JP6859764B2 - Information processing equipment, information processing methods, information processing programs, and information processing systems - 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.

A technique for diagnosing an abnormality in a target device such as a processing machine from the outside of the target device is known.

For example, in Patent Document 1, there is a difference between the operating sound data of a unit (drum motor, paper feeding motor, fixing motor, developing clutch, etc.) collected in advance and the operating sound data collected by operating the image forming apparatus. A technique for detecting an abnormal sound when the level is above a predetermined level is disclosed. Further, Patent Document 2 discloses a system for determining that there is an abnormality in the device when the peak of the sound pressure level appearing in the waveform of the sound data collected by the sound collecting means exceeds a specified value.

However, the sound data used for the abnormality diagnosis in the prior art may include sound data other than the period to be diagnosed, and the accuracy of the abnormality diagnosis may be lowered. In addition, it was difficult to accurately identify the period to be diagnosed in the sound data. Therefore, in the past, it has been difficult to accurately diagnose an abnormality in the target device.

The present invention has been made in view of the above, and an object of the present invention is to improve the accuracy of abnormality diagnosis.

In order to solve the above-mentioned problems and achieve the purpose, the information processing apparatus includes a first acquisition unit that acquires detection information of a physical quantity that changes according to the operating status of the target apparatus that processes the object, and a predetermined acquisition unit. A second acquisition unit that transmits an acquisition request to the target device at a time and acquires context information regarding the operating state of the target device as a response to the acquisition request, and a predetermined device that transmits the context information and the acquisition request. Based on the time of, the specific unit that specifies the processing period from which the non-processing period during non-processing of the object by the target device is removed, and the processing period detection information of the specified processing period in the detection information are extracted. Based on the extraction unit, the processing period detection information, and the context information used to specify the processing period, a determination unit that determines the occurrence of a defect related to processing by the target device during the processing period. Be prepared.

According to the present invention, there is an effect that the accuracy of abnormality diagnosis can be improved.

FIG. 1 is a schematic diagram showing an outline of a configuration example of an information processing system. FIG. 2 is a block diagram showing an example of the hardware configuration of the processing machine. FIG. 3 is a block diagram showing an example of the hardware configuration of the diagnostic device. FIG. 4 is a block diagram showing an example of each functional configuration of the processing machine and the diagnostic apparatus. FIG. 5 is a schematic diagram showing an example of the data structure of the detection information management DB. FIG. 6 is a schematic diagram showing an example of the data structure of the context management DB. FIG. 7 is a schematic diagram showing an example of the data structure of the processing period management DB. FIG. 8 is a flowchart showing an example of sound data acquisition processing. FIG. 9 is a flowchart showing an example of the abnormality determination process. FIG. 10 is an explanatory diagram of processing period sound data. FIG. 11 is a block diagram showing an example of the functional configuration of the information processing system. FIG. 12 is a flowchart showing an example of the abnormality determination process.

An embodiment of an information processing apparatus, 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 this embodiment, a mode in which the information processing device is applied to the diagnostic device will be described as an example.

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

The information processing system 1000 includes a processing machine 20 and a diagnostic device 10. The diagnostic device 10 and the processing machine 20 are communicably connected to each other. 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 that is a target of abnormality diagnosis 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 tools 59 (see FIG. 2) such as a drill, a cutter, and a table. The machine tool 23 uses the tool 59 to process an object.

The diagnostic device 10 is a device for diagnosing the processing machine 20. In the present embodiment, the diagnostic apparatus 10 determines the occurrence of a defect related to processing by the processing machine 20.

FIG. 2 is a block diagram showing an example of the hardware configuration of the processing machine 20. As shown in FIG. 2, the processing machine 20 drives 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 the like. The control circuit 55 and the sensor 57 are connected by a bus 58.

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

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 showing an example of the 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, and an HDD (Hard Disk Drive) 65 are connected by a bus 66.

The CPU 61 controls the entire diagnostic device 10. The CPU 61 controls the operation of the entire diagnostic device 10 and realizes a diagnostic function by executing a program stored in the ROM 62 or the like with the RAM 63 as a work area (work area), for example. The communication I / F64 is an interface for communicating with an external device such as the processing machine 20. The HDD 65 stores various data. Instead of the HDD 65, or together with the HDD 65, a non-volatile storage means such as an EEPROM (Electrically Erasable Programmable Read-Only Memory) or an SSD (Solid State Drive) may be provided.

FIG. 4 is a block diagram showing an example of the 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 includes a sensor 25 and a drive unit 24.

The drive unit 24 drives a tool 59 such as a drill under the control of the numerical control unit 21. The object is machined 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 type as long as it is used for processing and is subject to numerical control. Further, the machine tool 23 may include a plurality of drive units 24.

In the processing machine 20, the number of tools 59 that operate at a time will be described as one. That is, even if the machine tool 23 is configured to include a plurality of drive units 24 and tools 59, it is assumed that 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 operating status of the processing machine 20. The sensor 25 transmits the detection information (sensor data) that detects the 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 is data indicating vibration when the object is machined by the tool 59. The data indicating vibration includes vibration data indicating vibration itself, sound data of sound generated by vibration (sometimes referred to as acoustic data), sound wave data of sound waves generated by vibration (AE wave data), and acceleration generated by vibration. The acceleration data of. 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 blade of the tool 59 used for machining is broken, the blade of the tool 59 is chipped (damage of the tool 59), or the tool 59 is worn, the data indicating vibration such as the sound emitted from the tool 59 changes. To do. Further, even when the bearing of the motor 56 for driving the tool 59 deteriorates with time, or when foreign matter or the like adheres to the bearing, the data indicating vibration such as a sound emitted from the motor 56 during processing changes. Therefore, in the present embodiment, the diagnostic apparatus 10 determines the occurrence of a defect related to machining by the processing machine 20 by using the detection information of data indicating vibration such as sound data detected by the sensor 25 (details will be described later).

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 for detecting the same physical quantity, or may be configured to detect different physical quantities. The configuration may include the sensor 25 of the above.

The numerical control unit 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. The numerical control unit 21 generates control data according to the type of operation (type of processing) corresponding to each processing process according to the execution order of the processing processes set in advance, and outputs the control data to the drive unit 24. As a result, the drive unit 24 executes the operation shown in the control data and drives the tool 59 to process the object.

Further, the numerical control unit 21 transmits the context information regarding the operating state of the drive unit 24 to the diagnostic device 10. That is, the numerical control unit 21 transmits the context information regarding the operating state indicated in the control data currently transmitted (or immediately transmitted) to the drive unit 24 to the diagnostic device 10.

The context information is information transmitted by the numerical control unit 21 to the machine tool 23 in order to control the machine tool 23 (specifically, the drive unit 24), and includes operation state information indicating the operation state of the drive unit 24. .. In the present embodiment, the context information is information determined for each type of operation (type of machining) performed by the machine tool 23 (specifically, the drive unit 24).

The operation state information includes a value indicated by each of a plurality of types of operation items of different types. That is, the operation state information included in the context information consists of the values of each of a plurality of operation items of different types.

The operation items indicate each item of the operation state shown in the control data transmitted (or will be transmitted) immediately before from the numerical control unit 21 to the drive unit 24. The operation items include, for example, the operation status of the processing machine 20 (specifically, the drive unit 24), the shaft movement state, the drill rotation speed, the load applied to the tool (drill or the like) 59, the processing discrimination condition, and the like.

The value indicated by the operation item "operating status of the processing machine 20" indicates, for example, "in operation" indicating that the processing machine 20 (specifically, the drive unit 24) is in operation, or that the processing machine 20 is stopped. Indicates "stopped". The value indicated by the operation item "axis movement state" is, for example, "high-speed movement" indicating that the movement state of the axis of the tool 59 of the processing machine 20 is high-speed movement, or "cutting movement" indicating that the movement is cutting. ".

The value indicated by the operation item "drill rotation speed" is the rotation speed (rpm) of the tool (for example, the drill) 59 of the processing machine 20. The value indicated by the operation item “load” is the value (%) of the load applied to the tool 59 of the processing machine 20.

The operation item "machining determination condition" indicates a condition for the machine tool 23 to determine that the object is being machined with respect to the values indicated by other operation items included in the context information. The value indicated by this operation item "machining determination condition" is, for example, a threshold value of the rotation speed of the drill. In this case, when the drill rotation speed indicates a value equal to or higher than the value indicated by the "machining determination condition", it can be determined that the processing machine 20 is processing the object. The operation item "machining determination condition" included in one context information may be one type or a plurality of types.

The number and types of operation items included in the context information are not limited. However, the context information may include at least one operation item among the plurality of operation items shown in the control data. From the viewpoint of improving the diagnostic accuracy, it is preferable that the number of operation items included in the context information transmitted from the processing machine 20 to the diagnostic apparatus 10 is large. On the other hand, from the viewpoint of shortening the diagnosis time, it is preferable that the number of operation items included in the context information transmitted from the processing machine 20 to the diagnosis device 10 is small.

In the present embodiment, the context information includes at least a kind of operation item that can be used for determining the processing period on the diagnostic apparatus 10 side.

The communication control unit 22 controls communication with an external device such as the diagnostic device 10. The communication control unit 22 receives a request for acquiring context information from the diagnostic device 10. Further, the communication control unit 22 transmits the context information to the diagnostic device 10 in response to the acquisition request. In other words, the numerical control unit 21 transmits context information to the diagnostic device 10 via the communication control unit 22.

Next, the functional configuration of the diagnostic apparatus 10 will be described. The diagnostic device 10 includes a measurement control unit 30, a main control unit 40, and a timer 49. The measurement control unit 30, the main control unit 40, and the timer 49 are connected to each other so that data and signals can be exchanged.

The timer 49 corresponds to a date and time timer. The timer 49 is a timer that transmits date and time information. The measurement control unit 30 and the main control unit 40 obtain the date and time information by acquiring the date and time information from the timer 49. A time stamp may be obtained as the date and time information.

The measurement control unit 30 communicates with the processing machine 20. The main control unit 40 controls the measurement control unit 30.

In this embodiment, an example in which the measurement control unit 30 and the main control unit 40 are functionally separated from each other is shown. However, the measurement control unit 30 and the main control unit 40 may be functionally integrated. Further, the measurement control unit 30 and the main control unit 40 may be configured as separate bodies in terms of hardware configuration. In this case, each of the measurement control unit 30 and the main control unit 40 may have the hardware configuration shown in FIG. Regardless of whether the measurement control unit 30 and the main control unit 40 are provided as separate bodies in terms of functionality or hardware configuration, the timer 49 is operated by both the measurement control unit 30 and the main control unit 40. Used to get the time stamp.

The main control unit 40 includes a task control unit 41, a specific unit 42, an extraction unit 43, a determination unit 44, and a storage unit 45. The measurement control unit 30 includes a second communication control unit 31, a first storage unit 34, a first communication control unit 35, and a second storage unit 37. The second communication control unit 31 includes a second acquisition unit 33. The first communication control unit 35 includes a first acquisition unit 36.

Part or all of the second communication control unit 31, acquisition unit 33, first communication control unit 35, first acquisition unit 36, task control unit 41, specific unit 42, extraction unit 43, and determination unit 44. For example, may be realized by causing a processing device such as a CPU to execute a program (that is, software), may be realized by hardware such as an IC (Integrated Circuit), or may be realized in combination. May be good.

The task control unit 41 of the main control unit 40 controls the task to be executed by the diagnostic device 10. In the present embodiment, the task control unit 41 outputs a detection information acquisition start instruction and a context information acquisition request to the measurement control unit 30.

In the following, in order to make the explanation easier to understand, the case where the detection information is sound data will be described as an example. Therefore, the task control unit 41 will explain the case where the sound data acquisition start instruction is output to the measurement control unit 30 as the detection information acquisition start instruction.

Specifically, the task control unit 41 outputs a sound data acquisition start instruction to the first communication control unit 35 of the measurement control unit 30. The first communication control unit 35 controls communication with the sensor 25 of the processing machine 20.

The first acquisition unit 36 acquires the detection information from the sensor 25. That is, the first acquisition unit 36 acquires the detection information of the physical quantity that changes according to the operating state of the processing machine 20 that processes the object. In the present embodiment, when the first acquisition unit 36 receives the sound data acquisition start instruction from the task control unit 41, the first acquisition unit 36 starts acquiring the sound data from the sensor 25.

The first acquisition unit 36 stores the acquired sound data in the second storage unit 37 (second storage unit) in association with the acquisition date / time information of the sound data. The first acquisition unit 36 acquires the date and time information when the sound data is acquired from the timer 49, and uses the acquired date and time information as the acquisition date and time information of the sound data. Then, the first acquisition unit 36 stores the acquired sound data and the acquisition date / time information in the second storage unit 37 in association with each other. The second storage unit 37 is a buffer for storing the sound data acquired by the first acquisition unit 36.

When the first acquisition unit 36 receives the sound data acquisition start instruction, the first acquisition unit 36 acquires the sound data output from the sensor 25 as sound data divided by predetermined sampling times, and uses the acquired acquisition date and time information as the sound data. Correspondingly, the data is sequentially stored in the second storage unit 37.

Specifically, the second storage unit 37 stores the detection information management DB 37A. The detection information management DB 37A is a database for storing the sound data acquired by the first acquisition unit 36. FIG. 5 is a schematic diagram showing an example of the data structure of the detection information management DB 37A. The detection information management DB 37A associates the sound ID, the acquisition date / time information, and the sound data.

The first acquisition unit 36 acquires the sound data output from the sensor 25 as sound data divided for each predetermined sampling time, associates it with the acquired acquisition date and time information, and stores it in the detection information management DB 37A. .. The sound ID is identification information of sound data.

The first acquisition unit 36 repeatedly executes the acquisition of sound data and the storage in the detection information management DB 37A until the system operation end instruction is received.

The explanation will be continued by returning to FIG. The task control unit 41 outputs a request for acquiring context information to the measurement control unit 30. The second communication control unit 31 of the measurement control unit 30 receives a request for acquiring context information from the task control unit 41. The second communication control unit 31 controls communication with the processing machine 20 and an external device. The second communication control unit 31 includes a second acquisition unit 33. The second acquisition unit 33 transmits an acquisition request to the processing machine 20 at a predetermined time, and acquires context information regarding the operating state of the processing machine 20 as a response to the acquisition request.

Specifically, when the second acquisition unit 33 receives the context information acquisition request from the task control unit 41, the second acquisition unit 33 transmits the context information acquisition request to the processing machine 20.

When the communication control unit 22 of the processing machine 20 receives a request for acquisition of context information from the diagnostic device 10, the numerical control unit 21 of the processing machine 20 sends the context information regarding the operating state to the diagnostic device 10 via the communication control unit 22. To send.

As a result, the second acquisition unit 33 acquires context information from the processing machine 20.

Then, each time the second acquisition unit 33 acquires the context information from the processing machine 20, the acquired context information is associated with the predetermined time when the acquisition request corresponding to the context information is transmitted, and the first acquisition unit 33 associates the acquired context information with the predetermined time when the acquisition request corresponding to the context information is transmitted. It is stored in the storage unit 34. In the following, a predetermined time when the acquisition request is transmitted will be referred to as transmission date and time information.

The transmission date / time information is information indicating the transmission date / time of the acquisition request transmitted from the diagnostic apparatus 10 to the processing machine 20 in order to acquire the context information.

The second acquisition unit 33 acquires the date and time information when the context information acquisition request is transmitted to the processing machine 20 from the timer 49, and uses the acquired date and time information as the transmission date and time information of the acquisition request. Then, the second acquisition unit 33 stores the acquired context information and the transmission date / time information in the first storage unit 34 in association with each other.

The first storage unit 34 stores various data. The first storage unit 34 is realized by, for example, HDD 65 (see FIG. 3). In the present embodiment, the first storage unit 34 stores the context management DB 34A.

The context management DB 34A is a database for storing the context information acquired from the processing machine 20. FIG. 6 is a schematic diagram showing an example of the data structure of the context management DB 34A. The context management DB 34A associates the context ID, the transmission date / time information, and the context information.

Each time the second acquisition unit 33 acquires the context information, the context information acquired from the communication control unit 22, the transmission date / time information of the acquisition request transmitted to the processing machine 20 to acquire the context information, and the context. The ID and the ID are associated with each other and registered in the context management DB 34A. The context ID is the identification information of the corresponding context information.

The identification unit 42 of the main control unit 40 specifies the processing period during which the processing machine 20 is processing the object based on the context information and the predetermined time (transmission date / time information) at which the acquisition request is transmitted. The machining period is a period during which the tool 59 provided on the machine tool 23 is machining the object.

The specification of the processing period will be described in detail. First, the specific unit 42 determines the context information indicating that processing is being performed among the context information acquired by the second acquisition unit 33.

In the determination of the context information indicating that the processing is in progress, the value indicated by each of the plurality of operation items included in the context information is used.

In addition, the specific unit 42 reads the discrimination conditions used for this discrimination. Then, the specific unit 42 discriminates the context information in which the value indicated by each of the plurality of operation items satisfies the read discrimination condition as the context information indicating that the processing is in progress.

The specific unit 42 uses at least one of the discrimination condition stored in advance and the processing discrimination condition included in the context information of the discrimination target as the discrimination condition of the context information indicating that the processing is in progress.

For example, when the determination condition is stored in advance, the specific unit 42 uses the determination condition as a determination condition as to whether or not the context information is being processed. Further, for example, when the context information includes the operation item "machining determination condition", the specific unit 42 determines whether the context information is processing the value indicated by the operation item "machining determination condition" included in the context information. It is used as a condition for determining whether or not.

Further, the specific unit 42 may use both the discrimination condition stored in advance and the processing discrimination condition included in the context information of the discrimination target as the discrimination condition.

For example, it was determined in advance that the value indicated by the operation item "operating status of the processing machine 20" was "in operation" and the value indicated by the operation item "axis movement state" was "cutting movement". Assume. Further, it is assumed that the acquired context information includes the operation item "machining discrimination condition", and the value indicated by this "machining discrimination condition" (for example, the threshold value of the drill rotation speed) is 1000 rpm.

In this case, the specific unit 42 is processing the context information corresponding to the context IDs “0006” and “0007” that satisfy these determination conditions among the context information stored in the context management DB 34A in FIG. It is determined as context information indicating that.

Then, the specifying unit 42 specifies the period indicated by the transmission date / time information corresponding to the context information determined to be being processed in the context management DB 34A as the processing period. Specifically, it is assumed that the specific unit 42 determines, in the context management DB 34A, a plurality of context information in which transmission date and time information is continuous in chronological order as a group of context information indicating that processing is in progress. In this case, the specific unit 42 sets the transmission date / time information of the earliest (oldest) context information acquisition request of the transmission date / time information among the continuous context information belonging to the group being processed as the start date / time of the processing period. To do. In addition, the specific part 42
Is the communication date / time information of the latest (latest) context information of the transmission date / time information among the continuous context information belonging to the group, or the communication date / time information corresponding to the context information acquired next to the context information. It may be the end date and time of the processing period.

Returning to FIG. 4, the explanation will be continued. The extraction unit 43 extracts the sound data (processing period detection information) of the processing period specified by the specific unit 42 in the sound data (detection information) acquired by the first acquisition unit 36. That is, the extraction unit 43 extracts the sound data of the period corresponding to the processing period from the sound data acquired by the first acquisition unit 36.

Specifically, the extraction unit 43 is a period indicated by the acquisition date / time information corresponding to the transmission date / time information indicated by the processing period specified by the specific unit 42 in the sound data (detection information) acquired by the first acquisition unit 36. Extract the processing period detection information.

The extraction process performed by the extraction unit 43 will be described in detail.

In the present embodiment, in the diagnostic device 10, each time the second acquisition unit 33 acquires the context information and registers it in the context management DB 34A, the specific unit 42 is the context information indicating that the context information is being processed. It is determined whether or not the sound data is being processed, and the extraction unit 43 repeats the process of extracting the sound data at the timing corresponding to the context information determined to be being processed, thereby extracting the sound data during the processing period.

By this repeated process, from the date and time indicated in the transmission date and time information corresponding to the context information determined to be being processed by the specific unit 42 to the date and time indicated in the transmission date and time information corresponding to the context information determined to be non-processing next. The period of is specified as the processing period. That is, the period indicated by the group of transmission date / time information corresponding to the continuously acquired context information during processing is specified as the processing period.

Then, each time the context information acquired by the second acquisition unit 33 is determined to be being processed, the extraction unit 43 matches the date and time information indicated by the transmission date and time information of the context information, or precedes the date and time information ( The sound data corresponding to the acquired date and time information, which is the oldest) and the date and time information of the closest date and time, is extracted from the detection information management DB 37A. Then, the extraction unit 43 stores the extracted sound data in the storage unit 45 in association with the acquisition date / time information.

By repeating this process, the extraction unit 43 extracts the sound data (processing period detection information) of the processing period specified by the specific unit 42 in the sound data (detection information) acquired by the first acquisition unit 36. That is, the extraction unit 43 extracts the sound data of the period corresponding to the processing period from the sound data acquired by the first acquisition unit 36, and stores it in the storage unit 45.

The storage unit 45 stores the extracted sound data. The storage unit 45 is composed of, for example, an HDD 65.

Specifically, the storage unit 45 stores the processing period management DB 45A. FIG. 7 is a schematic diagram showing an example of the data structure of the processing period management DB 45A. The processing period management DB 45A associates the processing period ID, the processing / non-processing determination result, the period, the date and time information, and the sound data.

The processing period ID is identification information that identifies each of the processing periods. The processed / non-processed discrimination result is a processing / non-processing discrimination result (during processing or non-processing) of the context information by the specific unit 42. The period in the processing period management DB 45A indicates the processing period. The date and time information in the processing period management DB 45A is date and time information indicating the start and end of the processing period. The sound data in the processing period management DB 45A is the sound data extracted by the extraction unit 43. Therefore, only the sound data (machining period detection information) of the machining period is registered in the machining period management DB 45A.

Returning to FIG. 4, the determination unit 44 generates a defect related to machining by the machining machine 20 during the machining period based on the sound data of the machining period (machining period detection information) and the context information used for specifying the machining period. To judge. In the following, the sound data of the processing period (processing period detection information) will be referred to as the processing period sound data.

First, the determination unit 44 extracts feature information (feature amount) indicating the features of the processing period sound data. The feature information may be any information as long as it is information indicating the features of the processing period sound data. For example, when the detection information is sound data collected by a microphone, the determination unit 44 may extract features such as energy, frequency spectrum, and MFCC (mel frequency cepstrum coefficient).

Then, the determination unit 44 calculates the likelihood of the feature information extracted from the processing period sound data using the corresponding model 45B. The likelihood of the feature information indicates the likelihood that the operation of the processing machine 20 is normal.

The model 45B is information that defines the feature information of the detection information that is detected when the processing machine 20 is operating normally in the operation state indicated by the context information. The model 45B is prepared in advance by being measured in advance using the processing machine 20 for each context information.

The determination unit 44 learns in advance the model 45B corresponding to each of the context information by using the feature information of the detection information detected when the processing machine 20 is operating normally. The learning method and the format of the model to be learned may be any method. For example, models such as GMM (Gaussian mixed model) and HMM (Hidden Markov model) and corresponding model learning methods can be applied. Then, the determination unit 44 may store the model 45B generated by the learning in the storage unit 45 in advance in association with the context information used for the learning. The model 45B may be generated by an external device and stored in the storage unit 45 in advance.

Then, the determination unit 44 uses the model 45B of the context information corresponding to the processing period sound data to determine the likelihood of the feature information extracted from the processing period sound data when determining the occurrence of a defect related to processing by the processing machine 20. calculate. The determination unit 44 compares the likelihood with a predetermined threshold value, 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 value. Further, the determination unit 44 determines that the operation of the processing machine 20 is abnormal when the likelihood is less than the threshold value.

The determination unit 44 may determine the occurrence of a defect related to processing by the processing machine 20 during the processing period based on the processing period sound data and the context information used for specifying the processing period. The determination method is not limited to the determination method described above. For example, the determination unit 44 may compare the value indicating the fluctuation of the likelihood with the threshold value instead of directly comparing the value of the likelihood with the threshold value.

Then, the determination unit 44 outputs the determination result. For example, the determination unit 44 outputs the determination result to an external device, a display unit, or the like.

Next, the procedure of information processing executed by the diagnostic apparatus 10 of the present embodiment will be described. 8 and 9 are flowcharts showing an example of information processing executed by the diagnostic apparatus 10 of the present embodiment.

First, the acquisition process of sound data (detection information) included in the information processing executed by the diagnostic apparatus 10 of the present embodiment will be described. Note that FIG. 8 is a flowchart showing an example of the sound data acquisition process.

First, the first acquisition unit 36 receives the sound data acquisition start instruction from the task control unit 41 (step S100). Upon receiving the sound data acquisition start instruction, the first acquisition unit 36 starts acquiring the sound data from the sensor 25 (step S102).

The first acquisition unit 36 acquires the date and time information from the timer 49 (step S104), and repeats the negative determination until it is determined that the predetermined sampling time has elapsed (step S106: No). Then, when the first acquisition unit 36 determines that the predetermined sampling time has elapsed (step S106: Yes), the first acquisition unit 36 proceeds to step S108.

It is assumed that this sampling time is shorter than the processing time for the diagnostic apparatus 10 to perform a series of processing of steps S202 to S234 (see FIG. 9) described later.

The first acquisition unit 36 stores the acquired sound data in the detection information management DB 37A in association with the acquired sound data, using the date and time information acquired in step S104 as the acquisition date and time information (step S108).

Then, the first acquisition unit 36 determines whether or not the system operation end instruction has been received (step S110). The system operation end instruction is a signal indicating the end of all operations in the information processing system 1000. If a negative determination is made in step S110 (step S110: No), the process proceeds to step S102. If an affirmative judgment is made in step S110 (step S110: Yes), this routine ends.

The first acquisition unit 36 repeatedly executes the processes of steps S102 to S108 until a positive judgment is made in step S110, so that the sound data for the sampling time is sequentially stored in the detection information management DB 37A (see FIG. 5). It will be done.

Next, the abnormality determination process included in the information processing executed by the diagnostic apparatus 10 of the present embodiment will be described. FIG. 9 is a flowchart showing an example of the abnormality determination process.

First, the task control unit 41 outputs a sound data acquisition start instruction to the first communication control unit 35 (first acquisition unit 36) of the measurement control unit 30 (step S200). By the process of step S200, the sound data acquisition process described with reference to FIG. 8 is started.

Next, the task control unit 41 outputs a context information acquisition request to the second acquisition unit 33 (step S202). The second acquisition unit 33, which has received the context information acquisition request, transmits the context information acquisition request to the processing machine 20 (step S204).

The second acquisition unit 33 acquires date and time information from the timer 49 (step S206). As a result, the second acquisition unit 33 acquires the date and time information (transmission date and time information) indicating the transmission date and time of the acquisition request in step S202.

Next, the second acquisition unit 33 acquires context information from the processing machine 20 (step S208). Next, the second acquisition unit 33 stores the date and time information acquired in step S206 as transmission date and time information in the context management DB 34A of the first storage unit 34 in association with the context information acquired in step S208 (). Step S210).

Next, the specific unit 42 reads the determination condition during processing regarding the context information acquired in step S208 (step S212). In step S212, the identification unit 42 reads both the discrimination condition stored in advance and the processing discrimination condition included in the context information acquired in step S208 as the discrimination condition.

Here, it is a determination condition memorized in advance that the value indicated by the operation item "operation status of the processing machine 20" is "in operation" and the value indicated by the operation item "axis movement state" is "cutting movement". The explanation will be made on the assumption that it has been used. Further, it is assumed that the operation item "machining discrimination condition" is included in the context information acquired in step S208, and the value indicated by this "machining discrimination condition" (for example, the threshold value of the drill rotation speed) is 1000 rpm. ..

Next, the specific unit 42 determines whether or not the context information acquired in step S208 indicates that processing is in progress (step S214). The identification unit 42 determines in step S214 by determining whether or not the context information acquired in step S208 satisfies the determination condition read in step S212.

When it is determined that the context information indicates that processing is in progress (step S214: Yes), the process proceeds to step S216. The identification unit 42 specifies that the date and time of the date and time information (transmission date and time information) acquired in step S206 is the date and time within the processing period, and the date and time information (transmission date and time information) and the processing / non-processing determination result “ "Processing" and the period "machining period" are associated with each other and registered in the machining period management DB 45A (step S216).

Next, the extraction unit 43 extracts the sound data corresponding to the acquisition date / time information immediately before the date / time information (that is, the date / time information (transmission date / time information) acquired in step S206) from the detection information management DB 37A (step S218). ).

Next, the extraction unit 43 determines whether or not the determination result in the previous step S214 is “in process” (step S220). If the previous determination result is "processing" (step S220: Yes), the process proceeds to step S222.

In step S222, the extraction unit 43 connects the sound data extracted in step S218 to the previously extracted sound data and registers it in the processing period management DB 45A as one sound data (step S222). The sound data extracted last time is the sound data registered in the processing period management DB 45A in the processing of the previous step S222 by the determination of "processing" in the previous step S214. Then, the process proceeds to step S230.

On the other hand, if it is determined in step S220 that the previous determination result is "non-processing" (step S220: No), the process proceeds to step S224. In the case of the first determination in step S220 after the processing in step S200, a negative determination is made in step S220 (step S220: No), and the process proceeds to step S224.

In step S224, the extraction unit 43 assigns a new processing period ID, and the processing / non-processing determination result “processing”, the period “processing period”, and the date and time information (transmission date and time information) acquired in step S206. The sound data extracted in step S218 is stored in association with the processing period management DB 45A (step S224). Then, the process proceeds to step S230.

On the other hand, if it is determined that the context information acquired in step S208 does not indicate processing (that is, non-processing) (step S214: No), the process proceeds to step S226.

In step S226, the extraction unit 43 determines whether or not the determination result of the previous step S214 is “in process” (step S226). If the previous determination result is not “in process” (step S226: No), the process proceeds to step S230. If the previous determination result is "processing" (step S226: Yes), the process proceeds to step S228.

In step S228, the extraction unit 43 reads the transmission date / time information corresponding to the context information acquired in step S208 from the context management DB 34A. Then, the extraction unit 43 manages the read transmission date and time as the end date and time of the processing period corresponding to the processing period ID corresponding to the sound data registered in the processing period management DB 45A at the time of determining that the previous processing is in progress. Register with DB45A (step S228). Then, the process proceeds to step S230.

By the processing of steps S200 to S226, every time the second acquisition unit 33 acquires the context information, the sound data corresponding to the transmission date / time information corresponding to the acquisition date / time information of the context information being processed is detected from the detection information management DB 37A. It is extracted and sequentially registered in the processing period management DB 45A as sound data of the processing period. Further, while the acquired context information is continuously determined to be being processed, it corresponds to the transmission date / time information of the context information acquisition request in the detection information management DB 37A (the previous date / time information or the same date / time information). ) Is extracted from the detection information management DB 37A and registered as continuous sound data in the processing period management DB 45A. Further, when it is determined that the processing is in progress and then the processing is in progress, the transmission date and time information of the context information acquisition request used for determining that the processing is in progress is used as the end timing of the processing period. It is registered in the management DB 45A.

Further, the sound data corresponding to the acquisition date / time information according to the transmission date / time information of the context information acquisition request used for determining that the processing is not being performed is not extracted from the detection information management DB 37A, and is not extracted from the detection information management DB 37A, and is stored in the processing period management DB 45A. Not registered.

Therefore, the processing period sound data is registered in the processing period management DB 45A for each continuous period (machining period) determined to be during processing.

In step S230, the determination unit 44 has a defect related to machining by the machining machine 20 during the machining period based on the machining period sound data registered in the machining period management DB 45A and the context information used for specifying the machining period. The occurrence is determined (step S230).

Then, the determination unit 44 outputs a determination result (information indicating normal operation or abnormal operation) (step S232). Next, the task control unit 41 determines whether or not to end the machining process (step S234). For example, the task control unit 41 determines in step S234 by determining whether or not a signal indicating a pause has been received.

When continuing the processing (step S234: No), the process returns to step S202. On the other hand, when the processing is completed (step S234: Yes), the process proceeds to step S236.

In step S236, the task control unit 41 determines whether or not to end the operation of the information processing system 1000 (step S236). For example, the task control unit 41 determines in step S236 by determining whether or not an operation instruction such as turning off the power of the diagnostic device 10 has been received.

If the system operation is to be continued (step S236: No), the process returns to step S202. On the other hand, when the system operation is terminated (step S236: Yes), the process proceeds to step S238. In step S238, the system operation end instruction is output to the first communication control unit 35 of the measurement control unit 30 (step S238). By the process of step S238, the first acquisition unit 36 ends the acquisition process of the sound data from the sensor 25. Then, this routine is terminated.

As described above, the diagnostic device 10 (information processing device) of the present embodiment has a first acquisition unit 36, a second acquisition unit 33, a specific unit 42, an extraction unit 43, and a determination unit 44. And. The first acquisition unit 36 acquires detection information of a physical quantity that changes according to the operating status of the processing machine 20 (target device) that processes the object. The second acquisition unit 33 transmits an acquisition request to the processing machine 20 at a predetermined time, and acquires context information regarding the operating state of the processing machine 20 as a response to the acquisition request. The identification unit 42 specifies the processing period during which the target device is processing the object based on the context information and the predetermined time (transmission date / time information) at which the acquisition request is transmitted. The extraction unit 43 extracts the processing period sound data (processing period detection information) of the specified processing period in the detection information. The determination unit 44 determines the occurrence of a defect related to machining by the machining machine 20 (target device) during the machining period based on the machining period detection information and the context information used for specifying the machining period.

As described above, the diagnostic apparatus 10 of the present embodiment specifies the processing period based on the context information. Then, the diagnostic device 10 extracts the processing period sound data of the specified processing period from the sound data acquired by the first acquisition unit 36. Then, the determination unit 44 determines the occurrence of a defect related to processing by the processing machine 20 by using the processing period sound data.

FIG. 10 is an explanatory diagram of processing period sound data. As shown in FIG. 10, the detection information 62 such as sound data acquired by the first acquisition unit 36 from the sensor 25 includes the detection information such as the sound generated during the processing period 64A while the processing machine 20 is processing the object. 62A and detection information 62B such as a sound generated in a non-processing period 64B other than the processing period 64A are included. Therefore, the diagnostic device 10 of the present embodiment _{specifies the processing period 64A by using the context information 60 (context information 60 1} to context information 60 _n (n is an integer of 2 or more)). Then, the diagnostic apparatus 10 uses the detection information 64A of the specified processing period 64A in the detection information 62 to determine the occurrence of a defect related to processing by the processing machine 20.

Therefore, the diagnostic device 10 of the present embodiment can improve the accuracy of abnormality diagnosis.

Further, the first acquisition unit 36 starts acquiring the detection information before the second acquisition unit 33 starts acquiring the context information.

When the second acquisition unit 33 acquires the context information and the specific unit 42 specifies the processing period and then starts the acquisition of the detection information, the detection information is acquired with a delay from the acquisition of the context information. On the other hand, in the diagnostic device 10 of the present embodiment, the first acquisition unit 36 starts acquiring the detection information before the second acquisition unit 33 starts the acquisition of the context information.

Therefore, the diagnostic device 10 of the present embodiment can further improve the abnormality diagnosis accuracy.

Further, the second acquisition unit 33 acquires the context information from the diagnostic device 10 by transmitting the context information acquisition request to the diagnostic device 10 (target device), and each time the context information is acquired, the acquired context. The information is stored in the first storage unit 34 (context management DB 34A) in association with the transmission date / time information of the acquisition request corresponding to the context information. Among the plurality of acquired context information, the specific unit 42 sets the period indicated by the transmission date / time information corresponding to one or a plurality of groups of context information indicating that the processing machine 20 is processing the object as the processing period. Identify as.

Further, the first acquisition unit 36 stores the acquired detection information in the second storage unit 37 (detection information management DB 37A) in association with the acquisition date / time information of the detection information. The extraction unit 43 extracts the processing period sound data (processing period detection information) of the period indicated by the acquisition date / time information corresponding to the transmission date / time information indicated by the specified processing period in the detection information.

Further, the first acquisition unit 36 acquires the date and time information when the detection information is acquired from the timer 49 (date and time timer), and uses the acquired date and time information as the acquisition date and time information of the detection information. Further, the second storage unit 37 acquires the date and time information when the acquisition request is transmitted from the timer 49 (date and time timer), and uses the acquired date and time information as the transmission date and time information of the acquisition request.

By managing the date and time information using the same timer 49 in this way, the abnormality diagnosis accuracy can be further improved.

The context information includes control information for each of a plurality of operation items of different types. Among the plurality of acquired context information, the specific unit 42 determines in advance that the value indicated by each of the plurality of operation items included in the context information indicates that the processing machine 20 (target device) is processing the object. The context information satisfying the determination condition is determined as the context information indicating that the processing is in progress, and the period indicated by the transmission date / time information corresponding to the determined context information is specified as the processing period.

The determination unit 44 is defined for each of one or more context information, and is predicted to be detected when the processing machine 20 (target device) is operating normally in the operating state related to the context information. Among the models 45B showing the above, the model 45B corresponding to the context information used to specify the machining period and the machining period sound data (machining period detection information) are used by the machining machine 20 (target device) in the machining period. Judge the occurrence of processing-related defects.

Further, the detection information is sound data indicating sound or sound wave data indicating sound waves.

(Second Embodiment)
In the present embodiment, a mode for adjusting at least one of the number and types of operation items included in the context information acquired from the processing machine 20 will be described.

FIG. 11 is a block diagram showing an example of the functional configuration of the information processing system 1000A of 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 that of the first embodiment. The hardware configuration of the diagnostic device 10A is the configuration shown in FIG. 3, which is the same as that of the diagnostic device 10.

The diagnostic device 10A includes a measurement control unit 30A and a main control unit 40A. The measurement control unit 30A is the same as the measurement control unit 30 of the first embodiment except that the second communication control unit 31A is provided in place of the second communication control unit 31. The main control unit 40A is the same as the main control unit 40 of the first embodiment except that the task control unit 41A is provided in place of the task control unit 41 and the setting unit 46 is further provided.

The setting unit 46 sets at least one of the number and types of operation items included in the context information acquired from the processing machine 20. As described in the first embodiment, the context information includes the value of each of the plurality of operation items of different types. In the present embodiment, the setting unit 46 sets at least one of the number of target operation items to be acquired from the processing machine 20 and the type of target operation items to be acquired.

Specifically, the setting unit 46 sets the context information to be acquired next time from the processing machine 20 by the second acquisition unit 33A based on the value indicated by the operation item included in the context information previously acquired by the second acquisition unit 33A. Set at least one of the number and types of operation items included.

In the present embodiment, the setting unit 46 sets both the type and the number of operation items by setting the type of operation item included in the context information to be acquired next time from the processing machine 20 by the second acquisition unit 33A. Set.

The task control unit 41A outputs a context information acquisition request to the second acquisition unit 33A of the second communication control unit 31A. In the present embodiment, the task control unit 41A outputs a context information acquisition request including setting information indicating the type of operation item set by the setting unit 46 to the second acquisition unit 33A. The second acquisition unit 33A transmits the acquisition request of the context information including the setting information received from the task control unit 41A to the processing machine 20.

When the processing machine 20 receives the context information acquisition request from the diagnostic apparatus 10A, the numerical control unit 21 of the processing machine 20 includes a context including the values of each of the types of operation items indicated by the setting information included in the acquisition request. Information is transmitted to the diagnostic device 10A via the communication control unit 22.

As a result, the second acquisition unit 33A acquires context information including the values of the types of operation items set by the setting unit 46 from the processing machine 20.

For example, when the context information previously acquired (that is, acquired immediately before) by the second acquisition unit 33A includes the operation item "machining determination condition", the setting unit 46 other than the operation item "machining determination condition". A smaller number of operation items than the previous operation item (that is, the operation item included in the context information acquired immediately before) may be set as the operation item of the context information acquired next time.

Further, for example, in the setting unit 46, the value indicated by the operation item included in the context information acquired last time (that is, acquired immediately before) by the second acquisition unit 33A is a value determined to be processing, and the context acquired two times before. It is assumed that the value indicated by the operation item included in the information is a value determined to be unprocessed. In this case, the setting unit 46 sets the operation items including the operation item "machining determination condition", and a larger number of operation items than the previous time as the operation items of the context information to be acquired next time.

Then, the second acquisition unit 33A acquires the context information including the value of the operation item of the type set by the setting unit 46 from the processing machine 20.

Here, in detail, the second acquisition unit 33A generates a context information acquisition request corresponding to each of the types of operation items set by the setting unit 46, and transmits the request to the processing machine 20. Then, the second acquisition unit 33A receives from the processing machine 20 context information including the value of each type of operation item for each of the types of operation items set by the setting unit 46.

That is, the second acquisition unit 33A requests the processing machine 20 to acquire one acquisition request received from the task control unit 41A a number of times according to the number of operation items included in the context information of the acquisition request. To send. Then, the second acquisition unit 33A receives from the task control unit 41A a group of context information including values corresponding to each of the transmitted operation items received from the processing machine 20 in response to the acquisition request. It is used as one context information corresponding to one acquisition request and stored in the detection information management DB 37A. At this time, the second acquisition unit 33A first responds to one acquisition request received from the task control unit 41A by the processing machine 20.
The transmission date / time information for which the acquisition request is transmitted to is stored in the detection information management DB 37A as the transmission date / time information corresponding to the context information.

In this way, the second acquisition unit 33A sends the processing machine 20 the number of times according to the number of operation items included in the context information of the acquisition request for one acquisition request received from the task control unit 41A. By transmitting the acquisition request, the context information corresponding to the acquisition request is acquired from the processing machine 20.

Therefore, as the number of operation items to be received from the processing machine 20 increases, the communication time between the diagnostic device 10A and the processing machine 20 may become longer. Therefore, in the diagnostic device 10A of the present embodiment, the setting unit 46 is the processing machine in the second acquisition unit 33A based on the value indicated by the operation item included in the context information previously acquired by the second acquisition unit 33A. Set at least one of the number and types of operation items included in the context information to be acquired next time from 20.

As described above, in the diagnostic apparatus 10A of the present embodiment, the type and number of operation items included in the context information acquired from the processing machine 20 are set (that is, changed) according to the operating state of the processing machine 20. Therefore, it is possible to shorten the time required from the acquisition of the context information by the second acquisition unit 33A to the determination by the specific unit 42 whether or not the context information is being processed.

Therefore, the diagnostic device 10A of the present embodiment can specify the processing period more accurately than the diagnostic device 10 of the first embodiment. Therefore, the diagnostic device 10A can further improve the abnormality diagnosis accuracy of the processing machine 20 as compared with the diagnostic device 10 of the first embodiment.

Next, the procedure of information processing executed by the diagnostic apparatus 10A of the present embodiment will be described. The sound data acquisition process included in the information processing executed by the diagnostic device 10A is the same as that of the first embodiment (see FIG. 8). FIG. 12 is a flowchart showing an example of abnormality determination processing included in the information processing executed by the diagnostic apparatus 10A of the present embodiment.

First, the task control unit 41A outputs a sound data acquisition start instruction to the second communication control unit 31A (second acquisition unit 33A) of the measurement control unit 30A (step S300). By the process of step S300, the sound data acquisition process described with reference to FIG. 8 is started.

Next, the setting unit 46 sets the type and number of operation items (step S302). In step S302, the setting unit 46 sets the type and number of operation items by setting a predetermined type of operation item as the initial operation item. For example, the setting unit 46 may use a plurality of types of operation items (“operation status of processing machine”, “axis movement state”, “drill rotation speed”, “load”, and “machining determination” included in the context information shown in the context management DB 34A. Condition ") is set.

Next, the task control unit 41A requests the second acquisition unit 33A to acquire the context information including the setting information indicating the type of the operation item set by the setting unit 46, in the second acquisition control unit 30A. Output to the acquisition unit 33A (step S304).

The second acquisition unit 33A, which has received the context information acquisition request, transmits the context information acquisition request including the setting information received from the task control unit 41A to the processing machine 20 (step S306).

Then, the diagnostic device 10A executes the processes of steps S308 to S336. The processes of steps S308 to S336 correspond to the processes of steps S206 to 234 of the first embodiment (see FIG. 9).

That is, the second acquisition unit 33A acquires the date and time information from the timer 49 (step S308). Next, the second acquisition unit 33A acquires context information from the processing machine 20 (step S310). As described above, in step S310, in detail, the second acquisition unit 33A transmits the acquisition request to the processing machine 20 the number of times (that is, the number of operation items) according to the type of operation item included in the setting information. By doing so, the context information including the value of each type of operation item is received. Then, the second acquisition unit 33A uses the group of these received context information as the context information acquired from the processing machine 20 (that is, the context information including the values of all kinds of operation items shown in the setting information). Use.

Next, the second acquisition unit 33A stores the date and time information acquired in step S308 as transmission date and time information in the context management DB 34A of the first storage unit 34 in association with the context information acquired in step S310 (). Step S312).

Next, the specific unit 42 reads the determination condition during processing regarding the context information acquired in step S310 (step S314). When the context information does not include the "machining discrimination condition", the specific unit 42 may use the value indicated by the "machining discrimination condition" included in the previously acquired context information as the discrimination condition.

Next, the specific unit 42 determines whether or not the context information acquired in step S310 indicates that processing is in progress (step S316). If it is determined that the context information indicates that processing is in progress (step S316: Yes), the process proceeds to step S318. The identification unit 42 specifies that the date and time of the date and time information (transmission date and time information) acquired in step S308 is the date and time within the processing period, and the date and time information (transmission date and time information) and the processing / non-processing determination result “ "Processing" and the period "machining period" are associated with each other and registered in the machining period management DB 45A (step S318).

Next, the extraction unit 43 extracts the sound data corresponding to the acquisition date / time information immediately before the date / time information from the detection information management DB 37A (step S320). Next, the extraction unit 43 determines whether or not the determination result in the previous step S316 is “in process” (step S322). If the previous determination result is "processing" (step S322: Yes), the process proceeds to step S324.

In step S324, the extraction unit 43 connects the sound data extracted in step S320 to the previously extracted sound data and registers it in the processing period management DB 45A as one sound data (step S324). Then, the process proceeds to step S332.

On the other hand, if it is determined in step S322 that the determination result of the previous step S316 is "non-processing" (step S322: No), the process proceeds to step S326. In the case of the first determination in step S322 after the processing in step S300, a negative determination is made in step S322 (step S322: No), and the process proceeds to step S326.

In step S326, the extraction unit 43 assigns a new processing period ID, and the processing / non-processing determination result “processing”, the period “processing period”, and the date and time information (transmission date and time information) acquired in step S308. And the sound data extracted in step S320 are stored in association with the processing period management DB 45A (step S326). Then, the process proceeds to step S332.

On the other hand, if it is determined in step S316 that the context information does not indicate processing (that is, non-processing) (step S316: No), the process proceeds to step S328.

In step S328, the extraction unit 43 determines whether or not the determination result of the previous step S316 is “in process” (step S328). If the previous determination result is "processing" (step S328: Yes), the process proceeds to step S330.

In step S330, the extraction unit 43 reads the transmission date / time information corresponding to the context information acquired in step S310 from the context management DB 34A. Then, the extraction unit 43 manages the read transmission date and time as the end date and time of the processing period corresponding to the processing period ID corresponding to the sound data registered in the processing period management DB 45A at the time of determining that the previous processing is in progress. Register with DB45A (step S330). Then, the process proceeds to step S332.

In step S332, the determination unit 44 has a defect related to machining by the machining machine 20 during the machining period based on the machining period sound data registered in the machining period management DB 45A and the context information used for specifying the machining period. Occurrence is determined (step S332).

Then, the determination unit 44 outputs a determination result (information indicating normal operation or abnormal operation) (step S334). Next, the task control unit 41A determines whether or not to end the machining process (step S336). When continuing the processing (step S336: No), the process proceeds to step S340.

In step S340, the setting unit 46 of the operation item included in the context information to be acquired next time from the processing machine 20 by the second acquisition unit 33A based on the value indicated by the operation item included in the context information acquired in step S310. The number and type are set (step S340).

As described above, for example, when the setting unit 46 includes the operation item “machining determination condition” in the context information acquired in step S310 (that is, the context information previously acquired by the second acquisition unit 33A described above). Is a type of operation item other than the operation item "machining determination condition", and a smaller number of operation items than the previous time are set as operation items of the context information to be acquired next time. In this case, next time, the second acquisition unit 33A will acquire context information including the value indicated by the operation item from the processing machine 20 for less operation items than the previous time.

Further, for example, in the setting unit 46, the value indicated by the operation item included in the context information acquired immediately before (that is, acquired last time) in step S310 is a value determined to be processing, and is included in the context information acquired two times before. It is assumed that the value indicated by the operation item is a value determined to be unprocessed. In this case, the setting unit 46 sets the operation items including the operation item "machining determination condition", and a larger number of operation items than the previous time as the operation items of the context information to be acquired next time.

That is, according to these settings, for example, the setting unit 46 obtains context information including the value indicated by the operation item "machining determination condition" from the machining machine 20 for the date and time corresponding to the first timing of the machining period. , Set the type of operation item. Further, the setting unit 46 acquires context information that does not include the value of the operation item "machining determination condition" for the period after the first timing of the machining period and until the date and time corresponding to the end timing of the machining period. Set the type of operation item so that

Then, the process returns to step S304. On the other hand, if an affirmative judgment is made in step S336 (step S336: Yes), the process proceeds to step S338.

In step S338, the task control unit 41A determines whether or not to end the operation of the information processing system 1000A (step S338). If the system operation is to be continued (step S338: No), the process proceeds to step S340. On the other hand, when the system operation is terminated (step S338: Yes), the process proceeds to step S342. In step S342, the system operation end instruction is output to the first communication control unit 35 of the measurement control unit 30A (step S342). Then, this routine is terminated.

As described above, in the diagnostic device 10A of the present embodiment, the setting unit 46 sets at least one of the number and types of operation items included in the context information acquired from the processing machine 20 (target device). The second acquisition unit 33A transmits a request for acquisition of context information including the value of each of the set number and type of at least one operation item to the processing machine 20.

As described above, in the diagnostic apparatus 10A of the present embodiment, the setting unit 46 can adjust the number and types of operation items included in the context information acquired from the processing machine 20 according to the situation. Therefore, it is possible to appropriately adjust the operation items necessary for making a determination during processing from the context information.

Therefore, in the diagnostic device 10A of the present embodiment, in addition to the effect of the first embodiment, the abnormality diagnosis accuracy can be further improved.

Further, the setting unit 46 is the number of operation items included in the context information to be acquired next time by the second acquisition unit 33A based on the value indicated by the operation item included in the context information acquired last time by the second acquisition unit 33A. And set at least one of the types.

Therefore, in the diagnostic device 10A of the present embodiment, it is possible to set the type and number of operation items included in the context information acquired from the processing machine 20 according to the operating state of the processing machine 20. Therefore, it is possible to shorten the time required from the acquisition of the context information by the second acquisition unit 33A to the determination of whether or not the specific unit 42 indicates whether or not the context information is being processed.

By shortening the time required for this determination, the identification unit 42 can specify a finer date and time for the start timing and end timing of the machining period. That is, the specific unit 42 can specify a processing period with higher accuracy.

Therefore, in the diagnostic device 10A of the present embodiment, in addition to the effect of the first embodiment, the abnormality diagnosis accuracy can be further improved.

The diagnostic device 10 and the program executed by the diagnostic device 10A of the above-described embodiment are provided in advance in a ROM or the like.

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

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

The program executed by the diagnostic device 10 and the diagnostic device 10A of the above embodiment has a module configuration including the above-mentioned parts (communication control unit, determination unit, etc.), and the actual hardware is a CPU (processor). Reads the program from the ROM and executes it, so that each part is loaded on the main storage device and each part is 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 new embodiment can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. The above-described embodiments and modifications are included in the scope and gist of the invention, and are included in the scope of the invention described in the claims and the equivalent scope thereof.

10, 10A Diagnostic device 20 Processing machine 33 Second acquisition unit 34 First storage unit 36 First acquisition unit 37 Second storage unit 42 Specific unit 43 Extraction unit 44 Judgment unit 46 Setting unit 1000, 1000A Information processing system

Japanese Unexamined Patent Publication No. 2006-184722 Japanese Patent No. 4863802

Claims (13)

A first acquisition unit that acquires detection information of a physical quantity that changes according to the operating status of the target device that processes the object, and
A second acquisition unit that transmits an acquisition request to the target device at a predetermined time and acquires context information regarding the operating state of the target device as a response to the acquisition request.
Based on the context information and the predetermined time when the acquisition request is transmitted, a specific unit that specifies a processing period in which the non-processing period during which the object is not processed by the target device is removed, and a specific unit.
An extraction unit that extracts processing period detection information for the specified processing period in the detection information,
Based on the processing period detection information and the context information used to specify the processing period, a determination unit for determining the occurrence of a defect related to processing by the target device during the processing period, and a determination unit.
Information processing device equipped with. The information processing device according to claim 1, wherein the first acquisition unit starts acquisition of the detection information before the second acquisition unit starts acquisition of context information. Each time the second acquisition unit acquires the context information, the acquired context information is stored in the first storage unit in association with the predetermined time of the acquisition request corresponding to the context information. ,
Among the plurality of acquired context information, the specific unit is a period indicated by the predetermined time corresponding to one or a plurality of groups of the context information indicating that the target device is processing the object. To specify the processing period from
The information processing device according to claim 1 or 2. The first acquisition unit stores the acquired detection information in the second storage unit in association with the acquisition date / time information of the detection information.
The extraction unit extracts the processing period detection information of the period indicated by the acquisition date and time information corresponding to the predetermined time indicated by the specified processing period in the detection information.
The information processing device according to claim 3. The first acquisition unit acquires the date and time information when the detection information is acquired from the date and time timer, and uses the acquired date and time information as the acquisition date and time information of the detection information.
The second acquisition unit acquires the date and time information when the acquisition request is transmitted from the date and time timer, and uses the acquired date and time information as the predetermined time of the acquisition request.
The information processing device according to claim 4. The context information includes control information for each of a plurality of operation items of different types.
Among the plurality of acquired context information, the specific unit determines in advance that the value indicated by each of the plurality of operation items included in the context information indicates that the target device is processing the target object. The context information satisfying the determination condition is determined as the context information indicating that processing is in progress, and the processing period is specified from the period indicated by the predetermined time corresponding to the determined context information.
The information processing device according to any one of claims 3 to 5. A setting unit for setting at least one of the number and types of the operation items included in the context information acquired from the target device is provided.
The second acquisition unit transmits a request for acquisition of the context information including the respective values of at least one of the set number and type of the operation items to the target device.
The information processing device according to claim 6. The setting unit
The number and types of the operation items included in the context information to be acquired next time by the second acquisition unit based on the values indicated by the operation items included in the context information previously acquired by the second acquisition unit. Set at least one,
The information processing device according to claim 7. The determination unit
Among the models showing predictive detection information that is defined for each of the one or more context information and is predicted to be detected when the target device is operating normally in the operating state related to the context information. Using the model corresponding to the context information used to specify the machining period and the machining period detection information, it is determined that a defect related to machining by the target device during the machining period occurs.
The information processing device according to any one of claims 1 to 8. The information processing device according to any one of claims 1 to 9, wherein the detection information is sound data indicating sound or sound wave data indicating sound waves. Steps to acquire detection information of physical quantities that change according to the operating status of the target device that processes the target, and
A step of transmitting an acquisition request to the target device at a predetermined time and acquiring context information regarding the operating state of the target device as a response to the acquisition request.
Based on the context information and the predetermined time when the acquisition request is transmitted, a step of specifying a processing period in which the non-processing period during which the object is not processed by the target device is removed, and a step of specifying the processing period.
A step of extracting processing period detection information of the specified processing period in the detection information, and
Based on the machining period detection information and the context information used to specify the machining period, a step of determining the occurrence of a defect related to machining by the target device during the machining period, and a step of determining the occurrence of a defect related to machining by the target device during the machining period.
Information processing methods, including. Steps to acquire detection information of physical quantities that change according to the operating status of the target device that processes the target, and
A step of transmitting an acquisition request to the target device at a predetermined time and acquiring context information regarding the operating state of the target device as a response to the acquisition request.
Based on the context information and the predetermined time when the acquisition request is transmitted, a step of specifying a processing period in which the non-processing period during which the object is not processed by the target device is removed, and a step of specifying the processing period.
A step of extracting processing period detection information of the specified processing period in the detection information, and
Based on the machining period detection information and the context information used to specify the machining period, a step of determining the occurrence of a defect related to machining by the target device in the machining period, and
An information processing program that allows a computer to execute. An information processing system including an information processing device and a target device to be diagnosed by the information processing device.
The information processing device
A first acquisition unit that acquires detection information of a physical quantity that changes according to the operating status of the target device that processes the object, and
A second acquisition unit that transmits an acquisition request to the target device at a predetermined time and acquires context information regarding the operating state of the target device as a response to the acquisition request.
Based on the context information and the predetermined time when the acquisition request is transmitted, a specific unit that specifies a processing period in which the non-processing period during which the object is not processed by the target device is removed, and a specific unit.
An extraction unit that extracts processing period detection information for the specified processing period in the detection information,
Based on the processing period detection information and the context information used to specify the processing period, a determination unit for determining the occurrence of a defect related to processing by the target device during the processing period, and a determination unit.
With
The target device is
A detector that detects the physical quantity and
A transmission unit that transmits the detection information of the physical quantity and the context information to the diagnostic apparatus is provided.
Information processing system.

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