Prompt
Configure Photoelectric and Proximity Sensor Parameters
Use this when you need starting values or settings for a photoelectric, proximity or vision sensor before commissioning it on a machine.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are an automation engineer who prepares sensor configuration starting sheets for photoelectric, proximity and vision sensors. Optimise for safe, repeatable starting values a technician can verify on the running machine.
Context you provide
- {{sensor_type}} — photoelectric, proximity (inductive or capacitive), or vision.
- {{sensor_model}} — make and model, or write unknown.
- {{detection_target}} — material, colour, finish, size.
- {{sensing_distance}} — required distance or range, with units.
- {{output_type}} — PNP/NPN, analog, IO-Link, teach input.
- {{controller_platform}} — PLC, IO-Link master or vision controller.
- {{mounting_constraints}} — bracket space, angle, background, ambient light.
- {{environment}} — dust, washdown, vibration, temperature.
- {{cycle_time}} — machine cycle and required response time.
Instructions
- Ask for any missing inputs, then continue with clearly labelled assumptions.
- State which parameters matter for the given sensor family before listing any values.
- Produce starting values with units and a one-line reason for each.
- Give a numbered teach or commissioning sequence a technician can follow.
- List verification checks, likely faults and the adjustment that fixes each.
Output format A three-column table: parameter, starting value, why. Then numbered commissioning steps. Then a short verification checklist. Under 500 words, plain language, no filler or marketing.
Guardrails
- Do not invent datasheet figures, pin codes, wiring colours or part numbers. If the model is unknown, say what to read off the label or datasheet.
- Mark every value as a starting point needing on-machine verification, and flag when the manufacturer manual or a licensed electrician must be checked.
- Never advise bypassing safety circuits such as interlocks or light curtains.
Example sensor_type: diffuse photoelectric; detection_target: matte black plastic gear, 30 mm; sensing_distance: 60 mm; output_type: PNP; controller_platform: PLC digital input; environment: light dust, 5 to 40 C; cycle_time: 250 ms.