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Drive your plant's digital transformation with this definitive collection of prompts designed exclusively for engineers and industry 4.0 leaders. This comprehensive resource optimizes each phase of the industrial life cycle, from the conceptual design of robotic cells to the implementation of predictive maintenance protocols using advanced artificial intelligence. Gain a competitive advantage by reducing downtime and maximizing operational precision. Our strategic library allows us to automate the generation of complex technical documentation, perform energy efficiency analyzes with scientific rigor and strengthen the cybersecurity of OT systems. By integrating these prompts into your workflow, you not only speed up production, but also ensure strict compliance with international safety and quality regulations. It is the essential tool for turning raw data into intelligent decisions and high-performance automated processes.
He acts as a Senior IoT Systems Architect with specialization in industrial connectivity and light messaging protocols. Your objective is to design and document a comprehensive technical protocol for sending data using the MQTT (Message Queuing Telemetry Transport) protocol in an advanced manufacturing environment under the context of [Name of Plant or Project]. The system must efficiently integrate a network of [Number and Type of Sensors] that operate under network conditions [Network State: Stable, Unstable, with Latency]. It begins by defining the architecture of the MQTT Broker, selecting between leading solutions such as EMQX, HiveMQ or Mosquitto, technically justifying the choice based on the scalability necessary to handle [Number of Messages per Second]. Details required security configuration, including the use of TLS/SSL certificates for transport layer encryption, strong authentication using [Authentication Method: Design a hierarchical and semantic topic structure that is scalable and follows industry best practices (inspired by ISA-95) using the pattern: `[Empresa]/[Sede]/[Celda_Producción]/[ID_Dispositivo]/[Categoría_Dato]`. It explains in detail how this structure facilitates the management of data flows through the use of Wildcards and how it allows clean integration with SCADA-type supervisory systems or cloud analytics platforms. Provides clear subscription examples for global monitoring versus node-specific monitoring. Specifies the format of the Payload using a strictly typed JSON schema. The schema must include mandatory fields such as a 'timestamp' in UTC ISO 8601 format, 'msg_id' for traceability, 'device_status' and the 'payload' object containing the industrial metrics of [Critical Variables: Pressure, Flow, Electrical Consumption, etc.]. Defines and justifies the Quality of Service levels (QoS 0, 1 or 2) recommended for each type of message, balancing the use of bandwidth with the need to guarantee the delivery of critical alarm data. Finally, develop a resilience strategy in the event of connectivity failures. Defines the 'Last Will and Testament' (LWT) message setting to automatically alert when a sensor unexpectedly loses connection. Establish 'Clean Session' policies and hold message handling to ensure subscribers receive the last known system state upon connection. Propose a 'Store and Forward' mechanism on the Gateway device to avoid loss of telemetry during periods of network maintenance or main broker outages. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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He acts as a Senior IoT Solutions and Industrial Integration Architect with 15 years of experience in smart factory automation. Your objective is to design a complete technical and functional specification for a [Real-Time Data Visualization Dashboard] focused on monitoring a sensor network distributed in [Name of Plant or Production Line]. The system must be able to process constant data streams coming from [Number of Sensors] devices using industrial protocols such as [Protocol: MQTT, OPC UA, Modbus TCP] to guarantee a latency lower than [Milliseconds of Maximum Latency]. The dashboard design must be structured in three critical layers: Ingestion, Processing and Visualization. In the visualization layer, it describes in detail widgets for time series that show variables such as [Critical Variables: Temperature, Pressure, Vibration, Consumption], integrating dynamic zoom functions and historical data overlay for shift comparisons. It is essential to include a real-time KPI calculation module, specifically to measure OEE (Overall Equipment Effectiveness) and MTBF (Mean Time Between Failures), visualized using radial indicators and stacked bar graphs that reflect the state of the assets in the [Subnetwork Name] network. For alert management, develop dynamic threshold logic based on standard deviation or simple anomaly detection algorithms. Alerts should be categorized into 'Informational', 'Warning' and 'Critical', with a resolution workflow requiring the operator to log the root cause in the system. It describes how the interface must adapt to different devices (plant HMI, tablets for supervisors and central control screens), following the design standards of the ISA 101 standard for high-performance interfaces, prioritizing the reduction of visual fatigue through the use of neutral color palettes and chromatic highlighting only for alarm states. Finally, it defines the recommended storage architecture to support this visualization, proposing the use of a time series database such as [Database: InfluxDB, TimescaleDB or Azure Data Explorer]. The prompt must also generate an industrial cybersecurity plan that includes encryption of data in transit (TLS/SSL) and the implementation of a Role-Based Access Control (RBAC) system to limit who can modify sensor thresholds or silence critical alarms in the [Physical or Virtual Location of Servers] environment. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
Act as a Predictive Maintenance Specialist Engineer with Level III certification in Vibration Analysis under the ISO 18436 standard. Your mission is to perform an advanced and exhaustive technical diagnosis on the state of mechanical health of an industrial bearing integrated into a critical asset [Specify asset, e.g.: 500kW induction motor]. The analysis should be based on the interpretation of the frequency spectrum (FFT) data and time domain signal that will be provided to you below, prioritizing early fault detection before an unplanned outage occurs. To perform an accurate diagnosis, you must consider the following fundamental system parameters: the operational speed of the shaft [Ex: 1750 RPM], the technical reference of the bearing under inspection [Ex: SKF 6314-C3] and the data of the calculated characteristic failure frequencies (BPFI, BPFO, BSF, FTF) if available, or proceed to estimate them based on the standard geometry of the component. It is imperative that you analyze the presence of energy peaks at non-synchronous frequencies and the appearance of families of harmonics that suggest progressive deterioration in the rolling elements or raceways. Evaluates the severity of the recorded amplitudes in units of [Ex: mm/s RMS or g's of acceleration] by strictly comparing them with the thresholds established in ISO 10816-3 or ISO 20816. Identify specific patterns such as elevated noise floor, the presence of sidebands around the fault frequencies that indicate modulation, and structural resonance phenomena that may be amplifying the signal. vibratory. Your analysis should clearly differentiate between initial lubrication problems, spalling, mechanical looseness, or installation defects such as misalignment or imbalance. Generate an output technical report that contains: 1) Summary of the current condition of the asset (Category: A-Excellent, B-Satisfactory, C-Alert, D-Unacceptable). 2) Detailed identification of the detected failure mode with justification based on the observed frequencies. 3) Prognosis of the evolution of the failure and estimation of urgency for the intervention. 4) Specific preventive and corrective recommendations, such as optimized lubrication protocols, interference fit verification, or immediate component replacement in the next maintenance window. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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Based on 5 reviews
I didn't expect them to be this complete. They work just as well in ChatGPT and Claude. I'll buy again without hesitation.
I didn't expect them to be this complete. The prompts are really well thought out and the effort shows. One hundred percent recommended.
Happy with the purchase. The prompts are useful and practical. Good option.
Exactly what I was looking for. They work just as well in ChatGPT and Claude. I'll buy again without hesitation.
It does the job, though I expected a bit more. They work as a starting point. Could be better but useful.