SLI-1000 FMK Allicdata Electronics
Allicdata Part #:

1649-1086-ND

Manufacturer Part#:

SLI-1000 FMK

Price: $ 0.69
Product Category:

Development Boards, Kits, Programmers

Manufacturer: Sensirion AG
Short Description: FLOW METER KIT FOR SLI-1000
More Detail: SLI-1000 SLI Flow, Liquid Sensor Evaluation Board
DataSheet: SLI-1000 FMK datasheetSLI-1000 FMK Datasheet/PDF
Quantity: 44
Lead Free Status / RoHS Status: Lead free / RoHS Compliant
Moisture Sensitivity Level (MSL): 1 (Unlimited)
1 +: $ 0.63000
Stock 44Can Ship Immediately
$ 0.69
Specifications
Series: SLI
Part Status: Active
Lead Free Status / RoHS Status: --
Sensor Type: Flow, Liquid
Moisture Sensitivity Level (MSL): --
Sensing Range: 1 ml/min
Interface: Analog and Digital
Sensitivity: --
Voltage - Supply: --
Embedded: --
Supplied Contents: Board(s), Cable(s), Accessories
Utilized IC / Part: SLI-1000
Description

Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us:   sales@allicdata.com

The SLI-1000 FMK is a popular evaluation board for sensors, commonly found in industrial, research and development, and automotive applications. It is an integrated board designed to perform data acquisition, signal conditioning, analysis and storage functions. This board, along with its accompanying software, provides an ideal platform for development, testing, and evaluation of various type of sensors.

The SLI-1000 FMK consists of four main components: an ARM processor, a digital signal processor (DSP) companion, an analog-to-digital converter (ADC), and a serial port. The ARM processor performs much of the computationally-intensive functions, such as data acquisition, signal conditioning, and analysis. Meanwhile, the DSP functions as a coprocessor, providing additional computational capability for embedded processor diagnostics and other signal processing tasks. The ADC is used for data acquisition and signal conditioning, while the serial port is used to send data to and receive data from external devices.

The main features of the board include a wide input voltage range (0 to 5V), an extended temperature range (-40 to +120°C), a 12-bit ADC resolution, and a wide sampling rate range (1MHz to 12MHz). Additionally, the board also supports a variety of input/output formats, such as Analog-to-Digital (A/D) encoding, pulse-width modulation (PWM) encoding, pulse-frequency modulation (PFM) encoding, and Proportional-Integral-Derivative (PID) controllers.

In terms of applications, the SLI-1000 FMK is typically used in applications where precise and real-time readings are required from sensors. This includes automotive and industrial applications, where the board can be used to detect and identify faults in the system. The board can also be used for predictive maintenance, where owners can easily detect and identify manufacturing defects or possible damage to the system. Additionally, researchers and developers can use the board to measure and analyze various properties of sensors.

When it comes to its working principle, the board is designed to perform a variety of operations in order to measure and analyze sensor signals. The board first samples the input signal and converts it into digital form, before further filtering and conditioning it according to specific requirements. Then the signal is passed through an analog-to-digital converter which performs signal sampling and then finally stores the data in memory for further processing. The board can also be used to control sensors, either directly or via external controllers.

Overall, the SLI-1000 FMK is an advanced evaluation board used for measuring and analyzing a wide range of sensors. It is an integrated board based on an ARM processor, DSP, ADC, and serial port, and provides an ideal platform for development, testing, and evaluation of sensors. It is commonly found in various applications such as automotive and industrial applications, for predictive maintenance, and by researchers and developers. Its working principle is based on sampling, filtering, and conditioning input signals, followed by analog-to-digital signal conversion and storage into memory.

The specific data is subject to PDF, and the above content is for reference

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