JP6673002B2 - Information processing apparatus, information processing method, information processing program, and information processing system - Google Patents

Description

  The present invention relates to an information processing device, an information processing method, an information processing program, and an information processing system.

  2. Description of the Related Art A technique for estimating the remaining life of a tool in a machine tool that performs various types of processing is known.

  For example, Patent Document 1 discloses that a load acting on a tool is detected using an ammeter provided in a circuit that supplies a drive current to a spindle motor. Patent Literature 1 discloses that an approximate expression of a change in load is created from the detected statistics of the load, and how many remaining pieces can be processed using the approximate expression.

  However, depending on the type of tool, there is a case where the current value of the drive current does not change even if the wear state of the tool changes. For this reason, it is difficult for the conventional method to accurately determine the remaining life of the tool.

  The present invention has been made in view of the above, and provides an information processing apparatus, an information processing method, an information processing program, and an information processing system that can accurately determine the remaining life of a tool provided in a target apparatus. The purpose is to provide.

  In order to solve the above-described problem and achieve the object, an information processing apparatus includes: a first acquisition unit configured to acquire context information regarding a processing history of a target device that processes a target; A second acquisition unit that acquires the detection information of the physical quantity that changes in accordance with the first identification unit; and a first identification unit that identifies, from the context information, an accumulated machining amount of a tool provided in the target device processing the target object; In the first model in which the actual measured value of the tool and the actual measured value of the physical quantity of the target device having the tool worn from the unworn state to the actual measured wear value are associated with the detection information, Calculating a remaining life of the tool based on the second measurement unit that specifies the actual measured wear value corresponding to the detected actual measured value as the wear value of the tool, and the accumulated machining amount and the wear value. Act It comprises a part, a.

  ADVANTAGE OF THE INVENTION According to this invention, there exists an effect that the remaining life of the tool provided in the target apparatus can be calculated | required with sufficient accuracy.

FIG. 1 is a schematic diagram illustrating an outline of a configuration example of an information processing system. FIG. 2 is a block diagram illustrating an example of a hardware configuration of the processing machine. FIG. 3 is a block diagram illustrating an example of a hardware configuration of the diagnostic device. FIG. 4 is a block diagram illustrating an example of a functional configuration of each of the processing machine and the diagnostic device. FIG. 5 is a schematic diagram illustrating an example of the data configuration of the detection model and the processing amount model. FIG. 6 is an explanatory diagram of the calculation by the calculation unit. FIG. 7 is a schematic diagram illustrating an example of the display screen. FIG. 8 is a flowchart illustrating an example of information processing. FIG. 9 is a block diagram illustrating an example of a functional configuration of the information processing system. FIG. 10 is a flowchart illustrating an example of information processing.

  Hereinafter, an embodiment of an information processing device, an information processing method, an information processing program, and an information processing system will be described in detail with reference to the accompanying drawings. In the present embodiment, an example in which the information processing apparatus is applied to a diagnostic apparatus will be described as an example.

(First Embodiment)
FIG. 1 is a schematic diagram illustrating an outline of a configuration example of an information processing system 1000 according to the present embodiment.

  The information processing system 1000 includes the processing machine 20 and the diagnostic device 10. The diagnostic device 10 and the processing machine 20 are communicably connected. The processing machine 20 and the diagnostic device 10 may be connected in any connection form. For example, the processing machine 20 and the diagnostic device 10 are connected by a dedicated connection line, a wired network such as a wired LAN (local area network), a wireless network, or the like.

  The processing machine 20 is an example of a target device to be diagnosed by the diagnostic device 10. The processing machine 20 is provided with a machine tool 23. The machine tool 23 is a machine that processes a processing target. The machine tool 23 is provided with a tool 59, and the tool 59 is used to machine an object. The tool 59 is, for example, a cutting member for cutting an object or a polishing member for polishing an object. Specifically, the tool 59 is a drill, a cutter, or the like.

  The diagnostic device 10 is a device that diagnoses the processing machine 20. In the present embodiment, the diagnostic device 10 diagnoses (calculates) the remaining life of the tool 59 provided in the processing machine 20.

  FIG. 2 is a block diagram illustrating an example of a hardware configuration of the processing machine 20. As shown in FIG. 2, the processing machine 20 includes a CPU (Central Processing Unit) 51, a ROM (Read Only Memory) 52, a RAM (Random Access Memory) 53, a communication I / F (interface) 54, and a drive. A control circuit 55, a motor 56, and a sensor 57 are connected by a bus 58.

  The CPU 51 controls the entire processing machine 20. The CPU 51 controls the overall operation of the processing machine 20 by executing a program stored in the ROM 52 or the like using the RAM 53 as a work area (work area), and realizes a processing function.

  The communication I / F 54 is an interface for communicating with an external device such as the diagnostic device 10. The drive control circuit 55 is a circuit that controls the drive of the motor 56. The motor 56 drives the tool 59.

  FIG. 3 is a block diagram illustrating an example of a hardware configuration of the diagnostic device 10. As shown in FIG. 3, the diagnostic device 10 has a configuration in which a CPU 61, a ROM 62, a RAM 63, a communication I / F 64, an HDD (Hard Disk Drive) 65, and an operation panel 67 are connected by a bus 66. It has become. Operation panel 67 includes a display device 67A and an operation device 67B. The display device 67A is, for example, a liquid crystal panel or an organic EL (Electro Luminescence) panel. The operation device 67B is, for example, a keyboard or a mouse. The operation panel 67 may be a touch panel in which the display device 67A and the operation device 67B are integrally configured.

  The CPU 61 controls the entire diagnostic device 10. The CPU 61 controls the overall operation of the diagnostic apparatus 10 and executes a diagnostic function by executing a program stored in the ROM 62 or the like using the RAM 63 as a work area (work area). The communication I / F 64 is an interface for communicating with an external device such as the processing machine 20. The HDD 65 stores information such as setting information of the diagnostic device 10 and detection information received from the processing machine 20. A nonvolatile storage means such as an EEPROM (Electrically Erasable Programmable Read-Only Memory) or an SSD (Solid State Drive) may be provided in place of the HDD 65 or together with the HDD 65.

  FIG. 4 is a block diagram illustrating an example of a functional configuration of each of the processing machine 20 and the diagnostic device 10 provided in the information processing system 1000.

  The processing machine 20 includes a numerical control unit 21, a communication control unit 22, and a machine tool 23.

  The machine tool 23 is a machine that drives under the control of the numerical control unit 21 and processes an object to be processed. The machine tool 23 includes a sensor 25, a drive unit 24, and a tool 59.

  The drive unit 24 drives the tool 59 under the control of the numerical control unit 21. The target object is processed by driving the tool 59. The drive unit 24 is realized by, for example, a motor 56 (see FIG. 2). The drive unit 24 may be any drive unit that is used for processing and is subjected to numerical control. The machine tool 23 may include a plurality of driving units 24.

  In the processing machine 20, the description will be made assuming that only one tool 59 is operated at a time. That is, the description will be made assuming that even if the machine tool 23 includes a plurality of tools 59, only one tool 59 operates at a time.

  The sensor 25 is a detection unit that detects a physical quantity that changes according to the operation state of the processing machine 20. The sensor 25 transmits detection information (sensor data) for detecting a physical quantity to the diagnostic device 10. The sensor 25 corresponds to, for example, the sensor 57 in FIG.

  In the present embodiment, the physical quantity may be data indicating vibration of the processing machine 20 (specifically, the machine tool 23). The data indicating the vibration includes vibration data indicating the vibration itself, sound data of a sound generated by the vibration, sound wave data (AE wave data) of a sound wave generated by the vibration, acceleration data of acceleration generated by the vibration, and the like. The sensor 25 is, for example, a microphone, a vibration sensor, an acceleration sensor, an AE (acoustic emission) sensor, or the like.

  For example, when the tool 59 processes one or a plurality of objects, the tool 59 is worn. Then, vibrations (sound, acceleration, sound waves, etc.) generated when processing the object in the machine tool 23 are different. In the present embodiment, the diagnostic device 10 uses the detection information to determine the remaining life of the tool 59 (details will be described later).

  Note that the number of sensors 25 included in the processing machine 20 is not limited. That is, the processing machine 20 may be configured to include one sensor 25, may be configured to include a plurality of sensors 25 that detect the same physical quantity, or may be configured to include a plurality of sensors 25 that detect different physical quantities. May be provided with the sensor 25 of FIG.

  The numerical controller 21 numerically controls the machine tool 23 (Numerical Control). The numerical control unit 21 generates control data for controlling the operation of the drive unit 24 and outputs the control data to the drive unit 24. Further, the numerical control unit 21 transmits context information regarding the current operation state of the driving unit 24 to the diagnostic device 10. That is, the numerical control unit 21 transmits to the diagnostic device 10 context information on the operation state indicated by the control data currently transmitted to the driving unit 24 (or transmitted immediately before).

  The context information includes operation state information of the machine tool 23 and processing history information. In the present embodiment, the context information is information determined for each type of operation (type of processing) performed by the processing machine 20 (specifically, the machine tool 23).

  The operation state information is information indicating the operation state of the drive unit 24, and is information indicating the operation state of the drive unit 24, which is indicated by control data for controlling the drive unit 24. The operation state information includes, for example, identification information of a tool 59 used for machining (hereinafter, may be referred to as a tool ID), identification information of the driving unit 24 that drives the tool 59, the number of rotations of the driving unit 24, and the driving unit 24. , The load on the drive unit 24, the size of the drive unit 24, and the like.

  The processing history information is information on the processing history of the processing machine 20. Specifically, the processing history information is information regarding the processing history of the tool 59 identified by the tool ID, which is included in the context information including the processing history information. The processing history information includes at least one of the cumulative processing amount and information capable of specifying the cumulative processing amount, as the information on the processing history.

  The cumulative processing amount is a cumulative value of the processing amount in which the tool 59 has processed the object. In other words, the cumulative processing amount is the cumulative value of the processing amount of a certain tool 59 processing one or more types of objects. The processing amount may be any information indicating the processed amount. Specifically, the accumulated machining amount included in the context information is the accumulated machining amount obtained by machining the target by the tool 59 identified by the tool ID included in the context information. The processing amount specifically indicates a cutting distance and a cutting time. Therefore, the cumulative processing amount indicates the cumulative cutting distance and the cumulative cutting time.

  The information that can specify the accumulated machining amount may be any information that can identify the accumulated machining amount obtained by machining the target by the tool 59 identified by the tool ID included in the context information. Information that can specify the cumulative machining amount includes, for example, the cutting distance and machining frequency per machining, the cutting time and machining frequency per machining, the spindle rotation speed and machining frequency per machining, The feed amount per processing and the number of times of processing, the size of the object to be processed, the number of processed objects, and the like.

  The numerical control unit 21 generates control data corresponding to the type of operation (type of processing) corresponding to each processing step according to a preset execution order of the processing steps, and outputs the control data to the drive unit 24. Accordingly, the drive unit 24 performs an operation according to the operation state indicated by the control data, and processes the tool 59. Further, the numerical control unit 21 transmits context information including the operation state information of the operation state and the processing history information to the diagnostic device 10.

  The context information transmitted by the numerical control unit 21 to the diagnostic device 10 includes processing history information on the processing history (including at least one of the cumulative processing amount and information that can specify the cumulative processing amount). Note that the numerical control unit 21 may output context information including the current operation state information and the processing history information to the diagnostic device 10.

  In the present embodiment, a mode in which the numerical control unit 21 outputs context information including current operation state information and processing history information to the diagnostic device 10 will be described. The current operation state information is operation state information indicating the operation state indicated by the control data transmitted to the machine tool 23 by the numerical controller 21 immediately before. The processing history information included in the context information transmitted to the diagnostic device 10 by the numerical control unit 21 includes the cumulative processing amount of the tool 59 at the time of the transmission (that is, the present) and information capable of specifying the cumulative processing amount. , At least one of.

  The communication control unit 22 controls communication with an external device such as the diagnostic device 10. For example, the communication control unit 22 transmits the context information received from the numerical control unit 21 to the diagnostic device 10.

  The numerical control unit 21 may output the context information to the diagnostic device 10 in response to the context information acquisition request from the diagnostic device 10, or may output the context information to the diagnostic device 10 at a predetermined timing. Is also good. For example, each time the numerical control unit 21 outputs control data corresponding to context information including operation state information corresponding to the type of operation (type of processing) corresponding to each processing step to the driving unit 24, Context information including state information and current machining history information may be transmitted to the diagnostic device 10.

  Next, a functional configuration of the diagnostic device 10 will be described. The diagnostic device 10 includes a control unit 30, a storage unit 32, an operation unit 36, and a display unit 34. The control unit 30, the storage unit 32, the display unit 34, and the operation unit 36 are connected so that data can be transmitted and received.

  The storage unit 32 stores various information. The storage unit 32 is realized by, for example, the HDD 65 of FIG. The storage unit 32 stores, for example, a detection model (first model) 32A and a machining amount model (second model) 32B.

  The detection model 32A corresponds to a first model. The detection model 32A is a model showing the relationship between the measured wear value of the tool 59 and the detected measurement value. In the present embodiment, a case will be described as an example where the detection model 32A is a database in which measured wear values of the tool 59 and detected measured values are associated with each other. In the present embodiment, the actual measurement value indicates a value obtained by actual measurement. Specifically, the actually measured value is not a value obtained by calculation, but a value measured directly.

  FIG. 5 is a schematic diagram illustrating an example of the data configuration of the detection model 32A and the machining amount model 32B. FIG. 5A is a schematic diagram illustrating an example of the data configuration of the detection model 32A. The detection model 32A associates the tool ID, the measured wear value, and the detected measurement value.

  The measured wear value is a value obtained by actually measuring the wear value of the tool 59 identified by the tool ID. The wear value is a value indicating the degree of wear of the tool 59. The wear value is, for example, a wear amount (length) of the tool 59, a worn weight of the tool 59, or the like. Specifically, the wear value indicates a wear amount or a worn weight based on the tool 59 in an unworn state. The detected actual value is the actual value of the physical quantity detected by the sensor 25 of the processing machine 20 having the tool 59 that has been worn to the corresponding actual wear value, which is the tool 59 identified by the corresponding tool ID.

  That is, the detection model 32A includes a wear value of the tool 59 when one tool 59 is mounted on the machine tool 23 and one or a plurality of objects are machined by the tool 59, and a machine tool at the time of machining. 23 is a measurement result obtained by actually measuring each of the detection information detected by the 23 sensors 25. The detection model 32A may be measured in advance using the processing machine 20 to be diagnosed and created in advance.

  The machining amount model 32B corresponds to a second model. The machining amount model 32B is a model indicating the relationship between the measured wear value of the tool 59 and the accumulated machining measured value. In the present embodiment, a case where the machining amount model 32B is a database in which actual wear values of the tool 59 and accumulated actual work values are associated with each other will be described as an example.

  FIG. 5B is a schematic diagram illustrating an example of the data configuration of the machining amount model 32B. The machining amount model 32B associates the tool ID, the measured wear value, and the measured accumulated machining value.

  The measured wear value is the same as above. The cumulative machining actual value is a tool 59 identified by a corresponding tool ID, and is an actual measured value of an accumulated machining amount obtained by machining a target object from an unworn state to a corresponding actual wear value.

  That is, the machining amount model 32B includes the wear value of the tool 59 when one tool 59 is mounted on the machine tool 23 and one or a plurality of objects are machined by the tool 59, and the tool 59 It is an actual measurement result obtained by actually measuring each of the cumulative value (total value) of the processing amount obtained by processing the object. The machining amount model 32B may be created in advance by measuring the actual wear value and the cumulative machining actual value using the processing machine 20 to be diagnosed.

  Returning to FIG. 4, in the present embodiment, the storage unit 32 stores the detection model 32A and the machining amount model 32B in advance.

  The display unit 34 displays various images. The display unit 34 is realized by, for example, a display device 67A (see FIG. 3). The operation unit 36 is operated by the user. The operation unit 36 is realized by, for example, an operation device 67B (see FIG. 3). In addition, the display unit 34 and the operation unit 36 may be integrally configured to be a touch panel.

  Next, the control unit 30 of the diagnostic device 10 will be described.

  The control unit 30 controls the diagnostic device 10. The control unit 30 includes a communication control unit 30A, a first specification unit 30F, a second specification unit 30G, a calculation unit 30H, a reception unit 30M, and a display control unit 30L. Communication control unit 30A includes a transmission unit 30B and an acquisition unit 30C. The obtaining unit 30C includes a first obtaining unit 30D and a second obtaining unit 30E. Arithmetic unit 30H includes a first arithmetic unit 30I, a second arithmetic unit 30J, and a third arithmetic unit 30K.

  Communication control unit 30A, transmission unit 30B, acquisition unit 30C, first acquisition unit 30D, second acquisition unit 30E, first identification unit 30F, second identification unit 30G, arithmetic unit 30H, first arithmetic unit Some or all of the processing unit 30I, the second calculation unit 30J, the third calculation unit 30K, the display control unit 30L, and the reception unit 30M may be configured to execute a program by a processing device such as a CPU (ie, software). It may be realized, may be realized by hardware such as an IC (Integrated Circuit), or may be realized in combination.

  The communication control unit 30A controls communication with an external device such as the processing machine 20. Communication control unit 30A includes a transmission unit 30B and an acquisition unit 30C.

  The transmission unit 30B transmits various requests and signals to the processing machine 20. For example, the transmission unit 30 </ b> B transmits a context information acquisition request to the processing machine 20.

  The acquisition unit 30C acquires various information and signals from the processing machine 20. In the present embodiment, acquisition section 30C includes first acquisition section 30D and second acquisition section 30E.

  The first acquisition unit 30D acquires context information from the processing machine 20. The second acquisition unit 30E acquires detection information from the sensor 25 of the processing machine 20. In addition, the second acquisition unit 30E detects the timing at which the first acquisition unit 30D acquires the context information or the detection information of the period including the timing at which the transmission unit 30B transmits the context information acquisition request to the processing machine 20. Is preferably acquired from the sensor 25 of the processing machine 20.

  The receiving unit 30M receives a user's operation instruction from the operation unit 36. In the present embodiment, reception unit 30M receives designation of date and time information indicating a date and time desired by the user. The date and time information desired by the user is information indicating a date and time after the present. The user-desired date / time information is, for example, the date / time when the maintenance of the processing machine 20 is scheduled or the date / time when the tool 59 provided in the processing machine 20 is scheduled to be replaced.

  Further, the receiving unit 30M may receive an input of context information different from the context information acquired from the processing machine 20. For example, the receiving unit 30M may receive an input of context information including processing history information. In this case, the processing history information may be any information that can specify the cumulative processing amount (cumulative cutting distance and cumulative cutting time) and the cumulative processing amount, as described above. In addition, the reception unit 30M includes information indicating the specifications of the tool 59 (tool ID, blade diameter, number of blades, material, whether or not the tool is coated, model number, image image of the tool, and the like) Context information further including information (material, size, etc.) indicating the specification of the target object may be accepted.

  In this case, the first obtaining unit 30D may obtain the context information from the receiving unit 30M, or may obtain the context information from both the receiving unit 30M and the processing machine 20. The first acquisition unit 30D may acquire context information from an external device such as a server device via a communication line.

  The first specifying unit 30F specifies the cumulative amount of processing performed by the tool 59 provided in the processing machine 20 on the target object from the context information acquired by the first acquiring unit 30D.

  As described above, the context information transmitted from the processing machine 20 to the diagnostic device 10 includes the operation state information of the machine tool 23 and the processing history information. The context information includes, as the processing history information, a case where the processing amount includes the cumulative processing amount, and a case where the processing history information includes information that can specify the cumulative processing amount.

  When the processing history information included in the context information obtained by the first obtaining unit 30D indicates the cumulative processing amount (cumulative cutting distance, cumulative cutting time), the first specifying unit 30F determines the cumulative processing amount ( By extracting at least one of the cumulative cutting distance and the cumulative cutting time), the cumulative processing amount is specified.

  When the processing history information included in the context information obtained by the first obtaining unit 30D is information that can specify the cumulative processing amount, the first specifying unit 30F may specify the cumulative processing amount from the information. . Specifically, the context information is the processing history information as the cutting distance and the number of processings per processing, the cutting time and the number of processings per processing, the spindle rotation speed and the processing times per processing, It is assumed that the information includes at least one of the feed amount per processing and the number of times of processing, and the size of the object to be processed and the number of processed objects. In this case, the first specifying unit 30F may specify the cumulative processing amount by calculating the cumulative processing amount from these pieces of information.

  The second specifying unit 30G specifies the wear value of the tool 59 using the detection information obtained by the second obtaining unit 30E.

  First, the second specifying unit 30G reads, from the detection model 32A (see FIG. 5A), an actual measured wear value corresponding to the detected actual value corresponding to the detection information acquired by the first acquiring unit 30D. In other words, the second specifying unit 30G detects the detection information that matches or most similar to the value indicated by the detection information acquired by the first acquisition unit 30D (specifically, a waveform indicating sound data or a waveform indicating vibration data). An actual measurement value is specified from the detection model 32A. Then, the second specifying unit 30G reads, from the detection model 32A, the measured actual wear value corresponding to the specified measured actual measurement value.

  At this time, when the context information acquired by the first acquiring unit 30D includes the tool ID of the tool 59, the second specifying unit 30G acquires the tool ID and the tool ID acquired by the first acquiring unit 30D. What is necessary is just to read the actual measured value of the detection corresponding to the detected information and the actual measured value of the wear from the detected model 32A.

  Then, the second specifying unit 30 </ b> G may specify the value indicated by the read measured wear value as the wear value of the tool 59.

  Next, the calculation unit 30H will be described. The calculating unit 30H calculates the remaining life of the tool 59 based on the accumulated machining amount specified by the first specifying unit 30F and the wear value specified by the second specifying unit 30G. That is, the calculation unit 30H calculates the remaining life of the tool 59 identified by the tool ID included in the context information acquired by the first acquisition unit 30D.

  The operation unit 30H includes a first operation unit 30I, a second operation unit 30J, and a third operation unit 30K. FIG. 6 is an explanatory diagram of the calculation by the calculation unit 30H.

  The first calculation unit 30I calculates the accumulated machining amount actual measurement value using the wear value specified by the second specifying unit 30G and the processing amount model 32B.

  The first calculation unit 30I specifies a measured wear value that matches or is closest to the wear value specified by the second specifying unit 30G in the machining amount model 32B (see FIG. 5B). Then, the first arithmetic unit 30I calculates the cumulative actual measurement value by reading the cumulative actual measurement value corresponding to the specified actual wear value in the machining amount model 32B from the machining amount model 32B.

  That is, the first calculation unit 30I specifies the accumulated machining amount measured value A in FIG. 6 using the wear value specified from the detection information (see the wear value M in FIG. 6).

  When the context information acquired by the first acquisition unit 30D includes the tool ID of the tool 59, the first calculation unit 30I determines the tool ID and the wear identified by the second identification unit 30G. The measured actual machining value corresponding to the measured wear value that is the same as the value or the closest to the wear value may be read from the machining amount model 32B.

  The second computing unit 30J divides the cumulative machining amount specified by the first specifying unit 30F by the measured actual machining amount calculated by the first computing unit 30I.

  For example, it is assumed that the cumulative processing amount specified by the first specifying unit 30F based on the context information is the cumulative processing amount A 'in FIG. In this case, the second computing unit 30J divides the accumulated machining amount A 'by the accumulated machining amount measured value A (accumulated machining amount A' / accumulated machining amount measured value A). That is, the second calculating unit 30J specifies the accumulated machining amount A ′ specified from the context information by the first specifying unit 30F using the wear value specified from the detection information by the second specifying unit 30G. It is divided by the accumulated machining amount measured value A.

  The second calculating unit 30J calculates a theoretical tool life, which is the theoretical life of the tool 59, from the wear value specified by the second specifying unit 30G from the detection information. Assuming that the tool life is represented by the cumulative machining amount that can be machined, the second computing unit 30J specifies the cumulative machining amount C as the theoretical tool life from the actual measured value A of the accumulated machining amount in FIG.

  For example, the second calculation unit 30J stores the detection model 32A (see FIG. 5A) in the storage unit 32 in advance in association with the theoretical tool life, which is the theoretical life of the tool 59 identified by the tool ID. Remember.

  Then, the second arithmetic unit 30J is a tool that associates the measured wear value that matches the wear value specified from the detection information by the second specifying unit 30G with the measured measurement value that matches the detection information. The theoretical tool life corresponding to the ID is read from the storage unit 32. Thereby, the second calculation unit 30J specifies the accumulated machining amount C 'as the theoretical tool life based on the detection information. That is, the second calculation unit 30J specifies the theoretical tool life (accumulated machining amount C in FIG. 6) based on the detection information.

  Note that the second calculation unit 30J may derive the accumulated machining amount C as the theoretical tool life from the machining model 32B (see FIG. 5B). In this case, first, the second computing unit 30J reads the measured wear value corresponding to the tool ID included in the context information in the machining model 32B. Then, the second arithmetic unit 30J calculates the accumulated machining actual value corresponding to the largest actual measured value of the read actual measured values in the machining model 32B (that is, the actual measured value of the wear when the tool 59 is completely worn). May be used as the cumulative processing amount C.

  Next, the second arithmetic unit 30J specifies a division value obtained by dividing the accumulated machining amount A ′ by the accumulated machining amount actual measurement value A (the division result, ie, (accumulated machining amount A ′ / accumulated machining amount actual measurement value A)). Is multiplied by the accumulated machining amount C as the calculated theoretical tool life ((accumulated machining amount A ′ / actually measured accumulated machining amount A) × cumulative machining amount C)). The second calculation unit 30J calculates a multiplied value obtained by the multiplication as a tool life. That is, the following equation (1) holds.

  (Cumulative machining amount A '/ Cumulative machining amount actual measurement value A) x Cumulative machining amount C = Cumulative machining amount C' as tool life ... Equation (1)

  In other words, the second computing unit 30J calculates the cumulative processing amount A based on the detection information using the cumulative processing amount measured value A determined based on the detection information and the cumulative processing amount A ′ determined based on the context information. An accumulated machining amount C ′, which is the actual tool life of the tool 59, is calculated from the accumulated machining amount C as the theoretical tool life.

  Then, the third calculating unit 30K calculates a subtraction value obtained by subtracting the cumulative processing amount A ′ specified by the first specifying unit 30F from the tool life (cumulative processing amount C ′) calculated by the second calculating unit 30J. , And the remaining life of the tool 59 is calculated. In the example shown in FIG. 6, the third calculating unit 30K calculates the remaining life B obtained by subtracting the accumulated machining amount A 'from the accumulated machining amount C'.

  The display control unit 30L displays on the display unit 34 the remaining life of the tool 59 (remaining life B in FIG. 6) specified by the second specifying unit 30G.

  In the present embodiment, the display control unit 30L creates a display screen indicating the remaining life of the tool 59 and displays the display screen on the display unit 34. FIG. 7 is a schematic diagram showing an example of the display screen 80.

  In the example shown in FIG. 7, the display screen 80 includes a graph 80A indicating the remaining life of the tool 59. The graph 80A is a graph in which the horizontal axis represents the cumulative cutting distance and the vertical axis represents the wear value.

  The form of the graph 80A is not limited to the example shown in FIG. For example, the horizontal axis may be the accumulated cutting time. In FIG. 7, a point a is an example of a plot corresponding to an intersection between the current accumulated cutting distance of the tool 59 and the current wear value. The current cumulative cutting distance and the current wear value indicate each of the cumulative cutting distance and the wear value specified immediately before by each of the first specifying unit 30F and the second specifying unit 30G.

  An arrow image E indicating the remaining life of the tool 59 is displayed on the graph 80A. In addition, the graph 80A displays a prediction line b that predicts a change in the relationship between the accumulated cutting distance and the wear value from the position of the point a to the life of the tool 59.

  In addition, the display screen 80 includes detailed information 80B. The detailed information 80B includes information indicating the tool 59 corresponding to the displayed remaining life, the current wear value, the current accumulated cutting distance, and the remaining life (here, the remaining cutting distance).

  The information indicating the tool 59 included in the detailed information 80B is information indicating the specification of the tool 59 (tool ID, blade diameter, number of blades, material, whether or not the tool is coated, model number, image of the tool). Image and the like, and information (material, size, and the like) indicating the specification of the object to be processed.

  The display control unit 30L creates a display screen 80 as shown in FIG. For this reason, the user can easily confirm the remaining life of the tool 59 provided in the processing machine 20 and information indicating the current state of the tool 59 by visually checking the display unit 34.

  As described above, the receiving unit 30M may receive the date and time information desired by the user. That is, the receiving unit 30M may receive date and time information such as the date and time when the maintenance of the processing machine 20 is scheduled and the date and time when the tool 59 provided in the processing machine 20 is replaced.

  In this case, the display control unit 30L specifies information indicating a difference between the current date and time and the date and time indicated in the received date and time information (for example, another 30 days, another 10 hours, and the like). Then, the display control unit 30L may display a display screen 80 including the specified information on the display unit 34.

  In this case, as shown in FIG. 7, the display screen 80 displays character information 80C such as "two days left until the scheduled maintenance date".

  Furthermore, the receiving unit 30M may receive a threshold of a wear value (hereinafter, referred to as a wear threshold) used for determining the replacement timing of the tool 59. In this case, when the difference between the current wear threshold value of the tool 59 and the received wear threshold value is equal to or smaller than a predetermined difference, the display control unit 30L transmits information prompting replacement of the tool 59 to the display unit 34. It may be displayed. In addition, the display control unit 30L may display a display screen 80 including information for prompting replacement on the display unit 34.

  Further, the receiving unit 30M may receive the designation of the tool ID of the tool 59 whose remaining life is to be displayed. In this case, the display control unit 30L may create a display screen indicating the remaining life corresponding to the tool 59 identified by the specified tool ID and display the display screen on the display unit 34. When the designation of a plurality of tool IDs is received, the display control unit 30L creates a display screen showing the remaining life corresponding to each of the received plurality of tool IDs for each corresponding tool 59, and displays the display screen. May be displayed. In this case, the display unit 34 displays, for example, a plurality of graphs indicating the remaining life of the tool 59.

  Next, an example of the flow of information processing executed by the diagnostic device 10 will be described. FIG. 8 is a flowchart illustrating an example of the flow of information processing executed by the diagnostic device 10.

  First, the first acquisition unit 30D acquires context information from the processing machine 20 (Step S100). Next, the second acquisition unit 30E acquires detection information from the sensor 25 of the processing machine 20 (Step S102).

  Next, the first specifying unit 30F specifies the cumulative processing amount of the tool 59 provided in the processing machine 20 for processing the target object from the context information acquired in step S100 (step S104). Next, the second specifying unit 30G specifies the wear value of the tool 59 using the detection information acquired in Step S102 (Step S106).

  Next, the first computing unit 30I computes the actual measured value of the accumulated machining amount using the wear value specified in step S106 and the machining amount model 32B (step S108).

Next, the second calculating unit 30J calculates the accumulated machining amount specified in step S104 by using the step S104.
A multiplication value obtained by multiplying the theoretical theoretical tool life specified by the wear value specified in step S106 by the division value obtained by dividing the actual measured value of the accumulated machining amount calculated in 108 is calculated as the tool life of the tool 59 (step S110). .

  Next, the third calculation unit 30K calculates a subtraction value obtained by subtracting the accumulated machining amount specified in step S104 from the tool life (accumulated machining amount) calculated in step S110 as the remaining life of the tool 59 (step S110). S112).

  Next, the display control unit 30L reads information indicating the tool 59 for which the remaining life has been calculated (step S114). Next, the display control unit 30L determines whether or not the receiving unit 30M has received the designation of the date and time information (Step S116).

  When the designation of the date and time information is received (step S116: Yes), the process proceeds to step S118. In step S118, the display control unit 30L specifies a difference (for example, another 30 days, another 10 hours, or the like) between the current date and time and the date and time indicated in the date and time information received in step S116 (step S118). .

  Next, the display control unit 30L generates a display screen 80 of the remaining life of the tool 59 (Step S120). In step S120, the display control unit 30L generates the display screen 80 including the information indicating the tool 59 and the information indicating the difference between the date and time specified in step S118. Then, the process proceeds to step S124.

  On the other hand, if a negative determination is made in step S116 (step S116: No), the process proceeds to step S122. In step S122, the display control unit 30L generates the display screen 80 of the remaining life of the tool 59 (step S122). In step S122, the display control unit 30L generates the display screen 80 including information indicating the tool 59. Then, the process proceeds to step S124.

  In step S124, the display screen 80 generated in step S120 or S122 is displayed on the display unit 34 (step S124). Then, this routine ends.

  As described above, the diagnostic device 10 (information processing device) of the present embodiment includes the first acquiring unit 30D, the second acquiring unit 30E, the first identifying unit 30F, and the second identifying unit. 30G and an operation unit 30H. The first acquisition unit 30D acquires context information related to the processing history of the target device (the processing machine 20) that processes the target. The second acquisition unit 30E acquires the detection information of the physical quantity that changes according to the operation state of the target device (the processing machine 20). The first specifying unit 30F specifies, from the acquired context information, the cumulative processing amount of the tool 59 provided in the target device for processing the target. The second specifying unit 30G detects a wear model of the tool 59 and a detection model value of a physical quantity of a target device having the worn tool 59 from an unworn state to a measured wear value, and associates the detection model 32A ( In the first model), the measured wear value corresponding to the detected measured value corresponding to the acquired detection information is specified as the wear value of the tool 59. The calculation unit 30H calculates the remaining life of the tool 59 based on the accumulated machining amount and the wear value.

  As described above, the diagnostic device 10 of the present embodiment specifies the remaining life of the tool 59 using the context information and the detection information. For this reason, even when the tool 59 whose drive current of the driven motor does not change even when the wear state changes is the target for specifying the remaining life, the remaining life of the tool 59 can be accurately calculated.

  Therefore, the diagnostic device 10 of the present embodiment can accurately determine the remaining life of the tool 59.

  The operation unit 30H includes a first operation unit 30I, a second operation unit 30J, and a third operation unit 30K. The first arithmetic unit 30I calculates the machining amount model 32B (corresponding to the actual measured value of the wear of the tool 59 and the actual measured value of the accumulated machining amount of the object processed by the worn tool 59 from the unworn state. In the second model), the actual measured value of the accumulated machining amount corresponding to the measured actual wear value corresponding to the wear value is calculated. The second computing unit 30J computes, as the tool life of the tool 59, a multiplied value obtained by multiplying a divided value obtained by dividing the accumulated machining amount by the actually measured accumulated machining amount by a theoretical theoretical tool life specified from the wear value. . The third calculation unit 30 </ b> K calculates a subtraction value obtained by subtracting the accumulated machining amount from the tool life as the remaining life of the tool 59.

  The detection information is vibration data indicating the vibration of the tool 59. The detection information is sound data or sound wave data indicating a sound generated by the vibration of the tool 59. The cumulative processing amount indicates at least one of the cumulative cutting distance and the cumulative cutting time.

  The display control unit 30L displays the remaining life of the tool 59 on the display unit 34. The display control unit 30L displays the remaining life of the tool 59 and information indicating the tool 59 on the display unit 34.

  Receiving unit 30M receives designation of date information. The display control unit 30L displays a difference between the date and time indicated by the received date and time information and the current date and time on the display unit 34.

  The processing machine 20 (target device) of the information processing system 1000 according to the present embodiment includes the sensor 25 (detection unit, sensor 57) for detecting a physical quantity and the detected physical quantity to the diagnostic device 10 (information processing device). A transmission unit (sensor 25) for transmitting.

(Second embodiment)
In the present embodiment, a mode will be described in which it is determined whether the operation of the processing machine 20 is normal or abnormal, and when it is determined that the operation is abnormal, the remaining life of the tool 59 is obtained.

  An abnormality in the operation of the processing machine 20 includes any part (including the tool 59) provided in the processing machine 20, a drive failure, a control error, and a remaining life of the tool 59 of the processing machine 20 for processing. This includes cases where it is short enough to affect. Therefore, in the present embodiment, a description will be given of a mode in which the remaining life of the tool 59 is obtained when it is determined that the operation of the processing machine 20 is abnormal.

  FIG. 9 is a block diagram illustrating an example of a functional configuration of the information processing system 1000A according to the present embodiment. The information processing system 1000A includes a processing machine 20 and a diagnostic device 10A. The processing machine 20 and the diagnostic device 10A are connected so that data and signals can be exchanged. The processing machine 20 is the same as in the first embodiment. The hardware configuration of the diagnostic device 10A is the configuration shown in FIG. 3, and is the same as that of the diagnostic device 10.

  The functional configuration of the diagnostic device 10A will be described. The diagnostic device 10A includes a control unit 31, a storage unit 33, an operation unit 36, and a display unit 34. The control unit 31, the storage unit 33, the display unit 34, and the operation unit 36 are connected so that data and signals can be exchanged. The display unit 34 and the operation unit 36 are the same as in the first embodiment.

  The storage unit 33 stores various information. The storage unit 33 is realized by, for example, the HDD 65 of FIG. The storage unit 33 stores a detection model (first model) 32A, a machining amount model (second model) 32B, and a diagnostic model 32C in advance. The detection model 32A and the machining amount model 32B are the same as in the first embodiment.

  The diagnostic model 32C is generated for each piece of context information. The diagnostic model 32C defines detection information that is detected when the processing machine 20 is operating normally under the operation conditions indicated by the operation condition information included in the context information.

  In the control unit 31, the detection information detected when the processing machine 20 is operating normally and the context used as the basis of the control data output from the numerical control unit 21 to the drive unit 24 when the detection information is detected. The diagnostic model 32C is generated for each piece of context information using the information. The control unit 31 generates a diagnostic model 32C by learning. The learning method and the form of the diagnostic model 32C to be learned may be any method and form. For example, models such as GMM (Gaussian mixture model) and HMM (Hidden Markov Model) and corresponding model learning methods can be applied. In the storage unit 33, a model corresponding to the context information is stored in association with the model.

  The control unit 31 controls the diagnostic device 10A. The control unit 31 includes a communication control unit 30A, a first specification unit 31F, a second specification unit 31G, a calculation unit 30H, a reception unit 30M, a display control unit 30L, a feature extraction unit 30P, and a determination unit 30R.

  Communication control unit 30A, transmission unit 30B, acquisition unit 30C, first acquisition unit 30D, second acquisition unit 30E, first identification unit 31F, second identification unit 31G, arithmetic unit 30H, first arithmetic unit Part or all of 30I, the second calculation unit 30J, the third calculation unit 30K, the display control unit 30L, the reception unit 30M, the feature extraction unit 30P, and the determination unit 30R are provided to a processing device such as a CPU, for example. It may be realized by executing a program (that is, software), may be realized by hardware such as an IC, or may be realized together.

  The communication control unit 30A (the transmitting unit 30B, the acquiring unit 30C, the first acquiring unit 30D, the second acquiring unit 30E), the computing unit 30H (the first computing unit 30I, the second computing unit 30J, the third computing unit 30J). The calculation unit 30K), the reception unit 30M, and the display control unit 30L are the same as those in the first embodiment.

  The feature extracting unit 30P extracts feature information (feature amount) used in the determination of the determining unit 30R from the detection information acquired by the second acquiring unit 30E. The feature information may be any information as long as the information indicates the feature of the detection information. For example, when the detection information is sound data collected by a microphone as the sensor 25, the feature extracting unit 30P may extract features such as energy, a frequency spectrum, and an MFCC (mel frequency cepstrum coefficient). .

  The determining unit 30R determines whether the operation of the processing machine 20 is normal or abnormal based on the context information acquired by the first acquiring unit 30D and the detection information acquired by the second acquiring unit 30E. judge. In the present embodiment, the control unit 31 uses the diagnostic model 32C corresponding to the context information acquired by the first acquisition unit 30D and the detection information acquired by the second acquisition unit 30E, and Is determined to be normal or abnormal.

  For example, the determination unit 30R requests the feature extraction unit 30P to extract feature information from the detection information. The control unit 30 specifies the likelihood indicating the likelihood that the feature information extracted from the detection information is normal using the corresponding diagnostic model 32C. The control unit 30 compares the likelihood with a predetermined threshold, and determines that the operation of the processing machine 20 is normal, for example, when the likelihood is equal to or greater than the threshold. In addition, when the likelihood is less than the threshold, the determination unit 30R determines that the operation of the processing machine 20 is abnormal.

  The method of determining whether or not the status is normal is not limited to this, and any method may be used as long as it can determine whether or not the status is normal using the detection information and the diagnostic model 32C. For example, instead of directly comparing the value of the likelihood with the threshold, a value indicating the variation of the likelihood may be compared with the threshold.

  Then, when it is determined that the abnormality has occurred, the determination unit 30R outputs each of the context information and the detection information used for the determination of the abnormality to each of the first specifying unit 31F and the second specifying unit 31G.

  The first specifying unit 31F specifies the accumulated processing amount from the context information used for the determination unit 30R to determine an abnormality. Therefore, in the present embodiment, when it is determined that the operation of the processing machine 20 is abnormal, the first specifying unit 31F specifies the accumulated processing amount from the context information. Note that the method of specifying the cumulative processing amount by the first specifying unit 31F is the same as that of the first implementation except that the context information used for specifying the cumulative processing amount is the context information used for determining that the processing unit is abnormal in the determination unit 30R. This is the same as the first specifying unit 30F of the first embodiment.

  The second specifying unit 31G specifies the wear value of the tool 59 from the detection information used for the determination of the abnormality in the determination unit 30R. Therefore, in the present embodiment, when it is determined that the operation of the processing machine 20 is abnormal, the second specifying unit 31G specifies the wear value from the detection information. Note that the method of specifying the wear value by the first specifying unit 31F is the same as that of the first embodiment except that the detection information used for specifying the wear value is the detection information used for determining an abnormality in the determination unit 30R. This is the same as that of the second specifying unit 30G.

  Next, an example of the flow of information processing executed by the diagnostic device 10A will be described. FIG. 10 is a flowchart illustrating an example of the flow of information processing executed by the diagnostic device 10A.

  First, the first obtaining unit 30D obtains context information from the processing machine 20 (Step S200). Next, the second acquisition unit 30E acquires detection information from the sensor 25 of the processing machine 20 (Step S202).

  Next, the feature extracting unit 30P extracts feature information from the detection information acquired in step S202 (step S204). Next, the determination unit 30R determines whether the operation of the processing machine 20 is normal or abnormal based on the diagnostic model 32C corresponding to the context information acquired in step S200 and the detection information acquired in step S202. Is determined (step S206).

  Then, when the determining unit 30R determines that there is an abnormality (step S208: Yes), the process proceeds to step S210. In step S210, the first specifying unit 31F specifies the accumulated processing amount of the tool 59 provided in the processing machine 20 for processing the target object from the context information acquired in step S200 (step S210). Next, the second specifying unit 31G specifies the wear value of the tool 59 using the detection information acquired in Step S202 (Step S212).

  Next, the first computing unit 30I computes the actual measured value of the accumulated machining amount using the wear value specified in step S212 and the machining amount model 32B (step S214).

  Next, the second arithmetic unit 30J calculates a theoretical value obtained by dividing the cumulative machining amount specified in step S210 by the measured actual machining value calculated in step S214 from the wear value identified in step S212. The multiplication value obtained by multiplying the theoretical tool life is calculated as the tool life of the tool 59 (step S216).

  Next, the third calculation unit 30K calculates a subtraction value obtained by subtracting the accumulated machining amount specified in step S210 from the tool life (accumulated machining amount) computed in step S216 as the remaining life of the tool 59 (step S210). S218).

  Next, the display control unit 30L reads information indicating the tool 59 for which the remaining life has been calculated (step S220). Next, the display control unit 30L determines whether the receiving unit 30M has received the designation of the date and time information (Step S222).

  When the designation of the date and time information is received (step S222: Yes), the process proceeds to step S224. In step S224, the display control unit 30L specifies a difference (for example, another 30 days, another 10 hours, or the like) between the current date and time and the date and time indicated in the date and time information received in step S222 (step S224). .

  Next, the display control unit 30L generates a display screen 80 of the remaining life of the tool 59 (Step S226). In step S226, the display control unit 30L generates the display screen 80 including the information indicating the tool 59 and the information indicating the difference between the date and time specified in step S224. Then, the process proceeds to step S230.

  On the other hand, if a negative determination is made in step S222 (step S222: No), the process proceeds to step S228. In step S228, the display control unit 30L generates a display screen 80 of the remaining life of the tool 59 (step S228). In step S228, the display control unit 30L generates a display screen 80 including information indicating the tool 59. Then, the process proceeds to step S230.

  In step S230, the display screen 80 generated in step S226 or S228 is displayed on the display unit 34 (step S230). Then, this routine ends.

  As described above, the diagnosis device 10A (information processing device) of the present embodiment includes the determination unit 30R. The determination unit 30R determines whether the operation of the processing machine 20 (target device) is normal or abnormal based on the detection information and the context information. The first specifying unit 31F specifies the cumulative amount of processing performed by the tool 59 provided in the processing machine 20 on the target object from the context information used for determining the abnormality. The second specifying unit 31 </ b> G specifies, as the wear value of the tool 59, the measured wear value of the machining amount model 32 </ b> B corresponding to the detected measured value corresponding to the detection information used for the abnormality determination. Then, the calculation unit 30H calculates the remaining life of the tool 59 based on the accumulated machining amount and the wear value.

  Thus, in the diagnostic device 10A of the present embodiment, when the operation of the processing machine 20 is determined to be abnormal by the determination unit 30R, the remaining life of the tool 59 of the processing machine 20 is calculated. Therefore, the timing at which it is estimated that the remaining life of the tool 59 affects the operation of the processing machine 20, that is, the remaining life of the tool 59 is short enough to determine that the operation of the processing machine 20 is abnormal. The remaining life of the tool 59 can be calculated at the timing when it is estimated that the tool 59 has been reached.

  Therefore, in addition to the effects of the first embodiment, the diagnostic apparatus 10A of the present embodiment can accurately determine the remaining life of the tool 59 at an appropriate timing.

  The programs executed by the diagnostic device 10 and the diagnostic device 10A according to the above-described embodiment are provided by being incorporated in a ROM or the like in advance.

  The programs executed by the diagnostic device 10 and the diagnostic device 10A according to the above-described embodiment are files in an installable format or an executable format in a CD-ROM, a flexible disk (FD), a CD-R, a DVD (Digital Versatile Disk). ) May be recorded on a computer-readable recording medium and provided as a computer program product.

  Further, the program executed by the diagnostic device 10 and the diagnostic device 10A of the above embodiment may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. Good. Further, the program executed by the diagnostic device 10 and the diagnostic device 10A of the above embodiment may be provided or distributed via a network such as the Internet.

  The programs executed by the diagnostic device 10 and the diagnostic device 10A according to the above-described embodiment have a module configuration including the above-described units (the communication control unit, the determination unit, and the like), and the actual hardware is a CPU (processor). Reads the program from the ROM and executes the program, whereby the above-described units are loaded on the main storage device, and the respective units are generated on the main storage device.

  Although the embodiment has been described above, the embodiment is presented as an example and is not intended to limit the scope of the invention. The novel embodiment described above can be implemented in other various forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. The above-described embodiments and modified examples are included in the scope and the gist of the invention, and are also included in the invention described in the claims and their equivalents.

10, 10A Diagnostic device 20 Processing machine 30D First acquisition unit 30E Second acquisition unit 30F, 31F First identification unit 30G, 31G Second identification unit 30H Operation unit 30I First operation unit 30J Second operation Unit 30K third calculation unit 30M reception unit 30L display control unit 30R determination unit 34 display unit 1000 information processing system

Japanese Patent No. 4923409

Claims (12)

A first acquisition unit that acquires context information related to a processing history of a target device that processes an object;
A second acquisition unit that acquires detection information of a physical quantity that changes according to an operation state of the target device;
A first specifying unit that specifies, from the context information, a cumulative machining amount in which the tool provided in the target device has processed the target object;
The detection information in a first model in which the measured actual value of the tool is associated with the measured actual value of the physical quantity of the target device including the tool worn from an unworn state to the measured actual value of the tool. A second specifying unit that specifies the actual wear value of the tool corresponding to the actual measurement value of the tool as a wear value of the tool,
A calculating unit that calculates a remaining life of the tool based on the accumulated machining amount and the wear value;
An information processing device comprising: The arithmetic unit includes:
In accordance with the wear value in the second model in which the actual wear value of the tool and the actual measured value of the accumulated machining amount in which the tool has worn the object from the unworn state to the actual wear value have processed the object. A first calculation unit that calculates the cumulative machining amount actual value corresponding to the wear actual value;
A second calculating unit configured to calculate, as a tool life of the tool, a multiplied value obtained by multiplying a divided value obtained by dividing the accumulated machining amount by the actually measured accumulated machining amount by a theoretical theoretical tool life specified from the wear value; When,
A third calculation unit that calculates a subtraction value obtained by subtracting the accumulated machining amount from the tool life as the remaining life of the tool,
The information processing device according to claim 1, comprising:   The information processing apparatus according to claim 1, wherein the detection information is vibration data indicating vibration of the tool.   The information processing device according to claim 3, wherein the detection information is sound data or sound wave data indicating a sound generated by vibration of the tool.   The information processing apparatus according to claim 1, wherein the cumulative processing amount indicates at least one of a cumulative cutting distance and a cumulative cutting time.   The information processing apparatus according to claim 1, further comprising a display control unit configured to display a remaining life of the tool on a display unit.   The information processing device according to claim 6, wherein the display control unit displays the remaining life of the tool and information indicating the tool on the display unit. A reception unit that receives designation of date and time information is provided,
The information processing apparatus according to claim 6, wherein the display control unit displays a difference between a date and time indicated by the received date and time information and a current date and time on the display unit. The detection information and the context information, comprising a determination unit that determines whether the operation of the target device is normal or abnormal based on,
The first specifying unit specifies, from the context information used for the abnormality determination, a cumulative processing amount in which a tool provided in the target device processes a target object,
The second specifying unit, in the first model, specifies the wear measurement value corresponding to the detection measurement value corresponding to the detection information used to determine abnormality as a wear value of the tool.
The information processing apparatus according to claim 1. Acquiring context information related to a processing history of a target device that processes the target;
Acquiring detection information of a physical quantity that changes according to the operation state of the target device;
From the context information, a tool provided in the target device to specify the cumulative processing amount that has processed the target object,
The detection information in a first model in which the measured actual value of the tool is associated with the measured actual value of the physical quantity of the target device including the tool worn from an unworn state to the measured actual value of the tool. Identifying the wear measurement value corresponding to the detection measurement value according to the wear value of the tool,
Calculating the remaining life of the tool based on the accumulated machining amount and the wear value;
An information processing method including: Acquiring context information related to a processing history of a target device that processes the target;
Acquiring detection information of a physical quantity that changes according to the operation state of the target device;
From the context information, a tool provided in the target device to specify the cumulative processing amount that has processed the target object,
The detection information in a first model in which the measured actual value of the tool is associated with the measured actual value of the physical quantity of the target device including the tool worn from an unworn state to the measured actual value of the tool. Identifying the wear measurement value corresponding to the detection measurement value according to the wear value of the tool,
Calculating the remaining life of the tool based on the accumulated machining amount and the wear value;
Information processing program for causing a computer to execute. An information processing system including an information processing device and a target device,
The information processing device,
A first acquisition unit that acquires context information related to a processing history of a target device that processes an object;
A second acquisition unit that acquires detection information of a physical quantity that changes according to an operation state of the target device;
A first specifying unit that specifies, from the context information, a cumulative machining amount in which the tool provided in the target device has processed the target object;
The detection information in a first model in which the measured actual value of the tool is associated with the measured actual value of the physical quantity of the target device including the tool worn from an unworn state to the measured actual value of the tool. A second specifying unit that specifies the actual wear value of the tool corresponding to the actual measurement value of the tool as a wear value of the tool,
A calculating unit that calculates a remaining life of the tool based on the accumulated machining amount and the wear value;
With
The target device,
A detection unit that detects the physical quantity,
A transmitting unit that transmits the detected physical quantity to the information processing apparatus,
An information processing system comprising:

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