Detection system, shredder management system, and detection method

Abstract

To provide a detection system, a shredder management system and a detection method capable of performing symptom detection of a failure of a shredder with higher accuracy.SOLUTION: A detection system performs symptom detection of a failure of a shredder. The shredder includes a rotary blade and a motor. The rotary blade shreds a sheet material. The motor rotates the rotary blade. The detection system includes an acquisition part, and a detection part. The acquisition part acquires peak value information on a peak value in a current value showing the magnitude of current to be supplied to the motor when the sheet material is shredded. The detection part performs the symptom detection on the basis of a change in the peak value information due to the use of the shredder. The peak value information is a corrected peak value obtained by correcting the peak value on the basis of the current value after the peak.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a detection system, a shredder management system, and a detection method.

Background Art

[0002] Japanese Patent Laid-Open No. 2014-178923 (Patent Document 1) discloses a shredder management system. This shredder management system includes a shredder and a management device. The shredder includes a shredding mechanism that shreds paper or the like and a drive mechanism for the shredding mechanism. The magnitude of the drive current of the drive mechanism during paper shredding increases in accordance with the service life of the shredder. In the management device, for example, the necessity of maintenance or repair of the shredder is determined based on the magnitude of the drive current of the drive mechanism during paper shredding (see Patent Document 1).

Prior Art Literature

Patent Literature

[0003]

Patent Document 1

Summary of the Invention

Problem to be Solved by the Invention

[0004] The magnitude of the drive current of the drive mechanism during paper shredding also changes depending on, for example, the number of sheets of paper shredded simultaneously by the shredding mechanism. That is, the magnitude of the drive current of the drive mechanism during paper shredding also changes due to factors other than deterioration of the shredder. Therefore, merely referring to the magnitude of the drive current of the drive mechanism during paper shredding does not necessarily enable highly accurate detection of signs of a shredder failure.

[0005] The present invention has been made to solve such problems, and an object of the present invention is to provide a detection system, a shredder management system, and a detection method that can detect signs of a shredder failure with higher accuracy. [Means for solving the problem]

[0006] A detection system according to a certain aspect of the present invention performs predictive detection of shredder failure. The shredder comprises a rotating blade and a motor. The rotating blade shreds sheet material. The motor rotates the rotating blade. The detection system comprises an acquisition unit and a detection unit. The acquisition unit acquires peak value information relating to the peak value of the current value, which indicates the magnitude of the current supplied to the motor when shredding sheet material. The detection unit performs the predictive detection based on the change in peak value information accompanying the use of the shredder. The peak value information is a corrected peak value obtained by correcting the peak value based on the current value after the peak.

[0007] The current value after the peak changes depending on the number and thickness of the sheets being shredded by the rotating blades. In this detection system, a corrected peak value, which is adjusted based on the current value after the peak, is used to predict shredder failures. Therefore, this detection system takes into account the influence of the number and thickness of the sheets being shredded by the rotating blades on the peak value, and performs predictive detection based on the peak value, thereby enabling more accurate prediction of shredder failures.

[0008] In the above detection system, the detection unit may calculate a moving average of the peak value information and perform the above-mentioned predictive detection based on the change in the moving average.

[0009] For example, consider a situation where multiple sheets of material are fastened together with staples. In this case, when the multiple sheets are fed into a shredder, the staples cause the current value to momentarily become very large. If shredder failure prediction is performed based on a current value that has momentarily increased due to factors other than an impending shredder failure, it will lead to a decrease in the accuracy of the prediction. In this detection system, shredder failure prediction is performed based on the change in the moving average value of peak value information, so even if the current value increases momentarily due to factors other than an impending shredder failure, the effect is suppressed. Therefore, this detection system can perform shredder failure prediction with higher accuracy.

[0010] The above detection system further includes a storage unit for storing peak value information. The detection unit determines whether each of the multiple peak value pieces stored in the storage unit is an abnormal value, calculates a moving average value based on the peak value pieces other than the abnormal values, and the abnormal values ​​may be values ​​that are more than a predetermined value away from the average value of the multiple peak value pieces.

[0011] In this detection system, a moving average is calculated based on peak value information other than abnormal values, and the system uses this moving average to predict shredder failures. Therefore, even if the current value increases instantaneously due to factors other than shredder failures, the impact is suppressed. As a result, this detection system can predict shredder failures with higher accuracy.

[0012] The above detection system further includes a storage unit for storing peak value information. The detection unit determines whether each of the multiple peak value pieces stored in the storage unit is an abnormal value, and performs the above-mentioned predictive detection based on the frequency of occurrence of abnormal values ​​in the multiple peak value pieces. The abnormal value may be a value that is more than a predetermined value away from the average value of the multiple peak value pieces.

[0013] For example, if a part of the gear that rotates the blade or the blade itself breaks, the peak value of the current is likely to become abnormal. This detection system allows for more accurate prediction of shredder failures because it detects signs of failure based on the frequency of abnormal values.

[0014] The above detection system further includes a control unit that controls the motor, and the control unit may rotate the motor in a first direction when shredding the sheet material, while also rotating the motor in a second direction opposite to the first direction at a predetermined timing.

[0015] For example, if paper dust adheres to the rotating blades, the load on the motor increases during sheet shredding, causing the peak current supplied to the motor to rise regardless of any signs of shredder failure. This rise in the peak current, regardless of any signs of shredder failure, reduces the accuracy of failure detection. In this detection system, the rotating blades rotate in reverse (rotate in a second direction) at a predetermined timing. Therefore, with this detection system, the reverse rotation of the blades shakes off the paper dust, thus suppressing the rise in the peak current, which is unrelated to any signs of shredder failure. As a result, this detection system can detect shredder failures with higher accuracy.

[0016] The above detection system may further include a notification unit that notifies the shredder user when a warning sign is detected by the detection unit.

[0017] This detection system notifies the user when signs of failure are detected, allowing the user to be informed of the need for shredder maintenance before a shredder malfunction occurs.

[0018] A shredder management system according to another aspect of the present invention comprises a shredder and a server configured to communicate with the shredder. The shredder comprises the detection system, a rotating blade, a motor, and a transmitting unit that transmits information to the server. The transmitting unit transmits information to the server indicating the detection result by the detection unit.

[0019] A shredder management system according to another aspect of the present invention comprises a shredder and a server configured to communicate with the shredder. The server comprises the detection system described above. The shredder comprises a rotating blade, a motor, and a transmitting unit that transmits information about the current value described above to the server.

[0020] Another aspect of the present invention is a detection method for detecting signs of failure in a shredder. The shredder comprises a rotating blade and a motor. The rotating blade shreds sheet material. The motor rotates the rotating blade. The detection method includes the steps of acquiring peak value information relating to the peak value of the current value indicating the magnitude of the current supplied to the motor when shredding sheet material, and performing the above-mentioned sign detection based on changes in the peak value information associated with the use of the shredder. The peak value information is a corrected peak value obtained by correcting the peak value based on the current value after the peak.

[0021] This detection method takes into account the influence of factors such as the number and thickness of sheets being shredded by the rotating blades on the peak value, and then performs predictive detection based on the peak value, thereby enabling more accurate prediction of shredder failures. [Effects of the Invention]

[0022] According to the present invention, it is possible to provide a detection system, a shredder management system, and a detection method that can detect signs of shredder failure with higher accuracy. [Brief explanation of the drawing]

[0023] [Figure 1] This diagram schematically shows the general configuration of the shredder management system. [Figure 2] Fig. 1 is a diagram schematically showing the schematic configuration of a shredder. [Figure 3] Fig. 2 is a diagram schematically showing the schematic configuration of a server. [Figure 4] Fig. 3 is a flowchart showing a data collection operation in the shredder. [Figure 5] Fig. 4 is a diagram schematically showing an example of a management table for managing current value information. [Figure 6] Fig. 5 is a flowchart showing a data transmission operation from the shredder to the server. [Figure 7] Fig. 6 is a flowchart showing an operation of detecting a sign of a failure of the shredder. [Figure 8] Fig. 7 is a diagram schematically showing a current value waveform formed by plotting a plurality of pieces of current value information. [Figure 9] Fig. 8 is a flowchart showing the processing content in step S300 of Fig. 7. [Figure 10] Fig. 9 is a flowchart showing the processing content in step S310 of Fig. 7. [Figure 11] Fig. 10 is a flowchart showing an automatic reverse rotation operation in the shredder. [Figure 12] Fig. 11 is a diagram schematically showing the schematic configuration of a shredder according to Embodiment 2. [Figure 13] Fig. 12 is a flowchart showing a failure sign detection operation in a shredder management system according to Embodiment 2. [Figure 14] Fig. 13 is a flowchart showing a failure sign detection operation of a shredder in Embodiment 3. [Figure 15] Fig. 14 is a diagram showing how the current value detected by a current sensor changes in accordance with the usage status of the shredder. [Figure 16] Fig. 15 is a flowchart showing an operation of identifying a defective part of a shredder in Embodiment 4. [Figure 17] Fig. 16 is a diagram schematically showing an example of a waveform with undulation. [Figure 18]This figure schematically shows the general configuration of a shredder according to Embodiment 5. [Figure 19] This is a flowchart showing the fault prediction detection operation in Embodiment 5. [Figure 20] This is a schematic perspective view showing the external configuration of the shredder. [Figure 21] This diagram schematically shows a portion of the interior of the main body from a first direction. [Figure 22] This diagram schematically shows a portion of the interior of the main body from a second direction. [Figure 23] This is a schematic diagram showing the underside of the lid. [Figure 24] This diagram schematically shows the internal structure of the lid attached to the main body. [Figure 25] This is a perspective view including a portion of the front of the shredder. [Figure 26] This is a perspective view including part of the interior of the door. [Figure 27] This is a perspective view that includes part of the interior of the door section, but omits the front of the door section. [Modes for carrying out the invention]

[0024] Embodiments of the present invention will be described in detail below with reference to the drawings. In the drawings, identical or corresponding parts are denoted by the same reference numerals, and their descriptions will not be repeated.

[0025] [1. Embodiment 1] <1-1. Overview of the Shredder Management System> Figure 1 is a schematic diagram showing the general configuration of a shredder management system 10 according to this embodiment 1. As shown in Figure 1, the shredder management system 10 includes a shredder 100, a server 200, and a terminal 300. The terminal 300 is configured as, for example, a smartphone, a tablet, or a PC (Personal Computer).

[0026] In the shredder 100, for example, paper (an example of a sheet material) is shredded by a rotating blade. The rotating blade rotates using power received from a motor. In the shredder 100, information indicating the magnitude of the current supplied to the motor (hereinafter also referred to as "current value information") is stored. As the shredder 100 deteriorates, the magnitude of the current supplied to the motor when shredding paper increases. The stored current value information is transmitted periodically from the shredder 100 to the server 200, for example.

[0027] In the server 200, based on the current value information received from the shredder 100, signs of failure in the shredder 100 are detected. If signs of failure are detected, for example, a support request is sent from the server 200 to the support staff's terminal 300. The support staff who receive the support request then, for example, inquires with the user of the shredder 100 whether maintenance is required. In this way, the shredder management system 10 makes it possible to prevent failures in the shredder 100. The shredder management system 10 will be described in detail below.

[0028] <1-2. Structure> (1-2-1. Shredder Configuration) Figure 2 is a schematic diagram showing the general configuration of the shredder 100. As shown in Figure 2, the shredder 100 includes a motor 170, a plurality of gears 180, a plurality of rotating blades 190, a power supply IC (Integrated Circuit) 140, a current sensor 150, a temperature sensor 160, a control unit 110, a storage unit 120, and a communication I / F (interface) 130.

[0029] The motor 170 is, for example, an AC motor. The motor 170 rotates by receiving power supplied from an external AC power source (hereinafter also referred to as the "external power source") to the shredder 100. The rotation of the motor 170 is transmitted to the rotating blade 190 via a plurality of gears 180. As the rotating blade 190 rotates in accordance with the rotation of the motor 170, the sheet material S1 fed into the shredder 100 is shredded. The type of shredding performed on the sheet material S1 by the rotating blade 190 is not particularly limited. That is, the rotating blade 190 may, for example, perform a straight cut, a cross cut, or a micro cut on the sheet material S1.

[0030] The power supply IC 140 supplies power from an external power source to each component within the shredder 100. For example, the power supply IC 140 converts AC power supplied from the external power source to DC power and converts the voltage supplied from the external power source. The power supply IC 140 also supplies AC power to the motor 170, for example.

[0031] The current sensor 150 detects the magnitude (current value) of the current supplied from the power supply IC 140 to the motor 170. The current value information, indicating the current value detected by the current sensor 150, is output to the control unit 110. The temperature sensor 160 detects the temperature of the motor 170. The temperature information, indicating the temperature detected by the temperature sensor 160, is output to the control unit 110.

[0032] The control unit 110 includes a CPU (Central Processing Unit), RAM (Random Access Memory), ROM (Read Only Memory), etc. (not shown), and controls each component according to information processing. The control unit 110 also includes a timer 115. By using the timer 115, the control unit 110 can, for example, recognize the energizing time of the motor 170.

[0033] The storage unit 120 is, for example, an auxiliary storage device such as a hard disk drive or a solid-state drive. The storage unit 120 stores, for example, a control program 121. Various functions of the shredder 100 are realized when the control program 121 is executed by the control unit 110 (CPU).

[0034] The communication interface 130 communicates with the server 200 (Figure 1) via the internet. The communication interface 130 consists of, for example, a wired LAN (Local Area Network) module, a wireless LAN module, or a communication module compliant with a communication standard (cellular system) such as LTE (Long Term Evolution) or 5G.

[0035] (1-2-2. Server Configuration) Figure 3 is a schematic diagram showing the general configuration of server 200. In this embodiment, server 200 is implemented, for example, by a general-purpose computer. As shown in Figure 3, server 200 includes a control unit 210, a storage unit 220, and a communication interface 230. Each component is electrically connected via a bus.

[0036] The control unit 210 includes a CPU 211, RAM 212, ROM 213, etc., and is configured to control each component according to information processing.

[0037] The memory unit 220 is, for example, an auxiliary storage device such as a hard disk drive or a solid-state drive. The memory unit 220 stores, for example, a control program 221. Various functions in the server 200 are realized when the control program 221 is executed by the control unit 210 (CPU).

[0038] The communication interface 230 communicates with the shredder 100 and terminal 300 via the internet. The communication interface 230 consists of, for example, a wired LAN module, a wireless LAN module, or a communication module compliant with a communication standard (cellular system) such as LTE or 5G.

[0039] <1-3. Operation> (1-3-1. Data collection operation in a shredder) In the shredder 100, various data indicating the operating status of the shredder 100 during the shredding of the sheet material S1 are collected. For example, in the shredder 100, current value information during the shredding of the sheet material S1 is collected, as described above.

[0040] Figure 4 is a flowchart illustrating the data collection operation in the shredder 100. The processes shown in this flowchart are executed by the control unit 110 of the shredder 100.

[0041] Referring to Figure 4, the control unit 110 determines whether or not the shredding of the sheet material S1 by the rotating blade 190 has started (step S100). If it is determined that the shredding of the sheet material S1 has not started (NO in step S100), the control unit 110 waits until the shredding of the sheet material S1 has started.

[0042] On the other hand, when it is determined that the shredding of the sheet material S1 has started (YES in step S100), the control unit 110 stores the data collected from various sensors in the storage unit 120 (step S110). For example, the control unit 110 stores current value information obtained from the current sensor 150 and temperature information obtained from the temperature sensor 160 in the storage unit 120. In the storage unit 120, for example, a management table is stored that associates information regarding the acquisition time of various data with the various data.

[0043] Figure 5 is a schematic diagram showing an example of a management table D1 for managing current value information. As shown in Figure 5, in management table D1, the acquisition time of the current value information (t1, t2, t3, t4, t5...) is associated with the current value information (A1, A2, A3, A4, A5...). For example, management table D1 is stored in the storage unit 120.

[0044] Referring again to Figure 4, once the various data collected in step S110 are stored, the control unit 110 determines whether or not the shredding of the sheet material S1 by the rotating blade 190 is complete (step S120). If it is determined that the shredding of the sheet material S1 is not complete (NO in step S120), the control unit 110 continues the process of storing the data obtained from the various sensors in the storage unit 120.

[0045] On the other hand, when it is determined that the shredding of the sheet material S1 is complete (YES in step S120), the control unit 110 executes the process in step S100 again. Through this process, the shredder 100 collects various data indicating the operating status of the shredder 100 when the sheet material S1 is shredded.

[0046] (1-3-2. Data transmission operation from shredder to server) Figure 6 is a flowchart showing the data transmission operation from the shredder 100 to the server 200. The processes shown in the flowchart on the left are executed by the control unit 110 of the shredder 100, and the processes shown in the flowchart on the right are executed by the control unit 210 of the server 200.

[0047] Referring to the flowchart shown on the left side of Figure 6, the control unit 110 of the shredder 100 determines whether a predetermined time has arrived (step S200). The control unit 110 recognizes the current time, for example, by using a timer 115. One time or multiple time settings may be set as the predetermined time.

[0048] If it is determined that the predetermined time has not yet arrived (NO in step S200), the control unit 110 waits until the predetermined time arrives. On the other hand, if it is determined that the predetermined time has arrived (YES in step S200), the control unit 110 controls the communication interface 130 to send the current value information stored in the storage unit 120 to the server 200 (step S210). For example, all current value information managed in the management table D1 (Figure 5) that has not yet been sent to the server 200 is sent to the server 200.

[0049] Referring to the flowchart shown on the right side of Figure 6, the control unit 210 of the server 200 determines whether or not it has received current value information from the shredder 100 (step S250). If it is determined that current value information has not been received from the shredder 100 (NO in step S250), the control unit 210 waits until it receives current value information from the shredder 100.

[0050] On the other hand, if it is determined that current value information has been received from the shredder 100 (YES in step S250), the control unit 210 stores the received current value information in the storage unit 220 (step S260). Through this process, various data collected by the shredder 100 are transmitted to the server 200.

[0051] (1-3-3. Predictive failure detection operation) Figure 7 is a flowchart illustrating the failure prediction detection operation of the shredder 100. The process shown in this flowchart is executed by the control unit 210 of the server 200 after current value information is transmitted from the shredder 100 to the server 200. In the server 200, a failure of the shredder 100 is detected based on the change in peak value information generated from the current value information.

[0052] Referring to Figure 7, the control unit 210 acquires multiple peak value information based on the current value information stored in the memory unit 220 (step S300). Before explaining the peak value information, let's first explain the peak value of the current value.

[0053] Fig. 8 is a diagram schematically showing a current value waveform formed by plotting a plurality of pieces of current value information. Referring to Fig. 8, the horizontal axis represents time, and the vertical axis represents current value. Waveform W1 is, for example, a waveform when X1 sheets of sheet material S1 are shredded simultaneously. Waveform W2 is, for example, a waveform when X2 sheets (X2 < X1) of sheet material S1 are shredded simultaneously.

[0054] The peak value in waveform W1 is P1, and the peak value in waveform W2 is P2. The peak value in each waveform appears at the moment when the sheet material S1 rushes into the rotary blade 190. In each waveform, after the peak value appears, the current value enters a steady state at a value lower than the peak value. For example, in this example, the period between time t11 and t12 is a steady region.

[0055] The current value varies depending on the number, thickness, and other factors of the sheet material S1 to be shredded. For example, the current value of waveform W1 is larger than that of waveform W2 at each time. Since the number of shredded sheets is different, for example, it is difficult to determine the deterioration state of the shredder 100 by directly comparing the peak value P1 of waveform W1 and the peak value P2 of waveform W2. Therefore, in the server 200, the number of shredded sheets of the sheet material S1 by the rotary blade 190 is estimated from the current value in the steady region of each waveform. In the server 200, a correction coefficient for converting a peak value at an estimated number of shredded sheets (e.g., 5 sheets) into a peak value at a reference number of shredded sheets (e.g., 3 sheets) is prepared in advance. The correction coefficient is stored in the storage unit 220. In the server 200, the peak value at the reference number of shredded sheets is calculated by multiplying the peak value at the estimated number of shredded sheets by the correction coefficient. Such corrected peak value is the peak value information.

[0056] In the server 200, each of the plurality of acquired peak values is corrected as necessary. Through the correction, the preconditions (e.g., the number of shredded sheets) for each peak value are aligned, and a sign of failure of the shredder 100 is detected through comparison between the corrected peak values.

[0057] Figure 9 is a flowchart showing the processing details in step S300 of Figure 7. Referring to Figure 9, the control unit 210 obtains a peak value from multiple current value information stored in the storage unit 220 (step S400). The control unit 210 estimates the number of sheets to be shredded based on the current value after the peak (for example, the current value in the steady state), corrects the peak value as necessary, and generates peak value information (step S410).

[0058] The control unit 210 determines whether processing has been completed for all peak values ​​(step S420). If it is determined that processing has not been completed for all peak values ​​(NO in step S420), the control unit 210 repeats the process in steps S400-S410 until processing has been completed for all peak values. On the other hand, if it is determined that processing has been completed for all peak values ​​(YES in step S420), the process shown in this flowchart ends.

[0059] Referring again to Figure 7, when multiple peak value information is acquired in step S200, the control unit 210 extracts peak value information other than abnormal values ​​from the multiple peak value information (step S310). Next, the procedure for extracting peak value information other than abnormal values ​​will be described.

[0060] Figure 10 is a flowchart showing the processing details in step S310 of Figure 7. Referring to Figure 10, the control unit 210 calculates the average value of multiple peak value information (step S500). The control unit 210 determines whether the difference between one of the multiple peak value information and the average value is greater than or equal to a predetermined value (step S510).

[0061] If the difference between the peak value information and the average value is determined not to be greater than or equal to a predetermined value (NO in step S510), the control unit 210 determines that the peak value information is a normal value (step S520). On the other hand, if the difference between the peak value information and the average value is determined to be greater than or equal to a predetermined value (YES in step S510), the control unit 210 determines that the peak value information is an abnormal value (step S530).

[0062] The control unit 210 stores the peak value information and the determination result in the storage unit 220 in association (step S540). The control unit 210 determines whether the processing in steps S510-S540 has been completed for all peak value information (step S550). If it is determined that the processing in steps S510-S540 has not been completed for all peak value information (NO in step S550), the control unit 210 repeats the processing in steps S510-S540 until the processing in steps S510-S540 has been completed for all peak value information.

[0063] On the other hand, when it is determined that the processing in steps S510-S540 has been completed for all peak value information (YES in step S550), the control unit 210 extracts only the peak value information that has been determined to be a normal value from the multiple peak value information (step S560). This completes the processing shown in this flowchart.

[0064] Referring again to Figure 7, if peak value information other than abnormal values ​​is extracted in step S310, the control unit 210 calculates a moving average of the extracted peak value information (step S320). The control unit 210 determines whether the amount of change in the calculated moving average is greater than or equal to a predetermined value (step S330). For example, the control unit 210 determines whether the difference between the moving average immediately after the introduction of the shredder 100 and the current moving average is greater than or equal to a predetermined value. Also, for example, the control unit 210 determines whether the rate of increase of the current moving average relative to the moving average immediately after the introduction of the shredder 100 is greater than or equal to a predetermined value.

[0065] If the change in the calculated moving average value is determined to be less than or equal to a predetermined value (NO in step S330), the control unit 210 determines that the shredder 100 is functioning normally (no signs of failure) (step S340). This completes the process shown in this flowchart.

[0066] On the other hand, in step S330, if it is determined that the change in the calculated moving average value is greater than or equal to a predetermined value (YES in step S330), the control unit 210 determines that the shredder 100 is deteriorating and shows signs of impending failure (step S350). Subsequently, the control unit 210 controls the communication interface 230 to send a support request to the support staff's terminal 300 (Figure 1) (step S360). This completes the process shown in this flowchart. In step S360, for example, an email indicating signs of impending failure of the shredder 100 may be sent to the user's terminal (not shown) of the shredder 100.

[0067] Thus, in the server 200, a corrected peak value (peak value information) corrected based on the current value after the peak is used to detect signs of failure in the shredder 100. Therefore, according to the server 200, since the influence of the number and thickness of the sheets S1 being shredded by the rotating blade 190 on the peak value is taken into consideration, signs of failure in the shredder 100 can be detected with higher accuracy.

[0068] Furthermore, consider a state where multiple sheet materials S1 are fastened together with staples. In this case, when multiple sheet materials S1 are fed into the shredder 100, the magnitude of the current value instantaneously becomes very large due to the influence of the staples. If the detection of a shredder 100 failure is performed based on a current value that has instantaneously increased due to factors other than a sign of shredder 100 failure, it will cause a decrease in the accuracy of the prediction detection. In server 200, the detection of a shredder 100 failure is performed based on the change in the moving average value of the peak value information, so even if the current value instantaneously increases due to factors other than a sign of shredder 100 failure, for example, the effect is suppressed. Therefore, server 200 can perform shredder 100 failure prediction detection with higher accuracy.

[0069] Furthermore, in server 200, a moving average is calculated based on peak value information other than abnormal values, and the shredder 100 is detected as a precursor to failure based on this moving average. Therefore, even if the current value increases instantaneously due to factors other than the precursor to failure of the shredder 100, the impact is suppressed. As a result, server 200 can detect the precursor to failure of the shredder 100 with higher accuracy.

[0070] (1-3-4. Automatic reverse rotation operation) For example, if paper dust adheres to the rotating blade 190, the load on the motor 170 increases when shredding the sheet material S1, and the peak value of the current supplied to the motor 170 rises regardless of any signs of failure in the shredder 100. This rise in the peak value of the current, regardless of any signs of failure in the shredder 100, can cause a decrease in the accuracy of detecting signs of failure. Therefore, in the shredder 100, the rotating blade 190 rotates in the reverse direction at a predetermined timing. That is, at a predetermined timing, the rotating blade 190 rotates in the opposite direction (second rotation direction) to the rotation direction (first rotation direction) of the rotating blade 190 when shredding the sheet material S1.

[0071] According to the shredder 100, the reverse rotation of the rotating blade 190 shakes off the paper dust, thus suppressing an increase in the peak current value regardless of any signs of failure in the shredder 100. As a result, the shredder management system 10 can detect signs of failure in the shredder 100 with greater accuracy.

[0072] Figure 11 is a flowchart showing the automatic reverse rotation operation in the shredder 100. The processes shown in this flowchart are executed by the control unit 110 of the shredder 100.

[0073] Referring to Figure 11, the control unit 110 determines whether a predetermined timing has arrived (step S600). The predetermined timing is, for example, the time elapsed since the last automatic reverse rotation (for example, 48 hours elapsed since the last automatic reverse rotation). If it is determined that the predetermined timing has not arrived (NO in step S600), the control unit 110 waits until the predetermined timing arrives. On the other hand, if it is determined that the predetermined timing has arrived (YES in step S600), the control unit 110 controls the motor 170 to rotate the rotating blade 190 in reverse (step S610).

[0074] <1-4. Effects, etc.> As described above, in the server 200, a corrected peak value (peak value information) corrected based on the current value after the peak is used to detect signs of failure in the shredder 100. Therefore, according to the server 200, since the influence of the number and thickness of the sheets S1 being shredded by the rotating blade 190 on the peak value is taken into consideration, signs of failure in the shredder 100 can be detected with higher accuracy.

[0075] [2. Embodiment 2] In Embodiment 1 described above, the detection of signs of failure in the shredder 100 was performed on the server 200. However, the detection of signs of failure in the shredder 100 does not necessarily have to be performed on the server 200. For example, the detection of signs of failure in the shredder 100 may be performed on the shredder 100 itself. In Embodiment 2, the detection of signs of failure in the shredder 100A is performed on the shredder 100A itself. The following description will focus on the differences from Embodiment 1 described above. The shredder management system 10A (not shown) according to Embodiment 2 includes the shredder 100A and the server 200A (not shown). The server 200A includes a control unit 210A (not shown).

[0076] <2-1. Shredder Configuration> Figure 12 is a schematic diagram showing the general configuration of a shredder 100A according to this second embodiment. As shown in Figure 12, the shredder 100A includes a control unit 110A, a storage unit 120A, and a notification unit 135.

[0077] The control unit 110A includes a CPU, RAM, ROM, etc. (not shown), and controls each component according to information processing. The control unit 110A also includes a timer 115. By using the timer 115, the control unit 110A can, for example, recognize the energizing time of the motor 170.

[0078] The storage unit 120A is, for example, an auxiliary storage device such as a hard disk drive or a solid-state drive. The storage unit 120A stores, for example, a control program 121A. Various functions of the shredder 100A are realized when the control program 121A is executed by the control unit 110A (CPU).

[0079] The notification unit 135 is composed of, for example, an indicator such as an LED (Light Emitting Diode) or a liquid crystal display, or a speaker. The notification unit 135 notifies the user, for example, when signs of a malfunction in the shredder 100A are detected.

[0080] <2-2. Predictive failure detection operation> Figure 13 is a flowchart showing the fault prediction operation in the shredder management system 10A according to this embodiment 2. The processes shown in the flowchart on the left are executed by the control unit 110A of the shredder 100A, and the processes shown in the flowchart on the right are executed by the control unit 210A of the server 200A.

[0081] Referring to the flowchart on the left side of Figure 13, the control unit 110A of the shredder 100A performs fault prediction detection processing based on the current value information stored in the storage unit 120A (step S700). This fault prediction detection processing is performed by the control unit 110A of the shredder 100A, as shown in the flowchart of Figure 7 (except for step S360).

[0082] The control unit 110A determines, based on the results of the predictive detection process, whether or not the shredder 100A has been judged to be degraded (failure prediction judgment) (step S710). If it is determined that no degradation has been judged (NO in step S710), the process shown in this flowchart ends.

[0083] On the other hand, if deterioration is detected (YES in step S710), the control unit 110A controls the notification unit 135 to notify the user (step S720). If the notification unit 135 is an LED, the control unit 110A, for example, makes the LED blink. If the notification unit 135 is a liquid crystal display, the control unit 110A displays, for example, a message indicating that there is a sign of impending failure on the liquid crystal display. If the notification unit 135 is a speaker, the control unit 110A, for example, outputs sound to the speaker. According to the shredder management system 10A, the user is notified when signs of impending failure are detected, so the user can be informed that maintenance of the shredder 100A is necessary before the shredder 100A fails.

[0084] Subsequently, the control unit 110A controls the communication interface 130 to send data indicating that there are signs of a malfunction to the server 200 (step S730). This completes the process shown in this flowchart.

[0085] Referring to the flowchart on the right side of Figure 13, the control unit 210A of the server 200A determines whether or not data indicating a malfunction has been received from the shredder 100A (step S750). If it is determined that data indicating a malfunction has not been received from the shredder 100A (NO in step S750), the control unit 210A waits until data indicating a malfunction is received from the shredder 100A.

[0086] On the other hand, if it is determined that data indicating a potential malfunction has been received from the shredder 100A (YES in step S750), the control unit 210A controls the communication interface 230 to send a support request to the support staff's terminal 300 (Figure 1) (step S760).

[0087] <2-3. Effects, etc.> As described above, the shredder failure prediction detection operation may be performed in shredder 100A. Furthermore, with shredder 100A, the user is notified when failure prediction is detected, so the user can be informed that maintenance of shredder 100A is necessary before a failure occurs.

[0088] [3. Embodiment 3] In the shredder management system 10 according to Embodiment 1 described above, signs of failure in the shredder 100 were detected based on the moving average value of peak value information other than abnormal values ​​among the peak value information. However, in the shredder management system 10, signs of failure in the shredder 100 may be detected based on other information. The signs detection operation described below may be performed in addition to the operation described in Embodiment 1 described above, or it may be performed in place of the operation described in Embodiment 1 described above.

[0089] <3-1. Predictive failure detection operation (utilizing the frequency of abnormal value occurrences)> Figure 14 is a flowchart illustrating the failure prediction detection operation of the shredder 100 in this embodiment 3. The processes shown in this flowchart are executed by the control unit 210 of the server 200 after current value information is transmitted from the shredder 100 to the server 200. Note that the processes shown in steps S300 and S310 of Figure 7 have already been executed.

[0090] The control unit 210 calculates the percentage of abnormal values ​​(frequency of occurrence) among the multiple peak value information stored in the storage unit 220 (step S800).

[0091] Figure 15 shows how the current value detected by the current sensor 150 changes depending on the usage of the shredder 100. Figure 15(A) shows the change in current value when the number of sheets of sheet material S1 (paper) shredded by the shredder 100 is between 0 and 600 sheets. Figure 15(B) shows the change in current value when the number of sheets of sheet material S1 shredded by the shredder 100 is between 4200 and 4800 sheets. Figure 15(C) shows the change in current value when the number of sheets of sheet material S1 shredded by the shredder 100 is between 8400 and 9000 sheets. In each of Figures 15(A), (B), and (C), the horizontal axis represents time and the vertical axis represents the current value.

[0092] Referring to Figure 15(A), immediately after starting to use the shredder 100, the current value will fluctuate somewhat because the initial break-in period has not yet been completed. Referring to Figure 15(B), the current value will stabilize after a certain period of time has passed since starting to use the shredder 100. Referring to Figure 15(C), after a long period of time has passed since starting to use the shredder 100, the current value will begin to fluctuate significantly, and the frequency of abnormal current values ​​will increase. When the current value begins to fluctuate significantly, there is a tendency for the shredder 100 to malfunction afterward.

[0093] Referring again to Figure 14, the control unit 210 determines whether the ratio calculated in step S800 is equal to or greater than a predetermined value (step S810). If it is determined that the calculated ratio is not equal to or greater than the predetermined value (NO in step S810), the control unit 210 determines that the shredder 100 is functioning normally (no signs of failure) (step S820). This completes the process shown in this flowchart.

[0094] On the other hand, if it is determined in step S810 that the calculated ratio is greater than or equal to a predetermined value (YES in step S810), the control unit 210 determines that the shredder 100 is deteriorating and shows signs of failure (step S830). Subsequently, the control unit 210 controls the communication interface 230 to send a support request to the support staff's terminal 300 (Figure 1) (step S840). This completes the process shown in this flowchart.

[0095] <3-2. Effects, etc.> For example, if a part of the gear 180 that rotates the rotating blade 190 or the rotating blade 190 itself is damaged, the likelihood of the peak value of the current becoming abnormal increases. According to the server 200 of this embodiment 3, failure prediction of the shredder 100 is performed based on the frequency of abnormal values, so failure prediction can be performed with higher accuracy. Note that the prediction detection operation in this embodiment 3 may also be performed in the shredder 100.

[0096] [4. Embodiment 4] For example, in the shredder management system 10 according to Embodiment 1 described above, in addition to the function for detecting signs of failure in the shredder 100, a function for identifying the part that causes the failure (defective part) may be added. The defect part identification operation described below may be performed in addition to the operation described in Embodiment 1 described above, or it may be performed instead of the operation described in Embodiment 1 described above. The objective of the shredder management system 10 according to Embodiment 4 is to provide a shredder management system that can identify the part that causes the failure of the shredder 100.

[0097] <4-1. Identifying the Defective Part> Figure 16 is a flowchart showing the process of identifying defective areas in the shredder 100. The process shown in this flowchart is executed by the control unit 210 of the server 200 after current value information is transmitted from the shredder 100 to the server 200.

[0098] Referring to Figure 16, the control unit 210 calculates the frequency in the post-peak region (steady state region) of the waveform formed by plotting multiple current value information (step S900). For example, if the motor 170, gear 180, or rotating blade 190 deteriorates, a "swell" occurs in the waveform showing the transition of current value information. Examples of deterioration of the motor 170, gear 180, or rotating blade 190 include damage, bending, and changes in the bearing over time. In this embodiment 4, the defective part of the shredder 100 is identified based on the frequency of this "swell".

[0099] Figure 17 schematically shows an example of a waveform exhibiting undulation. As shown in Figure 17, for example, if the motor 170, gear 180, or rotating blade 190 deteriorates, undulation occurs in the steady-state region.

[0100] Referring again to Figure 16, the control unit 210 identifies the defective area based on the frequency calculated in step S900 (step S910). For example, in the server 200, the rotational speeds of the motor 170, each gear 180, and each rotating blade 190 are stored in advance. The rotational speed of the deteriorated part of the motor 170, each gear 180, and each rotating blade 190 should be correlated with the frequency of the "undulation". Therefore, the control unit 210 identifies the defective area by comparing, for example, the rotational speeds of the motor 170, each gear 180, and each rotating blade 190 with the frequency of the "undulation".

[0101] <4-2. Effects, etc.> As described above, in the server 200 according to this embodiment 4, the storage unit 220 stores a plurality of current value information. The control unit 210 identifies the defective area in the shredder 100 based on the frequency of the waveform after the peak among the waveforms indicated by the plurality of current value information. Specifically, the control unit 210 identifies the defective area by comparing the rotation speed of the rotating blade 190, etc. with the above frequency. According to the server 200 according to this embodiment 4, the defective area in the shredder 100 can be identified. Note that the operation to identify the defective area in this embodiment 4 may be performed in the shredder 100.

[0102] [5. Embodiment 5] In the above embodiments 1-4, signs of failure in shredders 100 and 100A were detected based on current value information. However, the method for detecting signs of failure is not limited to this. For example, insufficient lubrication in gear 180 or the intrusion of foreign matter into gear 180 can cause wear on gear 180, increasing the sliding resistance between gears 180, which in turn can lead to damage to gear 180. In such cases, for example, vibration and noise in shredder 100 may decrease after "initial break-in," then gradually increase, and finally increase sharply. Subsequently, shredder 100 will fail. Therefore, in shredder 100B according to embodiment 5, signs of failure in shredder 100B are detected based on vibration or noise in shredder 100B. The following will focus on the differences from embodiment 1.

[0103] <5-1. Shredder Configuration> Figure 18 is a schematic diagram showing the general configuration of a shredder 100B according to this embodiment 5. As shown in Figure 18, the shredder 100B includes a control unit 110B, a storage unit 120B, and a sensor 165.

[0104] The control unit 110B includes a CPU, RAM, ROM, etc. (not shown), and controls each component according to information processing. The control unit 110B also includes a timer 115. By using the timer 115, the control unit 110B can, for example, recognize the energizing time of the motor 170.

[0105] The memory unit 120B is, for example, an auxiliary storage device such as a hard disk drive or a solid-state drive. The memory unit 120B stores, for example, a control program 121B. Various functions of the shredder 100B are realized when the control program 121B is executed by the control unit 110B (CPU).

[0106] Sensor 165 is composed of, for example, an acceleration sensor or a microphone. Sensor 165 detects vibrations or noises caused by the rotation of the motor 170, each gear 180, or each rotating blade 190. The information detected by sensor 165 (vibration information or noise information) is output to the control unit 110B.

[0107] <5-2. Predictive failure detection operation> Figure 19 is a flowchart illustrating the fault prediction detection operation in this embodiment 5. The processes shown in this flowchart are executed, for example, by the control unit 110B of the shredder 100B.

[0108] Referring to Figure 19, the control unit 110B of the shredder 100B determines whether the output value of the sensor 165 after initial break-in is equal to or greater than a predetermined value (step S1000). If it is determined that the output value of the sensor 165 after initial break-in is not equal to or greater than a predetermined value (NO in step S1000), the control unit 110B determines that the shredder 100B is functioning normally (step S1010). This completes the process shown in this flowchart.

[0109] On the other hand, if the output value of the sensor 165 after initial break-in is determined to be above a predetermined value (YES in step S1000), the control unit 110B determines that the shredder 100B is deteriorating (there are signs of failure) (step S1020). Subsequently, the control unit 110B controls the communication I / F 130 to send a support request to the support staff's terminal 300 (Figure 1) (step S1030). This completes the process shown in this flowchart. For example, the shredder 100B may be equipped with a notification unit, and in step S1030, it may notify the user that there are signs of failure. Alternatively, in step S1030, data indicating that there are signs of failure may be sent to the server 200, and the server 200 may send a support request to the terminal 300.

[0110] <5-3. Effects, etc.> As described above, the shredder 100B according to this embodiment 5 can detect signs of failure in the shredder 100B based on vibrations or noise inside the shredder 100B. In this embodiment 5, the failure prediction operation may be performed on the server 200. In this case, information indicating vibrations or noise collected in the shredder 100B is transmitted to the server 200.

[0111] [6. Variant] Although embodiments 1-5 have been described above, the present invention is not limited to embodiments 1-5, and various modifications are possible without departing from the spirit of the invention. Modifications will be described below.

[0112] <6-1> For example, in the above embodiment 1, when a predetermined time arrived, current value information was transmitted from the shredder 100 to the server 200. However, the timing of the transmission of current value information is not limited to this. For example, the control unit 110 of the shredder 100 may control the communication I / F 130 to sequentially transmit current value information to the server 200 in response to acquiring current value information from the current sensor 150. In other words, the configuration may be such that current value information is continuously transmitted from the shredder 100 to the server 200 while the shredder 100 is in use.

[0113] Alternatively, the system may be configured such that current value information is sent from the shredder 100 to the server 200 when a predetermined event occurs. Examples of such events include the power of the shredder 100 being turned ON / OFF, or the current value information exceeding a predetermined threshold.

[0114] <6-2> Furthermore, in the first embodiment described above, for example, signs of failure in the shredder 100 were detected based on the moving average value of the peak value information. However, the moving average value of the peak value information does not necessarily have to be used for detecting signs of failure. For example, signs of failure may be detected simply based on the amount of change in the peak value information.

[0115] <6-3> Furthermore, for example, in the first embodiment described above, outliers were excluded when calculating the moving average of the peak value information. However, it is not necessary to exclude outliers when calculating the moving average of the peak value information.

[0116] <6-4> Furthermore, in Embodiment 1, for example, signs of failure in the shredder 100 were detected based on current value information. However, the method for detecting signs of failure is not limited to this. For example, signs of failure in the shredder 100 may be detected based on the temperature of the motor 170, the energizing time of the motor 170, or the total number of sheets of sheet material S1 shredded by the shredder 100. For example, signs of failure in the shredder 100 may be detected when the temperature of the motor 170 exceeds a predetermined value, when the total energizing time of the motor 170 exceeds a predetermined value, or when the total number of sheets of sheet material S1 shredded by the shredder 100 exceeds a predetermined value.

[0117] <6-5> Furthermore, in each of the above embodiments 1-5, the shredder may have structural features such as those shown below. In the following description, shredder 100 will be used as a representative example.

[0118] Figure 20 is a schematic perspective view showing the external configuration of the shredder 100. As shown in Figure 20, the shredder 100 includes a shredder body 400 and a lid 305. The lid 305 is openable and closable relative to the shredder body 400.

[0119] With the lid 305 open, multiple sheets of material S1 can be placed on the top surface of the shredder body 400. After multiple sheets of material S1 are placed on the top surface of the shredder body 400, the lid 305 is closed, and the shredding of the multiple sheets of material S1 placed on the top surface of the shredder body 400 begins. In addition, an input slot H1 is formed on the top surface of the lid 305. By inserting the sheets of material S1 into the input slot H1, the shredding of the sheets of material S1 begins.

[0120] The shredder unit 400 includes a main body section 410 and a door section 420. The door section 420 is attached to the front of the main body section 410. The door section 420 can be opened and closed relative to the main body section 410. For example, shredded waste can be removed by opening the door section 420.

[0121] Figure 21 is a schematic diagram showing a part of the interior of the main body section 410 from a first direction. Figure 22 is a schematic diagram showing a part of the interior of the main body section 410 from a second direction. As shown in Figures 21 and 22, the interior of the main body section 410 is provided with a motor 170, a plurality of gears 180, a plurality of shafts 195, 185, and a plurality of rotating blades 190.

[0122] A rotating blade 190 is attached to each shaft 195. Note that in Figures 21 and 22, only some of the rotating blades 190 are shown, and some of the rotating blades 190 are omitted. In reality, the rotating blades 190 are provided along almost the entire length of the shaft 195. The rotation of the motor 170 causes multiple gears 180 to rotate, and the rotation of the multiple gears 180 causes each shaft 195 to rotate. As each shaft 195 rotates, each rotating blade 190 rotates, and the sheet material S1 is shredded.

[0123] Furthermore, the rotation of each shaft 195 causes multiple gears 180 to rotate, and the rotation of the multiple gears 180 causes each shaft 185 to rotate. Each shaft 185 is connected to a rubber belt (not shown), and the rotation of each shaft 185 causes a pair of rubber belts to rotate. A portion of the pair of rubber belts is exposed on the upper surface of the shredder body 400. The rotation of the pair of rubber belts causes multiple sheet materials S1 placed on the upper surface of the shredder body 400 to be wound into the main body part 410. The sheet materials S1 wound into the main body part 410 are shredded by multiple rotating blades 190.

[0124] Figure 23 is a schematic diagram showing the underside of the lid portion 305. Figure 24 is a schematic diagram showing the internal structure of the lid portion 305 attached to the main body portion 410. The lid portion 305 includes a lid body 306, a pair of hinge portions 320, a metal frame 330, and a pair of pressing portions 340.

[0125] The lid body 306 has a rectangular shape in plan view. The lid body 306 is made of, for example, resin. A pair of hinges 320 are attached to one end of the back surface of the lid body 306, and the lid 305 is attached to the main body part 410 via the pair of hinges 320. A pair of latches 310 are provided at the other end of the back surface of the lid body 306. The lid 305 is fixed in a closed state relative to the main body part 410 by the engagement of the pair of latches 310 with the main body part 410.

[0126] A metal frame 330, which is shaped like a square in plan view, is fixed to the underside of the lid body 306. The metal frame 330 is also pipe-shaped. That is, the cross-sectional shape of the metal frame 330 in the thickness direction is also square. A pair of pressing parts 340 are configured to press a plurality of sheet materials S1 placed on the upper surface of the shredder body 400 from above downwards. Each pressing part 340 is fixed to the lid body 306 and the metal frame 330.

[0127] Let's consider a case where there is no metal frame 330 inside the lid body 306, and each pressing part 340 is fixed only to the lid body 306. In this case, because the rigidity of the lid body 306 is low, the lid body 306 may twist when, for example, the lid 305 is closed relative to the shredder body 400. When the lid body 306 twists, the variation in the force applied to the sheet material S1 placed on the upper surface of the shredder body 400 by the pair of pressing parts 340 increases. As a result, the shredding of the sheet material S1 may not be smooth.

[0128] In the shredder 100, a rectangular metal frame 330 is fixed to the inside of the lid body 306, and each pressing part 340 is fixed to the lid body 306 and the metal frame 330. Because the rectangular metal frame 330 has high rigidity, when the lid 305 is closed, the lid body 306 is less likely to twist, and as a result, the variation in the force applied to the sheet material S1 by the pair of pressing parts 340 in each region is reduced. As a result, the shredder 100 can shred the sheet material S1 smoothly.

[0129] Figure 25 is a perspective view including a portion of the front of the shredder 100. As shown in Figure 25, a light-emitting section 425 is provided in the door section 420 of the shredder 100. The light-emitting section 425 extends in the width direction of the shredder 100. The length of the light-emitting section 425 in the width direction is, for example, 50% or more of the width direction of the shredder 100, preferably 70% or more, and more preferably 85% or more.

[0130] The light-emitting unit 425 emits light of a different color depending on the state of the shredder 100. For example, when the shredder 100 is in standby mode, the light-emitting unit 425 emits blue light; when the shredder 100 is in operation, the light-emitting unit 425 emits green light; and when an error occurs in the shredder 100 (door 420 open, paper jam, shredded waste full, etc.), the light-emitting unit 425 emits red light.

[0131] In the shredder 100, the light-emitting section 425 is wide and is located on the front of the shredder 100. Therefore, compared to, for example, a case where only a small light-emitting section is provided on the top surface of the shredder 100, the shredder 100 allows the user to easily recognize the status of the shredder 100 even when the user is far away.

[0132] Figure 26 is a perspective view including part of the interior of the door section 420. Figure 27 is a perspective view including part of the interior of the door section 420, with the front of the door section 420 omitted. As shown in Figures 26 and 27, the door section 420 is hollow, and a space A1 is formed inside the door section 420. The door section 420 includes a light-emitting section 425, a light-guiding section 445, plate sections 430 and 440, and a plurality of LED groups 435.

[0133] The light-emitting section 425 is exposed to the outside of the door section 420. The light-emitting section 425 is made of, for example, a translucent resin and extends in the width direction of the door section 420. A light guide section 445 is provided in the space behind the light-emitting section 425.

[0134] The light guide section 445 is made of, for example, an LGP (Light Guiding Panel) and extends in the width direction of the door section 420, similar to the light-emitting section 425. The longitudinal length of the light guide section 445 is, for example, 50% or more of the width direction length of the shredder 100, preferably 70% or more, and more preferably 85% or more. The cross-sectional shape of the light guide section 445 in the thickness direction has a bent section. Because the light guide section 445 has this shape, it guides the light emitted from the lower LED group 435 to the front light-emitting section 425. In other words, the cross-sectional shape of the light guide section 445 in the thickness direction is such that it guides light incident from below to the front.

[0135] The plate portion 440 is provided below the light guide portion 445 and is made of, for example, a transparent material. The length of the plate portion 440 in the longitudinal direction is, for example, 50% or more of the widthwise length of the shredder 100, preferably 70% or more, and more preferably 85% or more. The plate portion 430 is provided below the plate portion 440. The length of the plate portion 430 in the longitudinal direction is, for example, 50% or more of the widthwise length of the shredder 100, preferably 70% or more, and more preferably 85% or more.

[0136] Multiple LED groups 435 are provided on the upper surface of the plate portion 430. For example, multiple LED groups 435 are arranged on the upper surface of the plate portion 430 at predetermined intervals from one end to the other in the longitudinal direction of the plate portion 430. Each of the multiple LED groups 435 includes a red LED 435A, a blue LED 435B, and a green LED 435C. However, the combination of LEDs included in each LED group 435 is not limited to this.

[0137] In each of the multiple LED groups 435, LEDs of the same color light up in sync with each other. Each LED group 435 is controlled, for example, by the control unit 110. For example, as described above, the control unit 110 controls each blue LED 435B to light up when the shredder 100 is in standby mode, controls each green LED 435C to light up when the shredder 100 is in operation, and controls each red LED 435A to light up when an error occurs in the shredder 100. The light emitted upward by the LED groups 435 passes through the plate portion 440 and the light guide portion 445 and is emitted from the light-emitting portion 425 to the outside of the door portion 420. As a result, almost the entire light-emitting portion 425 lights up.

[0138] As described above, in the shredder 100, the light-emitting unit 425 is wide and is located on the front of the shredder 100. Therefore, compared to, for example, a case where only a small light-emitting unit is provided on the top surface of the shredder 100, the shredder 100 allows the user to easily recognize the status of the shredder 100 even when the user is far away. [Explanation of symbols]

[0139] 10 Shredder management system, 100, 100A, 100B Shredder, 110, 110A, 110B, 210 Control unit, 115 Timer, 120, 120A, 120B, 220 Memory unit, 121, 121A, 121B, 221 Control program, 130, 230 Communication I / F, 135 Notification unit, 140 Power IC, 150 Current sensor, 160 Temperature sensor, 165 Sensor, 170 Motor, 180 Gear, 185, 195 Shaft, 190 Rotating blade, 200 Server, 211 CPU, 212 RAM, 213 ROM, 300 Terminal, 305 Lid, 306 Lid body, 310 Latch, 320 Hinge, 330 Metal frame, 340 Pressing part, 400 Shredder body, 410 Main body part, 420 Door part, 425 Light-emitting part, 430, 440 Plate part, 435 LED group, 435A Red LED, 435B Blue LED, 435C Green LED, 445 Light guide part, A1 Space, D1 Management table, H1 Input slot, S1 Sheet material, W1, W2, W3 Corrugated.

Claims

1. A detection system for predicting shredder failures, The aforementioned shredder is, A rotating blade that shreds the sheet material, The system includes a motor for rotating the aforementioned rotating blade, The detection system is An acquisition unit that acquires peak value information relating to the peak value of the current value that indicates the magnitude of the current supplied to the motor when the sheet material is shredded, The system includes a detection unit that performs the predictive detection based on the change in the peak value information associated with the use of the shredder, The aforementioned peak value information is a corrected peak value obtained by correcting the peak value based on the current value after the peak, The detection system further comprises a detection unit that calculates the frequency of the undulation occurring in the steady-state region after the peak of a waveform formed by plotting a plurality of current values, and identifies a defective area by comparing the frequency of the undulation with the respective rotational speeds of the rotating blade and the motor.

2. The detection system according to claim 1, wherein the detection unit calculates a moving average of the peak value information and performs the predictive detection based on the change in the moving average.

3. The system further comprises a storage unit for storing the aforementioned peak value information, The detection unit is The memory unit determines whether each of the multiple peak value pieces of information stored in the memory unit is an abnormal value. The moving average is calculated based on the peak value information other than the outliers among the plurality of peak value information. The detection system according to claim 2, wherein the abnormal value is a value that is more than or equal to a predetermined value from the average value of the plurality of peak value information.

4. The system further comprises a storage unit for storing the aforementioned peak value information, The detection unit is The memory unit determines whether each of the multiple peak value pieces of information stored in the memory unit is an abnormal value. The predictive detection is performed based on the frequency of occurrence of the abnormal values ​​in the aforementioned multiple peak value information. The detection system according to claim 1 or claim 2, wherein the abnormal value is a value that is more than or equal to the average value of the plurality of peak value information.

5. The detection system according to claim 3, wherein the detection unit performs the predictive detection based on the frequency of occurrence of the abnormal values ​​in the plurality of peak value information.

6. The motor further comprises a control unit for controlling the motor, The detection system according to any one of claims 1 to 3, wherein the control unit rotates the motor in a first direction when the sheet material is shredded, and rotates the motor in a second direction opposite to the first direction at a predetermined timing.

7. The detection system according to any one of claims 1 to 3, further comprising a notification unit that notifies the user of the shredder when the aforementioned detection unit performs the aforementioned predictive detection.

8. Shredder and, The system includes a server configured to communicate with the aforementioned shredder, The aforementioned shredder is, A detection system according to any one of claims 1 to 3, The aforementioned rotating blade, The motor and, The system includes a transmission unit that transmits information to the aforementioned server, The aforementioned transmission unit transmits information indicating the detection result by the detection unit to the server, in a shredder management system.

9. Shredder and, The system includes a server configured to communicate with the aforementioned shredder, The server comprises the detection system described in any one of claims 1 to 3. The aforementioned shredder is, The aforementioned rotating blade, The motor and, A shredder management system comprising a transmitting unit that transmits information regarding the current value to the server.

10. A detection method for detecting signs of shredder failure, The aforementioned shredder is, A rotating blade that shreds the sheet material, The system includes a motor for rotating the aforementioned rotating blade, The aforementioned detection method is Computers The steps include: obtaining peak value information regarding the peak value of the current value that indicates the magnitude of the current supplied to the motor when the sheet material is shredded; The process includes the step of performing the predictive detection based on the change in the peak value information associated with the use of the shredder, The aforementioned peak value information is a corrected peak value obtained by correcting the peak value based on the current value after the peak, A detection method further comprising the steps of: the computer calculating the frequency of a swell occurring in the steady-state region after the peak of a waveform formed by plotting a plurality of current values; and identifying a defective area by comparing the frequency of the swell with the respective rotational speeds of the rotating blade and the motor.

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