Operation abnormality detection method, method for manufacturing resin container, operation abnormality detection device, device for manufacturing resin container, and device for manufacturing resin preform

A manufacturing apparatus of a resin container, comprising:

• an injection molding part configured to injection-mold a resin preform;
• a blow molding part configured to manufacture a resin container by blow-molding the preform molded in the injection molding part;
• and
• an operation abnormality detection device configured to detect an operation abnormality of a molding apparatus comprising a movable part, the operation abnormality detection device comprising a processor configured to:
• acquire actual measured values detected by a sensor arranged in the molding apparatus and relating to an operation of the movable part;
• calculate, as statistical information, an average value of prescribed information values based on prescribed actual measured values and relating to an operation of the movable part in a recent prescribed cycle number;
• calculate a first threshold value based on the average value and a standard deviation thereof and a second threshold value based on the average value and a value obtained by multiplying the average value by a prescribed ratio;
• determine a greater one of the first threshold value and the second threshold value and compare a current information value based on a current actual measured value and relating to an operation of the movable part in a current cycle with the greater one of the first threshold value and the second threshold value;
• and
• issue a warning when the current information value exceeds the greater one of the first threshold value and the second threshold value,
• wherein the first threshold value is represented by a following equation (1), the first threshold value=the average value of the prescribed information values+m×σ . . . (1),
• in the equation, m represents a parameter of the first threshold value set in advance, and a represents a standard deviation of the average value, and
• wherein the second threshold value is represented by a following equation (2), the second threshold value=the average value of the prescribed information values+the average value×n/100 . . . (2),
• in the equation, n represents a parameter (%) of the second threshold value set in advance, and
• wherein the operation abnormality detection device is configured to detect an operation abnormality of the movable part in at least one of the injection molding part and the blow molding part.