JP7229018B2 - Unsoundness prediction device, unsoundness prediction method, program, and computer-readable recording medium - Google Patents

Description

The present invention relates to an unsoundness prediction device, an unsoundness prediction method, a program, and a computer-readable recording medium for predicting the occurrence of unsoundness in a bag processing system.

When an unsoundness (i.e. anomaly) occurs in a bag processing system, the machine is usually stopped based on the information of where the unsoundness occurred, and the user (including operators and managers) The occurrence of an unsoundness is notified at the time (see Patent Literature 1).

WO2003/025862

The conventional bag processing system can identify the location where the unsoundness occurs, but cannot necessarily identify the specific cause of the occurrence of the unsoundness. In addition, the conventional bag processing system objectively judges, for example, whether or not the unsoundness that actually occurred suddenly occurred, and whether or not there is a high probability that similar unsoundness will occur in the future. Can not do it. In addition, the conventional bag processing system cannot clearly identify the causal relationship between the actual unwholesomeness and each of the environmental conditions and system operating conditions, and based on the user's knowledge and experience. The cause of the unsoundness was speculated. In particular, it is often the case that on-site users cannot properly determine the cause of failure of a bag processing system that has a complicated mechanism, and ultimately they have to rely on the person in charge of the bag processing system manufacturer. Since the person in charge of the manufacturer is usually not stationed at the site, it may take a considerable amount of time from the occurrence of the unsoundness until the person in charge of the machine manufacturer actually confirms the unsound part. . In this case, it may be difficult to accurately identify the unhealthy factor.

In order to prevent unsoundness from occurring and to stably operate the bag processing system, it is preferable to perform maintenance inspections and replace consumables in a timely manner to prevent malfunction of the system. However, depending on the environment and operating conditions of the bag processing system, malfunctions and deterioration of consumables may occur sooner or later than expected. Conventional bag processing systems cannot objectively recognize such deviations in the timing of occurrence of malfunctions and deviations in the state of deterioration of consumables. The timing of maintenance and replacement of consumables were adjusted.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a technique for predicting the occurrence of unsoundness in a bag processing system based on objectively obtained information.

One aspect of the present invention is an unsoundness prediction device for foreseeing the occurrence of unsoundness in a bag processing system that processes bags, wherein predictive input information indicating past unsoundness of the bag processing system includes: an unsoundness prediction information acquisition unit that acquires unsoundness prediction information indicating the probability of occurrence of future unsoundness in the bag processing system based on the unsoundness prediction information; If the foresight information indicates, a plurality of historical condition detection parameters obtained while the bag processing system was in a normal operating state and a transition operation during which the bag processing system transitioned from a normal operating state to an unhealthy operating state. Compare with multiple state detection parameters obtained in the past while in the state or unsound operation state, and select normal operation state and transitional operation state or unsound operation from the multiple state detection parameters. an unsoundness parameter detection unit that finds an unsoundness parameter that exhibits a larger difference than a first reference difference with the state; and a state detection parameter that continuously acquires one or more state detection parameters including the unsoundness parameter. unsoundness parameters continuously obtained by the acquisition unit, state detection parameter acquisition unit, and past unsoundnesses obtained while the bag processing system is in a transitional operating state or an unhealthy operating state; an unsoundness parameter monitoring unit for monitoring whether the unsoundness parameter difference, which is the difference between the unsoundness parameter and the second reference difference, is smaller than the second reference difference; The present invention relates to an unsoundness predicting device, comprising: a notification unit that notifies a user of at least one of information on an unsoundness parameter and information on unsoundness when detected by an unsoundness parameter monitoring unit.

The unhealthiness includes consumable unhealthiness included in the bag processing system, the predictive input information includes information about the consumables and information about past consumable unhealthiness, and the predictive unhealthiness information includes: It may also include information indicating the probability of future consumable unhealthy occurrences obtained based on the information on the consumable and the information on the past unhealthy of the consumable.

The unhealthy includes malfunctions of the bag handling system, the predictive input information includes information about past malfunctions, and the unhealthy predictive information is future malfunctions derived based on information about past malfunctions. may include information indicating the probability of occurrence of

The unsoundness prediction device provides information on unsoundness color information indicating the color of the consumables when the consumables were unsound in the past, and the unsoundness of the consumables after the consumables were installed in the bag processing system in the past. Unsoundness occurrence operating time information indicating the operating time of the bag processing system until the occurrence of unsoundness, consumables unsoundness information acquisition unit for acquiring unsoundness information, and real-time environment indicating the current environment in which the bag processing system is placed information, real-time color information indicating the current color of the consumable, and real-time uptime information indicating how long the bag processing system has been running since the consumable was installed in the bag processing system to the present. Based on at least one of the real-time consumables status acquisition unit, the comparison result of the real-time color information and the unsoundness color information, and the comparison result of the real-time operating time information and the unhealthy occurrence operating time information, At least one of deterioration reference information indicating the degree of deterioration of the consumables and replacement prediction timing reference information indicating the next replacement time of the consumables is derived, and is derived based on the real-time environmental information and the deterioration reference information. At least one of: corrected deterioration information indicating the degree of deterioration of the consumables; and corrected replacement prediction time information indicating the prediction time of the next replacement of the consumables derived based on the real-time environmental information and replacement prediction time reference information. a deterioration state derivation unit that obtains one of them, and the notification unit may notify the user of at least one of the corrected deterioration information and the corrected replacement prediction time information.

Consumables may be rubber or resin parts.

Consumables may be parts that are energized.

The unsoundness prediction device collects unsoundness machine sound information indicating the mechanical sound of the bag processing system at the time of the past malfunction, and the malfunction since the maintenance inspection was performed to normalize the machine sound in the past. Machine unsoundness information acquisition unit for acquiring unsoundness occurrence maintenance inspection period information indicating the period until occurrence, real-time environmental information indicating the current environment in which the bag processing system is placed, and bag processing system Real-time machine sound information indicating the current machine sound of the machine and real-time maintenance and inspection period information indicating the period from the last maintenance check to normalize the machine sound to the present are continuously acquired in real time. Based on at least one of the comparison result of the machine state acquisition unit, the real-time machine sound information and the unsound machine sound information, and the comparison result of the real-time maintenance inspection period information and the unsoundness occurrence maintenance inspection period information and derives maintenance and inspection prediction timing reference information indicating the prediction timing of the next maintenance and inspection to normalize the machine sound, and normalizes the machine sound derived based on the real-time environmental information and the maintenance and inspection prediction timing reference information. a maintenance and inspection prediction timing deriving unit for obtaining corrected maintenance and inspection prediction timing information indicating the next maintenance and inspection prediction timing, and the reporting unit may notify the user of the corrected maintenance and inspection prediction timing information.

The unsoundness prediction device provides unsoundness load information that indicates the load on the motor of the bag processing system when malfunction occurred in the past, and information on the load on the motor after maintenance and inspection to reduce the load on the motor in the past. A machine unsoundness information acquisition unit that acquires unsoundness occurrence maintenance and inspection period information indicating the period until the occurrence of a malfunction, real-time environmental information that indicates the current environment in which the bag processing system is placed, and motor real-time load information indicating the current load of the motor, and real-time maintenance and inspection period information indicating the period from the last maintenance inspection to reduce the motor load to the present, are continuously acquired. Based on at least one of the acquisition unit, a comparison result of the real-time load information and the unsoundness load information, and a comparison result of the real-time maintenance inspection period information and the unsoundness occurrence maintenance inspection period information, Derives maintenance and inspection prediction timing reference information indicating the prediction timing of the next maintenance and inspection for reducing the load, and reduces the load of the motor derived based on the real-time environmental information and the maintenance and inspection prediction timing reference information. a maintenance and inspection prediction timing derivation unit for obtaining corrected maintenance and inspection prediction timing information indicating the predicted maintenance and inspection timing, and the reporting unit may notify the user of the corrected maintenance and inspection prediction timing information.

Another aspect of the present invention is an unsoundness prediction method for predicting the occurrence of unsoundness in a bag processing system, comprising: obtaining unwholesome forecast information indicative of the likelihood of future unwholesome occurrences in the bag processing system; A number of historical condition detection parameters obtained while the bag handling system was in a normal operating state and a transition operating state or unhealthy operating state where the bag processing system transitioned from a normal operating state to an unhealthy operating state. Compare with a plurality of past state detection parameters obtained while the continuously acquiring one or more condition detection parameters including the unsoundness parameter; continuously acquiring the unsoundness parameter; and bag processing whether the unhealthy parameter difference, which is the difference between the past unhealthy parameters obtained while the system was in the transitional operating state or the unhealthy operating state, is less than the second criterion difference; and notifying a user of information about the unsoundness parameter and/or information about the unsoundness when the unsoundness parameter difference is detected to be less than the second reference difference. and a method for predicting unhealthy conditions.

Another aspect of the present invention provides a computer with an unsoundness prediction that indicates the probability of occurrence of future unsoundness of the bag processing system based on prediction input information that indicates information regarding past unsoundness of the bag processing system. Procedures for obtaining information and, where predictive unwholesomeness information indicates a high probability based on unwholesomeness criteria, past conditions obtained while the bag processing system was in normal operation. The detection parameters are compared to a plurality of past condition detection parameters obtained while the bag processing system was in a transitional operating state transitioning from a normal operating state to an unhealthy operating state or in an unhealthy operating state. a procedure for finding an unsound parameter showing a difference greater than a first reference difference between a normal operating state and a transition operating state or an unsound operating state from among a plurality of state detection parameters; continuously obtained unhealthy parameters and obtained while the bag processing system is in a transitional operating state or an unhealthy operating state; a procedure for monitoring whether the unsoundness parameter difference, which is the difference between the past unsoundness parameter obtained and the past unsoundness parameter, is less than a second reference difference; and a procedure for notifying a user of at least one of information about unsoundness parameters and information about unsoundness when such is detected.

Another aspect of the present invention relates to a computer-readable recording medium recording the above program.

According to the present invention, there is provided a technique for predicting the occurrence of unsoundness in a bag processing system based on objectively obtained information.

FIG. 1 is a side view showing a typical example of a bag. FIG. 2 is a block diagram showing an example of a bag processor. FIG. 3 is a functional block diagram of a bag processing system including an unsoundness predictor. FIG. 4 is a conceptual diagram showing a configuration example of a bag processing system. FIG. 5 is a conceptual diagram showing a functional configuration example of the unsoundness prediction device. FIG. 6 shows Table 1-1 illustrating preview input information (input information). FIG. 7 shows Tables 1-2 illustrating preview input information (input information). FIG. 8 shows Tables 1-3 illustrating preview input information (input information). FIG. 9 shows Table 2 illustrating unsoundness detection information (output information) obtained by the unsoundness prediction device. FIG. 10 is a functional block diagram of an unsoundness prediction information acquisition unit. FIG. 11 is a functional block diagram of an unsoundness parameter detector. FIG. 12 is a functional block diagram of a state detection parameter acquisition unit. FIG. 13 is a functional block diagram of an unsoundness parameter monitor. FIG. 14 is a functional block diagram illustrating an example of an unsoundness prediction information acquisition unit. FIG. 15 is a functional block diagram showing another example of the unsoundness prediction information acquisition unit. FIG. 16 is a functional block diagram of a consumables unsoundness information acquisition unit. FIG. 17 is a functional block diagram of a real-time consumables status acquisition unit. FIG. 18 is a functional block diagram of a deterioration state derivation unit. FIG. 19 is a functional block diagram of a machine unsoundness information acquisition unit. FIG. 20 is a functional block diagram of a real-time machine condition acquisition unit. FIG. 21 is a functional block diagram of a maintenance inspection prediction timing derivation unit. FIG. 22 is a functional block diagram of a machine unsoundness information acquisition unit. FIG. 23 is a functional block diagram of a real-time machine condition acquisition unit. FIG. 24 is a functional block diagram of a maintenance inspection prediction timing derivation unit.

Various aspects of the present invention are illustrated below with reference to the drawings. In the following description, bag processing can include processing using bags in general. A packaging process that includes is an exemplary variation of a bag process. Also, unsoundness means that soundness is impaired, and is a state that deviates from a normal state (that is, an abnormal state in a broad sense). For example, if an abnormality occurs in a bag processing system (including a bag processing machine (e.g., packaging machine)) and the bag processing system is in an inoperable state (that is, in a stopped state), the bag processing system becomes unsound. It can be said that In addition, if the bag processing system (including the bag processing machine) is in a state where it can be operated, but there is an abnormality in bag processing , when both bags with normal bag processing and bags with abnormal bag processing are included, and when bag processing deviates relatively far from ideal accuracy but is within acceptable accuracy. ), it can be said that unsoundness has arisen in the bag processing system. If the machines provided in the bag processing system are in poor condition and occasional bag processing mistakes occur, it can be said that the bag processing system is unsound.

[First mode]
FIG. 1 is a side view showing a typical example of bag B. FIG. The illustrated bag B has a mouth portion Bm, a bottom portion Bb facing the mouth portion Bm, and side portions Bs extending between the mouth portion Bm and the bottom portion Bb. In the bag processing machine, the contents (that is, the filling material) C are introduced into the inside of the bag B through the open mouth Bm. is sealed to Thus, the seal portion Sb is configured by the mouth portion Bm. The content C is not limited, and may be, for example, liquid and/or solid, food or daily necessities.

FIG. 2 is a block diagram showing an example of the bag processor 10. As shown in FIG. The bag processing machine 10, which constitutes a part of the bag processing system 5, includes a bag loading unit 11, a content input unit 12, a seal processing unit 13, a bag unloading unit 14, and a packaging control unit 15. to seal the opening Bm of the bag B. Specifically, the bag B (empty bag) with the mouth portion Bm opened and the contents C not loaded inside is transported from the front stage portion 16 (for example, a magazine storing a large number of bags B) to the bag carrying-in portion. 11. The bag B is sent from the bag loading section 11 to the content input section 12, and the content C is input by the content input section 12. - 特許庁After that, the bag B is sent from the contents charging section 12 to the sealing processing section 13, and the sealing processing section 13 seals the opening Bm. Then, the bag B (product bag) is sent from the seal processing section 13 to the bag unloading section 14 and then unloaded from the bag unloading section 14 to the rear section 17 . Typically, the bag B is passed from the pre-stage section 16 to a gripper (not shown) of the bag processing machine 10, and while being conveyed by the gripper, the bag loading section 11, contents loading section 12, seal processing section 13, and bag unloading section 11 are conveyed by the gripper. After sequentially visiting a plurality of processing stations assigned to the section 14 , it is sent to the post-stage section 17 .

The bag loading section 11, the content loading section 12, the sealing processing section 13, the bag unloading section 14, and other elements that make up the bag processing machine 10 are under the control of or controlled by the packaging control section 15. It works without The packaging control section 15 controls the elements constituting the bag processing machine 10 based on the detection information input from the state detection sensor 21 and the storage information input from the storage section 22 .

FIG. 3 is a functional block diagram of the bag processing system 5 including the unsoundness prediction device 20. As shown in FIG. An unsoundness prediction device 20 for predicting the occurrence of unsoundness in the bag processing system 5 is connected to the state detection sensor 21 and the storage unit 22 . The state detection sensor 21 detects various types of information, and outputs a state detection parameter D1 indicating the detection result itself and/or a state detection parameter D1 derived from the detection result to the unsoundness prediction device 20, the packaging control unit 15, and the storage unit 22. provide to The storage unit 22 provides the unsoundness prediction device 20 with various types of information stored by itself as storage information D2. Note that the storage unit 22 stores various data. The storage unit 22 can store, for example, the state detection parameter D1 from the state detection sensor 21, the unsoundness detection information D3 from the unsoundness prediction device 20, data input by the user, and other data. .

The unsoundness prediction device 20 predicts unsoundness in the bag processing system 5 (including the bag processing machine 10) based on the state detection parameter D1 from the state detection sensor 21 and/or the stored information D2 from the storage unit 22. foresee the occurrence of Note that the unsoundness prediction device 20 may be connected to an information providing device other than the state detection sensor 21 and the storage unit 22 . The unsoundness prediction device 20 may predict the occurrence of unsoundness based on various information obtained from such an information providing device in addition to or instead of the above-described state detection parameters D1 and/or D2. .

The unsoundness prediction device 20 stores the unsoundness detection information D3 indicating the prediction result itself of the occurrence of unsoundness in the bag processing system 5 and/or the unsoundness detection information D3 derived from the prediction result in the storage unit 22. , or may be provided to the packaging control unit 15. The packaging control unit 15 performs bag processing based on the unsoundness detection information D3 from the unsoundness prediction device 20 and/or the storage information D2 from the storage unit 22 in addition to the state detection parameter D1 from the state detection sensor 21. Each component of machine 10 may be controlled to optimize the processing of bag processor 10 .

FIG. 4 is a conceptual diagram showing a configuration example of the bag processing system 5. As shown in FIG. The bag processing system 5 shown in FIG. 4 includes a bag processing machine 10 and a control panel 25 mounted on a frame 26. As shown in FIG. The control panel 25 includes an input/output interface 24 , a display section 27 , an operation section 28 , an alarm section 29 and a processing control section 30 . The display unit 27 , operation unit 28 and alarm unit 29 operate under the control of the processing control unit 30 . In addition, data (including commands) are transmitted and received between the processing control unit 30 and an external device via the input/output interface 24 as necessary.

Various information of the bag processing system 5 is displayed on the display unit 27, and the user 100 can check the state of the bag processing system 5 and other states by confirming the various information displayed on the display unit 27. can be done. The operating unit 28 includes levers, buttons, touch panels, and/or other operating means operated by the user 100 . Information input by the user 100 via the operation unit 28 is sent to the processing control unit 30 . The alarm unit 29 issues an alarm sound and/or other alarms as necessary to call the attention of the user 100 . Note that when issuing an alarm based on display, such an alarm may be displayed on the display unit 27 . The processing control unit 30 receives various data, processes the data, and outputs various data. The processing control unit 30 may include, for example, an arithmetic processing unit (for example, CPU: Central Processing Unit), memory, and other necessary devices.

A part or all of the unsoundness prediction device 20, the state detection sensor 21, the storage unit 22 and the packaging control unit 15 shown in FIG. 3 may be configured by the control panel 25 shown in FIG. For example, the unsoundness prediction device 20 (for example, an unsoundness prediction information acquisition unit 31, an unsoundness parameter detection unit 32, a state detection parameter acquisition unit 33, and an unsoundness parameter monitoring unit 34 shown in FIG. 5 described later) It may be configured by the processing control unit 30 . Further, the unsoundness prediction device 20 (for example, the notification unit 35 shown in FIG. 5 described later) may be configured by the display unit 27 and/or the alarm unit 29 .

FIG. 5 is a conceptual diagram showing a functional configuration example of the unsoundness prediction device 20. As shown in FIG. The unsoundness prediction device 20 of this embodiment includes an unsoundness prediction information acquisition unit 31 , an unsoundness parameter detection unit 32 , a state detection parameter acquisition unit 33 , an unsoundness parameter monitoring unit 34 and a notification unit 35 . Each of the unsoundness prediction information acquisition unit 31, the unsoundness parameter detection unit 32, the state detection parameter acquisition unit 33, the unsoundness parameter monitoring unit 34, and the notification unit 35 may be configured by a single device. However, it may be configured by combining a plurality of devices. Two or more of the unsoundness prediction information acquiring unit 31, the unsoundness parameter detecting unit 32, the state detection parameter acquiring unit 33, the unsoundness parameter monitoring unit 34, and the reporting unit 35 are at least partially common devices. may be configured by

FIG. 6 shows Table 1-1 illustrating preview input information D4 (input information). FIG. 7 shows Table 1-2 illustrating preview input information D4. FIG. 8 shows Tables 1-3 illustrating preview input information D4. FIG. 9 shows Table 2 exemplifying the unsoundness detection information D3 (output information) obtained by the unsoundness prediction device 20 .

The specification information (see "1" in Table 1-1) of the bag processing system shown in Table 1-1 (see FIG. 6) indicates information on the specifications of each element that constitutes the bag processing system 5. For example, Table 1 -1 can include layer 3 information (see “1-a” to “1-p”). For example, among the specification information, the information on the index allocation angle includes the information on the allocation angle (index angle) of the driving system such as the motor provided in the bag processing machine 10 . For example, in a drive system that intermittently rotates a rotary table, an angle of 360 degrees is assigned to the time interval between the first intermittent rotation start timing and the second intermittent rotation start timing. If processing of bags conveyed as the rotary table rotates is permitted only within a predetermined angular range (for example, 30 to 180 degrees), this predetermined angular range can be represented by information relating to indexing angles. The information on the table diameter in the specification information is the diameter of the rotary table provided in the bag processing machine 10 . The information regarding the expected power consumption during operation of the bag processor among the specification information is not limited in expression format, and is typically represented by the power consumption of the bag processor 10 per unit time. It can be expressed in terms of power consumption of the bag processor 10 per hour or per minute as desired. The information regarding the amount of compressed air that is expected to be consumed during operation of the bag processing machine, which is part of the specification information, is not limited in expression format, and is typically represented by the amount of compressed air consumed per unit time in the bag processing machine 10. can be expressed, for example, in terms of compressed air consumption in the bag processor 10 per hour or per minute, depending on the user's wishes. In addition, the information on the machine life in the specification information includes information on the life of the entire bag processing machine 10 and/or the individual parts that make up the bag processing machine 10, such as information on the service life of the motor that drives the rotary table. can include

The adjustment information shown in Table 1-1 (see "2" in Table 1-1) shows information related to the adjustment of each element that configures the bag processing system 5. For example, the level 3 information shown in Table 1-1 ( "2-a" to "2-e").

The maintenance and inspection information shown in Table 1-1 (see "3" in Table 1-1) shows information related to maintenance and inspection of each element that configures the bag processing system 5. For example, information (see "3-a" through "3-e"). Among the maintenance and inspection information, the information related to the production preparation information for the next day is, for example, information indicating the mounting locations of the cleaning parts in the bag processing machine 10 when the bag processing system 5 is used to produce the same product the next day. and may include information indicating where to adjust and/or replace parts in the bag processing machine 10 if the bag processing system 5 is used to produce a different product the next day.

The consumables information shown in Table 1-1 (see "4" in Table 1-1) shows information related to maintenance and inspection of each element that configures the bag processing system 5. For example, information (see "4-a" through "4-g").

The environment information (see “5” in Table 1-2) shown in Table 1-2 (see FIG. 7) indicates information about the environment in which the bag processing system 5 is placed. information (see "5-a" through "5-i").

The failure information (physical damage information) shown in Table 1-2 (see "6" in Table 1-2) indicates information on failure of the bag processing system 5 (typically due to physical damage). , for example, it can include layer 3 information (see “6-a” to “6-g”) shown in Table 1-2. For example, the information about the content of restoration in the failure information is, for example, when a part of the parts constituting the bag processor 10 has been replaced or repaired, the part is completely replaced with a new part of the same type (for example, the same model number). part), replaced with a new part of a different type but performing the same function (for example, an improved type part), or simply repaired without replacement. Also, the information about the recovery time in the failure information can indicate, for example, the time from when the failure actually occurs until the recovery from the failure is completed.

Malfunction information (machine stoppage, device malfunction) shown in Table 1-2 (see "7" in Table 1-2) indicates malfunction of the bag processing system 5 (typically, machine stoppage and bag processing malfunction). Information about malfunction of each device included in the system 5 (especially the bag processing machine 10), for example, information of layer 3 shown in Table 1-2. For example, the information about the contents of restoration in the malfunction information is information indicating the details of adjustment made for restoration and/or information notified to the user when a sign of the next occurrence of the same malfunction occurs (for example, display information).

The measurement information (see "8" in Table 1-3) shown in Table 1-3 (see FIG. 8) indicates information measured by a sensor such as the state detection sensor 21. For example, the hierarchy shown in Table 1-3 3 information (see "8-a" to "8-q"), more specifically the information of hierarchy 4 shown in Table 1-3, more specifically the information of hierarchy 5 shown in Table 1-3 may contain information. For example, the information about the zip opening sound in the measurement information is obtained when the zip portion (typically, the portion that closes the mouth of the bag) of the bag processed by the bag processing machine 10 is opened from the closed state. may contain information about the sounds emitted by the Among the measurement information, the information related to the mechanical sound includes, for example, information about the sound of each part of the bag processor 10 (for example, a driving part such as a motor) emitted when the bag processor 10 is driven, and includes frequency and other physical information. It can be represented by information. Information related to the internal temperature in the measurement information may include, for example, information on the temperature of each part of the bag processor 10 (for example, the internal temperature). Information relating to belt elongation in the measurement information may include, for example, information indicating the amount of elongation of the belt used in the bag processor 10 (for example, the belt of a conveyor magazine). In addition, the information regarding the meandering of the belt in the measurement information may include, for example, information indicating the amount of meandering in the vertical direction (height direction) of the belt used in the bag processor 10 (for example, the transport belt of the transport conveyor). The odor information included in the measurement information is, for example, information indicating an odor detected by an odor sensor installed in the vicinity of the hot plate of the sealing device of the bag processing machine 10 (for example, the odor of burnt bags), and /or may include information indicating whether or not there is a change in the odor around the bag processor 10 while the packaging process is being performed by the bag processor 10;

The production information (see "1" in Table 2) shown in Table 2 (see FIG. 9) is the product bag produced by the bag processing system 5 (especially the bag processing machine 10) (that is, the product bag containing the content C and the sealed portion). Sb indicates information about the sealed bag B), and may include, for example, information of level 2 shown in Table 2 (see "1-a" to "1-d").

The failure prediction information (breakage of parts) (see "2" in Table 2) shown in Table 2 indicates information on failure (for example, breakage) of each part that constitutes the bag processing system 5. For example, the hierarchy shown in Table 2 2 information (see “2-a” to “2-c”), more specifically the information of layer 3 shown in Table 2, and more specifically the information of layer 4 shown in Table 2. .

The failure prediction information shown in Table 2 (see "3" in Table 2) shows information about mistakes in the bag processing process and/or prediction information about the occurrence of such mistakes. "3-a" to "3-h").

The bag processing condition optimization information shown in Table 2 (see "4" in Table 2) indicates information related to the optimized conditions of the bag processing system 5. For example, information of layer 2 shown in Table 2 ("4- a” through “4-f”).

FIG. 10 is a functional block diagram of the unsoundness prediction information acquisition unit 31. As shown in FIG. The predictive unsoundness information acquisition unit 31 receives the predictive input information D4, obtains predictive unsoundness information D5 based on the predictive input information D4, and outputs the predictive unsoundness information D5.

The predictive input information D4 is input to the unsoundness predictive information acquisition unit 31 from the state detection sensor 21, the storage unit 22 and/or other devices. The predictive input information D4 is basic information for deriving the unsoundness predictive information D5, and various information can be used as the predictive input information D4. The unsoundness prediction information D5 indicates the probability of occurrence of future unsoundness of the bag processing system 5 . The format of the unsoundness prediction information D5 is not limited. For example, the unsoundness prediction information D5 may indicate the probability using a relative scale of "high/low" or may indicate the probability using an absolute scale such as a numerical value.

The unsoundness prediction information acquisition unit 31 (see FIG. 10) of the present embodiment, for example, based on the prediction input information D4 indicating the past unsoundness of the bag processing system 5, determines the future future of the bag processing system 5. Obtain unsoundness prediction information D5 that directly or indirectly indicates the probability of occurrence of unsoundness. As an example, the unsoundness prediction information acquisition unit 31 acquires consumables information (for example, life information (see “4-e” in Table 1-1) and usage start date and time information (see “4-g” in Table 1-1). ))) and failure information (for example, failure date and time information (see “6-c” in Table 1-2)), predicting unsoundness based on whether consumables have failed in a shorter period than expected in the past Information D5 can be obtained. If consumables failed in a shorter period than expected in the past, the unsoundness prediction information D5 can indicate that there is a high probability that unsoundness will occur in the bag processing system 5 in the future. On the other hand, if consumables have not failed in a shorter period than expected in the past, the unsoundness prediction information D5 can indicate that the probability of future unsoundness of the bag processing system 5 is low.

FIG. 11 is a functional block diagram of the unsoundness parameter detector 32. As shown in FIG. The unsoundness parameter detection unit 32 receives the unsoundness prediction information D5, the normal state detection parameter D11, and the transition state detection parameter D12 (or the unsoundness state detection parameter D13), and outputs unsoundness parameter information D14. . If the unsoundness prediction information D5 indicates that there is a high probability that the bag processing system 5 will become unsound in the future in light of the unsoundness criteria, the unsoundness parameter detection unit 32 detects the normal state detection parameter D11. and based on the transition state detection parameter D12 (or the unsoundness state detection parameter D13), a plurality of past state detection parameters (i.e., normal state detection parameter D11) and a plurality of past state detection parameters (i.e., Compare with transition state detection parameter D12 or unsound state detection parameter D13). Based on this comparison, the unsoundness parameter detection unit 32 detects a difference greater than the first reference difference between the normal operating state and the transitional operating state or the unsound operating state among the plurality of state detection parameters D1. find one or more unhealthy parameters that are indicative of The unsoundness parameter detection unit 32 outputs information indicating one or more unsoundness parameters found in this manner as unsoundness parameter information D14.

The normal state detection parameter D11, the transition state detection parameter D12, and the unsound state detection parameter D13 are input to the unsound parameter detection unit 32 from the storage unit 22 and/or other devices. The normal state detection parameters D11 indicate a plurality of past state detection parameters obtained while the bag processing system 5 was in normal operation. The transition state detection parameters D12 indicate a plurality of past state detection parameters obtained while the bag processing system 5 was placed in the transition operating state. The unsoundness state detection parameters D13 indicate a plurality of past state detection parameters obtained while the bag processing system 5 was in the unsoundness operating state. The unsoundness prediction information D5 is input from the unsoundness prediction information acquisition unit 31 to the unsoundness parameter detection unit 32 .

If the unsoundness prediction information D5 indicates that there is a high probability that the bag processing system 5 will become unsound in the future in light of the unsoundness criteria, the unsoundness parameter detection unit 32 detects the normal state detection parameter D11. can be compared with a plurality of state detection parameters included in the transition state detection parameter D12 or the unsoundness state detection parameter D13 to output unsoundness parameter information D14. If the unsoundness prediction information D5 indicates that the probability of occurrence of future unsoundness in the bag processing system 5 is low in light of the unsoundness criteria, the unsoundness parameter detection unit 32 detects the normal state. It is not necessary to compare the parameter D11 with the transition state detection parameter D12 (or the unsoundness state detection parameter D13) and/or output the unsoundness parameter information D14.

FIG. 12 is a functional block diagram of the state detection parameter acquisition unit 33. As shown in FIG. The state detection parameter acquisition unit 33 receives the real-time state detection parameter D15 and continuously acquires one or more state detection parameters including the unsoundness parameter.

The real-time state detection parameter D15 is information input to the state detection parameter acquisition unit 33 from the state detection sensor 21, the storage unit 22 and/or other devices. From the viewpoint of inputting the real-time state detection parameter to the state detection parameter acquisition unit 33 as the real-time state detection parameter D15, the real-time state detection parameter D15 should be input directly from the state detection sensor 21 to the state detection parameter acquisition unit 33. is preferred. The interval of the real-time state detection parameter D15 acquired by the state detection parameter acquisition unit 33 is not limited, but the shorter the interval, the more quickly the unsoundness can be notified to the user 100 .

FIG. 13 is a functional block diagram of the unsoundness parameter monitor 34. As shown in FIG. The unsoundness parameter monitoring unit 34 receives the transition state detection parameter D12 (or the unsoundness state detection parameter D13), the unsoundness parameter information D14, and the real-time state detection parameter D15, and outputs unsoundness detection information D3. .

Based on the unsoundness parameter information D14, the unsoundness parameter monitoring unit 34 converts each of the real-time state detection parameter D15 and the transition state detection parameter D12 (or the unsoundness state detection parameter D13) into the unsoundness parameter. A corresponding state detection parameter (that is, a state detection parameter to be compared to obtain the unsoundness detection information D3) is selected. The unsoundness parameter monitoring unit 34 monitors the unsoundness parameter (real-time state detection parameter D15) continuously acquired by the state detection parameter acquisition unit 33 and the transitional operating state or unsound operating state of the bag processing system 5 The unsoundness parameter difference, which is the difference between the past unsoundness parameter (the transition state detection parameter D12 or the unsoundness state detection parameter D13) obtained while being placed in the second reference difference, is greater than the second reference difference Monitor whether it is small or not. The unsoundness parameter monitoring unit 34 outputs the result of monitoring whether the unsoundness parameter difference is smaller than the second reference difference to the notification unit 35 as unsoundness detection information D3.

Of the transition state detection parameter D12, the unsound state detection parameter D13, and the real-time state detection parameter D15, only the state detection parameter corresponding to the unsoundness parameter may be input to the unsoundness parameter monitoring unit 34. In this case, the unsoundness parameter monitoring unit 34 determines that the difference between the actually input real-time state detection parameter D15 and the transition state detection parameter D12 or the unsoundness state detection parameter D13 (that is, the unsoundness parameter difference) is the second It monitors whether or not it is smaller than the reference difference, and outputs the monitoring result to the notification unit 35 as the unsoundness detection information D3.

When the unsoundness parameter monitoring unit 34 detects that the unsoundness parameter difference is smaller than the second reference difference, the reporting unit 35 notifies at least one of the information about the unsoundness parameter and the information about the unsoundness. Either one is reported to the user 100 as unsoundness detection information D3. That is, when the unsoundness detection information D3 from the unsoundness parameter monitoring unit 34 indicates that the unsoundness parameter difference is smaller than the second reference difference, the notification unit 35 notifies the user 100 that there is unsoundness. to be notified.

[Consumables/malfunction unsoundness of bag processing system 5]
The unsoundness of the bag processing system 5 predicted by the unsoundness prediction device 20 described above is exemplified in Table 2 above, but is not limited thereto. For example, the unsoundness of the bag processing system 5 predicted by the unsoundness prediction device 20 includes unsoundness of consumables included in the bag processing system 5 and/or malfunction of the bag processing system 5. good too.

Consumables of the bag processing system 5 are parts that are scheduled to be replaced periodically. Parts that can deteriorate over time in a relatively short period of time correspond to consumables here, and for example, rubber or resin parts provided in the bag processing machine 10 and parts to be energized correspond to consumables. Malfunctions of the bag processing system 5 can include general malfunctions that can occur suddenly, such as malfunctions of the bag processing machine 10 that can be resolved by maintenance work.

FIG. 14 is a functional block diagram showing an example of the unsoundness prediction information acquisition unit 31. As shown in FIG. The prediction input information D4 (see FIG. 10) input to the unsoundness prediction information acquisition unit 31 includes, as shown in FIG. (that is, consumables unhealthy probability information D51). The predictive unsoundness information D5 (see FIG. 10) output from the predictive unsoundness information acquisition unit 31 includes information on consumables (consumables-related information D41) and past unsoundness of consumables as shown in FIG. It may also include information (i.e., consumables unsoundness probability information D51) indicating the probability of occurrence of future unsoundness of consumables obtained based on the information on soundness (consumables unsoundness information D42). .

In this case, the unsoundness parameter detection unit 32 (see FIG. 11) outputs unsoundness parameter information D14 regarding consumables, and the unsoundness parameter monitoring unit 34 (see FIG. 13) outputs unsoundness detection information regarding consumables. By outputting D3, the notification unit 35 (see FIG. 13) can notify the user 100 of the unsoundness of the consumables.

FIG. 15 is a functional block diagram showing another example of the unsoundness prediction information acquisition unit 31. As shown in FIG. The predictive input information D4 (see FIG. 10) input to the unsoundness predictive information acquisition unit 31 includes information on past malfunctions of the bag processing system 5 (that is, past malfunction information D43) as shown in FIG. You can stay. The predictive unsoundness information D5 (see FIG. 10) output from the predictive unsoundness information acquisition unit 31 is information about past malfunctions of the bag processing system 5 (past malfunction information D43) as shown in FIG. (that is, malfunction probability information D52) indicating the probability of future malfunction of the bag processing system 5 obtained based on the above.

In this case, the unsoundness parameter detection unit 32 (see FIG. 11) outputs unsoundness parameter information D14 regarding malfunction of the bag processing system 5, and the unsoundness parameter monitoring unit 34 (see FIG. 13) outputs the bag processing system 5, and the reporting unit 35 (see FIG. 13) can notify the user 100 of the unsoundness related to the malfunction of the bag processing system 5. FIG.

The unhealthy predictor 20 may have functions not described above. For example, the unsoundness predicting device 20 may notify the user 100 of information on the degree of deterioration of the consumables and information on predicted replacement timing of the consumables based on the colors of the consumables (see FIGS. 16 to 18). ).

FIG. 16 is a functional block diagram of the consumables unsoundness information acquisition unit 41. As shown in FIG. FIG. 17 is a functional block diagram of the real-time consumables status acquisition unit 42. As shown in FIG. FIG. 18 is a functional block diagram of the deterioration state derivation unit 43. As shown in FIG. The unsoundness prediction device 20 (see FIG. 5) can include a consumables unsoundness information acquisition unit 41, a real-time consumables state acquisition unit 42, and a deterioration state derivation unit 43 shown in FIGS. The consumables unhealthy information acquisition unit 41, the real-time consumables state acquisition unit 42, and the deterioration state derivation unit 43 may be configured by the above-described functional blocks, or may be configured by other functional blocks. For example, the consumables unsoundness information acquisition unit 41 may be configured by the unsoundness parameter detection unit 32, the real-time consumables state acquisition unit 42 may be configured by the state detection parameter acquisition unit 33, and deterioration state derivation may be performed. The unit 43 may be constituted by the unhealthy parameter monitoring unit 34 .

The consumables unsoundness information acquisition unit 41 shown in FIG. , and unsoundness occurrence operating time information D62 indicating the operating time of the bag processing system 5 from when the consumable of interest was attached to the bag processing system 5 until the occurrence of unsoundness in the consumable of interest in the past. The operating time is the time during which the bag processing system 5 (for example, the bag processing machine 10) is driven, for example, the time during which the parts constituting the bag processing machine 10 move. The unsoundness color information D<b>61 and the unsoundness occurrence operating time information D<b>62 can be input from the storage unit 22 to the consumables unsoundness information acquisition unit 41 .

The real-time consumables status acquisition unit 42 shown in FIG. real-time operating time information D65 indicating the operating time of the bag processing system 5 from the time when the product is mounted on the bag processing system 5 to the present is continuously acquired. The real-time environment information D63, the real-time color information D64, and the real-time operating time information D65 can be input from the state detection sensor 21 and/or the storage unit 22 to the real-time consumables state acquisition unit 42.

The first deterioration state derivation unit 44 included in the deterioration state derivation unit 43 shown in FIG. and at least one of deterioration reference information D66 indicating the degree of deterioration of the consumable of interest and replacement prediction timing reference information D67 indicating the predicted next replacement time of the consumable of interest based on at least one of Derive at least one of them. The second deterioration state derivation unit 45 included in the deterioration state derivation unit 43 shown in FIG. At least one of corrected replacement prediction time reference information D69 indicating the next replacement prediction time for the consumable of interest derived based on information D63 and replacement prediction time reference information D67 is obtained.

The real-time color information D64 and the real-time operating time information D65 can be input to the first deterioration state derivation unit 44 via the real-time consumables state acquisition unit 42. FIG. The unsoundness color information D<b>61 and the unsoundness occurrence operating time information D<b>62 can be input to the first deterioration state derivation unit 44 via the consumables unsoundness information acquisition unit 41 . The real-time environmental information D63 can be input to the second deterioration state derivation unit 45 via the real-time consumables state acquisition unit 42 .

By comparing the real-time color information D64 and the unhealthy color information D61, it is possible to detect the extent to which the current color of the consumable item of interest approaches the color of the consumable item of interest at the time of the occurrence of the unhealthy item in the past. The first deterioration state derivation unit 44 can evaluate the current degree of deterioration of the consumable of interest (that is, the deterioration reference information D66) based on the detection result. Further, by comparing the real-time operating time information D65 and the unsoundness occurrence operating time information D62, the operating time of the bag processing system 5 up to the present can be calculated as the bag processing time until the occurrence of unsoundness in the consumables of interest in the past. It is possible to detect the extent to which the operating time of the system 5 is approaching, and based on the detection result, the first deterioration state derivation unit 44 calculates the current predicted replacement time of the consumable of interest (that is, the predicted replacement time reference information D67). can be evaluated.

Then, by correcting the deterioration reference information D66 and the replacement prediction time reference information D67 based on the real-time environmental information D63, the second deterioration state derivation unit 45 can generate a more reliable current value that takes actual environmental conditions into account. It is possible to derive the degree of deterioration and the predicted replacement timing of the consumable of interest (that is, the corrected deterioration information D68 and the corrected replacement prediction timing reference information D69).

Then, the notification unit 35 (see FIG. 5) notifies the user 100 of at least one of the corrected deterioration information D68 and the corrected replacement prediction timing reference information D69 from the deterioration state derivation unit 43 (second deterioration state derivation unit 45). notify. In this manner, the corrected deterioration information D68 and the corrected replacement prediction time reference information D69 shown in FIG. 18 may be input to the notification unit 35 as the unsoundness detection information D3 (see FIG. 13).

The unsoundness prediction device 20 including the consumables unsoundness information acquisition unit 41, the real-time consumables state acquisition unit 42, and the deterioration state derivation unit 43 described above uses parts (for example, made of rubber or resin) that can deteriorate in a relatively short cycle. It is particularly effective when using the above-mentioned notable consumables (parts manufactured by the manufacturer or parts to be energized).

The unsoundness predicting device 20 may inform the user 100 of information regarding the predicted timing of maintenance and inspection based on the mechanical sounds of the elements constituting the bag processing system 5 (especially the bag processing machine 10) (Figs. 21).

FIG. 19 is a functional block diagram of the machine unsoundness information acquisition unit 51. As shown in FIG. FIG. 20 is a functional block diagram of the real-time machine condition acquisition unit 52. As shown in FIG. FIG. 21 is a functional block diagram of the maintenance inspection prediction timing derivation unit 53. As shown in FIG. The unsoundness prediction device 20 (see FIG. 5) can include a machine unsoundness information acquisition unit 51, a real-time machine condition acquisition unit 52, and a maintenance inspection prediction timing derivation unit 53 shown in FIGS. The machine unsoundness information acquisition unit 51, the real-time machine condition acquisition unit 52, and the maintenance inspection prediction timing derivation unit 53 may be configured by the above-described functional blocks, or may be configured by other functional blocks. For example, the machine unsoundness information acquisition unit 51 may be configured by the unsoundness parameter detection unit 32, and the real-time machine condition acquisition unit 52 may be configured by the condition detection parameter acquisition unit 33. Unit 53 may be constituted by unhealthy parameter monitor 34 .

The machine unsoundness information acquisition unit 51 shown in FIG. ), and an unsoundness generation maintenance inspection period indicating the period from when the maintenance inspection was performed to normalize the machine noise of interest in the past until the occurrence of the operation failure of interest. Information D72 is acquired. The unsoundness machine sound information D71 and the unsoundness occurrence maintenance inspection period information D72 can be input from the storage unit 22 to the machine unsoundness information acquisition unit 51 .

The real-time machine state acquisition unit 52 shown in FIG. 20 acquires real-time environment information D73 indicating the current environment in which the bag processing system 5 is placed, and real-time machine sound information D74 indicating the current noteworthy machine sound of the bag processing system 5. , and real-time maintenance and inspection period information D75 indicating the period from the last maintenance inspection for normalizing the machine sound of interest to the present are continuously acquired. The real-time environment information D73, the real-time machine sound information D74, and the real-time maintenance inspection period information D75 can be input from the state detection sensor 21 and/or the storage section 22 to the real-time machine state acquisition section 52.

The first timing derivation unit 54 included in the maintenance inspection prediction timing derivation unit 53 shown in FIG. Based on at least one of the comparison result of the maintenance and inspection period information D72, maintenance and inspection prediction timing reference information D76 indicating the prediction timing of the next maintenance and inspection for normalizing the machine sound of interest is derived. The second timing derivation unit 55 included in the maintenance inspection prediction timing derivation unit 53 of FIG. Corrective maintenance and inspection prediction time information D77 indicating the prediction time of is obtained.

The real-time machine sound information D74 and the real-time maintenance and inspection period information D75 can be input to the first timing derivation section 54 via the real-time machine condition acquisition section 52. FIG. The unsoundness machine sound information D71 and the unsoundness occurrence maintenance inspection period information D72 can be input to the first timing derivation section 54 via the machine unsoundness information acquisition section 51 . The real-time environment information D73 can be input to the second timing derivation unit 55 via the real-time machine condition acquisition unit 52 .

By comparing the real-time mechanical sound information D74 and the unsound mechanical sound information D71, it is possible to detect the degree to which the current mechanical sound of interest approaches the mechanical sound of interest when the unsoundness occurred in the past, The first timing derivation unit 54 can evaluate the current state of the machine (that is, the maintenance inspection prediction timing reference information D76) based on the detection result. Further, by comparing the real-time maintenance and inspection period information D75 and the unsoundness occurrence maintenance and inspection period information D72, it is possible to detect the extent to which the period up to the present is approaching the period until the occurrence of the noted malfunction in the past. , and the first timing derivation unit 54 can evaluate the current state of the machine (that is, the maintenance inspection prediction timing reference information D76) based on the detection result.

Then, by correcting the maintenance inspection prediction timing reference information D76 based on the real-time environmental information D73, the second timing derivation unit 55 can obtain a more reliable current state of the machine (i.e., Corrective maintenance inspection forecast time information D77) can be derived.

The notification unit 35 (see FIG. 5) notifies the user 100 of the corrected maintenance and inspection predicted timing information D77 from the maintenance and inspection predicted timing derivation unit 53 (second timing derivation unit 55). In this manner, the corrected maintenance and inspection prediction time information D77 shown in FIG. 21 may be input to the notification unit 35 as the unsoundness detection information D3 (see FIG. 13).

The unsoundness prediction device 20 may notify the user 100 of information regarding the predicted timing of maintenance inspection based on the loads acting on the elements constituting the bag processing system 5 (particularly, the bag processing machine 10) (Figs. See Figure 24).

FIG. 22 is a functional block diagram of the machine unsoundness information acquisition unit 61. As shown in FIG. FIG. 23 is a functional block diagram of the real-time machine condition acquisition section 62. As shown in FIG. FIG. 24 is a functional block diagram of the maintenance inspection prediction timing derivation unit 63. As shown in FIG. The unsoundness prediction device 20 (see FIG. 5) can include a machine unsoundness information acquisition unit 61, a real-time machine condition acquisition unit 62, and a maintenance inspection prediction timing derivation unit 63 shown in FIGS. The machine unsoundness information acquisition unit 61, the real-time machine condition acquisition unit 62, and the maintenance inspection prediction time derivation unit 63 may be configured by the above-described functional blocks, or may be configured by other functional blocks. For example, the machine unsoundness information acquisition unit 61 may be configured by the unsoundness parameter detection unit 32, the real-time machine state acquisition unit 62 may be configured by the state detection parameter acquisition unit 33, and maintenance inspection prediction timing derivation may be performed. Unit 63 may be configured by unhealthy parameter monitor 34 .

The machine unsoundness information acquisition unit 61 shown in FIG. 22 obtains information about the motor of the bag processing system 5 (hereinafter referred to as the "notable motor ), and an unsoundness load information D81 indicating the period from when the past maintenance inspection for reducing the load on the motor of interest in the bag processing system 5 until the occurrence of the malfunction of interest occurred. Health occurrence maintenance inspection period information D82 is obtained. The unsoundness load information D<b>81 and the unsoundness occurrence maintenance inspection period information D<b>82 can be input from the storage unit 22 to the machine unsoundness information acquisition unit 61 .

The real-time machine condition acquisition unit 62 shown in FIG. 23 acquires real-time environment information D83 indicating the current environment in which the bag processing system 5 is placed, real-time load information D84 indicating the current load of the motor of interest, and load information of the motor of interest. real-time maintenance and inspection period information D85 indicating the period from when the immediately preceding maintenance and inspection for reducing . The real-time environment information D83, the real-time load information D84, and the real-time maintenance inspection period information D85 can be input to the real-time machine condition acquisition unit 62 from the condition detection sensor 21 and/or the storage unit 22.

The first timing derivation unit 64 included in the maintenance inspection prediction timing derivation unit 63 shown in FIG. Based on at least one of the comparison result of the period information D82 and/or the reference information D86 of the predicted timing of the next maintenance and inspection for reducing the load of the motor of interest is derived. The second timing derivation unit 65 included in the maintenance inspection prediction timing derivation unit 63 shown in FIG. Correction maintenance inspection prediction timing information D87 indicating the prediction timing of inspection is obtained.

The real-time load information D84 and the real-time maintenance inspection period information D85 can be input to the first timing derivation section 64 via the real-time machine condition acquisition section 62. FIG. The unsoundness load information D<b>81 and the unsoundness occurrence maintenance inspection period information D<b>82 can be input to the first timing derivation unit 64 via the machine unsoundness information acquisition unit 61 . The real-time environment information D83 can be input to the second timing derivation unit 65 via the real-time machine condition acquisition unit 62 .

By comparing the real-time load information D84 and the unhealthy load information D81, it is possible to detect the extent to which the current load acting on the target motor is approaching the load when the unhealthy event occurred in the past. , the first timing derivation unit 64 can evaluate the predicted maintenance and inspection timing (that is, the predicted maintenance and inspection timing reference information D86) derived from the current degree of deterioration of the motor of interest based on the detection result. Also, by comparing the real-time maintenance and inspection period information D85 and the unsoundness occurring maintenance and inspection period information D82, it is possible to detect the extent to which the period up to the present is approaching the period until the malfunction of the motor of interest occurred in the past. The first timing derivation unit 64 can evaluate the predicted maintenance and inspection timing (that is, the predicted maintenance and inspection timing reference information D86) based on the detection result.

Then, by correcting the maintenance and inspection prediction timing reference information D86 based on the real-time environmental information D83, the second timing derivation unit 65 can obtain a more reliable maintenance and inspection prediction timing (that is, correction Maintenance inspection prediction time information D87) can be derived.

Then, the notification unit 35 (see FIG. 5) notifies the user 100 of the corrected maintenance and inspection predicted timing information D87 from the maintenance and inspection predicted timing derivation unit 63 (second timing derivation unit 65). In this manner, the corrected maintenance and inspection prediction time information D87 shown in FIG. 24 may be input to the notification unit 35 as the unsoundness detection information D3 (see FIG. 13).

[Unsoundness prediction method]
The "unsoundness prediction method for predicting the occurrence of unsoundness in the bag processing system 5" performed by the unsoundness prediction device 20 is performed as follows.

The step of obtaining predictive unsoundness information D5 indicating the probability of occurrence of future unsoundness of the bag processing system 5 based on the predictive input information D4 indicating information regarding past unsoundness of the bag processing system 5 is performed by: It is performed by the health prediction information acquisition unit 31 .

If the unsoundness prediction information D5 indicates that the probability is high in light of the unsoundness judgment criteria, a plurality of past state detection parameters ( normal state detection parameter D11) and a plurality of past state detection parameters (transition state detection parameter D12 or unsound state detection parameter D13), and from among the plurality of state detection parameters, an unsoundness parameter that exhibits a difference greater than the first reference difference between the normal operating state and the transitional operating state or the unsound operating state. The finding step is performed by the unhealthy parameter detector 32 .

The state detection parameter acquisition unit 33 continuously acquires one or more state detection parameters (real-time state detection parameters D15) including the unsoundness parameter.

is the difference between the continuously acquired unsoundness parameter and past unsoundness parameters obtained while the bag processing system 5 is in a transitional or unsound operating state; A step of monitoring whether the unhealthy parameter difference is less than the second reference difference is performed by the unhealthy parameter monitor 34 .

when it is detected that the unsoundness parameter difference is smaller than the second reference difference, at least one of the information about the unsoundness parameter and the information about the unsoundness as unsoundness detection information D3 A step of informing the user 100 is performed by the informing unit 35 .

In addition, the present disclosure includes a program for causing a computer to execute one or more steps (procedures) included in the above unsoundness prediction method, and a computer-readable non-temporary recording medium that records such a program. may be embodied.

[Second mode]
As described above, based on the input information (see Tables 1-1, 1-2 and 1-3), the output information (see Table 2: production information, failure prediction information (part breakage information), Defect prediction information (mistake occurrence prediction information in the bag processing process) and/or bag processing condition optimization information) can be derived. In particular, it is possible to derive and display information that has a positive effect on the production efficiency of the bag processing system as output information. Such output information is not particularly limited, and output information related to prediction and optimization, for example, can be useful information for users.

<Output of consumables replacement timing arrival information (including degree of deterioration)>
Consumables replacement time arrival information (including degree of deterioration) (see “2-a” in Table 2) may be derived as output information. For example, consumables replacement time arrival information is derived as follows. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Failure prediction information provision judgment process Spec information (see “1” in Table 1-1), consumables information (see “4” in Table 1-1) and failure information (physical damage information) (see Table 1-2) Consumables replacement time arrival information indicating that "damage of consumables may be confirmed earlier than the predetermined replacement time of consumables" based on input information including "6") A determination is made as to whether provision is necessary.

Information processing process Based on the input information including the measurement information (see “8” in Table 1-3), the bag handling system before failure (i.e. during normal operation) and immediately before failure (i.e. during normal operation and during failure) are compared to identify unhealthy parameters for the metrology information. In the next operation of the bag processing system, the unsoundness parameter related to the specified measurement information will be the state immediately before the unsoundness detected immediately before the failure (value immediately before unsoundness) or the state immediately before unsoundness (unsoundness If it shows a state (numerical value) that is close to the value immediately before the performance, it is recognized that the bag processing system is unsound.

Information display process When it is recognized that an unsoundness has occurred in the bag processing system, the content of the unsoundness is notified to the user.

<Output of information on the unsoundness of rubber used for bag holding parts such as chuck rubber and gripper rubber>
Unsoundness information of rubbers used in the bag clamping part such as zipper rubbers and gripper rubbers (see “2-aI” in Table 2) may be derived as output information. For example, the unsoundness information of the rubber used for the bag clamping part such as the zipper rubber and the gripper rubber is derived in the following manner. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Information Processing Process The color of the consumable at the time of failure is identified based on the input information including the unhealthy information of discoloration of rubber or resin (see “8-f-II” in Table 1-3). Degradation of consumables based on environmental information (see “5” in Table 1-2) and dry/actual operation information (operating time and stop time) (see “8-e-III” in Table 1-3) A degree or replacement time is specified.

Information display step The user is notified of the degree of deterioration or replacement time of the specified consumable.

<Output of unhealthy information on the heating wire of the impulse seal of the vacuum bag processing machine>
The unhealthy information of the impulse seal heating wire of the vacuum bag processor (see "2-a-III" in Table 2) may be derived as the output information. For example, the unsoundness information of the heating wire of the impulse seal of the vacuum bag processor is derived as follows. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Information Processing Process Based on the unhealthy information on discoloration of the current-carrying plate (see "8-fI" in Table 1-3), information on the color of the current-carrying plate at the time of failure is specified. Degradation of consumables based on environmental information (see “5” in Table 1-2) and dry/actual operation information (operating time and stop time) (see “8-e-III” in Table 1-3) A degree or replacement time is specified.

Information display step The user is notified of the degree of deterioration or replacement time of the specified consumable.

<Output of maintenance time arrival information>
Maintenance timing arrival information (see “2-b” in Table 2) may be derived as output information. For example, maintenance time arrival information is derived as follows. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Determination process for provision of failure prediction information Spec information (see “1-1” in Table 1-1), sound information (see “8-a” in Table 1-3), and dynamic resistance value information (see “8-a” in Table 1-3) 8-h”)), whether or not it is necessary to provide information indicating that “unsoundness may be confirmed even if it is not the predetermined maintenance and inspection time”. be judged. The mechanical sound is the sound emitted from the elements constituting the bag processing system, and may include, for example, the rotating sound of the motor, the sound when the sliding part slides over other members, and the sound of the speed reducer.

Information processing process Maintenance timing (oil or grease application timing) is determined based on input information including environmental information (see “5” in Table 1-2) and sound information (see “8-a” in Table 1-3). identified.

Information display process The user is notified of the specified maintenance timing (oil or grease application timing).

<Output of insufficient opening information>
Aperture shortage information (see “3-c” in Table 2) may be derived as output information. For example, aperture shortage information is derived as follows. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Failure Prediction Information Provision Determining Step Based on the malfunction information (machine stoppage, device malfunction) (see "7" in Table 1-2), it is determined whether or not it is necessary to provide the opening shortage information.

Information processing process Based on malfunction information (machine stoppage, device malfunction) (see “7” in Table 1-2) and zip opening sound information (“8-a-I” in Table 1-3) , defective opening information indicating the presence or absence of defective opening is specified.

Information Display Step A user is notified of the specified poor opening information. The opening sound of the bag zip handled by the bag processing system (especially the sound when the zip portion is disengaged) varies depending on the type of bag and the strength of the zip. Therefore, the zip opening sound when the defect actually occurs is specified, and when the zip opening sound at the time of unsoundness is detected during operation after the occurrence of the defect, the user is notified of the defect.

<Output of filling amount excess/deficiency information>
Filling excess/deficiency information (see “3-e” in Table 2) may be derived as output information. For example, the filling amount excess/deficiency information is derived as follows. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Defect prediction information provision judgment process Malfunction information (machine stoppage, device malfunction) (see “7” in Table 1-2) and servo motor load information (“8-h-I” in Table 1-3) ), it is determined whether or not it is necessary to provide information on excess or deficiency of filling amount.

Information processing process Based on input information including environmental information (see "5" in Table 1-2) and information on filling viscosity (see "8-k-II" in Table 1-3) Information is identified. The viscosity of the filling material (that is, the content) changes due to changes in the environment, and the load on the drive section of the servo motor when filling the bag with the content may increase more than expected. Unsoundness then occurs.

Information display step The user is notified of the specified filling amount excess/deficiency information.

<Output of defect prediction information (error prediction information in the bag processing process)>
Defect prediction information (mistake occurrence prediction information in the bag processing process) (see “3” in Table 2) may be derived as output information. For example, defect prediction information (mistake occurrence prediction information in the bag processing process) is derived as follows. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Failure prediction information provision judgment process Machine operation monitoring information by motion capture (see “8-o-II” in Table 1-3) and position detection information by position sensors and/or servo motors (Table 1-3 (see "8-o-III"), it is determined whether or not it is necessary to provide defect prediction information (mistake occurrence prediction information in the bag processing process).

Information processing process Machine operation monitoring information by motion capture during normal operation (see “8-o-II” in Table 1-3) and position detection information by position sensors and/or servo motors (Table 1-3 "8-o-III") is used as reference information, and if an operation outside the range determined based on the reference information is confirmed, it is determined that there is a defect in the defect prediction information (mistake occurrence prediction information in the bag processing process). be judged.

Information display step The user is notified of the specified failure prediction information (mistake occurrence prediction information in the bag processing step).

<Output of information on optimal environment proposal>
Information of the optimum environment proposal (see “4-a” in Table 2) may be derived as output information. For example, the information of the optimum environment proposal is derived as follows. Note that the following steps can be appropriately performed by, for example, the elements constituting the unsoundness prediction device 20 described above.

Optimization information provision judgment process Based on the information on the flow line of people during production (see “8-oIA” in Table 1-3), the movement of the user is identified and the movement of people is stagnant. dead space information is determined.

Information processing process Based on the information on the flow line of people during production (see "8-o-IA" in Table 1-3), the state of stagnation in the movement of people is identified, and the work is carried out based on the state of stagnation. Locations where work takes time and locations where work does not take much time are identified, and appropriate personnel allocation is determined. Also, based on the dead space information, the installation location of a new device is predicted and a layout is provided when adding machines.

Information display process Information requested in the information processing process is notified to the user.

[Third mode]
Extract useful output information from input information for users (including workers (operators and machine manufacturer personnel) and managers (customers and machine manufacturers)) when managing production and maintenance of bag processing systems. It is desired that For example, input information at the time of a failure is recorded, and based on the recorded information, information is output in advance under similar conditions, or artificial intelligence (AI) is used from the input information at the time of failure. It is very desirable to predict failures and output information in advance even under different conditions.

For example, the input information collection device includes an acquisition unit that acquires and collects (for example, records) input information. The acquisition unit may acquire environmental information surrounding the bag processing system, such as temperature, air temperature, and/or humidity. In addition, the acquisition unit acquires machine information (setting information) such as machine delivery date, machine life, number of processes, life of consumables, and order delivery date of consumables, which are recorded in advance in the storage unit (recording medium). good too. The acquisition unit may also acquire maintenance and inspection information such as defective locations and failure locations. The acquisition unit may also acquire production information detected during operation of the bag processing system.

The information processing device includes a processing unit that processes input information obtained by the input information collection device. This processing unit outputs at least one or more information of environmental information, machine information, maintenance and inspection information, and production information, It may be extracted (output) from the input information. The information processing device may have a display function for displaying the extracted information, and may sound an alarm (sound) based on the extracted information.

As described above, the information processing system includes an input unit for inputting input information related to the bag processing system, a processing unit for deriving output information from the input information, a notification unit for issuing notification information based on the output information, can be provided. The input information can include at least one or more of environment information, setting information, maintenance information and production information, and the output information can include at least one or more of maintenance forecast information and production forecast information. Is possible.

The processing unit of the information processing device may extract, from the input information, adjustment information, failure information, defect occurrence information, and maintenance and inspection history information. That is, the processing unit of the information processing device may derive at least one or more of adjustment information, failure information, defect occurrence information, and maintenance history information as maintenance prediction information from the input information.

Further, the information processing device may extract the opening failure information of the zipper bag from the opening sound of the zipper. For example, the bag is opened by a pair of suction cups while the chuck is closed. At this time, the zipper is opened at the same time as the bag is opened. It is possible to detect whether the chuck has been properly opened from the difference in sound when the chuck is open and when it is not. In this way, the bag processing system processes a bag having a mouth portion and a chuck provided at the mouth portion, and the input portion receives a state in which the mouth portion is closed due to the engagement of the chuck, and the engagement of the chuck is released. Information on the mouth opening sound generated when the mouth is moved to a state where the mouth is opened may be input as the maintenance information, and the processing unit may derive the defect occurrence information based on the information on the mouth opening sound.

The processing unit of the information processing apparatus may extract from the input information the maintenance timing arrival information, the consumables replacement timing arrival information, and the maintenance inspection timing related to the machine life expiration information. In this case, the processing unit of the information processing device can derive at least one of maintenance timing information, consumables replacement timing information, and device life information from the input information as maintenance prediction information.

In the information processing apparatus, the maintenance timing arrival information can be extracted by processing input information of maintenance inspection information (adjustment, failure, occurrence of defects, maintenance inspection details, etc.), which is input information. It is possible to provide maintenance timing information based not only on predetermined periodic maintenance information, but also on past troubles and maintenance and inspection details as described above. Thus, the input information includes maintenance information, and the processing unit can also derive maintenance timing information based on the maintenance information.

In the information processing apparatus, the maintenance information of a mechanism having a sliding portion such as an elevating shaft or a rotating shaft of a rotary table of a bag processing machine may be extracted from the viscosity of the oil. As the oil ages, it becomes less viscous and no longer performs its intended function. Since the degree of deterioration of oil varies depending on production conditions and environmental conditions, it is possible to know the degree of deterioration of oil more accurately by judging from oil viscosity rather than simply determining the timing. Thus, the bag processing machine of the bag processing system has a sliding portion in which two or more members move while contacting each other and is supplied with oil, and the maintenance and inspection information includes the viscosity of the oil. Including the information, the processing unit may derive the maintenance timing information based on the oil viscosity information.

Further, in the information processing apparatus, maintenance information for a mechanism having a sliding portion such as an elevating shaft or a rotating shaft of a rotary table of a bag processing machine may be extracted from the color of the oil. That is, the bag processing machine of the bag processing system has a sliding portion in which two or more members move while contacting each other and is supplied with oil, and the maintenance and inspection information includes information on the color of the oil. Including, the processing unit of the information processing device may derive the maintenance timing information based on the information on the color of the oil.

In the information processing apparatus, the consumables replacement time arrival information may be extracted by processing the parts information, failure information, adjustment information, defect information and/or environment information included in the input information. The input information includes maintenance and inspection information, the maintenance and inspection information includes one or more of parts information, failure information, adjustment information, defect information, and environment information, and the processing unit receives parts information, failure information, adjustment information, defect Consumable replacement time information is derived based on one or more of the information and environmental information.

Further, in the information processing apparatus, the consumables replacement time arrival information can be extracted from at least the environment information among the input information. For example, the information processing device may determine the surrounding environmental conditions such as temperature, humidity, and atmospheric pressure, grasp the state of consumables, and display extracted information. In this way, the maintenance and inspection information includes environmental information, and the processing unit may derive the consumables replacement timing information based on the environmental information.

In addition, the information processing device may extract consumables replacement timing arrival information based on ultraviolet information among the environmental information. may be reflected. The environmental information may include ultraviolet information, and the processing unit of the information processing device may derive consumables replacement time information based on the ultraviolet information.

In order to utilize the fact that the electric resistance value changes when the component is distorted, the consumables replacement time arrival information may be extracted from the electric resistance value information among the input information. For example, the bag processing system has a variable resistance component whose electrical resistance value varies according to strain, the maintenance inspection information includes component information, and the component information is a resistance value indicating the electrical resistance value of the variable resistance component. The information may be included, and the processing unit may derive consumable replacement time information based on the resistance value information.

Further, the processing unit of the information processing device may extract failure prediction information related to prediction of failure of the device from the input information. For example, the output information may include maintenance prediction information, and the maintenance prediction information may include failure prediction information relating to prediction of failure of the bag processing system.

Further, in the information processing apparatus, the failure prediction information may be extracted from vibration values of the entire bag processing machine or individual parts during operation. The bag processing machine repeats the same operation at regular intervals to process a plurality of bags. Therefore, it is possible to obtain a vibration waveform based on a constant period of time, and to predict a failure from changes in the waveform. If there is an operational problem due to a component failure, the timing of the operation will be delayed and a change in the waveform may appear. Further, in the information processing device, the failure prediction information may be extracted from sounds produced during operation by devices or components of the bag processing machine. Waveforms can be obtained from sound as well as from vibration.

The processing unit of the information processing device may extract, from the input information, bag processing condition optimization information at the time of specification change regarding adjustment points and adjustment amounts of the device that change with specification change. For example, it is possible to store the registration of the bag type in advance in the storage unit, and display the above-described adjustment points and adjustment amounts in response to switching of the registration of the bag type. Even for new bags whose product type is not registered, the processing unit of the information processing device judges and identifies adjustment points and adjustment amounts based on the size and type of the bag, the type of input material, and other input information. I can. Accordingly, the output information may include production forecast information, the production forecast information may include conditional optimization information regarding optimum settings of the bag processing system, and the processing unit may derive the conditional optimization information based on the input information. .

The processing unit of the information processing device optimizes bag processing conditions (adjustments) based on parameters that change during production (e.g. liquid temperature, storage amount in tank, viscosity, environmental information temperature, humidity and air pressure). may be extracted from the input information. Environmental information can be considered as an item that changes during production. Among other items, the condition of the packaged items may also change during production. For example, as the temperature and storage volume of the contents in the tank change, the head pressure can change, and the volume and weight of the contents entering the metering cylinder can change, and the volume and weight of the contents entering the bag can change. Actual contents volume and weight may vary. In addition, if the viscosity of the contents changes, the relationship between the discharge time and the discharge amount of the contents from the filling nozzle may change, so it is required to change the timing of opening and closing the filling nozzle according to the viscosity of the contents. sell. Therefore, the input information includes environmental information, the output information includes production forecast information, the production forecast information includes condition optimization information regarding optimum settings of the bag processing system, and the processing section performs condition optimization based on the environmental information. may be derived.

By performing the processing as described above, it is possible to provide highly accurate information.

5 Bag processing system 10 Bag processing machine 11 Bag loading unit 12 Content loading unit 13 Seal processing unit 14 Bag unloading unit 15 Packaging control unit 16 Front stage 17 Back stage 20 Unsoundness prediction device 21 State detection sensor 22 Storage unit 24 Input Output interface 25 Control panel 26 Mounting frame 27 Display unit 28 Operation unit 29 Alarm unit 30 Processing control unit 31 Unsoundness prediction information acquisition unit 32 Unsoundness parameter detection unit 33 State detection parameter acquisition unit 34 Unsoundness parameter monitoring unit 35 Notification Unit 41 Consumables unsoundness information acquisition unit 42 Real-time consumables state acquisition unit 43 Degradation state derivation unit 44 First degradation state derivation unit 45 Second degradation state derivation unit 51 Machine unsoundness information acquisition unit 52 Real-time machine state acquisition unit 53 Predicted maintenance inspection timing derivation unit 54 First timing derivation unit 55 Second timing derivation unit 61 Machine unsoundness information acquisition unit 62 Real-time machine condition acquisition unit 63 Predicted maintenance inspection timing derivation unit 64 First timing derivation unit 65 Second timing Outlet part 100 User B Bag Bm Mouth part Bs Side part Bb Bottom part C Contents Sb Sealing part

Claims (12)

An unsoundness prediction device for predicting the occurrence of unsoundness in a bag processing system,
Unsoundness prediction for obtaining unsoundness prediction information indicating a probability of occurrence of the unsoundness in the future of the bag processing system based on prediction input information indicating information regarding the past unsoundness of the bag processing system. an information acquisition unit;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and, from among the plurality of state detection parameters, an unsoundness parameter indicating a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unsound operating state. a gender parameter detector;
a state detection parameter acquisition unit that continuously acquires one or more state detection parameters including the unsoundness parameter;
The unsoundness parameter continuously acquired by the state detection parameter acquiring unit, and the past unsoundness acquired while the bag processing system is in the transition operating state or the unsoundness operating state. an unsoundness parameter monitoring unit that monitors whether an unsoundness parameter difference, which is the difference between the soundness parameter and the soundness parameter, is smaller than a second reference difference;
at least one of information about the unsoundness parameter and information about the unsoundness when the unsoundness parameter monitoring unit detects that the unsoundness parameter difference is smaller than the second reference difference; In an unsoundness prediction device comprising a notification unit that notifies the user of one,
When the unsoundness prediction information indicates that the probability is low in light of the unsoundness criteria, the unsoundness parameter detection unit does not find the unsoundness parameter,
The unsoundness includes unsoundness of consumables included in the bag processing system,
the predictive input information includes information about the consumables and information about past unhealthy conditions of the consumables;
The unsoundness prediction information includes information indicating the probability of occurrence of future unsoundness of the consumables obtained based on information on the consumables and information on past unsoundness of the consumables,
unsoundness color information indicating the color of the consumables when the consumables were unsound in the past; a consumables unsoundness information acquisition unit for acquiring unsoundness occurrence operating time information indicating the operating time of the bag processing system until
real-time environmental information indicating the current environment in which the bag processing system is placed; real-time color information indicating the current color of the consumable; a real-time consumable condition acquisition unit that continuously acquires real-time operating time information indicating the operating time of the bag processing system;
based on at least one of a comparison result of the real-time color information and the unsoundness color information and a comparison result of the real-time operating time information and the unsoundness occurrence operating time information; At least one of deterioration reference information indicating the degree of deterioration and replacement prediction timing reference information indicating the next replacement timing of the consumable is derived, and is derived based on the real-time environment information and the deterioration reference information. corrected deterioration information indicating the degree of deterioration of the consumable; and corrected replacement prediction timing information indicating the prediction timing of the next replacement of the consumable, which is derived based on the real-time environmental information and the replacement prediction timing reference information. and a deterioration state derivation unit that obtains at least one of
The unsoundness prediction device, wherein the notification unit notifies the user of at least one of the corrected deterioration information and the corrected replacement prediction time information . The unsoundness prediction device according to claim 1 , wherein the consumables are rubber or resin parts. 2. The unsoundness prediction device according to claim 1 , wherein said consumables are parts that are energized. An unsoundness prediction device for predicting the occurrence of unsoundness in a bag processing system,
Unsoundness prediction for obtaining unsoundness prediction information indicating a probability of occurrence of the unsoundness in the future of the bag processing system based on prediction input information indicating information regarding the past unsoundness of the bag processing system. an information acquisition unit;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and, from among the plurality of state detection parameters, an unsoundness parameter indicating a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unsound operating state. a gender parameter detector;
a state detection parameter acquisition unit that continuously acquires one or more state detection parameters including the unsoundness parameter;
The unsoundness parameter continuously acquired by the state detection parameter acquiring unit, and the past unsoundness acquired while the bag processing system is in the transition operating state or the unsoundness operating state. an unsoundness parameter monitoring unit that monitors whether an unsoundness parameter difference, which is the difference between the soundness parameter and the soundness parameter, is smaller than a second reference difference;
at least one of information about the unsoundness parameter and information about the unsoundness when the unsoundness parameter monitoring unit detects that the unsoundness parameter difference is smaller than the second reference difference; In an unsoundness prediction device comprising a notification unit that notifies the user of one,
When the unsoundness prediction information indicates that the probability is low in light of the unsoundness criteria, the unsoundness parameter detection unit does not find the unsoundness parameter,
the unsoundness includes a malfunction of the bag processing system;
The predictive input information includes information about the past malfunction,
The unsoundness predictive information includes information indicating the probability of occurrence of the malfunction in the future obtained based on the information on the malfunction in the past,
Unhealthy mechanical sound information indicating the mechanical sound of the bag processing system at the time of the malfunction in the past, and the period from when maintenance and inspection were performed to normalize the mechanical sound in the past to when the malfunction occurred a machine unsoundness information acquisition unit for acquiring unsoundness occurrence maintenance inspection period information indicating the period of
real-time environmental information indicating the current environment in which the bag processing system is placed; real-time machine sound information indicating the current machine sounds of the bag processing system; and last-minute maintenance and inspection to normalize the machine sounds. a real-time machine condition acquisition unit that continuously acquires real-time maintenance inspection period information indicating the period from the time the maintenance was performed to the present;
Based on at least one of a comparison result of the real-time mechanical sound information and the unsoundness mechanical sound information, and a comparison result of the real-time maintenance and inspection period information and the unsoundness occurrence maintenance and inspection period information, deriving maintenance and inspection prediction timing reference information indicating the prediction timing of the next maintenance and inspection for normalizing the mechanical sound; a maintenance and inspection prediction timing derivation unit for obtaining corrected maintenance and inspection prediction timing information indicating the prediction timing of the next maintenance and inspection for
The notification unit is an unsoundness prediction device that notifies the user of the correction maintenance inspection prediction time information. An unsoundness prediction device for predicting the occurrence of unsoundness in a bag processing system,
Unsoundness prediction for obtaining unsoundness prediction information indicating a probability of occurrence of the unsoundness in the future of the bag processing system based on prediction input information indicating information regarding the past unsoundness of the bag processing system. an information acquisition unit;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and, from among the plurality of state detection parameters, an unsoundness parameter indicating a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unsound operating state. a gender parameter detector;
a state detection parameter acquisition unit that continuously acquires one or more state detection parameters including the unsoundness parameter;
The unsoundness parameter continuously acquired by the state detection parameter acquiring unit, and the past unsoundness acquired while the bag processing system is in the transition operating state or the unsoundness operating state. an unsoundness parameter monitoring unit that monitors whether an unsoundness parameter difference, which is the difference between the soundness parameter and the soundness parameter, is smaller than a second reference difference;
at least one of information about the unsoundness parameter and information about the unsoundness when the unsoundness parameter monitoring unit detects that the unsoundness parameter difference is smaller than the second reference difference; and a notification unit that notifies the user of one,
the unsoundness includes a malfunction of the bag processing system;
The predictive input information includes information about the past malfunction,
The unsoundness predictive information includes information indicating the probability of occurrence of the malfunction in the future obtained based on the information on the malfunction in the past,
unsoundness load information indicating the load of the motor of the bag processing system when the malfunction occurred in the past; a machine unsoundness information acquisition unit for acquiring unsoundness occurrence maintenance inspection period information indicating a period until occurrence;
real-time environmental information indicating the current environment in which the bag handling system is located; real-time load information indicating the current load on the motor; and since the last maintenance check to reduce the load on the motor. a real-time machine condition acquisition unit that continuously acquires real-time maintenance and inspection period information indicating the period up to the present;
based on at least one of a comparison result of the real-time load information and the unsoundness load information and a comparison result of the real-time maintenance and inspection period information and the unsoundness occurrence maintenance and inspection period information; deriving maintenance and inspection prediction timing reference information indicating the next maintenance and inspection prediction timing for reducing the load of the motor, and reducing the load of the motor derived based on the real-time environmental information and the maintenance and inspection prediction timing reference information a maintenance and inspection prediction timing derivation unit that obtains corrected maintenance and inspection prediction timing information indicating the prediction timing of the next maintenance and inspection for
The notification unit is an unsoundness prediction device that notifies the user of the correction maintenance inspection prediction time information. An unsoundness prediction method for predicting the occurrence of unsoundness in a bag processing system, comprising:
obtaining predictive unsoundness information indicating a probability of occurrence of the unsoundness in the future of the bag processing system based on predictive input information indicating information about the past unsoundness of the bag processing system;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and finding, from the plurality of state detection parameters, an unhealthy parameter that exhibits a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unhealthy operating state. ,
continuously obtaining one or more condition detection parameters including the unhealthy parameters;
between the continuously obtained unsoundness parameter and the past unsoundness parameter obtained while the bag processing system is in the transitional operating state or the unsound operating state; monitoring whether the difference, the unhealthy parameter difference, is less than the second criterion difference;
informing a user of at least one of the unsoundness parameter information and the unsoundness information when the unsoundness parameter difference is detected to be smaller than the second reference difference; In an unsoundness prediction method including ,
not finding the unsoundness parameter if the unsoundness prediction information indicates that the probability is low in light of the unsoundness criteria;
The unsoundness includes unsoundness of consumables included in the bag processing system,
the predictive input information includes information about the consumables and information about past unhealthy conditions of the consumables;
The unsoundness prediction information includes information indicating the probability of occurrence of future unsoundness of the consumables obtained based on information on the consumables and information on past unsoundness of the consumables,
unsoundness color information indicating the color of the consumables when the consumables were unsound in the past; obtaining unsoundness occurrence operating time information indicating the operating time of the bag processing system until the
real-time environmental information indicating the current environment in which the bag processing system is placed; real-time color information indicating the current color of the consumable; continuously obtaining real-time uptime information indicating the uptime of the bag processing system;
based on at least one of a comparison result of the real-time color information and the unsoundness color information and a comparison result of the real-time operating time information and the unsoundness occurrence operating time information; At least one of deterioration reference information indicating the degree of deterioration and replacement prediction timing reference information indicating the next replacement timing of the consumable is derived, and is derived based on the real-time environment information and the deterioration reference information. Corrected deterioration information indicating the degree of deterioration of the consumable; and Corrected replacement prediction time information indicating the prediction time of the next replacement of the consumable, which is derived based on the real-time environmental information and the replacement prediction time reference information. and obtaining at least one of
An unsoundness prediction method , wherein at least one of the corrected deterioration information and the corrected replacement prediction time information is notified to the user . An unsoundness prediction method for predicting the occurrence of unsoundness in a bag processing system, comprising:
obtaining predictive unsoundness information indicating a probability of occurrence of the unsoundness in the future of the bag processing system based on predictive input information indicating information about the past unsoundness of the bag processing system;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; and comparing said plurality of past state detection parameters obtained while said bag processing system is in a transitional operating state in which said bag processing system transitions from said normal operating state to an unsound operating state or in said unsound operating state. and finding, from the plurality of state detection parameters, an unsoundness parameter that exhibits a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unsound operating state. ,
continuously obtaining one or more condition detection parameters including the unhealthy parameters;
between the continuously obtained unsoundness parameter and the past unsoundness parameter obtained while the bag processing system is in the transitional operating state or the unsound operating state; monitoring whether the difference, the unhealthy parameter difference, is less than the second criterion difference;
informing a user of at least one of the unsoundness parameter information and the unsoundness information when the unsoundness parameter difference is detected to be smaller than the second reference difference; In the method of predicting unsoundness, comprising:
not finding the unsoundness parameter if the unsoundness prediction information indicates that the probability is low in light of the unsoundness criteria;
the unsoundness includes a malfunction of the bag processing system;
The predictive input information includes information about the past malfunction,
The unsoundness predictive information includes information indicating the probability of occurrence of the malfunction in the future obtained based on the information on the malfunction in the past,
Unhealthy mechanical sound information indicating the mechanical sound of the bag processing system at the time of the malfunction in the past, and the period from when maintenance and inspection were performed to normalize the mechanical sound in the past to when the malfunction occurred obtaining unhealthy occurrence maintenance inspection period information indicating a period of
real-time environmental information indicating the current environment in which the bag processing system is placed; real-time machine sound information indicating the current machine sounds of the bag processing system; and last-minute maintenance and inspection to normalize the machine sounds. continuously obtaining real-time maintenance inspection period information indicating the period from when the
Based on at least one of a comparison result of the real-time mechanical sound information and the unsoundness mechanical sound information, and a comparison result of the real-time maintenance and inspection period information and the unsoundness occurrence maintenance and inspection period information, deriving maintenance and inspection prediction timing reference information indicating the prediction timing of the next maintenance and inspection for normalizing the mechanical sound; obtaining corrective maintenance inspection prediction timing information indicating the prediction timing of the next maintenance inspection for
An unsoundness prediction method, wherein the user is notified of the corrected maintenance inspection prediction time information. An unsoundness prediction method for predicting the occurrence of unsoundness in a bag processing system, comprising:
obtaining predictive unsoundness information indicating a probability of occurrence of the unsoundness in the future of the bag processing system based on predictive input information indicating information about the past unsoundness of the bag processing system;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and finding, from the plurality of state detection parameters, an unhealthy parameter that exhibits a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unhealthy operating state. ,
continuously obtaining one or more condition detection parameters including the unhealthy parameters;
between the continuously obtained unsoundness parameter and the past unsoundness parameter obtained while the bag processing system is in the transitional operating state or the unsound operating state; monitoring whether the difference, the unhealthy parameter difference, is less than the second criterion difference;
informing a user of at least one of the unsoundness parameter information and the unsoundness information when the unsoundness parameter difference is detected to be smaller than the second reference difference; In an unsoundness prediction method including,
the unsoundness includes a malfunction of the bag processing system;
The predictive input information includes information about the past malfunction,
The unsoundness predictive information includes information indicating the probability of occurrence of the malfunction in the future obtained based on the information on the malfunction in the past,
unsoundness load information indicating the load of the motor of the bag processing system when the malfunction occurred in the past; obtaining unhealthy occurrence maintenance inspection period information indicating a period to occurrence;
real-time environmental information indicating the current environment in which the bag handling system is located; real-time load information indicating the current load on the motor; and since the last maintenance check to reduce the load on the motor. continuously obtaining real-time maintenance interval information indicating a period to date;
based on at least one of a comparison result of the real-time load information and the unsoundness load information and a comparison result of the real-time maintenance and inspection period information and the unsoundness occurrence maintenance and inspection period information; deriving maintenance and inspection prediction timing reference information indicating the next maintenance and inspection prediction timing for reducing the load of the motor, and reducing the load of the motor derived based on the real-time environmental information and the maintenance and inspection prediction timing reference information obtaining corrective maintenance inspection prediction timing information indicating the prediction timing of the next maintenance inspection for
An unsoundness prediction method, wherein the user is notified of the corrected maintenance inspection prediction time information. to the computer,
a procedure for obtaining predictive unsoundness information indicating a probability of occurrence of said unsoundness in the future of said bag processing system based on predictive input information indicating information regarding past unsoundness of said bag processing system;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and finding, from among the plurality of state detection parameters, an unsoundness parameter indicating a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unsound operating state; ,
continuously obtaining one or more condition detection parameters including the unhealthy parameters;
between the continuously obtained unsoundness parameter and the past unsoundness parameter obtained while the bag processing system is in the transitional operating state or the unsound operating state; a procedure for monitoring whether the difference, the unhealthy parameter difference, is less than the second reference difference;
a step of informing a user of at least one of the information on the unsoundness parameter and the information on the unsoundness when it is detected that the unsoundness parameter difference is smaller than the second reference difference; , is a program for executing
not finding the unsoundness parameter if the unsoundness prediction information indicates that the probability is low in light of the unsoundness criteria;
The unsoundness includes unsoundness of consumables included in the bag processing system,
the predictive input information includes information about the consumables and information about past unhealthy conditions of the consumables;
The unsoundness prediction information includes information indicating the probability of occurrence of future unsoundness of the consumables obtained based on information on the consumables and information on past unsoundness of the consumables,
unsoundness color information indicating the color of the consumables when the consumables were unsound in the past; a consumables unsoundness information acquisition unit for acquiring unsoundness occurrence operating time information indicating the operating time of the bag processing system until
real-time environmental information indicating the current environment in which the bag processing system is placed; real-time color information indicating the current color of the consumable; a real-time consumable condition acquisition unit that continuously acquires real-time operating time information indicating the operating time of the bag processing system;
based on at least one of a comparison result of the real-time color information and the unsoundness color information and a comparison result of the real-time operating time information and the unsoundness occurrence operating time information; At least one of deterioration reference information indicating the degree of deterioration and replacement prediction timing reference information indicating the next replacement timing of the consumable is derived, and is derived based on the real-time environment information and the deterioration reference information. Corrected deterioration information indicating the degree of deterioration of the consumable; and Corrected replacement prediction time information indicating the prediction time of the next replacement of the consumable, which is derived based on the real-time environmental information and the replacement prediction time reference information. and a deterioration state derivation unit that obtains at least one of
A program for notifying the user of at least one of the corrected deterioration information and the corrected replacement prediction time information . to the computer,
a procedure for obtaining predictive unsoundness information indicating a probability of occurrence of said unsoundness in the future of said bag processing system based on predictive input information indicating information regarding past unsoundness of said bag processing system;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and finding, from among the plurality of state detection parameters, an unsoundness parameter indicating a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unsound operating state; ,
continuously obtaining one or more condition detection parameters including the unhealthy parameters;
between the continuously obtained unsoundness parameter and the past unsoundness parameter obtained while the bag processing system is in the transitional operating state or the unsound operating state; a procedure for monitoring whether the difference, the unhealthy parameter difference, is less than the second reference difference;
a step of informing a user of at least one of the information on the unsoundness parameter and the information on the unsoundness when it is detected that the unsoundness parameter difference is smaller than the second reference difference; , in the program to run
not finding the unsoundness parameter if the unsoundness prediction information indicates that the probability is low in light of the unsoundness criteria;
the unsoundness includes a malfunction of the bag processing system;
The predictive input information includes information about the past malfunction,
The unsoundness predictive information includes information indicating the probability of occurrence of the malfunction in the future obtained based on the information on the malfunction in the past,
Unhealthy mechanical sound information indicating the mechanical sound of the bag processing system at the time of the malfunction in the past, and the period from when maintenance and inspection were performed to normalize the mechanical sound in the past to when the malfunction occurred a procedure for obtaining unsoundness occurrence maintenance inspection period information indicating the period of
real-time environmental information indicating the current environment in which the bag processing system is placed; real-time machine sound information indicating the current machine sounds of the bag processing system; and last-minute maintenance and inspection to normalize the machine sounds. A procedure for continuously acquiring real-time maintenance inspection period information indicating the period from when the is performed to the present,
Based on at least one of a comparison result of the real-time mechanical sound information and the unsoundness mechanical sound information, and a comparison result of the real-time maintenance and inspection period information and the unsoundness occurrence maintenance and inspection period information, deriving maintenance and inspection prediction timing reference information indicating the prediction timing of the next maintenance and inspection for normalizing the mechanical sound; causing the computer to execute a procedure for obtaining correction maintenance and inspection prediction time information indicating the prediction time of the next maintenance and inspection for
A program for notifying the user of the corrective maintenance inspection prediction time information. to the computer,
a procedure for obtaining predictive unsoundness information indicating a probability of occurrence of said unsoundness in the future of said bag processing system based on predictive input information indicating information regarding past unsoundness of said bag processing system;
a plurality of past condition detection parameters obtained while the bag processing system was in normal operation when the predictive unsoundness information indicates that the probability is high in light of unsoundness criteria; , comparing the plurality of past state detection parameters obtained while the bag processing system is in a transitional operating state in which the bag processing system transitions from the normal operating state to the unsound operating state or in the unsound operating state; and finding, from among the plurality of state detection parameters, an unsoundness parameter indicating a difference greater than a first reference difference between the normal operating state and the transitional operating state or the unsound operating state; ,
continuously obtaining one or more condition detection parameters including the unhealthy parameters;
between the continuously obtained unsoundness parameter and the past unsoundness parameter obtained while the bag processing system is in the transitional operating state or the unsound operating state; a procedure for monitoring whether the difference, the unhealthy parameter difference, is less than the second reference difference;
a step of informing a user of at least one of the information on the unsoundness parameter and the information on the unsoundness when it is detected that the unsoundness parameter difference is smaller than the second reference difference; , in the program to run
the unsoundness includes a malfunction of the bag processing system;
The predictive input information includes information about the past malfunction,
The unsoundness predictive information includes information indicating the probability of occurrence of the malfunction in the future obtained based on the information on the malfunction in the past,
unsoundness load information indicating the load of the motor of the bag processing system when the malfunction occurred in the past; a procedure for obtaining unsoundness occurrence maintenance inspection period information indicating a period until occurrence;
real-time environmental information indicating the current environment in which the bag handling system is located; real-time load information indicating the current load on the motor; and since the last maintenance check to reduce the load on the motor. a procedure for continuously acquiring real-time maintenance inspection period information indicating the period up to the present;
based on at least one of a comparison result of the real-time load information and the unsoundness load information and a comparison result of the real-time maintenance and inspection period information and the unsoundness occurrence maintenance and inspection period information; deriving maintenance and inspection prediction timing reference information indicating the next maintenance and inspection prediction timing for reducing the load of the motor, and reducing the load of the motor derived based on the real-time environmental information and the maintenance and inspection prediction timing reference information and a procedure for obtaining correction maintenance inspection forecast time information indicating the forecast time of the next maintenance inspection for
A program for notifying the user of the corrective maintenance inspection prediction time information. A computer-readable recording medium recording the program according to any one of claims 9 to 11 .

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