
Las herramientas de IA en línea están transformando rápidamente la ingeniería eléctrica al aumentar las capacidades humanas en diseño de circuitos, análisis de sistemas, electrónica fabricacióny mantenimiento de sistemas eléctricos. Estos sistemas de IA pueden procesar grandes cantidades de datos de simulación, lecturas de sensores y tráfico de red, identificar anomalías complejas o cuellos de botella en el rendimiento y generar nuevas topologías de circuitos o algoritmos de control mucho más rápido que los métodos tradicionales. Por ejemplo, la IA puede ayudarle a optimizar los diseños de las placas de circuito impreso para garantizar la integridad de la señal y la fabricabilidad, acelerar complejas simulaciones electromagnéticas o de flujo de potencia, predecir las características de los dispositivos semiconductores y automatizar una amplia gama de tareas. tratamiento de señales y tareas de análisis de datos.
Las indicaciones que se ofrecen a continuación ayudarán, por ejemplo, en el diseño generativo de antenas o filtros, acelerarán las simulaciones (SPICE, simulaciones de campo electromagnético, análisis de estabilidad del sistema eléctrico), ayudarán en el mantenimiento predictivo en el que la IA analiza los datos de los sensores de los transformadores eléctricos o los componentes de la red para prever posibles fallos, lo que permite un mantenimiento proactivo y minimiza el tiempo de inactividad, ayudarán en la selección de materiales semiconductores o la selección óptima de componentes (por ejemplo, elegir el mejor amplificador óptico para parámetros específicos), y mucho más.
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- Modelización predictiva
- Ingeniería eléctrica
AI Prompt to Previsión de carga a corto plazo de la microrred
- Inteligencia Artificial (IA), Energía, Impacto ambiental, Aprendizaje automático, Algoritmos de mantenimiento predictivo, Energía renovable, Red inteligente de respuesta a la demanda, Prácticas de sostenibilidad
Desarrolla una previsión de carga a corto plazo para una microrred utilizando los datos históricos de carga y meteorológicos proporcionados y generando predicciones en formato CSV. Esto ayuda en la planificación operativa de las microrredes.
Salida:
- CSV
- no requiere Internet en directo
- Campos: {historical_load_data_csv} {weather_forecast_data_csv} {prediction_horizon_hours}
You are an AI assistant specialized in time series forecasting for power systems especially microgrids.
**Objective:** Generate a short-term load forecast for a microgrid based on provided historical load data and weather forecast data.
**Input Data (User will provide this data directly in the prompt or as described):**
- Historical Load Data (CSV string): `{historical_load_data_csv}`
* **Format:** Two columns: 'Timestamp' (YYYY-MM-DD HH:MM:SS) and 'Load_kW'.
* **Content:** Sufficient historical data (e.g. several weeks or months) at hourly or sub-hourly resolution.
- Weather Forecast Data (CSV string): `{weather_forecast_data_csv}`
* **Format:** Columns: 'Timestamp' (YYYY-MM-DD HH:MM:SS) 'Temperature_Celsius' 'Humidity_Percent' 'Irradiance_W_m2' (if available/relevant).
* **Content:** Weather forecast corresponding to the desired prediction period.
- Prediction Horizon (integer hours): `{prediction_horizon_hours}` (e.g. 24 for next 24 hours 48 for next 48 hours). Max 72 hours.
**Task:**
1. **Understand Data:** Parse the provided CSV string data for historical load and weather forecasts.
2. **Preprocessing (Conceptual Steps you should follow):**
* Align timestamps of load and weather data.
* Create lagged load features (e.g. load from 1 hour ago 24 hours ago).
* Create time-based features (e.g. hour of day day of week).
3. **Model Selection (Choose a simple yet effective model):**
* You can use a straightforward time series model like SARIMA or a simple regression model (e.g. Gradient Boosting Regressor Random Forest Regressor) using lagged load weather features and time features. STATE YOUR CHOSEN MODEL in a comment.
4. **Model Training:** Train your chosen model on the prepared historical data.
5. **Forecasting:** Generate load forecasts for the duration specified by `{prediction_horizon_hours}` using the `{weather_forecast_data_csv}`.
6. **Output Format:**
* The output MUST be in CSV format.
* Columns: 'Timestamp' (YYYY-MM-DD HH:MM:SS) 'Predicted_Load_kW'.
* The timestamps should cover the `{prediction_horizon_hours}` from the end of the historical data.
**IMPORTANT:**
- The AI should perform the forecast calculation. This is not about writing code for the user to run but providing the direct CSV forecast output.
- If the provided data is insufficient or in a clearly wrong format respond with an error message detailing the issue.
- For the model keep it relatively simple to ensure reliable execution within typical AI prompt limitations unless you are confident in handling more complex models internally. State the model used in a comment in your thought process or output if possible without breaking CSV rules (e.g. as a preamble before the CSV). For this output just return the CSV as requested.
- Ensure the Timestamp in the output is for the future predicted period.
- Ideal para: Operadores de microrredes o ingenieros eléctricos que necesiten una previsión de carga rápida a corto plazo basada en datos históricos disponibles y predicciones meteorológicas para ayudar en la programación operativa y la gestión de la energía.
- Consideraciones éticas y análisis de impacto
- Ingeniería eléctrica
AI Prompt to Análisis ético Nuevo dispositivo de alimentación
- Tecnologías limpias, Diseño para la sostenibilidad, Ingeniería eléctrica, Impacto ambiental, Análisis del ciclo de vida (ACV), Gestión del ciclo de vida de los productos, Energía renovable, Análisis de riesgos, Desarrollo sostenible
Evalúa las consideraciones éticas, las consecuencias sociales y el impacto medioambiental de un nuevo dispositivo de energía eléctrica. Este ejercicio ayuda a los ingenieros a identificar posibles dilemas y vías de innovación responsable mediante el análisis de su ciclo de vida.
Salida:
- Markdown
- no requiere Internet en directo
- Campos: {device_description} {material_list_csv} {manufacturing_process_summary}
You are an AI assistant for Electrical Engineers specializing in ethical impact analysis.
**Objective:** Conduct a comprehensive ethical consideration and impact analysis for a new electrical power device.
**Device Information:**
- New Device Description: `{device_description}` (e.g. type of device functionality novelty performance metrics)
- Material List (CSV format): `{material_list_csv}` (Columns: MaterialName SourceToxicityRecyclability)
- Manufacturing Process Summary: `{manufacturing_process_summary}` (Key steps energy consumption waste products)
**Task:**
Generate a report in MARKDOWN format. The report MUST address the following areas:
1. **Ethical Dilemmas:** Analyze potential ethical issues related to the device's development manufacturing use and disposal. (e.g. resource sourcing labor practices data privacy if applicable safety).
2. **Societal Consequences:** Evaluate potential positive and negative societal impacts. (e.g. job creation skill displacement accessibility public safety quality of life).
3. **Environmental Impact Assessment:** Detail potential environmental effects throughout the device lifecycle. (e.g. carbon footprint resource depletion pollution e-waste generation).
4. **Recommendations for Responsible Innovation:** Propose actionable strategies to mitigate negative impacts and enhance positive contributions.
**IMPORTANT:**
- Your analysis MUST be grounded in established ethical frameworks and sustainability principles relevant to Electrical Engineering.
- Provide specific examples and justifications for your points.
- The output MUST be a well-structured MARKDOWN document.
- Ideal para: Ingenieros eléctricos que desarrollen nuevos dispositivos o sistemas electrónicos de potencia y necesiten tener en cuenta de forma proactiva sus repercusiones más amplias para un diseño e implantación responsables.
- Consideraciones éticas y análisis de impacto
- Ingeniería eléctrica
AI Prompt to Impacto social AI Smart Grid
- Inteligencia Artificial (IA), Sistemas ciberfísicos (CPS), Impacto ambiental, Red inteligente de respuesta a la demanda
Examina el impacto social del despliegue de un algoritmo específico de IA en la gestión de redes inteligentes dentro de un contexto geográfico definido. El objetivo es descubrir los efectos sobre la privacidad y la fiabilidad de la equidad para una toma de decisiones informada.
Salida:
- Texto
- no requiere Internet en directo
- Campos: {ai_algorithm_description} {deployment_scenario} {geographical_region}
You are an AI assistant for Electrical Engineers focusing on the societal implications of technology.
**Objective:** Analyze the societal impact of deploying a specific Artificial Intelligence (AI) algorithm for smart grid management.
**Contextual Information:**
- AI Algorithm Description: `{ai_algorithm_description}` (e.g. machine learning technique purpose data inputs outputs)
- Deployment Scenario: `{deployment_scenario}` (e.g. predictive maintenance load balancing demand-response program)
- Geographical Region of Deployment: `{geographical_region}` (e.g. urban rural specific country or city noting unique demographic or infrastructure features)
**Task:**
Provide a textual analysis detailing the potential societal impacts. Your analysis MUST include:
1. **Positive Impacts:** Identify benefits such as improved grid efficiency reliability cost savings for consumers and integration of renewables.
2. **Negative Impacts & Risks:** Identify potential drawbacks such as job displacement for traditional roles data privacy concerns algorithmic bias leading to unfair energy distribution and cybersecurity vulnerabilities.
3. **Equity Considerations:** Discuss how the AI deployment might affect different socio-economic groups. Will it exacerbate or alleviate energy poverty or digital divide?
4. **Stakeholder Impact:** Briefly outline impacts on key stakeholders (consumers utility companies regulators employees).
**IMPORTANT:**
- Frame your analysis from an Electrical Engineering perspective but with a strong emphasis on societal outcomes.
- The response should be a balanced view highlighting both opportunities and challenges.
- Use clear and concise language avoiding overly technical jargon where possible.
- Ideal para: Ingenieros eléctricos y responsables políticos que trabajan en soluciones de redes inteligentes y necesitan comprender las ramificaciones sociales de la integración de la IA para garantizar resultados equitativos y beneficiosos.
- Consideraciones éticas y análisis de impacto
- Ingeniería eléctrica
AI Prompt to Dilemas éticos Inspección autónoma
- Inteligencia Artificial (IA), Vehículo autónomo, Ciberseguridad, Drone, Impacto ambiental, Gestión de riesgos, Seguridad
Identifica y explora los dilemas éticos relacionados con el uso de drones autónomos para la inspección de infraestructuras eléctricas centrándose en la vigilancia de la privacidad de los datos y la seguridad. El tema ayuda a crear directrices operativas.
Salida:
- Markdown
- no requiere Internet en directo
- Campos: {drone_capabilities_description} {data_collection_policy_summary} {contexto_operativo}
You are an AI assistant for Electrical Engineers with expertise in autonomous systems and ethics.
**Objective:** Identify and analyze potential ethical dilemmas associated with using autonomous drones for electrical infrastructure inspection.
**System Details:**
- Drone Capabilities Description: `{drone_capabilities_description}` (e.g. sensor types data captured flight autonomy level operational range)
- Data Collection & Usage Policy Summary: `{data_collection_policy_summary}` (How data is collected stored processed shared and secured)
- Operational Context: `{operational_context}` (e.g. urban vs rural inspections над private property critical infrastructure zones)
**Task:**
Generate a MARKDOWN document outlining:
1. **Key Ethical Dilemmas:** Systematically list and describe potential ethical dilemmas. Examples include:
* Privacy violations (surveillance of private citizens or property).
* Data security and misuse of collected sensitive information.
* Safety risks (drone malfunction causing harm or damage).
* Accountability and liability in case of errors or accidents.
* Potential for misuse (e.g. unauthorized surveillance).
2. **Analysis of Dilemmas:** For each dilemma discuss its implications for individuals society and the engineering profession.
3. **Proposed Mitigation Strategies/Best Practices:** For each identified dilemma suggest concrete ethical guidelines operational procedures or technological safeguards to mitigate risks.
**IMPORTANT:**
- The focus MUST be on the unique ethical challenges posed by AUTONOMOUS inspection systems in Electrical Engineering.
- Ensure proposed strategies are practical and actionable for engineering teams.
- The output format MUST be a structured MARKDOWN list.
- Ideal para: Ingenieros y directivos de empresas de servicios públicos o proveedores de servicios que despliegan tecnología de drones autónomos para la inspección de infraestructuras, ayudándoles a establecer marcos operativos éticos.
- Consideraciones éticas y análisis de impacto
- Ingeniería eléctrica
AI Prompt to Implicaciones políticas Implantación de la recarga de VE
- Automotor, Impacto ambiental, Energía renovable, Prácticas de sostenibilidad
Analiza las implicaciones políticas del despliegue a gran escala de una tecnología específica de recarga de vehículos eléctricos (VE), proporcionando información para la planificación de infraestructuras y el desarrollo normativo. Este informe aprovecha los recursos en línea para obtener el contexto político actual.
Salida:
- Texto
- requiere Internet en directo
- Campos: {ev_charging_technology_description} {target_deployment_scale} {existing_energy_policy_summary_url}
You are an AI assistant for Electrical Engineers specializing in energy policy and electric mobility.
**Objective:** Analyze the policy implications of a widespread rollout of a specific Electric Vehicle (EV) charging technology.
**Scenario Details:**
- EV Charging Technology: `{ev_charging_technology_description}` (e.g. Level 2 AC ultra-fast DC V2G capabilities)
- Target Deployment Scale: `{target_deployment_scale}` (e.g. city-wide national coverage percentage of parking spots)
- Existing Energy Policy Summary URL: `{existing_energy_policy_summary_url}` (Link to a document or webpage summarizing current relevant energy policies for the target region)
**Task:**
Access the provided URL for context on existing energy policies. Then generate a textual report covering:
1. **Impact on Grid Infrastructure:** Discuss necessary grid upgrades investments and management strategies to support the scaled deployment.
2. **Required Regulatory Changes:** Identify new regulations or modifications to existing ones needed for issues like:
* Standardization and interoperability of charging equipment.
* Electricity tariff structures for EV charging.
* Permitting processes for charger installation.
* Data privacy and security for charging transactions.
3. **Economic Policy Considerations:** Analyze incentives subsidies carbon pricing or other economic instruments to encourage adoption and manage costs.
4. **Social Equity Policies:** Suggest policies to ensure equitable access to charging infrastructure across different income groups and geographical areas (urban/rural).
**IMPORTANT:**
- Your analysis MUST integrate information from the provided `{existing_energy_policy_summary_url}`.
- Focus on actionable policy recommendations relevant to Electrical Engineering and infrastructure planning.
- The output should be a structured textual report.
- Ideal para: Asesores políticos, urbanistas e ingenieros eléctricos que trabajen en la estrategia de infraestructuras de VE y necesiten comprender cómo las opciones tecnológicas interactúan con los cambios en la política energética y los hacen necesarios.
- Asistencia para propuestas de subvención y redacción científica
- Ingeniería eléctrica
AI Prompt to Proyecto de declaración de impacto de la subvención
- Fabricación aditiva, Vehículo autónomo, Ingeniería eléctrica, Impacto ambiental, Innovación, Gestión de proyectos, Gestión de calidad, Investigación y desarrollo, Prácticas de sostenibilidad
Redacta una sección convincente de Declaración de Impacto para una propuesta de subvención sobre un proyecto específico de investigación en ingeniería eléctrica. Ayuda a articular el significado más amplio y los beneficios potenciales de la investigación para la sociedad y la comunidad científica.
Salida:
- Texto
- no requiere Internet en directo
- Campos: {research_project_summary} {lista_de_resultados_esperados} {descripción_de_beneficiarios_objetivo}
You are an AI assistant specialized in scientific writing for Electrical Engineers.
**Objective:** Draft a compelling 'Broader Impacts' or 'Impact Statement' section for a grant proposal related to an electrical engineering research project.
**Proposal Information:**
- Research Project Summary: `{research_project_summary}` (Briefly describe the project's goals methodology and primary research question in electrical engineering).
- List of Expected Outcomes: `{expected_outcomes_list}` (e.g. new algorithm developed novel material characterized improved system efficiency demonstrated).
- Target Beneficiaries Description: `{target_beneficiaries_description}` (Who will benefit from this research e.g. specific industries scientific community public society at large).
**Task:**
Generate a draft text for the Impact Statement. The statement MUST:
1. Clearly articulate the potential of the research to advance knowledge and understanding within its field and across different fields.
2. Describe the potential broader benefits to society (e.g. economic environmental health or security benefits).
3. Explain how the project will contribute to achieving specific societal goals if applicable (e.g. related to sustainability energy efficiency healthcare).
4. Outline plans to disseminate results and engage the broader community (if applicable).
5. Be written in a persuasive and clear tone suitable for grant reviewers.
**IMPORTANT:**
- The length should be appropriate for a standard grant proposal section (typically 1-2 paragraphs).
- Focus on the SIGNIFICANCE and POTENTIAL BENEFITS of the research.
- Ensure the language aligns with common grant proposal writing styles.
- Ideal para: Investigadores en ingeniería eléctrica que preparan propuestas de subvención y necesitan ayuda para articular el impacto y la importancia de su trabajo ante los organismos de financiación.
- Traducción y adaptación lingüística
- Ingeniería eléctrica
AI Prompt to Simplificar la terminología de las hojas de datos RFIC
- Diseño para fabricación aditiva (DfAM), Diseño para la fabricación (DfM), Ingeniería eléctrica, Electrónica, Desarrollo de productos, Seguro de calidad, Control de calidad, Procesamiento de señales, Diseño del sistema
Simplifica y explica la compleja terminología y especificaciones de las hojas de datos de los RFIC (circuitos integrados de radiofrecuencia) (por ejemplo, los parámetros S de IIP3 NF P1dB) para los ingenieros eléctricos que no son especialistas en RF pero necesitan integrar estos circuitos integrados. Esto ayuda a seleccionar mejor los componentes y a diseñar el sistema. El resultado es una explicación en formato markdown.
Salida:
- Markdown
- no requiere Internet en directo
- Campos: {rfic_datasheet_snippet_text} {target_audience_role} {specific_parameters_to_clarify_csv_optional}
Act as a Senior RF Applications Engineer.
Your TASK is to simplify and explain the complex terminology and specifications found in the provided `{rfic_datasheet_snippet_text}` from an RFIC (Radio Frequency Integrated Circuit) datasheet.
The explanation should be tailored for a `{target_audience_role}` (e.g.
'Embedded Systems Engineer integrating an RF module'
'Power Electronics Engineer needing to understand EMI from an RF section'
'Project Manager overseeing a wireless product development').
If `{specific_parameters_to_clarify_csv_optional}` (CSV string of parameter names
e.g.
'IIP3
Noise_Figure_NF
P1dB
S21') is provided
focus particularly on those.
**EXPLANATION STRUCTURE (Markdown format):**
**Original Datasheet Snippet Context:** (Briefly state what kind of RFIC the snippet likely refers to
e.g.
LNA
Mixer
PA
Transceiver
based on the terms in the snippet).
**Simplified Explanation of Key Terms and Specifications:**
*(For each key term or parameter found in the snippet
especially those in `{specific_parameters_to_clarify_csv_optional}`
provide the following):*
**1. Parameter/Term:** `[e.g.
IIP3 (Input Third-Order Intercept Point)]`
* **Plain Language Definition**: What does this parameter fundamentally measure or indicate
in simple terms?
* _Example for IIP3_: "IIP3 tells you how well the RFIC handles strong incoming signals without creating its own unwanted interference (called intermodulation distortion). A higher IIP3 value is generally better
meaning it's more 'linear' and less prone to creating this self-interference when multiple signals are present."
* **Why it Matters to `{target_audience_role}`**: How does this parameter impact the overall system performance or design considerations for someone in that role?
* _Example for IIP3 & Embedded Engineer_: "If you have many wireless devices nearby or strong signals in your environment
an RFIC with a poor (low) IIP3 might get 'overloaded' and its receiver could stop working correctly or produce errors
even if the desired signal is clean. You might need better filtering before this RFIC
or choose one with a higher IIP3."
* **Typical Values & Units (if in snippet)**: Mention typical units (e.g.
dBm for IIP3
dB for NF). If the snippet gives a value
mention if it's good/typical for that type of device.
* **Simplified Analogy (Optional
if helpful)**: Use a simple analogy if it clarifies the concept.
* _Example for NF (Noise Figure)_: "Think of Noise Figure like the 'static' a radio adds to a weak station. A lower NF means the RFIC adds less of its own noise
so it can pick up weaker desired signals more clearly."
**2. Parameter/Term:** `[e.g.
Noise Figure (NF)]`
* **Plain Language Definition**: ...
* **Why it Matters to `{target_audience_role}`**: ...
* ...and so on.
**3. Parameter/Term:** `[e.g.
P1dB (Output Power at 1dB Compression Point)]`
* ...
**4. Parameter/Term:** `[e.g.
S21 (Forward Transmission Coefficient / Gain)]`
* ...
**General Implications from the Snippet for `{target_audience_role}`:**
* Based on the overall values in `{rfic_datasheet_snippet_text}`
what are the key takeaways or design trade-offs this RFIC implies for the system? (e.g.
'This LNA seems optimized for very low noise reception but may not handle very strong interfering signals well.'
or 'This PA offers high output power
but you'll need to manage heat dissipation and ensure the power supply is robust.').
**IMPORTANT**: The simplification MUST NOT sacrifice technical accuracy but should prioritize clarity for the specified non-RF-specialist audience. Focus on practical implications. If the snippet is too short for a full explanation of all terms
focus on the most critical ones or those listed in `{specific_parameters_to_clarify_csv_optional}`.
- Ideal para: Simplificar la compleja terminología de las hojas de datos RFIC (como IIP3 NF P1dB) para ingenieros eléctricos no especializados en RF, lo que permite una mejor comprensión e integración de los componentes en los diseños de sistemas.
- Asistencia para propuestas de subvención y redacción científica
- Ingeniería eléctrica
AI Prompt to Perfeccionar el documento de la sección de metodología
- Diseño para Seis Sigma (DfSS), Ingeniería eléctrica, Metodología, Mejora de procesos, Gestión de proyectos, Seguro de calidad, Control de calidad, Investigación y desarrollo, Análisis estadístico
Refina el borrador de la sección metodológica de un artículo técnico centrándose en la claridad, coherencia y exhaustividad de la investigación en ingeniería eléctrica. Esta tarea mejora el rigor científico y la legibilidad del manuscrito.
Salida:
- Texto
- no requiere Internet en directo
- Campos: {texto_del_proyecto_de_metodología} {lista_técnicas_de_medición_clave} {tono_y_estilo_deseados}
You are an AI assistant specialized in scientific writing and editing for Electrical Engineering publications.
**Objective:** Critique and refine a draft methodology section for a research paper on electrical engineering ensuring clarity coherence and completeness.
**Input Details:**
- Draft Methodology Text: `{draft_methodology_text}` (Paste the existing draft of the methodology section).
- List of Key Measurement Techniques Used: `{key_measurement_techniques_list}` (e.g. SEM XRD Vector Network Analyzer Oscilloscope type specific testbeds).
- Desired Tone and Style: `{desired_tone_and_style}` (e.g. 'formal and concise for IEEE Transactions' 'detailed for a methods journal').
**Task:**
Provide a revised version of the methodology section. Your revisions MUST focus on:
1. **Clarity:** Ensure all steps procedures and setups are described clearly and unambiguously. Define any non-standard terminology or acronyms.
2. **Completeness:** Check if all essential information is present that would allow another researcher to replicate the experiments (e.g. equipment specifications settings materials parameters). Prompt for missing critical details if observed.
3. **Logical Flow:** Organize the information logically typically in chronological order or by experimental setup.
4. **Conciseness:** Remove any redundant information or overly verbose phrasing while maintaining rigor.
5. **Adherence to Tone:** Ensure the language matches the `{desired_tone_and_style}`.
6. **Highlight Key Techniques:** Ensure the `{key_measurement_techniques_list}` are appropriately detailed and integrated.
**Output Format:**
Return the revised methodology text. You MAY also provide a brief list of key changes or suggestions as comments preceding the revised text.
**IMPORTANT:**
- Assume the scientific validity of the methods; focus on the WRITING and PRESENTATION.
- Pay attention to common pitfalls in methodology writing in electrical engineering papers.
- Ideal para: Investigadores en ingeniería eléctrica que redacten artículos técnicos y necesiten mejorar la claridad, integridad y fluidez de su sección metodológica para cumplir las normas de publicación.
- Traducción y adaptación lingüística
- Ingeniería eléctrica
AI Prompt to Traducir texto de cláusula de norma de seguridad eléctrica
- Ingeniería eléctrica, Ingeniería, Impacto ambiental, Seguro de calidad, Gestión de calidad, Gestión de riesgos, Seguridad, Normas
Traduce una cláusula o sección específica de una norma de seguridad eléctrica (por ejemplo, IEC ISO UL) de un idioma de origen a otro de destino, garantizando el significado técnico preciso de los términos críticos para la seguridad. Esto contribuye al cumplimiento y la comprensión global de los requisitos de seguridad. El resultado es el texto traducido.
Salida:
- Texto
- no requiere Internet en directo
- Campos: {source_language_name_or_iso_code} {target_language_name_or_iso_code} {safety_standard_clause_full_text}
Act as a Certified Technical Translator specializing in Electrical Safety Standards (e.g.
IEC
ISO
UL
EN).
Your TASK is to accurately translate the provided `{safety_standard_clause_full_text}` from `{source_language_name_or_iso_code}` to `{target_language_name_or_iso_code}`.
You MUST ensure that all technical terms
safety-critical phrases
and normative language (e.g.
'shall'
'should'
'may'
'must') are translated with the highest fidelity to their established meanings in the target language's safety engineering domain.
**TRANSLATION REQUIREMENTS:**
1. **Terminology Precision**:
* Identify all specific electrical engineering and safety terms within the `{safety_standard_clause_full_text}` (e.g.
'Basic Insulation'
'Protective Earthing'
'Creepage Distance'
'Clearance'
'Fault Condition'
'Risk Assessment'
'Live Part'
'Voltage Withstand Test'
'Degree of Protection IPXX').
* Use the officially recognized or most widely accepted technical equivalents for these terms in the `{target_language_name_or_iso_code}`. Consult glossaries or terminology databases if your internal knowledge allows.
* Maintain consistency in terminology throughout the translation.
2. **Preservation of Normative Meaning**:
* Accurately convey the obligational strength of modal verbs: 'shall'/'must' (requirement)
'should' (recommendation)
'may' (permission).
3. **Contextual Accuracy**:
* Ensure the translation makes sense within the broader context of electrical safety engineering and the likely purpose of such a standard clause.
4. **Clarity and Readability**:
* The translated text should be clear
unambiguous
and grammatically correct in the `{target_language_name_or_iso_code}`
suitable for use by professional engineers.
5. **Formatting**:
* Preserve the original formatting (e.g.
numbering
bullet points
sub-clauses) of the `{safety_standard_clause_full_text}` as much as possible in the output text.
**Output Format:**
The output MUST be the translated text of the `{safety_standard_clause_full_text}` in the `{target_language_name_or_iso_code}` ONLY.
Do NOT include any of the original source text or any comments/annotations
unless annotations for clarification of a highly ambiguous term are absolutely unavoidable (and should be marked as such
e.g.
'[Translator's note: ...]').
**Example (Conceptual - showing focus on terms):**
If `{source_language_name_or_iso_code}` is 'German' and `{target_language_name_or_iso_code}` is 'English'
and the German text includes "Schutzleiteranschluss muss zuverlässig sein"
a good translation would focus on "Protective earth terminal must be reliable" rather than a more literal but less standard "Safety conductor connection must be dependable."
**IMPORTANT**: Your primary goal is technical and normative accuracy for safety-critical information. If a phrase is genuinely ambiguous in the source text
translate it to reflect that ambiguity rather than making an unverified assumption.
- Ideal para: Proporcionar traducciones precisas de cláusulas de normas de seguridad eléctrica entre idiomas que garanticen la precisión técnica de la terminología crítica de seguridad para los esfuerzos de cumplimiento global de los ingenieros eléctricos.
- Asistencia para propuestas de subvención y redacción científica
- Ingeniería eléctrica
AI Prompt to Literature Review Outline Thesis
- Pensamiento de diseño, Ingeniería eléctrica, Innovación, Metodología, Mejora de procesos, Gestión de calidad, Investigación y desarrollo, Prácticas de sostenibilidad
Generates a structured literature review outline for a PhD thesis in a specific area of electrical engineering. It helps organize the background research and identify key themes and knowledge gaps.
Salida:
- Markdown
- no requiere Internet en directo
- Fields: {thesis_topic_statement} {key_subtopics_or_areas_list} {number_of_main_sections}
You are an AI assistant skilled in research methodology and scientific writing for Electrical Engineering doctoral candidates.
**Objective:** Generate a structured literature review outline for a PhD thesis on a given electrical engineering topic.
**Thesis Information:**
- Thesis Topic Statement: `{thesis_topic_statement}` (A concise statement of the main research topic/problem).
- Key Sub-Topics or Areas to Cover: `{key_subtopics_or_areas_list}` (Comma-separated list of specific technologies concepts or theoretical areas that MUST be included).
- Desired Number of Main Sections: `{number_of_main_sections}` (An integer e.g. 3 4 or 5 for the main thematic sections of the review).
**Task:**
Create a detailed literature review outline in MARKDOWN format. The outline MUST:
1. Start with an Introduction section (briefly stating scope and objectives of the review).
2. Be divided into the `{number_of_main_sections}` main thematic sections. For each main section:
* Suggest a clear heading.
* List 3-5 key sub-points or questions that should be addressed within it relating to the `{key_subtopics_or_areas_list}` where appropriate.
* Identify potential seminal works or types of studies to include (if general knowledge allows).
3. Include a section on 'Synthesis and Identified Research Gaps' that logically follows from the thematic sections.
4. Conclude with a brief Summary section.
5. Ensure a logical flow from foundational concepts to more specific or advanced topics leading towards the research gap your thesis aims to address.
**Example Structure for a Main Section (Illustrative):**
### 2.0 Main Thematic Section Title
2.1 Sub-point: Foundational theories and principles
2.2 Sub-point: Key technologies and historical developments
2.3 Sub-point: Current state-of-the-art and limitations
2.4 Sub-point: Comparative analysis of different approaches
**IMPORTANT:**
- The outline should provide a clear roadmap for writing the literature review.
- Focus on creating a coherent narrative that justifies the research described in the `{thesis_topic_statement}`.
- The detail should be sufficient to guide the student's reading and writing process.
- Best for: PhD students in electrical engineering at the stage of planning or writing their literature review who need a structured outline to guide their research and writing process.
¿la eficacia de la IA a la hora de generar indicaciones depende en gran medida de la calidad de los datos de entrada?
¿también proyectos de ingeniería? Discutámoslo también.
La IA no es una solución mágica.
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