Editorial Technical Reference

Data Sampler

This page explains how Data Sampler is classified within Computer, Electronic and Optical Product Manufacturing. Technical values and manufacturer relationships are research references; confirm the current specification and supplier evidence for each order.

Technical Definition & Core Assembly

A component within a Statistics Analyzer that extracts representative subsets from larger datasets for analysis.

Representative product image. Confirm appearance and specifications with the manufacturer.

Product Specifications

Technical details and manufacturing context for Data Sampler

Definition
The Data Sampler is a critical component of the Statistics Analyzer system responsible for selecting representative data samples from larger datasets. It ensures statistical validity by implementing various sampling methods (random, stratified, systematic) to provide analyzable subsets that accurately reflect the characteristics of the complete dataset while reducing processing requirements. The device is designed for integration into data analysis systems, operating as a part-level component within the analyzer's architecture. It interfaces with data sources, applies sampling rules, and passes selected subsets to downstream processing modules. The unit is housed in a powder-coated aluminum alloy enclosure with dimensions of 100×50×150 mm (W×H×D) and weighs between 0.5 and 1.2 kg depending on configuration. It operates on a 24 V DC input (with ±10% tolerance) and consumes no more than 5 W at nominal input. The sampling rate is adjustable from 1 to 1000 Hz, with a sampling accuracy of ±0.1% relative to full scale. The device is designed for a wide temperature range: operating from -40 to 85 °C and storage from -40 to 105 °C, with non-condensing relative humidity of 10–95%. It offers ingress protection ratings from IP54 to IP65 (per IEC 60529), ensuring dust-tight and water-jet resistance at the higher rating. Communication is supported via RS-485 (Modbus RTU) and USB interfaces. The housing material is aluminum alloy, powder-coated for durability. All specifications are reference values and must be verified with the legal manufacturer or supplier for the specific model and application. The Data Sampler is not a standalone product but a component intended for use within a Statistics Analyzer system.
Working Principle
The Data Sampler operates by applying statistical algorithms to select data points according to predefined sampling methods. It interfaces with data sources, applies sampling rules (probability-based or deterministic), extracts the selected data subsets, and passes them to the analyzer's processing modules while maintaining data integrity and statistical representativeness. The sampling rate can be adjusted from 1 to 1000 Hz, allowing the user to balance data volume and processing load. The device ensures accuracy within ±0.1% of full scale. It is powered by a 24 V DC supply and communicates via RS-485 (Modbus RTU) or USB. The unit is designed to operate in industrial environments with an ingress protection rating up to IP65. For proper operation, the user must configure the sampling method and rate according to the analysis requirements. Verification of model-specific parameters and standards with the manufacturer is recommended.
Common Materials
Electronic components, Circuit board, Plastic housing
Technical Parameters
ParameterTypical rangeNotes & selection driver
Sampling Rate1–1000 HzAdjustable; higher rates increase data volume
Sampling Accuracy±0.1 %Relative to full scale
Input Voltage24 ±10% V DCReverse polarity protected
Power Consumption≤5 WAt nominal input
Operating Temperature-40–85 °CExtended range available
Storage Temperature-40–105 °CNon-condensing
Relative Humidity10–95 %Non-condensing
Ingress ProtectionIP54–IP65IP65 for dust-tight and water-jet resistantIEC 60529
Housing MaterialAluminum alloyPowder-coated
Weight0.5–1.2 kgDepending on configuration
Dimensions (W×H×D)100×50×150 mmWithout connectors
Communication InterfaceRS-485, USBModbus RTU protocol

Ranges are indicative industry figures for RFQ preparation, not a supplier commitment. Confirm every value and standard with the legal manufacturer before ordering.

Components / BOM
  • Sampling Controller
    Manages sampling algorithms and timing
    Material: Integrated circuit
  • Data Buffer
    Temporarily stores incoming data for sampling
    Material: Memory chips
  • Interface Module
    Connects to data sources and analyzer components
    Material: Electronic connectors

Applied To / Applications

This component is essential for the following industrial systems and equipment:

Industrial Ecosystem & Supply Chain Structure

Complementary Systems
Downstream Applications
Specialized Tooling

Application Fit & Sizing Matrix

Operational Limits
pressure: 0 to 10 bar
flow rate: 0.1 to 100 L/min
temperature: -20°C to +85°C
slurry concentration: 0 to 30% solids by weight
Media Compatibility
✓ aqueous solutions ✓ organic solvents ✓ gaseous mixtures
Unsuitable: highly corrosive acids (e.g., concentrated sulfuric acid)
Sizing Data Required
  • dataset volume (GB/TB)
  • required sample size (records/rows)
  • sampling frequency (Hz/samples per second)

Reliability & Engineering Risk Analysis

Failure Mode & Root Cause
Bearing wear and seizure
Cause: Inadequate lubrication, contamination ingress, or misalignment leading to increased friction and heat generation
Seal failure and leakage
Cause: Worn elastomeric seals from chemical degradation, thermal cycling, or improper installation compromising containment integrity
Maintenance Indicators
  • Unusual grinding or squealing noises during operation indicating mechanical distress
  • Visible fluid leaks or excessive vibration beyond normal operational parameters
Engineering Tips
  • Implement condition-based monitoring with vibration analysis and oil particle counting to detect early degradation
  • Establish preventive maintenance schedules for lubrication replacement and seal inspection based on operating hours and environmental conditions

Indicative industry ranges for design and RFQ preparation. Confirm the exact figures and applicable standard with the manufacturer before specifying.

Compliance & Manufacturing Standards

Applicable Standards
ANSI/ASQ Z1.4-2003 Sampling Procedures and Tables for Inspection by Attributes ASTM E11-20 Standard Specification for Woven Wire Test Sieve Cloth and Test Sieves

Quoted from the published standard.

Manufacturing Precision
  • Sampling Frequency: +/- 2% of specified rate
  • Particle Size Accuracy: +/- 0.5 microns
Quality Inspection
  • Calibration Verification Test against NIST-traceable standards
  • Material Composition Analysis via X-ray Fluorescence (XRF) Spectroscopy

Manufacturers of Data Sampler

Manufacturer profiles associated with Data Sampler.

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Technical documentation
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Manufacturing capability
Verify equipment lists, process limits, capacity, and representative production evidence.
Inspection readiness
Confirm test methods, calibrated equipment, sampling plans, and traceable reports.
Supplier transparency
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Frequently Asked Questions

What is the Data Sampler used for?

The Data Sampler is a component within a Statistics Analyzer system. It extracts representative subsets from larger datasets for analysis, ensuring statistical validity while reducing processing requirements.

What are the key electrical specifications?

The device operates on a 24 V DC input (with ±10% tolerance) and consumes no more than 5 W at nominal input. The sampling rate is adjustable from 1 to 1000 Hz, and the sampling accuracy is ±0.1% relative to full scale.

What communication interfaces are available?

The Data Sampler supports RS-485 with Modbus RTU protocol and USB interfaces. These allow integration with the analyzer's processing modules and external systems.

What environmental conditions can it withstand?

It operates in temperatures from -40 to 85 °C and can be stored from -40 to 105 °C, with non-condensing relative humidity of 10–95%. The ingress protection rating ranges from IP54 to IP65 per IEC 60529, depending on configuration.

Data Basis

Editorial classification, named public sources where available, and source-reviewed manufacturer records.

Preliminary Technical Classification
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