Model: Lauther/d4-embeddings-v3.0-tl
Author: Lauther
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, onnx, safetensors, xlm-roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:4151, loss:TripletLoss, dataset:Lauther/d4-embeddings-TripletLoss, arxiv:1908.10084, arxiv:1703.07737, base_model:intfloat/multilingual-e5-large-instruct, base_model:quantized:intfloat/multilingual-e5-large-instruct, text-embeddings-inference, endpoints_compatible, region:us
Base models (quantized): id: intfloat/multilingual-e5-large-instruct
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:4151, loss:TripletLoss
base_model: intfloat/multilingual-e5-large-instruct
widget: source_sentence: flow computer tags
sentences: What is an Uncertainty Curve Point?
An Uncertainty Curve Point represents a data point used to construct the uncertainty curve of a measurement system. These curves help analyze how measurement uncertainty behaves under different flow rate conditions, ensuring accuracy and reliability in uncertainty assessments.

Key Aspects of an Uncertainty Curve Point:
- Uncertainty File ID: Links the point to the specific uncertainty dataset, ensuring traceability.
Equipment Tag ID: Identifies the equipment associated with the uncertainty measurement, crucial for system validation.
- Uncertainty Points: Represent a list uncertainty values recorded at specific conditions, forming part of the overall uncertainty curve. Do not confuse this uncertainty points with the calculated uncertainty. 
- Flow Rate Points: Corresponding flow rate values at which the uncertainty was measured, essential for evaluating performance under varying operational conditions.
These points are fundamental for generating uncertainty curves, which are used in calibration, validation, and compliance assessments to ensure measurement reliability in industrial processes."

**IMPORTANT**: Do not confuse the two types of **Points**:
    - **Uncertainty Curve Point**: Specific to a measurement system uncertainty or uncertainty simulation or uncertainty curve.
    - **Calibration Point**: Specific to the calibration.
    - **Uncertainty values**: Do not confuse these uncertainty points with the single calculated uncertainty., What is a flow computer?
A flow computer is a device used in measurement engineering. It collects analog and digital data from flow meters and other sensors.

Key features of a flow computer:
- It has a unique name, firmware version, and manufacturer information.
- It is designed to record and process data such as temperature, pressure, and fluid volume (for gases or oils)., What is a Measured Magnitude Value?
A Measured Magnitude Value represents a **DAILY** recorded physical measurement of a variable within a monitored fluid. These values are essential for tracking system performance, analyzing trends, and ensuring accurate monitoring of fluid properties.

Key Aspects of a Measured Magnitude Value:
- Measurement Date: The timestamp indicating when the measurement was recorded.
- Measured Value: The daily numeric result of the recorded physical magnitude.
- Measurement System Association: Links the measured value to a specific measurement system responsible for capturing the data.
- Variable Association: Identifies the specific variable (e.g., temperature, pressure, flow rate) corresponding to the recorded value.
Measured magnitude values are crucial for real-time monitoring, historical analysis, and calibration processes within measurement systems.

Database advices:
This values also are in **historics of a flow computer report**. Although, to go directly instead querying the flow computer report you can do it by going to the table of variables data in the database., source_sentence: PTE CAPUAVA B
sentences: What is uncertainty?
Uncertainty is a measure of confidence in the precision and reliability of results obtained from equipment or measurement systems. It quantifies the potential error or margin of error in measurements.

Types of uncertainty:
There are two main types of uncertainty:
1. Uncertainty of magnitudes (variables):
    - Refers to the uncertainty of specific variables, such as temperature or pressure.
    - It is calculated after calibrating a device or obtained from the **equipment** manufacturer's manual.
    - This uncertainty serves as a starting point for further calculations related to the equipment.

2. Uncertainty of the measurement system:
    - Refers to the uncertainty calculated for the overall flow measurement.
    - It depends on the uncertainties of the individual variables (magnitudes) and represents the combined margin of error for the entire system.

Key points:
- The uncertainties of magnitudes (variables) are the foundation for calculating the uncertainty of the measurement system. Think of them as the "building blocks."
- Do not confuse the two types of uncertainty:
    - **Uncertainty of magnitudes/variables**: Specific to individual variables (e.g., temperature, pressure).
    - **Uncertainty of the measurement system**: Specific to the overall flow measurement., What is a Measurement Unit?
A Measurement Unit defines the standard for quantifying a physical magnitude (e.g., temperature, pressure, volume). It establishes a consistent reference for interpreting values recorded in a measurement system.

Each measurement unit is associated with a specific magnitude, ensuring that values are correctly interpreted within their context. For example:

- °C (Celsius) → Used for temperature
- psi (pounds per square inch) → Used for pressure
- m³ (cubic meters) → Used for volume
Measurement units are essential for maintaining consistency across recorded data, ensuring comparability, and enabling accurate calculations within measurement systems., What is a Measurement Type?
Measurement types define the classification of measurements used within a system based on their purpose and regulatory requirements. These types include **fiscal**, **appropriation**, **operational**, and **custody** measurements.  

- **Fiscal measurements** are used for tax and regulatory reporting, ensuring accurate financial transactions based on measured quantities.  
- **Appropriation measurements** track resource allocation and ownership distribution among stakeholders.  
- **Operational measurements** support real-time monitoring and process optimization within industrial operations.  
- **Custody measurements** are essential for legal and contractual transactions, ensuring precise handover of fluids between parties.  

These classifications play a crucial role in compliance, financial accuracy, and operational efficiency across industries such as oil and gas, water management, and energy distribution.  , source_sentence: PTE PARACAMBI A
sentences: What is a Meter Stream?
A Meter Stream represents a measurement system configured within a flow computer. It serves as the interface between the physical measurement system and the computational processes that record and analyze flow data.

Key Aspects of a Meter Stream:
- Status: Indicates whether the meter stream is active or inactive.
- Measurement System Association: Links the meter stream to a specific measurement system, ensuring that the data collected corresponds to a defined physical setup.
- Flow Computer Association: Identifies the flow computer responsible for managing and recording the measurement system's data.
Why is a Meter Stream Important?
A **meter stream** is a critical component in flow measurement, as it ensures that the measurement system is correctly integrated into the flow computer for accurate monitoring and reporting. Since each flow computer can handle multiple meter streams, proper configuration is essential for maintaining data integrity and traceability., What is uncertainty?
Uncertainty is a measure of confidence in the precision and reliability of results obtained from equipment or measurement systems. It quantifies the potential error or margin of error in measurements.

Types of uncertainty:
There are two main types of uncertainty:
1. Uncertainty of magnitudes (variables):
    - Refers to the uncertainty of specific variables, such as temperature or pressure.
    - It is calculated after calibrating a device or obtained from the **equipment** manufacturer's manual.
    - This uncertainty serves as a starting point for further calculations related to the equipment.

2. Uncertainty of the measurement system:
    - Refers to the uncertainty calculated for the overall flow measurement.
    - It depends on the uncertainties of the individual variables (magnitudes) and represents the combined margin of error for the entire system.

Key points:
- The uncertainties of magnitudes (variables) are the foundation for calculating the uncertainty of the measurement system. Think of them as the "building blocks."
- Do not confuse the two types of uncertainty:
    - **Uncertainty of magnitudes/variables**: Specific to individual variables (e.g., temperature, pressure).
    - **Uncertainty of the measurement system**: Specific to the overall flow measurement., What is an Equipment Tag?
An Equipment Tag is a unique label string identifier assigned to equipment that is actively installed and in use within a measurement system. It differentiates between equipment in general (which may be in storage or inactive) and equipment that is currently operational in a system.

Key Aspects of Equipment Tags:
- Equipment-Tag: A distinct label or identifier that uniquely marks the equipment in operation.
- Equipment ID: Links the tag to the corresponding equipment unit.
- Belonging Measurement System: Specifies which measurement system the tagged equipment is part of.
- Equipment Type Name: Classifies the equipment (e.g., transmitter, thermometer), aiding in organization and system integration.
The Equipment Tag is essential for tracking and managing operational equipment within a measurement system, ensuring proper identification, monitoring, and maintenance., source_sentence: PTE UTE BAIXADA FLUMINENSE A
sentences: What are Flow Computer Types?
Flow computer types categorize different models of flow computers used in measurement systems, such as OMNI, KROHNE, ROC, FC302, S600, FLOWBOSS, F407, F107, and ThermoFisher. Each type is defined by its capabilities, functionalities, and applications, determining how it processes measurement data, performs calculations, and enables real-time monitoring. Understanding these types is essential for selecting the right equipment to ensure precise flow measurement, system integration, and operational efficiency., What is an Equipment Type?
An Equipment Type defines a category of measurement or monitoring devices used in a system. Each type of equipment is classified based on its function, the physical magnitude it measures, and its associated measurement unit.

Key Aspects of Equipment Types:
- Categorization: Equipment types include devices like transmitters, thermometers, and other measurement instruments.
- Classification: Equipment can be primary (directly involved in measurement) or secondary (supporting measurement processes).
- Measurement Unit: Each equipment type is linked to a unit of measure (e.g., °C for temperature, psi for pressure).
- Measured Magnitude: Defines what the equipment measures (e.g., temperature, pressure, volume).
Understanding equipment types ensures correct data interpretation, proper calibration, and accurate measurement within a system., What is a measurement system?
**Measurement systems** are essential components in industrial measurement and processing. They are identified by a unique **Tag** and are associated with a specific **installation** and **fluid type**. These systems utilize different **measurement technologies**, including **differential (DIF)** and **linear (LIN)**, depending on the application. Measurement systems can be classified based on their **application type**, such as **fiscal** or **custody transfer**.  , source_sentence: PTE BRAGANÇA PAULISTA C
sentences: What is uncertainty?
Uncertainty is a measure of confidence in the precision and reliability of results obtained from equipment or measurement systems. It quantifies the potential error or margin of error in measurements.

Types of uncertainty:
There are two main types of uncertainty:
1. Uncertainty of magnitudes (variables):
    - Refers to the uncertainty of specific variables, such as temperature or pressure.
    - It is calculated after calibrating a device or obtained from the equipment manufacturer's manual.
    - This uncertainty serves as a starting point for further calculations related to the equipment.

2. Uncertainty of the measurement system:
    - Refers to the uncertainty calculated for the overall flow measurement.
    - It depends on the uncertainties of the individual variables (magnitudes) and represents the combined margin of error for the entire system.

Key points:
- The uncertainties of magnitudes (variables) are the foundation for calculating the uncertainty of the measurement system. Think of them as the "building blocks."
- Do not confuse the two types of uncertainty:
    - **Uncertainty of magnitudes/variables**: Specific to individual variables (e.g., temperature, pressure).
    - **Uncertainty of the measurement system**: Specific to the overall flow measurement.

Database storage for uncertainties:
In the database, uncertainty calculations are stored in two separate tables:
1. Uncertainty of magnitudes (variables):
    - Stores the uncertainty values for specific variables (e.g., temperature, pressure).

2. Uncertainty of the measurement system:
    - Stores the uncertainty values for the overall flow measurement system., What is a Measurement Unit?
A Measurement Unit defines the standard for quantifying a physical magnitude (e.g., temperature, pressure, volume). It establishes a consistent reference for interpreting values recorded in a measurement system.

Each measurement unit is associated with a specific magnitude, ensuring that values are correctly interpreted within their context. For example:

- °C (Celsius) → Used for temperature
- psi (pounds per square inch) → Used for pressure
- m³ (cubic meters) → Used for volume
Measurement units are essential for maintaining consistency across recorded data, ensuring comparability, and enabling accurate calculations within measurement systems., What is an Uncertainty Composition?
An Uncertainty Composition represents a specific factor that contributes to the overall uncertainty of a measurement system. These components are essential for evaluating the accuracy and reliability of measurements by identifying and quantifying the sources of uncertainty.

Key Aspects of an Uncertainty Component:
- Component Name: Defines the uncertainty factor (e.g., diameter, density, variance, covariance) influencing the measurement system.
- Value of Composition: Quantifies the component’s contribution to the total uncertainty, helping to analyze which factors have the greatest impact.
- Uncertainty File ID: Links the component to a specific uncertainty dataset for traceability and validation.
Understanding these components is critical for uncertainty analysis, ensuring compliance with industry standards and improving measurement precision.
datasets: Lauther/d4-embeddings-TripletLoss
pipeline_tag: sentence-similarity
library_name: sentence-transformers
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Created: 2025-07-16 23:07:50