnormality was detected, the machine may have already monitoring and eliminate the need for application specific programming. suffered extensive damage. Settings for relevant parameters and data types are presented in an intuitive dashboard format. The MCM-204 makes it quick and easy to set In order to provide constant machine monitoring, a DAQ system up a machine condition monitoring environment. composed of an embedded system plus a DAQ card can deployed at each remote machine site. However, when remote machines are numerous and spread out geographically, the deployment of DAQ systems at each site becomes prohibitive. The MCM-204 is a standalone Ethernet DAQ system that is designed specifically to perform the tasks of a DAQ system without requiring a complicated embedded system. SDK Optional Accessories ADLINK provides a Streaming SDK and RESTful API to assist AC-DC ADAPTER 40W MEANWELL, GST40A24-AD, Input: 90-264VAC/40W, Output: users with integrating the MCM-204 into their system. 24VDC/1.67A Streaming SDK (with C/C++ sample code) ICP Accelerometer IMI 603C01 RESTful API in C , Python, and JavaScript ICP Accelerometer IMI 603C01, 100mV/g, 0.5 to 10kHz, 2-pin conn. w/ 10-ft cable and magnetic mount Ordering Information MCM-204 Standalone Ethernet DAQ with 4-ch AI, 24-bit, 128kS/s, 4-ch DI/O Product Illustration Specifications Model Name MCM-204 System Specification Ethernet (1Gb) 2x RJ45 Ethernet ports (1 IP, Ethernet cascade supported) MCU ARM Cortex A9 1.0 GHz NAND Flash (eMMC) 4GB Memory DDR3 RAM 1GB USB 2x USB 2.0 (for WiFi dongle only) Power Supply 9 to 30 VDC power input Power Consumption Max. 8.8 W Isolation 1.5kV Communication Interface Web Console / RESTful API / Streaming SDK / TCP Socket (client mode) Digital Temperature Sensor -50C to 150C (with 3 meter cable) Analog Input Number of Channels 4 (simultaneous, BNC type) Resolution 24-bit Maximum Sampling Rate 128kS/s and can be adjusted to 1kS, 2 kS, 4kS, 8kS, 16kS, 32kS, 64kS Input Range (Voltage) 10 V, 1.25 V Input Coupling DC/AC IEPE 4mA, compliance voltage +24V Sensor Type IEPE sensor (vibration detection) Offset Error 0.1mV