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Automatic micro-stop detection is the technical prerequisite for any serious program to reduce invisible production losses. Without exhaustive timestamped capture, no Pareto analysis is credible, no gain is measurable, and no project can be prioritized on numbers rather than intuition. This article is the technical guide to detection \u2014 sensor technology choice, threshold parameterization, false-positive and false-negative management, routine calibration.<\/p>\n
It is written for methods engineers, instrumentation leads, Industry 4.0 project managers, and automation technicians who must specify, commission, and operate a micro-stop detection instrumentation. It assumes a basic familiarity with OEE concepts and the production-time hierarchy of the canonical OEE framework.<\/p>\n
The choice between direct PLC integration and wireless external sensors is the structuring technical decision of a micro-stop detection project. Both approaches are valid \u2014 relevance depends on the industrial context.<\/p>\n
PLC integration via OPC-UA, Modbus, or proprietary protocol offers absolute precision: the PLC knows exactly when the machine is running and when it is stopped. The machine bit is the reference truth for that piece of equipment. Limitations are operational: PLC access locked by IT\/OT, mandatory change control in pharma and food validated environments (typically six to twelve weeks of validation), frequent incompatibility with older PLCs (pre-2010) that lack standard network interfaces, and the need to adapt PLC code on certain architectures. Hidden integration cost in engineering hours is high.<\/p>\n
External wireless sensors \u2014 vibration, current, optical, accelerometer \u2014 mount on the equipment surface with no PLC intervention, no code change, no change control, and no IT validation. Typical installation time is fifteen to thirty minutes per machine; total commissioning time on a five-station line is a half-day. Detection precision reaches two to five seconds depending on configuration, sufficient to capture 99 % of micro-stops. It is the approach with the best deployment-speed-to-precision ratio in 2026 on most industrial sites.<\/p>\n
The case where PLC integration remains preferable is strict pharma manufacturing with ALCOA+ requirements, where the source data must come directly from the validated equipment. In all other cases \u2014 automotive, general food, aerospace, chemistry, metallurgy, mechanical engineering \u2014 external sensors are faster and equally exploitable.<\/p>\n
Sensor type selection depends on the physical signature of the machine state to be detected. Three families cover most industrial cases encountered on the field.<\/p>\n
The current sensor<\/strong> measures the electrical current consumed by the machine via a clamp on the power supply. When the machine produces, current exceeds a threshold; when it stops, current drops below a low threshold. It is the most robust technology for equipment with stable electrical signatures: CNC machine tools, presses, motorized assembly lines. The typical false positive is the warm-up phase or auxiliary load (ventilation, hydraulics) that may maintain non-zero current while the machine is not producing \u2014 the low threshold must be calibrated above this residual current.<\/p>\n The vibration or accelerometer sensor<\/strong> detects the machine’s vibratory signature when running. When the machine produces, the accelerometer sees a characteristic vibration amplitude; when stopped, amplitude drops to a residual ambient level. It is the most versatile technology for rotating equipment: conveyors, mills, mixers, bottling lines. The typical false positive is external vibration transmitted through the floor or from neighboring machines \u2014 calibration consists of filtering out ambient noise.<\/p>\n The optical sensor<\/strong> detects piece or cycle passage via an infrared beam or photoelectric sensor. When pieces pass at regular cadence, the sensor counts; when flow stops, the counter stalls and a stop is detected after a delay expires. It is the most precise technology for packaging and wrapping lines where the product flow is directly measurable. The typical false positive is the extended pause between lots that can be interpreted as a stop \u2014 operator qualification resolves this case.<\/p>\n On most lines, two complementary sensors (typically current + optical, or vibration + optical) give coverage above 99 % of machine states, with robustness to individual sensor failures.<\/p>\n Instant download. No email confirmation needed.<\/p>\n \n Free download<\/h3>\n