Method for detecting operational abnormalities, method for manufacturing resin containers, device for detecting operational abnormalities, device for manufacturing resin containers, and device for manufacturing resin preforms

Abstract

This invention provides a method for detecting operational abnormalities, a method for manufacturing resin containers, an operational abnormality detection device, a resin container manufacturing apparatus, and a resin preform manufacturing apparatus that allow for easy setting of appropriate thresholds for determining operational abnormalities, thereby reducing the workload. [Solution] The method includes the steps of: acquiring predetermined measured values ​​related to the operation of a movable part and calculating the average value of predetermined information values ​​based on the predetermined measured values ​​as statistical information (S100); calculating a first threshold and a second threshold (S102); acquiring the current measured value and comparing the current information value based on the current measured value with the larger of the first threshold and the second threshold (S108); and issuing a warning if the current information value exceeds at least the larger of the first threshold and the second threshold (S120).

Description

Technical Field

[0001] The present invention relates to an abnormal operation detection method, a method for manufacturing a resin container, an abnormal operation detection device, a resin container manufacturing device, and a resin preform manufacturing device.

Background Art

[0002] Patent Document 1 discloses a blow molding machine for resin containers, which includes at least a blow molding section, a heating section, and a conveyance path for conveying a preform heated in the heating section to the blow molding section. Patent Document 2 discloses a measuring device including an acquisition unit that acquires detection values of sensors provided in an injection molding device, a threshold value generation unit that generates a threshold value for each time point based on past detection values, and a determination unit that obtains an abnormal determination result of the injection molding situation based on the result of comparing the detection value acquired by the acquisition unit with the threshold value generated corresponding to the acquisition time point of the detection value.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, molding methods have been proposed that enable the production of high-quality preforms and containers even with reduced injection molding time, making it possible to perform even higher-speed molding (high-cycle molding) with injection molding and blow molding equipment. Under high-speed molding conditions, the moving parts of the molding machine need to operate even more stably and reliably. If stability is low, the risk of mold and machine damage increases significantly, and if damage occurs, it becomes necessary to stop the machine (production) for a long period of time. In order to determine abnormal operation of the moving parts, it is necessary to set a threshold value on the molding machine side. However, the threshold value may depend on the molded product (molding conditions), and even for skilled workers, setting an appropriate threshold value can be difficult or require a great deal of effort. Furthermore, it is also a problem if the determination of the threshold value becomes too dependent on the individual.

[0005] The present invention aims to provide a method for detecting operational abnormalities, a method for manufacturing resin containers, an operational abnormality detection device, a resin container manufacturing device, and a resin preform manufacturing device that allow for easy setting of appropriate thresholds for determining operational abnormalities and reduce the workload. [Means for solving the problem]

[0006] A method for detecting operational abnormalities according to one aspect of the present invention is: An abnormal operation detection method for detecting abnormal operation of a molding apparatus having a movable part, A step of obtaining predetermined measured values ​​related to the operation of the movable part in the most recent predetermined number of cycles, and calculating the average value of predetermined information values ​​based on the predetermined measured values ​​as statistical information, A step of calculating a first threshold based on the mean value and its standard deviation, and a second threshold based on the mean value and a value obtained by multiplying the mean value by a predetermined percentage, A step of obtaining currently measured values ​​related to the operation of the movable part in the current cycle, and comparing the current information value based on the currently measured values ​​with the larger of the first threshold and the second threshold, The process includes issuing a warning when the current information value exceeds the larger of the first threshold and the second threshold, The first threshold is expressed by the following equation (1): First threshold = Average value of predetermined information values ​​+ m × σ ··· (1) (In the formula, m represents the parameter of the first threshold set in advance, and σ represents the standard deviation of the mean value.) The second threshold is expressed by the following equation (2): Second threshold = Average value of the specified information value + The average value in question × n / 100 ... (2) (In the formula, n represents the parameter (%) of the pre-set second threshold.) This is a method for detecting malfunctions.

[0007] A method for manufacturing a resin container according to one aspect of the present invention is: An injection molding process in which a bottomed resin preform is injection molded, A method for manufacturing a resin container, comprising: a blow molding step, in which a preform molded in the injection molding step is blow-molded to manufacture a resin container, This is a method for manufacturing a resin container, wherein the above-described abnormal operation detection method is implemented in at least one of the injection molding apparatus used in the injection molding process and the blow molding apparatus used in the blow molding process.

[0008] An abnormal operation detection device according to one aspect of the present invention is: An abnormal operation detection device for detecting abnormal operation of a molding apparatus having a movable part, An acquisition unit that acquires actual values ​​related to the operation of the movable part detected by a sensor installed in the molding apparatus, An average value calculation unit calculates the average value of predetermined information values ​​based on predetermined measured values ​​related to the operation of the movable part over the most recent predetermined number of cycles acquired by the acquisition unit, as statistical information. A threshold calculation unit that calculates a first threshold based on the mean value and its standard deviation, and a second threshold based on the mean value and a value obtained by multiplying the mean value by a predetermined percentage, A first comparison unit compares current information values ​​based on currently measured values ​​related to the operation of the movable part in the current cycle, acquired from the acquisition unit, with the larger of the first threshold and the second threshold. Includes a warning unit that issues a warning if the current information value exceeds the larger of the first threshold and the second threshold, based on the output from the first comparison unit. The first threshold is expressed by the following equation (1): First threshold = Average value of predetermined information values ​​+ m × σ ··· (1) (In the formula, m represents the parameter of the first threshold set in advance, and σ represents the standard deviation of the mean value.) The second threshold is expressed by the following equation (2): Second threshold = Average value of the specified information value + The average value in question × n / 100 ... (2) (In the formula, n represents the parameter (%) of the pre-set second threshold.) This is a device for detecting operational abnormalities.

[0009] A manufacturing apparatus for resin containers according to one aspect of the present invention is: An injection molding section for injection molding a resin preform with a bottom, A blow molding section for manufacturing a resin container by blow molding the preform molded in the injection molding section, The above-mentioned malfunction detection device, A manufacturing apparatus for resin containers having, The aforementioned malfunction detection device is a resin container manufacturing apparatus that detects malfunctions in the operation of a movable part in at least one of the injection molding section and the blow molding section.

[0010] A manufacturing apparatus for resin containers according to one aspect of the present invention is: A blow molding section that blow-moldes preforms to manufacture resin containers, The above-mentioned malfunction detection device, This is a manufacturing apparatus for resin containers.

[0011] A manufacturing apparatus for resin preforms according to one aspect of the present invention is: An injection molding section for injection molding a resin preform with a bottom, The above-mentioned malfunction detection device, It is a manufacturing apparatus for a resin preform having

Effects of the Invention

[0012] According to the present invention, it is possible to easily set an appropriate threshold value for determining an abnormal operation, reduce the work load, and provide an abnormal operation detection method, a manufacturing method for a resin container, an abnormal operation detection device, a manufacturing device for a resin container, and a manufacturing device for a resin preform.

Brief Description of the Drawings

[0013] [Figure 1] It is a schematic plan view of a blow molding apparatus. [Figure 2] It is a schematic side view of a blow molding apparatus. [Figure 3] It is a plan view of a conveyance unit. [Figure 4] It is a block diagram of an abnormal operation detection device. [Figure 5] It is a figure showing an example of a state where a display unit displays elements of an operating state of a core mold for injection molding. [Figure 6] It is a figure showing an example of a state where a display unit displays elements of an operating state of an injection neck mold. [Figure 7] It is a figure showing an example of a state where a display unit displays elements of an operating state of a second conveyance member. [Figure 8] It is a figure showing an example of a flow of an abnormal operation detection method. [Figure 9] It is a figure showing another example of a flow of an abnormal operation detection method. [Figure 10] It is a figure showing a second conveyance member in a specific aspect. [Figure 11] It is a figure showing a state where a pitch conversion mechanism provided in a second conveyance member narrows the pitch. [Figure 12] It is a figure showing a state where a pitch conversion mechanism provided in a second conveyance member widens the pitch.

Embodiments for Carrying Out the Invention

[0014] Embodiments of the present invention will be described below with reference to the drawings. Note that the dimensions of the components shown in these drawings may differ from the actual dimensions of the components for the sake of explanation.

[0015] Furthermore, in the description of this embodiment, for the sake of clarity, the terms "left-right direction," "front-back direction," and "up-down direction" will be referred to as appropriate. These directions are relative directions set for the blow molding apparatus shown in Figures 1 and 2. Here, the "up-down direction" includes the "upward direction" and the "downward direction." The "front-back direction" includes the "forward direction" and the "backward direction." The "left-right direction" includes the "leftward direction" and the "rightward direction."

[0016] Figure 1 is a schematic plan view showing the overall appearance of a blow molding apparatus 1 for resin containers according to an embodiment (an example of a manufacturing apparatus for resin containers). Figure 2 is a schematic side view showing the overall appearance of the blow molding apparatus 1 according to an embodiment. The blow molding apparatus 1 includes an injection molding section 100 for molding a resin preform 10, a blow molding section 500 for blow molding the preform 10 to form a container 20, and a transport section 300 for transporting the preform 10 molded in the injection molding section 100 to the blow molding section 500 (Figure 1). The blow molding apparatus 1 is a hot parison type (1.5 stage type) blow molding apparatus that blow molds M preforms at a time in n stages from N preforms 10 that are simultaneously injection molded.

[0017] The blow molding apparatus 1 includes an extraction device 150 for extracting the preform 10 from the injection molding unit 100, a preform transfer device 220 for transferring the preform 10 from the extraction device 150, and a first inversion unit (post-cooling unit) 200 for sending the preform 10 from the preform transfer device 220 to the transport unit 300 (Figure 2). The blow molding apparatus 1 also includes a second inversion unit 400 for sending the preform 10 from the transport unit 300 to the blow molding unit 500 (Figure 2). The blow molding apparatus 1 also includes an operation abnormality detection device 600 and an input / output device 700 (Figures 1 and 2).

[0018] The injection molding unit 100 is configured to simultaneously injection mold M (M=N / n: M is a natural number) preforms 10 in each of n (n is an integer of 2 or more) rows parallel to the left and right directions. The injection molding unit 100 includes an injection device 110 for injecting resin, an injection core mold 120, an injection neck mold (not shown), an injection cavity mold 130, and a clamping mechanism that drives clamping along four tie bars 140. As shown in Figure 1, the number of preforms N simultaneously injection molded in the injection molding unit 100 may be, for example, a maximum of 24 (3 rows × 8 preforms). If the preform diameter is large, there may be an arrangement of 4 preforms in each row, for a total of N=12 preforms in 3 rows.

[0019] The extraction device 150 is configured to extract N preforms 10 molded in the injection molding section 100. The extraction device 150 is configured to allow N (for example, 3 rows x 8) holding members 152 (for example, pots) to move horizontally between a receiving position P1 below the injection core mold 120 and a transfer position P2 outside the space enclosed by the tie bars 140.

[0020] The preform transfer device 220 transfers N preforms 10, held by three rows of holding members 152 of the extraction device 150 at the transfer position P2 shown in Figure 2, to the first reversal unit 200. The preform transfer device 220 includes a preform holder 222, a first transfer mechanism 224 that moves the preform holder 222 up and down, and a second transfer mechanism 226 that moves the preform holder 222 and the first transfer mechanism 224 horizontally in the front-rear direction. For example, an air cylinder or a servo motor can be used as the drive source for the first and second transfer mechanisms 224 and 226.

[0021] The first inversion section 200 is a part for post-cooling (additional cooling) of the preform 10, and is configured to invert the upright preform 10 molded in the injection molding section 100 into an inverted state with the neck facing downwards, and transfer it to the transport section 300. The first inversion section 200 is equipped with a first inversion member 210. The first inversion member 210 has N first inversion pots 212 and N second inversion pots 214 provided opposite the first inversion pots 212. The first inversion pots 212 and the second inversion pots 214 (first inversion member 210) are configured to be able to invert intermittently by 180° around their axis. The first inversion member 210 is configured to be able to move up and down by a ball screw or the like driven by a drive source 216 (e.g., a servo motor).

[0022] The transport unit 300 is configured to transport the preform 10, which has been transported from the injection molding unit 100 via the first reversing unit 200 to the transport unit 300, to the blow molding unit 500. Figure 3 is a plan view showing one embodiment of the transport unit 300. The transport unit 300 comprises a plurality of first transport members 310 configured to support the preform 10. The M first transport members 310 are connected by connecting members to form a set of first transport members 310. The connecting members of a set of first transport members 310 are configured to be driven by a first transport drive unit 320 and a second transport drive unit 330, which will be described later. In Figure 3, the position of the leading first transport member 310 (or preform 10) in a set of first transport members 310 is marked with a double circle to distinguish it from the other seven. Each first transport member 310 is configured to be rotatable around an axis. Note that the first transport members 310 may not be connected. In this case, members that mesh with continuous or intermittent drive members such as sprockets are provided on each first conveying member 310.

[0023] The transport unit 300 is equipped with a loop-shaped transport path made of guide rails and the like, and is configured to transport the first transport member 310 in a circular manner along the transport path. The transport unit 300 is equipped with a first transport drive unit 320 which consists of a plurality of sprockets 320a, 320b, 320c, and 320d that continuously drives the first transport member 310, and a second transport drive unit 330 which consists of sprockets 330a, 330b, and 330c that intermittently drives the first transport member 310. In the first transport drive unit 320, the sprockets are arranged in the order of sprocket 320d, sprocket 320c, sprocket 320b, and sprocket 320a from the upstream side. In the second transport drive unit 330, the sprockets are arranged in the order of sprocket 330a, sprocket 330b, and sprocket 330c from the upstream side.

[0024] The region in which the first conveying member 310 is continuously driven by the first conveying drive unit 320 is the continuous conveying region T1, and the region in which the first conveying member 310 is intermittently driven by the second conveying drive unit 330 is the intermittent conveying region T2. ​​The continuous conveying region T1 is located upstream of the conveying region 300 compared to the intermittent conveying region T2. ​​The continuous conveying region T1 is provided with a heating region 360 that heats the preform 10 to a temperature suitable for blow molding. The heating region 360 is arranged in a path spanning sprockets 320c, 320b, and 320a in the continuous conveying region T1. The heating region 360 can be configured by arranging heating devices, such as quartz heaters and reflectors, in multiple stages in the height direction (up and down direction) and spaced apart in the conveying direction, on both sides of the conveying region 300 in the continuous conveying region T1. Within the heating region 360, a blower may be configured to blow air from the back of the heater.

[0025] Furthermore, the transport unit 300 is located below the first reversing unit 200 and includes a parallel drive device 370 that drives a set of first transport members 310 in parallel, consisting of (n+1) or more (for example, four (four rows)) (Figure 2). The parallel drive device 370 is constructed by attaching both ends of multiple transport rails to two chains 374 stretched across two sprockets 372a and 372b at each of the front and rear ends. When one of the sprockets 372a and 372b is rotated by one step, the transport rail is moved by one step. The leading row of a set of first transport members 310 arranged in the parallel drive device 370 is configured to be pushed to the left by an unloading device (not shown), such as an air cylinder. As a result, the set of first transport members 310 on which the preform 10 is mounted sequentially mesh with the continuously driven sprockets 320d and are transported continuously. The parallel drive unit 370 transports one pair of first transport members 310 to the left, and then transports the other pair of first transport members 310 forward by one step. The last row of the parallel drive unit 370 is configured to receive a pair of first transport members 310 that does not have a preform 10 on it, which is sent from the sprocket 330c.

[0026] The leading first conveying member 310 of a pair of first conveying members 310 in the leading row is discharged by the discharge device and engages with the upstream sprocket 320d, thereby applying continuous conveying force from the sprocket 320d to the pair of first conveying members 310. The driving force applied to each pair of first conveying members 310 that engages with the four continuously driven sprockets 320a, 320b, 320c, and 320d present in the continuous conveying region T1 pushes another pair of first conveying members 310 upstream that are not engaged with the continuously driven sprockets, and multiple pairs of first conveying members 310 are continuously conveyed along the conveying direction of the continuous conveying region T1.

[0027] The second inversion unit 400 is positioned between sprocket 330a and sprocket 330b in the intermittent transport region T2 of the transport unit 300 (Figures 1 and 2). The second inversion unit 400 includes a second inversion member (not shown) that inverts the preform 10, which has been transported by the transport unit 300 to the position of the second inversion unit 400, from an inverted state to an upright state and hands it over to the blow molding unit 500. The second transport drive unit 330 intermittently drives a pair of first transport members 310 so that the pair of first transport members 310 stops for a predetermined time at the position of the second inversion unit 400.

[0028] The blow molding unit 500 is configured to mold a resin container 20 by stretching M preforms 10 with blown air. The blow molding unit 500 includes a blow cavity mold which is a split mold that can be opened and closed in the left and right directions and defines the shape of the body of the container 20, a bottom mold which can be raised and lowered and defines the bottom of the container 20, a second transport member 530 for transporting the preforms 10 in the front and back directions, and a third transport member for transporting the container 20 in the front and back directions. In addition to these, the blow molding unit 500 may also include a stretching rod, a blow core mold, a neck mold, etc. If a stretching rod is included, the resin container 20 is molded by biaxial stretching using blown air and vertical axis drive of the stretching rod.

[0029] The second transport member 530 is a chuck member that grasps the neck portions of M preforms 10 and transports them intermittently. The second transport member 530 has a holding arm that grasps the neck portions of the preforms 10. The second transport member 530 is configured to reciprocate in the front-rear direction in the area of ​​the loading section 534. This reciprocating drive is realized, for example, by a servo motor. Due to this reciprocating drive, in the loading section 534, the second transport member 530 reciprocates between the preform receiving position B1 and the blow molding position B2. In the area of ​​the unloading section 536, a third transport member (not shown) reciprocates between the blow molding position B2 and the removal position B3 in order to transport the container 20 outside the machine. The holding arm is driven to open and close in the left-right direction as a whole by the driving force of, for example, an air cylinder. Furthermore, the row pitch (distance between each preform) in each holding arm of the second transport member 530 of the loading section 534 is configured to be convertible from a narrow pitch at the preform receiving position B1 to a wider pitch at the blow molding position B2 when moving from the preform receiving position B1 to the blow molding position B2.

[0030] The malfunction detection device 600 is a device that detects malfunctions in the movable parts of the blow molding apparatus 1. Malfunctions are likely to occur in the movable parts of the injection molding section 100 and the blow molding section 500, and examples include delays in the mold opening operation (mold release operation) of the injection core mold 120 and injection cavity mold 130 due to lack of grease on the tie bar 140, delays in the transfer operation of the preform from the neck mold to the removal device 150 (mold release operation of the preform, preform drop speed) due to contamination of the neck mold (increase in resin adhesion), and delays in the transport operation due to wear and tear of parts of the second transport member 530, which has a high operating rate. Figure 4 is a block diagram showing the configuration of the malfunction detection device 600 according to this embodiment. The malfunction detection device 600 includes a processor 610, a main memory 630, a storage 650, and an interface 670. The storage 650 stores a program for detecting malfunctions in the blow molding apparatus 1. Examples of storage 650 include Hard Disk Drives (HDDs), Solid State Drives (SSDs), and non-volatile memory. The processor 610 reads the program from the storage 650, loads it into the main memory 630, and executes processing according to the program. The processor 610 also allocates memory space in the main memory 630 or storage 650 according to the program. Upon execution of the program, the processor 610 functions as an acquisition unit 612, an average value calculation unit 614, a threshold calculation unit 616, a first comparison unit 618, a warning unit 620, a reception unit 622, a display command unit 624, and a second comparison unit 626.

[0031] The acquisition unit 612 acquires actual values ​​related to the operation of movable parts detected by sensors installed in the blow molding apparatus 1. In this embodiment, the movable parts include, for example, the injection core mold 120 (injection mold opening / closing part) of the injection molding unit 100, the injection neck mold (preform release part) of the injection molding unit 100, and the second transport member 530 of the blow molding unit 500. The actual value related to the operation of the injection core mold 120 may be the pump pressure of the hydraulic pump that performs the opening and closing operation of the injection molding die (a hydraulic pump that drives the mold clamping mechanism of the injection molding unit 100). The actual value related to the operation of the injection neck mold of the injection molding unit 100 may be the time until the preform 10 released from the injection neck mold is housed in the holding member 152 of the removal device 150. The mold opening stroke of the injection neck mold may be set at a constant interval, and the timing at which the injection neck mold, which is a split mold, opens may be used as the start of measurement of the actual value. The measured values ​​related to the operation of the second transport member 530 of the blow molding unit 500 may be the movement values ​​of the second transport member 530. Taking pitch conversion into account, the movement values ​​of the front end and rear end of the second transport member 530 may also be measured. The measured values ​​acquired by the acquisition unit 612 are stored in the storage 650.

[0032] The average value calculation unit 614 calculates the average value of predetermined information values ​​based on predetermined measured values ​​related to the operation of the movable part in the most recent predetermined number of cycles, acquired from the acquisition unit 612, as statistical information. In detail, the average value calculation unit 614 is configured to perform at least one of the following two processes (1) and (2): (1) Calculate the average value as statistical information by averaging predetermined measured values ​​related to the operation of the movable part of the blow molding apparatus 1 in the most recent predetermined number of cycles, acquired from the acquisition unit 612. (2) Calculate the difference value between the measured value acquired from the acquisition unit 612 and the first set value of the operation of the movable part of the blow molding apparatus 1 measured as said measured value, and calculate the average value as statistical information by averaging predetermined difference values ​​related to the operation of the movable part of the blow molding apparatus 1 in the most recent predetermined number of cycles. The predetermined measured value and predetermined difference value are examples of predetermined information values ​​based on predetermined measured values.

[0033] In this embodiment, the first set value related to the operation of the second transport member 530 may be used as a command value for the servo motor. The first set value may be set at both the front and rear ends of the second transport member 530. The movement value of the front end and the movement value of the rear end of the second transport member 530 may be compared with their respective first set values, and the difference values ​​for each may be calculated. The predetermined number of cycles may be, for example, at least 20 cycles from the viewpoint of statistical processing and from the viewpoint of speeding up the execution of the operation abnormality detection method. The predetermined measured value refers to a plurality of measured values ​​acquired by the acquisition unit 612 during the predetermined number of cycles. The predetermined difference value refers to a plurality of difference values ​​calculated by comparing the plurality of measured values ​​acquired by the acquisition unit 612 during the predetermined number of cycles with the first set value. The difference value calculated by the average value calculation unit 614, the calculated average value, and its standard deviation are stored in the storage 650.

[0034] The threshold calculation unit 616 calculates a first threshold based on the mean value and its standard deviation calculated from predetermined information values ​​(predetermined measured values ​​or predetermined difference values), and a second threshold based on the mean value multiplied by a predetermined percentage. The first threshold is expressed by the following formula (1), and the second threshold is expressed by the following formula (2). First threshold = Average value of predetermined information values ​​+ m × σ ··· (1) (In the formula, m represents the parameter of the first threshold, which is set in advance, and σ represents the standard deviation of the mean value.) Second threshold = Average value of the specified information value + The average value in question × n / 100 ... (2) (In the formula, n represents the parameter (%) of the pre-set second threshold.)

[0035] In equation (1), m is a parameter that can be arbitrarily set in advance in the blow molding apparatus 1 (operation abnormality detection device 600) according to the operation of the movable part. In the operation abnormality detection method of this embodiment described later, m is set to a value of 6.0 or less (for example, 4.5 or 6.0). In equation (2), n is a parameter that can be arbitrarily set in advance in the blow molding apparatus 1 (operation abnormality detection device 600) so that even if the fluctuation range of the measured value when calculating the average value is small and the first threshold is set low, the operation of the blow molding apparatus 1 will not be judged as abnormal due to small fluctuations in the measured value. In the operation abnormality detection method of this embodiment described later, n is set to a value of 15 (%) or less (for example, 10 (%)). The first threshold and the second threshold may be stored in storage 650.

[0036] Furthermore, the threshold calculation unit 616 may be configured to calculate a third threshold value, which is a value obtained by multiplying a second set value related to the operation of the movable part by a predetermined percentage. In this embodiment, the second set value related to the operation of the second transport member 530 may be the instantaneous maximum torque value of the servo motor. In this example, the second set value may be set at both the front and rear ends of the second transport member 530. Also in this embodiment, the second set value related to the opening and closing operation of the injection molding die may be the allowable upper limit of the pump pressure of the hydraulic pump. The third threshold value is a threshold value corresponding to an information value based on the actual value of the movable part that is not measured under normal conditions (the actual value itself or the difference value calculated by comparing the actual value with a predetermined set value), and can be set, for example, to the second set value × a predetermined percentage (for example, 95%). The third threshold value may be stored in the storage 650.

[0037] The first comparison unit 618 compares the current information value, based on the currently measured value related to the operation of the movable part in the current cycle, acquired from the acquisition unit 612, with the larger of the first threshold and the second threshold. In detail, the first comparison unit 618 is configured to perform at least one of the following two processes (1) and (2): (1) Compare the currently measured value related to the operation of the movable part in the current cycle, acquired from the acquisition unit 612, with the larger of the first threshold and the second threshold. (2) Compare the current difference value between the operation of the movable part calculated based on the currently measured value acquired from the acquisition unit 612 and the first set value with the larger of the first threshold and the second threshold. The current difference value may be calculated by the average value calculation unit 614, or it may be calculated by another functional unit. The currently measured value and the current difference value are examples of current information values ​​based on the currently measured value. The second comparison unit 626 compares the current information value with a third threshold. More specifically, the second comparison unit 626 compares at least one of the current measured value and the current difference value with the third threshold.

[0038] The warning unit 620 issues a warning if the current information value exceeds the larger of the first threshold and the second threshold, based on the output from the first comparison unit 618. However, the warning unit 620 may also issue a warning if the current information value exceeds a third threshold, based on the output from the second comparison unit 626.

[0039] The reception unit 622 receives the input of the parameter m for the first threshold from the input unit 720, which will be described later. The reception unit 622 may also receive the input of the parameter n for the second threshold from the input unit 720, which will be described later. Furthermore, when the threshold calculation unit 616 calculates a third threshold, the reception unit 622 may also receive a second set value and a predetermined percentage related to the operation of the movable part for calculating the third threshold. The reception unit 622 may also receive the input of the third threshold itself. In addition to input from operators, the reception unit 622 may also receive the parameter m, parameter n, the first set value, the second set value, a predetermined percentage, or the third threshold by calling fixed values ​​that have been pre-programmed.

[0040] The display command unit 624 causes the display unit 710, which will be described later, to display the larger of the first threshold and the second threshold, the current information value in the current cycle, and the average value. If the second comparison unit 626 outputs that the current information value exceeds the third threshold, the display command unit 624 may cause the display unit 710 to display the third threshold.

[0041] The input / output device 700 comprises a display unit 710 and an input unit 720 (Figure 2). The input unit 720 consists of input devices such as buttons and a keyboard for inputting control instructions for the blow molding apparatus 1. The display unit 710 consists of a display device such as a display for outputting operating information of the blow molding apparatus 1.

[0042] Figure 5 shows an example of how the display unit 710 displays elements of the operating status of the injection core mold 120 of the blow molding apparatus 1. It is an example of a screen for monitoring and detecting abnormalities in the injection mold opening operation of the injection molding unit 100 using the operation abnormality detection device 600 or operation abnormality method described above. Figure 5 shows how, during the operation in which the injection core mold 120 is raised (the operation in which the mold opens relative to the injection cavity mold 130), the maximum value of the hydraulic pump pressure (an example of a measured value) is displayed as "pump peak pressure", the average value of the maximum value of the hydraulic pump pressure over a predetermined cycle (e.g., 20 cycles) is displayed as "pump average peak pressure", the standard deviation of the average value is displayed as "standard deviation", and the larger of the first and second thresholds or the third threshold is displayed as "outlier threshold". In the screen shown in Figure 5, the "Data Acquisition" lamp under "Status" lights up until the average value for a predetermined cycle is calculated, and the "Detection" lamp lights up once the calculation of the average value is complete and measurement of the current measured value begins.

[0043] Figure 6 shows an example of how the display unit 710 displays elements of the operating status of the injection neck mold of the blow molding apparatus 1. It is an example of a screen for monitoring and detecting abnormalities in the preform demolding operation of the injection molding unit 100 using the operation abnormality detection device 600 or operation abnormality method described above. Figure 6 shows that the time from when the injection neck mold, which is a split mold, opens until the preform 10 demolded from the injection neck mold is placed in the holding member 152 of the removal device 150 (an example of an actual measured value) is displayed as "falling speed", the average value of this time over a predetermined cycle (e.g., 20 cycles) is displayed as "average falling speed", the standard deviation of the average value is displayed as "standard deviation", and the larger of the first threshold and the second threshold is displayed as "outlier threshold". In the screen shown in Figure 6, "Data acquisition" and "Detection" under "Status" are the same as in the configuration of Figure 5.

[0044] Figure 7 shows an example of how the display unit 710 displays elements of the operating status of the second transport member 530 of the blow molding unit 500 of the blow molding apparatus 1. It is an example of a screen for monitoring and detecting abnormalities in the transport operation of the preform 10 or container 20 in the blow molding unit 500 using the operation abnormality detection device 600 or operation abnormality method described above. Below the word "Front", Figure 7 shows that the difference between the movement value of the tip (front) of the second transport member 530 (an example of a measured value) and the first set value is displayed as "Peak Delay Error", the average value of this difference over a predetermined cycle is displayed as "Average Peak Delay Error", the standard deviation of this average value is displayed as "Standard Deviation", and the larger of the first threshold and the second threshold is displayed as "Outlier Threshold". Furthermore, Figure 7 shows that below the word "Rear," the difference between the movement value of the rear end (rear) of the second transport member 530 (an example of an actual measured value) and the first set value is displayed as "Peak Delay Error," the average value of this difference over a predetermined cycle is displayed as "Average Peak Delay Error," the standard deviation of this average value is displayed as "Standard Deviation," and the larger of the first and second thresholds is displayed as "Outlier Threshold." In the screen shown in Figure 7, "Data Acquisition" and "Detection" under "Status" are the same as in the configuration shown in Figure 5.

[0045] The following describes a method for manufacturing a resin container using a blow molding apparatus 1 equipped with an abnormal operation detection device 600 according to this embodiment. The method for manufacturing a resin container includes the steps of: injection molding a preform 10 in an injection molding section 100; transporting the preform 10 molded in the injection molding section 100 to a blow molding section 500; heating the preform 10 while it is being transported to the blow molding section 500; and blow molding the transported preform 10 into a container 20 in the blow molding section 500.

[0046] The injection molding process for the preform 10 involves injecting molten resin into the space formed by clamping the injection core mold 120, injection neck mold, and injection cavity mold 130 of the injection molding section 100, thereby molding N preforms (Figure 2).

[0047] The process of transporting the preform 10 molded in the injection molding section 100 to the blow molding section 500 includes a first transport step, a first transfer step, a second transport step, and a second transfer step. The first transport step is the process of removing the preform 10 from the injection molding section 100 with a removal device 150, and then transferring the preform from the removal device 150 to the first inversion section 200 with a preform transfer device 220 (Figure 2). The first transfer step is the process of inverting the preform 10 from an upright state to an inverted state with the first inversion section 200 and handing it over to the transport section 300 (Figure 2).

[0048] The second transport process involves transporting the preform 10 to the second inversion section 400 in the transport section 300 (Figure 1). In the second transport process, a pair of first transport members 310 in the leading row of the parallel drive unit 370 are transported to the left by the discharge device, and the preform 10 is transported to the second inversion section 400 via the continuous transport area T1 and the intermittent transport area T2 (Figures 1 and 2).

[0049] The second transfer step involves the second inversion unit 400 inverting the preform 10 from an inverted state to an upright state and transferring it to the second transport member 530 of the blow molding unit 500 (Figure 2). However, if the heating device of the heating unit 360 has not finished heating up, the preform 10 is not transferred to the blow molding unit 500, and the preform 10 is removed from the first transport member 310 by the sprocket 330c. The first transport member 310, without the preform 10 on it, is sent to the parallel drive unit 370 by the sprocket 330c (Figures 1 and 2).

[0050] The step of heating the preform 10 involves heating the preform 10 to a suitable temperature for blow molding during transport using a heating device in a heating unit 360 provided in the continuous transport area T1 of the transport unit 300.

[0051] The process of blow-molding the preform 10 into the container 20 involves transporting the preform 10 from the preform receiving position B1 to the blow-molding position B2 using a second transport member 530, clamping the blow cavity mold and bottom mold, and blowing air into the preform 10 to form the container 20. The container 20 is manufactured through these processes.

[0052] Figure 8 shows an example of a flow chart for detecting an operational abnormality in the blow molding apparatus 1. The example in Figure 8 shows a manner for detecting an operational abnormality in the injection core mold 120, the injection neck mold, or the second transport member 530. In this example, the flow chart for detecting an operational abnormality in the second transport member 530 from the time the blow molding apparatus 1 starts operation will be explained. First, the acquisition unit 612 acquires the movement value (predetermined measured value) of the second transport member 530 measured by a sensor over a predetermined number of cycles N. The average value calculation unit 614 calculates the difference between the movement value acquired by the acquisition unit 612 and the first set value of the second transport member 530, and calculates the average value of the predetermined number of cycles N of this difference value (information value) as statistical information (step S100). In the case of an injection neck mold, the average value of the predetermined number of cycles N may be calculated as statistical information based on the measured value (information value) of the preform fall time in each cycle. Furthermore, when using an injection core type 120, the average value of a predetermined number of cycles N may be calculated as statistical information based on the measured value (information value) of the maximum pump pressure of the hydraulic pump in each cycle.

[0053] Next, the threshold calculation unit 616 calculates the first threshold and the second threshold according to the above formulas (1) and (2) (step S102). The parameters required for calculating each threshold can be received by the reception unit 622 from those that have been pre-input, or they can be retrieved from those used in past operations and stored in the storage 650. Next, the first comparison unit 618 sets the larger of the first threshold and the second threshold as the set threshold (step S104).

[0054] Next, the acquisition unit 612 acquires the movement value (current measured value) of the second conveying member 530 in the current cycle (step S106). Subsequently, the first comparison unit 618 compares the current difference value (current information value) calculated by the average value calculation unit 614 based on the current measured value with a set threshold (step S108). If, as a result of the comparison in step S108, the current difference value (current information value) is greater than the set threshold (step S108: YES), the warning unit 620 issues a warning (step S120). If, as a result of the comparison in step S108, the current difference value (current information value) is not greater than the set threshold (step S108: NO), the process returns to step S106 (step S110) to acquire the movement value of the second conveying member 530. Here, the average value is updated each time a movement value is measured, and the first threshold and the second threshold are updated accordingly. This flow is repeated until the operation of the blow molding apparatus 1 stops or the warning unit 620 issues a warning.

[0055] Figure 9 shows another example of a flow chart for detecting an abnormal operation of the blow molding apparatus 1. The example in Figure 9 shows a configuration in which a third threshold value is used when detecting an abnormal operation of the injection core mold 120, the injection neck mold, or the second transport member 530. It is preferable to implement the method shown in the flow chart of Figure 9 in conjunction with the method shown in the flow chart of Figure 8. In this example, the flow chart for detecting an abnormal operation of the injection core mold 120 from the time the blow molding apparatus 1 starts operation will be explained. First, the acquisition unit 612 acquires a third threshold value obtained by multiplying the allowable upper limit of the pump pressure of the hydraulic pump involved in the opening and closing operation of the injection molding die by a predetermined percentage (for example, 90% or more, 95% as an example) (step S200). Next, the acquisition unit 612 acquires the maximum value of the pump pressure of the hydraulic pump during the operation in which the injection core mold 120 is raised (mold opening operation) (current measured value (current information value)) (step S202).

[0056] Next, the second comparison unit 626 compares the currently measured value (current information value) with a third threshold (step S204). If, as a result of the comparison in step S204, the maximum value of the pump pressure (current measured value (current information value)) is greater than the third threshold (step S204: YES), the warning unit 620 issues a warning (step S220). If, as a result of the comparison in step S204, the maximum value of the pump pressure (current measured value (current information value)) is not greater than the third threshold (step S204: NO), the process returns to step S202 (step S210) to obtain the maximum value of the pump pressure of the hydraulic pump of the injection core mold 120. This flow is repeated until the operation of the blow molding apparatus 1 stops or the warning unit 620 issues a warning.

[0057] Incidentally, injection blow molding machines such as the 1.5-step system have many moving parts in the injection molding section and blow molding section, which places a heavy burden on the operator in setting thresholds. Although the prior art discloses an invention for an automatic threshold calculation (generation) method, it is insufficient for injection blow molding machines with many moving parts. According to the method disclosed in this disclosure, abnormal operation can be appropriately detected even in injection blow molding machines with many moving parts, and abnormal operation can be detected using the same logic in multiple moving parts. Therefore, the input and output interfaces can be configured similarly, reducing the workload and improving operability and visibility.

[0058] Furthermore, the above-described method for detecting operational abnormalities reduces the workload associated with setting thresholds, while automatically detecting operational abnormalities in the movable parts of various molding machines and warning operators. In contrast, in methods for detecting operational abnormalities in the movable parts of molding machines based on a first threshold derived from the mean and its standard deviation, when data variability is small, the standard deviation becomes small, resulting in a low first threshold, and even slight deviations from the mean are detected as outliers. In the above-described method for detecting operational abnormalities, a second threshold is calculated in addition to the first threshold, and if the second threshold is greater than the first threshold, the operational abnormality of the movable parts of the molding machine is detected based on the second threshold. The second threshold, based on the mean and a predetermined percentage (e.g., 10%) obtained by multiplying the mean by a predetermined percentage, prevents the setting of a strict threshold when data variability is small. This makes it easy to set an appropriate threshold for determining operational abnormalities and reduces the workload.

[0059] Furthermore, according to the above-described abnormal operation detection method, the parameter m of the first threshold may be accepted as input and can be changed as needed, allowing the first threshold to be adjusted according to the molding apparatus. In addition, by displaying the threshold used for comparison, the current information value, and the average value used to calculate the threshold, it becomes easier for the operator to judge the validity of the threshold.

[0060] Furthermore, the above-described abnormal operation detection method can be applied to any of the following operations: the mold opening operation of the injection molding section, the mold release operation of the injection molding section, and the transport operation of the blow molding section, which transports the preform or molded product. In particular, in manufacturing equipment in which the injection molding section and the blow molding section are integrated, it becomes possible to detect abnormal operations for multiple operations using the same logic, thereby improving work efficiency. In addition, by unifying the input and display methods, operability and visibility can be standardized, further improving work efficiency. Moreover, the above-described abnormal operation detection method can be applied to manufacturing equipment for resin containers that do not have an injection molding section but have a blow molding section, and also to manufacturing equipment for resin preforms that have an injection molding section but do not have a blow molding section.

[0061] Furthermore, if information values ​​(actual values ​​or difference values) of movable parts that are not measured under normal conditions are recognized in advance, a third threshold corresponding to those information values ​​(for example, 95% of the second set value) can be set as the upper limit of the threshold for detecting abnormalities in movable parts. By setting an upper limit for the threshold, detection and warning of operational abnormalities in movable parts can be carried out without fail.

[0062] Furthermore, by implementing the above-described abnormal operation detection method when manufacturing resin containers, abnormal operation of the molding machine can be detected appropriately and automatically, thereby avoiding prolonged machine downtime and serious component damage.

[0063] Here, with reference to Figures 10, 11, and 12, a second conveying member 530 of the blow molding section 500 of the blow molding apparatus 1 according to a specific embodiment will be described. Figure 10 is a diagram showing the second conveying member 530 in a specific embodiment. Figure 11 is a diagram showing the pitch conversion mechanism of the second conveying member 530 in a state where the pitch is narrowed. Figure 12 is a diagram showing the pitch conversion mechanism of the second conveying member 530 in a state where the pitch is widened.

[0064] Figure 10 shows how the second transport member 530 of the loading section 534 moves along the guide rail 538 between the preform receiving position B1 and the blow molding position B2. The second transport member 530 includes a holding arm 532 for holding the preform 10 and a pitch conversion mechanism 540 for changing the pitch of the holding arm 532. One holding arm 532 and one pitch conversion mechanism 540 are provided in the left and right directions, and they are configured to transport the preform 10 as a pair. The operation of changing the pitch of the pitch conversion mechanism 540 is performed, for example, by a servo motor. In this case, the servo motor may be positioned to change the pitch of either the left or right pitch conversion mechanism 540, and the other pitch conversion mechanism 540 may be configured to change its pitch in response to the change in the pitch of the other while holding the preform 10.

[0065] Figures 11 and 12 show detailed embodiments of the pitch conversion mechanism 540. The pitch conversion mechanism 540 has multiple mounting sections 542 to which multiple retaining arms 532 are attached. The number of retaining arms 532 and mounting sections 542 may be the same as the number of preforms 10 transported to the blow molding section 500 in one cycle (for example, M=N / n: M is a natural number). Multiple adjacent mounting sections 542 are connected by connecting members 544, which are configured, for example, as a link mechanism. The connecting members 544 are connected to the mounting sections 542 so as to be rotatable about one point of the mounting section 542 as the axis, and adjacent connecting members 544 are connected by inserting bearings into through holes provided in each of them. One of the pair of pitch conversion mechanisms 540 is configured so that the driving force of a servo motor is transmitted to the leading mounting section 542a and the trailing mounting section 542b, respectively.

[0066] Each of the pair of pitch conversion mechanisms 540 includes a stopper mechanism 550. The stopper mechanism 550 is provided on the upper side of the mounting portion 542. Preferably, the stopper mechanism 550 is provided on the end side of the mounting portion 542 where the retaining arm 532 is located. The stopper mechanism 550 includes at least a first guide bar 552a, a second guide bar 552b, and an insertion portion 554 through which the first guide bar 552a and the second guide bar 552b are inserted. The first guide bar 552a is fixed to the leading mounting portion 542a via a first fixing portion 556a. A first locking portion 558a is provided at the end of the first guide bar 552a opposite to the first fixing portion 556a. The second guide bar 552b is fixed to the trailing mounting portion 542b via a second fixing portion 556b. A second locking portion 558b is provided at the end of the second guide bar 552b opposite to the second fixing portion 556b. The insertion portion 554, the first fixing portion 556a, and the second fixing portion 556b are block-shaped members and are fixed in a convex manner to the upper side of the mounting portion 542. In Figures 11 and 12, the insertion portion 554 is provided at the sixth mounting portion 542c from the front. The insertion portion 554 has insertion holes through which the first guide bar 552a and the second guide bar 552b are inserted, respectively. The opening diameter of the insertion hole is such that the first locking portion 558a and the second locking portion 558b cannot pass through the insertion hole. The first guide bar 552a and the second guide bar 552b are formed to a length such that when the holding arm 532 of the loading section 534 expands to a predetermined pitch width at the blow molding position B2, the first locking portion 558a and the second locking portion 558b contact the insertion portion 554.

[0067] In conventional mechanisms that change pitch using only linkage mechanisms, precise positioning of the holding arm 532 is difficult, and in some cases, preform transfer failures occur. Furthermore, when a rack and pinion configuration is used to synchronize the operation of one of a pair of pitch changing mechanisms, the synchronization between the main and secondary mechanisms is not always accurate, which may place a large load on the pinion and linear guide, potentially damaging the high-speed second transport member 530. By adopting the pitch changing mechanism 540 equipped with the above-described specific stopper mechanism 550, precise positioning of the holding arm 532 can be achieved, and stable operation is possible, thereby reducing the load on the components.

[0068] Furthermore, the present invention is not limited to the embodiments described above, and can be freely modified and improved as appropriate. In addition, the material, shape, dimensions, numerical values, form, number, and placement of each component in the embodiments described above are arbitrary and not limited as long as they can achieve the present invention.

[0069] For example, in the above embodiment, a configuration in which various functional units are implemented in the processor of one device was described, but a configuration in which various functional units are implemented distributed across the processors of multiple devices via a local network or the internet is also possible. Furthermore, in the above embodiment, the display unit 710 and the input unit 720 were described in separate configurations, but they may be configured as a single functional unit that can be input and displayed via a touch panel or the like.

[0070] This application is based on a Japanese patent application (Patent Application No. 2020-123154) filed on 17 July 2020, which is incorporated herein by reference in its entirety. All references incorporated herein are incorporated as a whole. [Explanation of Symbols]

[0071] 1: Blow molding apparatus, 10: Preform, 20: Container, 100: Injection molding section, 200: First inversion section, 300: Conveying section, 310: First conveying member, 360: Heating section, 400: Second inversion section, 500: Blow molding section, 600: Operation abnormality detection device, 612: Acquisition section, 614: Average value calculation section, 616: Threshold calculation section, 618: First comparison section, 620: Warning section, 622: Reception section, 624: Display command section, 626: Second comparison section, 700: Input / output device, 710: Display section, 720: Input section

Claims

1. An abnormal operation detection method for detecting abnormal operation of a molding apparatus having a movable part, A step of obtaining predetermined measured values ​​related to the operation of the movable part in the most recent predetermined number of cycles, and calculating the average value of predetermined information values ​​based on the predetermined measured values ​​as statistical information, A step of calculating a first threshold based on the mean value and its standard deviation, and a second threshold based on the mean value and a value obtained by multiplying the mean value by a predetermined percentage, A step of obtaining currently measured values ​​related to the operation of the movable part in the current cycle, and comparing the current information value based on the currently measured values ​​with the larger of the first threshold and the second threshold, A step of issuing a warning when the current information value exceeds the larger of the first threshold and the second threshold, Includes, The first threshold is expressed by the following equation (1): First threshold = Average value of predetermined information values ​​+ m × σ ... (1) (In the formula, m represents the parameter of the first threshold set in advance, and σ represents the standard deviation of the mean value.) The second threshold is expressed by the following equation (2): Second threshold = Average value of predetermined information values ​​+ Average value × n / 100 ... (2) (In the formula, n represents the parameter (%) of the second threshold that is set in advance.) Method for detecting operational abnormalities.

2. The current information value is either the current measured value itself, or the current difference between the current measured value and the set value for the operation of the movable part. The predetermined information value is either the predetermined measured value itself, or a predetermined difference value which is a set value that is calculated by comparing multiple measured values ​​over a predetermined number of cycles with the set value. The method for detecting malfunctions according to claim 1.

3. The method for detecting an operational anomaly according to claim 1 or 2, comprising the step of displaying on a display unit the larger of the first threshold or the second threshold, the current information value in the current cycle, and the average value.

4. The method for detecting an abnormal operation according to any one of claims 1 to 3, wherein the method for detecting an abnormal operation is performed in at least one of the following operations: a mold opening operation for opening the injection mold of an injection molding apparatus; a mold release operation for releasing a molded product from the injection mold of an injection molding apparatus; and a transport operation for transporting a preform or molded product of a blow molding apparatus.

5. The process involves comparing the current information value with a third threshold value corresponding to an information value based on the actual measured value of the movable part, which is not measured under normal conditions. A step of issuing a warning when the current information value exceeds the third threshold, A method for detecting operational abnormalities according to any one of claims 1 to 4, including the method described in any one of claims 1 to 4.

6. An injection molding process in which a bottomed resin preform is injection molded, A method for manufacturing a resin container, comprising: a blow molding step, in which a preform molded in the injection molding step is blow-molded to manufacture a resin container, A method for manufacturing a resin container, comprising implementing the malfunction detection method described in any one of claims 1 to 5 in at least one of the injection molding apparatus used in the injection molding process and the blow molding apparatus used in the blow molding process.

7. An abnormal operation detection device for detecting abnormal operation of a molding apparatus having a movable part, An acquisition unit that acquires actual values ​​related to the operation of the movable part detected by a sensor installed in the molding apparatus, An average value calculation unit calculates the average value of predetermined information values ​​based on predetermined measured values ​​related to the operation of the movable part over the most recent predetermined number of cycles acquired by the acquisition unit, as statistical information. A threshold calculation unit that calculates a first threshold based on the mean value and its standard deviation, and a second threshold based on the mean value and a value obtained by multiplying the mean value by a predetermined percentage, A first comparison unit compares current information values ​​based on currently measured values ​​related to the operation of the movable part in the current cycle, acquired from the acquisition unit, with the larger of the first threshold and the second threshold. Includes a warning unit that issues a warning if the current information value exceeds the larger of the first threshold and the second threshold, based on the output from the first comparison unit. The first threshold is expressed by the following equation (1): First threshold = Average value of predetermined information values ​​+ m × σ ... (1) (In the formula, m represents the parameter of the first threshold set in advance, and σ represents the standard deviation of the mean value.) The second threshold is expressed by the following equation (2): Second threshold = Average value of predetermined information values ​​+ Average value × n / 100 ... (2) (In the formula, n represents the parameter (%) of the second threshold that is set in advance.) An abnormal operation detection device.

8. The current information value is either the current measured value itself, or the current difference between the current measured value and the set value for the operation of the movable part. The predetermined information value is either the predetermined measured value itself, or a predetermined difference value which is a set value that is calculated by comparing multiple measured values ​​over a predetermined number of cycles with the set value. An abnormal operation detection device according to claim 7.

9. An abnormal operation detection device according to claim 7 or 8, comprising a display command unit that causes the display unit to display the larger of the first threshold and the second threshold, the current information value in the current cycle, and the average value.

10. The malfunction detection device according to any one of claims 7 to 9, wherein the movable part is an injection molding core mold for an injection molding machine, a neck mold for an injection molding machine, or a transport member for a blow molding machine.

11. The unit includes a second comparison unit that compares the current information value with a third threshold value corresponding to an information value based on the actual measured value of the movable part, which is not measured under normal conditions. If the current information value exceeds the third threshold, the warning unit will issue a warning. An abnormal operation detection device according to any one of claims 7 to 10.

12. An injection molding section for injection molding a resin preform with a bottom, A blow molding section for manufacturing a resin container by blow molding the preform molded in the injection molding section, An abnormal operation detection device according to any one of claims 7 to 11, A manufacturing apparatus for resin containers having, The aforementioned malfunction detection device is a resin container manufacturing apparatus that detects malfunctions in the operation of a movable part in at least one of the injection molding section and the blow molding section.

13. The apparatus for manufacturing a resin container according to claim 12, comprising a display unit configured to display the larger of the first threshold and the second threshold, the current information value in the current cycle, and the average value.

14. A blow molding section that blow-moldes preforms to manufacture resin containers, An abnormal operation detection device according to any one of claims 7 to 11, A manufacturing apparatus for resin containers, having the following features.

15. An injection molding section for injection molding a resin preform with a bottom, An abnormal operation detection device according to any one of claims 7 to 11, A manufacturing apparatus for resin preforms, having the following features.

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