JP2015085263A - Determination program, determination device and determination method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To determine a hammer corresponding to data output from sensors.SOLUTION: A determination device 110 determines a time point when a vibration sensor detects a vibration which is generated when a hammer 106 hammers a hammered seat 107 based on information output from the vibration sensor during operation of an electric precipitator 100. In addition, the determination device 110 determines a time point when a sound sensor detects a sound which is generated when the hammer 106 hammers the hammered seat 107 based on information output from the sound sensor during operation of the electric precipitator 100. Then, the determination device 110 calculates a time difference between the time point when the vibration sensor detects the vibration and the time point when the sound sensor detects the sound. Then, the determination device 110 determines the hammer 106 corresponding to the calculated time difference based on a table in which the time difference and the hammer 106 correspond to each other.

Description

  The present invention relates to a specific program, a specific device, and a specific method.

  Conventionally, in order to clean exhaust gas from chemicals, oil, power plants, garbage incinerators, etc., dust in the exhaust gas is charged by the discharge electrode and attached to the dust collecting plate, and the dust collecting plate is beaten by a hammer. There is an electric dust collector that drops and collects dust adhering to the dust collector. In addition, with the continuous operation of the electric dust collector, dust in the exhaust gas adheres to the operating mechanism that operates the hammer that strikes the dust collecting plate, and the force to strike the dust collecting plate is reduced. For this reason, maintenance of an electric dust collector is performed and the dust adhering to an operation mechanism is removed.

  As a related technique, for example, there is a diagnostic device for diagnosing whether a hammered hammer is defective. The diagnostic device includes, for example, a vibration sensor in a bearing portion of a hammering shaft to which a hammer is attached and located outside the main body of the electric dust collector. The diagnostic device detects, for each hammer, the magnitude of vibration of the hammering shaft when an impact is applied to each electrode plate by hammering each hammer via a vibration sensor. Then, the diagnosis device compares the vibration value of the hammering shaft with a predetermined threshold value, and determines that the hammer that has been hammered when the vibration value does not exceed the predetermined threshold value is defective.

JP 2000-111456 A

  However, in the above-described prior art, when there are a plurality of hammers that strike the dust collecting plate of the electric dust collector, it is determined which hammer among the plurality of hammers is the hammer that has generated the vibration detected by the sensor. Difficult to do.

  In one aspect, an object of the present invention is to provide a specifying program, a specifying device, and a specifying method that can specify a hammer corresponding to data output from a sensor.

  According to one aspect of the present invention, each of the plurality of hammers of the electric dust collector obtains first data output from a sound sensor capable of detecting sound generated by hitting a corresponding dust collecting plate, Each of the plurality of hammers acquires second data output from a vibration sensor capable of detecting vibration generated by hitting the corresponding dust collecting plate, and the first data and the second data Is obtained with reference to a storage unit that acquires a time difference between the acquisition timings of the first data and the second data and stores the correspondence between the length of the time difference and the hammer. Identifying a hammer corresponding to the length of the time difference and outputting the identified hammer as the hammer that has obtained the first data or the second data; Specific method is proposed.

  According to one aspect of the present invention, there is an effect that a hammer corresponding to data output from a sensor can be specified.

FIG. 1 is an explanatory diagram illustrating an example in which a hammer 106 that strikes a tapping seat 107 of a dust collecting plate 102 included in the electrostatic precipitator 100 is specified by a specifying program according to the embodiment. FIG. 2 is an explanatory diagram illustrating an example of specific contents. FIG. 3 is an explanatory diagram showing a configuration example of a dust collection system 300 using the specific device 110. FIG. 4 is a block diagram illustrating a hardware configuration example of the identification device 110. FIG. 5 is an explanatory diagram showing an example of the contents stored in the time table 500. FIG. 6 is a block diagram illustrating a functional configuration example of the specifying device 110. FIG. 7 is an explanatory diagram illustrating an example of determining whether or not a predetermined correlation is exhibited. FIG. 8 is an explanatory diagram showing an example of specifying the hammer 106. FIG. 9 is a flowchart illustrating an example of the setting processing procedure. FIG. 10 is a flowchart illustrating an example of the specific processing procedure.

  Embodiments of a specific program, a specific device, and a specific method according to the present invention will be described below in detail with reference to the accompanying drawings.

(Example of identifying the hammer 106)
FIG. 1 is an explanatory diagram illustrating an example in which a hammer 106 that strikes a tapping seat 107 of a dust collecting plate 102 included in the electrostatic precipitator 100 is specified by a specifying program according to the embodiment.

  In FIG. 1, a specific device 110 is a computer that executes a specific program. The identification device 110 identifies a hammer 106 that strikes the tapping seat 107 of the dust collector 102 from the plurality of hammers 106 of the electrostatic precipitator 100 by executing a identification program.

  Here, the electrostatic precipitator 100 is a machine that sucks exhaust gas, collects dust in the exhaust gas, cleans and discharges the exhaust gas. The electric dust collector 100 includes a discharge wire 101, a dust collecting plate 102, a motor 103, a shaft 104, an operating mechanism 105, a hammer 106, and a hitting seat 107.

  The discharge wire 101 is a conducting wire to which a negative high voltage is applied as a discharge electrode. The discharge wire 101 positively charges dust in the exhaust gas by performing corona discharge. The dust collecting plate 102 is a conductor that becomes a dust collecting electrode and is grounded. The dust collecting plate 102 collects dust in the exhaust gas positively charged on the surface of the dust collecting plate 102 by an electric field generated between the dust collecting plate 102 and the discharge line 101.

  The motor 103 is a machine that generates kinetic energy of rotational movement. The motor 103 is connected to the shaft 104 and transmits kinetic energy to the shaft 104 to rotate the shaft 104. The shaft 104 has an operating mechanism 105 and rotates the operating mechanism 105 according to the rotation of the shaft 104.

  The operating mechanism 105 includes a hammer 106, which swings up the hammer 106 according to the rotation of the operating mechanism 105, and swings down the hammer 106 according to a drop movement due to gravity. The hammer 106 strikes the hitting seat 107 connected to the dust collecting plate 102 and gives an impact to the hitting seat 107. The hitting seat 107 is connected to the dust collecting plate 102 and transmits an impact to the dust collecting plate 102.

  In the example of FIG. 1, the specifying device 110 includes a vibration sensor and a sound sensor. Here, the vibration sensor is a sensor that can detect, for example, vibration generated when the hammer 106 strikes the hitting seat 107. The sound sensor is, for example, a sensor that can detect a sound generated when the hammer 106 strikes the hitting seat 107.

  Next, the specific device 110 detects when the vibration sensor detects vibration generated when the hammer 106 strikes the tapping seat 107 based on information output from the vibration sensor when the electric dust collector 100 is in operation. Is identified. In addition, the specific device 110 detects the time when the sound sensor detects the sound generated when the hammer 106 strikes the tapping seat 107 based on the information output by the sound sensor when the electric dust collector 100 is in operation. Identify.

  Next, the identifying device 110 calculates a time difference between the time point detected by the vibration sensor and the time point detected by the sound sensor. Then, the specifying device 110 specifies the hammer 106 corresponding to the calculated time difference based on the table in which the time difference is associated with the hammer 106. In the following description, the time when the electrostatic precipitator 100 is in operation may be referred to as “in operation”.

(Example of specific contents)
Next, an example of specific contents for specifying the hammer 106 that strikes the tapping seat 107 of the dust collecting plate 102 of the electric dust collector 100 will be described with reference to FIG.

  FIG. 2 is an explanatory diagram illustrating an example of specific contents. Here, FIG. 2A is a timing chart showing a time-series change in sound volume. In FIG. 2A, the vertical axis indicates the volume of sound, and the horizontal axis indicates time. FIG. 2B is a timing chart showing time-series changes in the magnitude of vibration. In FIG. 2B, the vertical axis indicates the magnitude of vibration, and the horizontal axis indicates time.

  First, the identifying device 110 acquires information 201 output from the sound sensor during operation as shown in the timing chart of FIG. Next, when the specific device 110 detects data corresponding to the sound generated when one of the hammers 106 strikes the tapping seat 107 of the dust collecting plate 102 based on the information output from the sound sensor. Is identified. In FIG. 2A, (1) to (13) are numbers for identifying the hammer 106 that has generated data representing each sound included in the information output from the sound sensor.

  Further, the identification device 110 acquires information 202 output from the vibration sensor during operation, as shown in the timing chart of FIG. Next, when the specific device 110 detects data corresponding to the vibration generated when any hammer 106 strikes the tapping seat 107 of the dust collecting plate 102 based on the information output from the vibration sensor. Is identified. In FIG. 2B, (1) to (13) are numbers for identifying the hammer 106 that has generated data representing each vibration included in the information output from the vibration sensor.

  And the specific apparatus 110 determines whether the information output from the vibration sensor and the information output from the sound sensor show a correlation, and when showing a correlation, combines the data showing a correlation. Next, the specifying device 110 calculates a time difference between the time point when the data corresponding to the vibration is detected and the time point when the data corresponding to the sound is detected. Then, the specifying device 110 specifies the number of the hammer 106 corresponding to the calculated time difference based on the table in which the time difference and the number of the hammer 106 are associated with each other.

  Thereby, the specifying device 110 can specify the hammer 106 that has caused the generation of vibration and sound corresponding to the combined data. For this reason, the specifying device 110 can determine which hammer 106 is the cause of generation of vibration and sound, and determine whether the specified hammer 106 is defective.

(Configuration example of dust collection system 300)
FIG. 3 is an explanatory diagram showing a configuration example of a dust collection system 300 using the specific device 110.

  Here, FIG. 3A shows a configuration example of the dust collection system 300, and shows an example of a sound transmission path 311 from the hitting point where the hammer 106 hits the hitting seat 107 to the sound sensor 301. FIG. 3B shows an example of a vibration transmission path 312 from the hitting point where the hammer 106 hits the hitting seat 107 to the vibration sensor 302.

  In FIG. 3A, a network 310 is a communication network in which the identification device 110, the sound sensor 301, and the vibration sensor 302 can communicate. The network 310 includes, for example, a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, a mobile phone network, and the like.

  The specific device 110 is a notebook personal computer, a desktop personal computer, a mobile phone, a smartphone, a PHS (Personal Handyphone System), a tablet terminal, or the like. The identification device 110 is realized by a computer described later with reference to FIG.

  The sound sensor 301 detects the sound generated by the hammer 106 hitting the tapping seat 107 and transmitted through the air. For example, the sound sensor 301 detects the sound transmitted through the transmission path 311 illustrated in FIG. The sound sensor 301 may be coupled to the shaft 104, the dust collecting plate 102, or the like.

  The vibration sensor 302 is connected to the motor 103 of the electrostatic precipitator 100, the hammer 106 strikes the strike seat 107, and is transmitted via the hammer 106, the operating mechanism 105, the shaft 104, and the motor 103. Detect vibration. For example, the vibration sensor 302 detects vibration transmitted through the transmission path 312 illustrated in FIG. The vibration sensor 302 may be connected to the shaft 104, the dust collecting plate 102, or the like.

(Example of hardware configuration of specific device 110)
FIG. 4 is a block diagram illustrating a hardware configuration example of the identification device 110. In FIG. 4, a specific device 110 includes a CPU (Central Processing Unit) 401, a ROM (Read Only Memory) 402, a RAM (Random Access Memory) 403, a magnetic disk drive (Hard Disk Drive) 404, and a magnetic disk 405. And an optical disc drive 406 and an optical disc 407. The identification device 110 includes a display 408, an interface (I / F) 409, a keyboard 410, a mouse 411, a scanner 412, and a printer 413. Each component is connected by a bus 400.

  Here, the CPU 401 governs overall control of the specific device 110. The ROM 402 stores programs such as a boot program and a specific program. The RAM 403 is used as a work area for the CPU 401. The magnetic disk drive 404 controls the reading / writing of the data with respect to the magnetic disk 405 according to control of CPU401. The magnetic disk 405 stores data written under the control of the magnetic disk drive 404.

  The optical disk drive 406 controls reading / writing of data with respect to the optical disk 407 according to the control of the CPU 401. The optical disk 407 stores data written under the control of the optical disk drive 406, or causes the computer to read data stored on the optical disk 407.

  The display 408 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. As the display 408, for example, a liquid crystal display, a plasma display, or the like can be adopted.

  The I / F 409 is connected to a network 310 such as a LAN, a WAN, or the Internet through a communication line, and is connected to other devices via the network 310. The I / F 409 controls an internal interface with the network 310 and controls input / output of data from an external device. For example, a modem or a LAN adapter may be employed as the I / F 409.

  The keyboard 410 includes keys for inputting characters, numbers, various instructions, and the like, and inputs data. Moreover, a touch panel type input pad or a numeric keypad may be used. The mouse 411 moves the cursor, selects a range, moves the window, changes the size, and the like. A trackball or a joystick may be used as long as they have the same function as a pointing device.

  The scanner 412 optically reads an image and takes in the image data into the specific device 110. The scanner 412 may have an OCR (Optical Character Reader) function. The printer 413 prints image data and document data. As the printer 413, for example, a laser printer or an ink jet printer can be adopted. Further, at least one of the optical disk drive 406, the optical disk 407, the display 408, the keyboard 410, the mouse 411, the scanner 412, and the printer 413 may be omitted.

(Storage contents of time table 500)
Next, an example of the contents stored in the time table 500 will be described with reference to FIG. The time table 500 is realized by storage areas such as the RAM 403, the magnetic disk 405, and the optical disk 407 shown in FIG.

  FIG. 5 is an explanatory diagram showing an example of the contents stored in the time table 500. As shown in FIG. 5, the time table 500 has a time difference item associated with the hammer number item, and stores information by setting information for each item for each hammer 106.

  In the hammer number item, a number for identifying the hammer 106 is stored. In the time difference item, the time and sound for detecting the vibration are detected based on the difference in the transmission path between the vibration and the sound generated by the hammer 106 hitting the hitting seat 107 by the hammer number item number. The time difference from the time to be stored is stored. For example, the record 501 indicates time information including a number “13” and a time difference “0.00010 seconds”.

(Functional configuration example of specific device 110)
Next, a functional configuration example of the identification device 110 will be described with reference to FIG.

  FIG. 6 is a block diagram illustrating a functional configuration example of the specifying device 110. The identification device 110 includes a first acquisition unit 601, a calculation unit 602, a determination unit 603, a second acquisition unit 604, a specification unit 605, and an output unit 606 as the control unit 600.

  The first acquisition unit 601 acquires first data output from the sound sensor 301 that can detect sound generated when each of the plurality of hammers 106 of the electric dust collector 100 strikes the corresponding dust collector plate 102. To do. The first acquisition unit 601 represents, for example, a first sound representing a sound generated when one of the hammers 106 strikes the tapping seat 107 of the dust collecting plate 102 from the information 201 output from the sound sensor 301. Get the data.

  As a result, the first acquisition unit 601 is transmitted the first path that is the path of sound from the striking point where the hammer 106 strikes the tapping seat 107 to the sound sensor 301, and the hammer 106 moves the tapping seat 107. Data representing the sound generated by the beating can be acquired. Here, the first route is, for example, the transmission route 311 shown in FIG.

  The first acquisition unit 601 acquires second data output from the vibration sensor 302 that can detect vibration generated when each of the plurality of hammers 106 hits the corresponding dust collecting plate 102. The first acquisition unit 601 represents, for example, a second vibration that is generated when one of the hammers 106 strikes the tapping seat 107 of the dust collecting plate 102 from the information 202 output from the vibration sensor 302. Get the data.

  As a result, the first acquisition unit 601 represents the vibration generated when the hammer 106 strikes the tapping seat 107, which is transmitted through the second path that is the path of vibration from the strike point to the vibration sensor 302. Data can be acquired. Here, the second route is, for example, the transmission route 312 shown in FIG.

  The acquired data is stored in a storage area such as the RAM 403, the magnetic disk 405, and the optical disk 407, for example. For example, the first acquisition unit 601 causes the CPU 401 to execute a program stored in a storage device such as the ROM 402, the RAM 403, the magnetic disk 405, and the optical disk 407 illustrated in FIG. Realize the function.

  The calculation unit 602 calculates a time difference between the acquisition timing of the first data and the acquisition timing of the second data. Here, the acquisition timing may be the date and time when the first data or the second data is acquired, and from the predetermined reference time point to the time when the first data or the second data is acquired. It may be time. The reference time point may be, for example, a time point when the rotation angle of the shaft 104 becomes a predetermined angle, or a start time point of operation.

  For example, the calculation unit 602 sets the first data acquisition timing “0.00005 seconds” and the second data acquisition timing “0.00015 seconds” with the time point when the rotation angle of the shaft 104 becomes 0 degrees as a reference time point. "0.00010 seconds" is calculated. Thereby, the calculation unit 602 calculates the first data acquisition timing and the second data acquisition timing based on the difference between the transmission speeds of sound and vibration and the difference between the first path and the second path. A time difference can be calculated.

  The calculation unit 602 may calculate the first value obtained by normalizing the loudness indicated by the first data and the second value obtained by normalizing the loudness indicated by the second data. Good. For example, the calculation unit 602 stores in advance, as a reference, the magnitude of sound and vibration generated when any hammer 106 strikes the hitting seat 107. Then, the calculation unit 602 calculates, as the first value, a value obtained by dividing the loudness indicated by the first data by the loudness stored as a reference. Further, the calculation unit 602 calculates a value obtained by dividing the magnitude of vibration indicated by the second data by the magnitude of vibration stored as a reference as the second value. As a result, the calculation unit 602 can set the sound volume and the vibration volume to a dimensionless amount, and can set the sound volume and the vibration volume to a comparable value.

  The calculation result is stored in a storage area such as the RAM 403, the magnetic disk 405, and the optical disk 407, for example. The calculation unit 602 realizes its function by causing the CPU 401 to execute a program stored in a storage device such as the ROM 402, the RAM 403, the magnetic disk 405, and the optical disk 407 shown in FIG.

  The determination unit 603 determines whether or not the first data and the second data show a predetermined correlation. The predetermined correlation is that the sound and vibration generated when a hammer 106 strikes the tapping seat 107 are caused by the same physical phenomenon, so that the first data and the second data are It is a common property that appears. An example in which the determination unit 603 determines whether or not the first data and the second data show a predetermined correlation will be described later with reference to FIG.

  The determination unit 603 determines, for example, whether or not the calculated time difference length is less than a predetermined length, and when the time difference length is less than a predetermined length, It is determined that the second data shows a predetermined correlation. In other words, the determination unit 603 has the property that the sound and vibration generated due to the same physical phenomenon are “same at the same time” and the first data and the second data It is determined whether or not the data indicates.

  For example, the determination unit 603 determines whether or not the difference between the calculated first value and the second value is less than a predetermined value, and if the difference is less than the predetermined value, It is determined that the second data shows a predetermined correlation. In other words, the determination unit 603 has the property that the sound and vibration generated due to the same physical phenomenon are “generated by consuming the same energy” in common as the first data And the second data are determined.

  For example, the determination unit 603 determines whether the calculated length of the time difference is less than a predetermined length. Next, the determination unit 603 determines whether or not the calculated difference between the first value and the second value is less than a predetermined value. Then, the determination unit 603 determines that the first data and the second data have a predetermined correlation in response to the time difference length being less than the predetermined length and the difference being less than the predetermined value. It is determined to be shown. Thereby, the determination unit 603 can determine whether the first data and the second data are data generated based on the same physical phenomenon.

  The determination unit 603 determines whether or not the loudness indicated by the first data is less than a predetermined magnitude, or whether or not the magnitude of vibration indicated by the second data is less than a predetermined magnitude. judge. Thereby, the determination unit 603 can determine whether or not the operating mechanism 105 of the hammer 106 is in a defective state. The defective state is a state where dust of a predetermined amount or more adheres to the operating mechanism 105, the operation of the operating mechanism 105 is hindered, and the timing at which the hammer 106 strikes the hitting seat 107 is delayed. An example in which the determination unit 603 determines whether or not the operation mechanism 105 of the hammer 106 is in a defective state will be described later with reference to FIG.

  The determination result is stored in a storage area such as the RAM 403, the magnetic disk 405, and the optical disk 407, for example. The determination unit 603 realizes its function by causing the CPU 401 to execute a program stored in a storage device such as the ROM 402, the RAM 403, the magnetic disk 405, and the optical disk 407 shown in FIG.

  The second acquisition unit 604 acquires a time difference between the acquisition timings of the first data and the second data when the first data and the second data show a predetermined correlation. For example, when the second acquisition unit 604 determines that the time difference is less than a predetermined length, the second acquisition unit 604 acquires the time difference. Specifically, the second acquisition unit 604, when the determination unit 603 determines that the time difference is less than a predetermined length, the first data and the second data calculated by the calculation unit 602 The time difference “0.00010 seconds” of the acquisition timing is acquired.

  The second acquisition unit 604 may acquire a time difference when the determination unit 603 determines that the difference is less than a predetermined value. The second acquisition unit 604 acquires the time difference when the determination unit 603 determines that the length of the time difference is less than the predetermined length and determines that the difference is less than the predetermined value. May be. Thereby, the 2nd acquisition part 604 can acquire the 1st data and the 2nd data which occurred based on the same physical phenomenon.

  The acquired data is stored in a storage area such as the RAM 403, the magnetic disk 405, and the optical disk 407, for example. The second acquisition unit 604 realizes its function by causing the CPU 401 to execute a program stored in a storage device such as the ROM 402, the RAM 403, the magnetic disk 405, and the optical disk 407 shown in FIG.

  The specifying unit 605 specifies the hammer 106 corresponding to the acquired time difference length with reference to the storage unit that stores the correspondence between the time difference length and the hammer 106. Here, the storage unit is, for example, the time table 500 illustrated in FIG. The identification unit 605 identifies the record 501 of the time table 500 in which the same time difference as the time difference “0.00010 seconds” acquired by the second acquisition unit 604 is set, and the hammer number set in the specified record Specify “13”.

  Further, the specifying unit 605 may specify the record of the time table 500 in which the time difference closest to the time difference acquired by the second acquisition unit 604 is set, and specify the hammer number set in the specified record. Good. Thereby, the specifying unit 605 can specify the hammer 106 corresponding to the first data and the second data.

  The identification result is stored in a storage area such as the RAM 403, the magnetic disk 405, and the optical disk 407, for example. The specifying unit 605 realizes its function by causing the CPU 401 to execute a program stored in a storage device such as the ROM 402, the RAM 403, the magnetic disk 405, and the optical disk 407 shown in FIG.

  The output unit 606 outputs that the identified hammer 106 is the hammer 106 that has obtained the first data or the second data. For example, the output unit 606 outputs the identified hammer 106 number in association with the first data and the second data.

  When the output unit 606 determines that the sound volume is less than the predetermined volume, the output unit 606 outputs that the identified hammer 106 is the hammer 106 that has obtained the first data or the second data. In addition, the determination result may be output. For example, when the determination unit 603 determines that the sound volume is less than a predetermined volume, the output unit 606 associates the identified hammer 106 number with the first data and the second data. Output. Then, the output unit 606 outputs a determination result as information indicating that the identified actuation mechanism 105 of the hammer 106 is in a defective state.

  When the output unit 606 determines that the magnitude of vibration is less than the predetermined magnitude, the output unit 606 outputs that the identified hammer 106 is the hammer 106 that has obtained the first data or the second data. , Output the judgment result. For example, when the determination unit 603 determines that the magnitude of vibration is less than a predetermined size, the output unit 606 associates the number of the identified hammer 106 with the first data and the second data. Output. Then, the output unit 606 outputs a determination result as information indicating that the identified actuation mechanism 105 of the hammer 106 is in a defective state.

  Thereby, the user of the specifying device 110 can specify the hammer 106 corresponding to the first data and the second data detected at any time. The output format includes, for example, display on the display 408, print output to the printer 413, and transmission to an external device via the I / F 409. Alternatively, the data may be stored in a storage area such as the RAM 403, the magnetic disk 405, and the optical disk 407.

(An example of determining whether or not a predetermined correlation is exhibited)
Next, an example in which the specifying device 110 determines whether or not the first data and the second data show a predetermined correlation will be described with reference to FIG.

  FIG. 7 is an explanatory diagram illustrating an example of determining whether or not a predetermined correlation is exhibited. In FIG. 7, the data 701 in the information 710 output from the vibration sensor 302 and the data 702 in the information 720 output from the sound sensor 301 indicate that the 13th hammer 106 strikes the hitting seat 107. It is assumed that the physical phenomenon generated by the above is detected.

  In addition, data 703 in the information 710 output from the vibration sensor 302 and data 704 in the information 720 output from the sound sensor 301 are generated when the eighth hammer 106 strikes the tapping seat 107. Suppose that the detected physical phenomenon is detected.

  Here, since the operating mechanism 105 of the eighth hammer 106 is in a defective state, the timing at which the eighth hammer 106 strikes the tapping seat 107 is delayed, and the thirteenth hammer 106 strikes the tapping seat 107. Suppose that the timing for hitting is approaching.

  First, the identification device 110 selects data 701 as second data from the information 710 output from the vibration sensor 302. Next, the identifying apparatus 110 selects data 704 detected as the first data from the information 720 output from the sound sensor 301 at the time closest to the time when the data 701 was detected.

  Then, the identifying device 110 determines whether or not the length of the time difference between the selected data 701 and data 704 is less than a predetermined length. Here, the identifying apparatus 110 determines that the length of the time difference between the selected data 701 and data 704 is less than a predetermined length.

  Further, the specifying device 110 calculates a second value obtained by normalizing the magnitude of vibration indicated by the selected data 701. Next, the specifying device 110 calculates a first value obtained by normalizing the loudness indicated by the selected data 704. Then, the specifying device 110 determines whether or not the difference between the calculated first value and the second value is less than a predetermined value. Here, the identifying apparatus 110 determines that the difference is not less than a predetermined value.

  Next, the identifying apparatus 110 determines that the data 701 and the data 704 are not corresponding data because the length of the time difference is less than the predetermined length but the difference is not less than the predetermined value. As a result, the specifying device 110 can determine that the data 701 and the data 704 are those in which a physical phenomenon that occurs when the separate hammer 106 strikes the tapping seat 107 is detected.

  Next, the identification device 110 uses, as the first data, the data 702 detected at the time closest to the data 704 when the data 701 is detected from the information 720 output from the sound sensor 301. select.

  Then, the specifying device 110 determines whether or not the length of the time difference between the selected data 701 and data 702 is less than a predetermined length. Here, the identifying apparatus 110 determines that the length of the time difference between the selected data 701 and data 702 is less than a predetermined length.

  Further, the specifying device 110 calculates a second value obtained by normalizing the magnitude of vibration indicated by the selected data 701. Next, the specifying device 110 calculates a first value obtained by normalizing the loudness indicated by the selected data 702. Then, the specifying device 110 determines whether or not the difference between the calculated first value and the second value is less than a predetermined value. Here, the identifying apparatus 110 determines that the difference is less than a predetermined value.

  Next, since the length of the time difference is less than the predetermined length and the difference is less than the predetermined value, the identifying apparatus 110 determines that the data 701 and the data 702 are corresponding data. As a result, the specific device 110 can determine that both the data 701 and the data 702 have detected a physical phenomenon that occurs when one hammer 106 strikes the tapping seat 107.

(Example of identifying the hammer 106)
Next, an example in which the identification device 110 identifies the hammer 106 will be described with reference to FIG.

  FIG. 8 is an explanatory diagram showing an example of specifying the hammer 106. The identification device 110 calculates a time difference 801 between the corresponding data 701 and data 702. Based on the time table 500, the specifying device 110 specifies that the data 701 and the data 702 are data corresponding to the 13th hammer 106.

  Then, the identification device 110 determines whether or not the magnitude of vibration indicated by the data 701 is less than a predetermined magnitude. In the example of FIG. 8, the identification device 110 uses the size indicated by the reference numeral 803 as the predetermined size for the data 701 representing the vibration corresponding to the 13th hammer.

  Further, the identifying device 110 determines whether or not the volume of sound indicated by the data 702 is less than a predetermined volume. In the example of FIG. 8, the identification device 110 uses the magnitude indicated by the reference numeral 805 as the predetermined magnitude for the data 702 representing the sound corresponding to the thirteenth hammer.

  Here, in the specific device 110, since the magnitude of vibration is not less than a predetermined magnitude and the magnitude of sound is not less than a prescribed magnitude, the operating mechanism 105 of the 13th hammer 106 is not in a defective state. judge.

  Further, the identifying device 110 calculates a time difference 802 between the corresponding data 703 and data 704. Based on the time table 500, the specifying device 110 specifies that the data 703 and the data 704 are data corresponding to the eighth hammer 106.

  Then, the identification device 110 determines whether or not the magnitude of vibration indicated by the data 703 is less than a predetermined magnitude. In the example of FIG. 8, the identification device 110 uses the size indicated by the reference numeral 804 as the predetermined size for the data 703 representing the vibration corresponding to the eighth hammer.

  Further, the identifying device 110 determines whether or not the volume of the sound indicated by the data 704 is less than a predetermined volume. In the example of FIG. 8, the identification device 110 uses the magnitude indicated by the reference numeral 806 as the predetermined magnitude for the data 704 representing the sound corresponding to the eighth hammer.

  Here, in the specific device 110, since the magnitude of vibration is less than a predetermined magnitude and the magnitude of sound is less than a prescribed magnitude, the operating mechanism 105 of the eighth hammer 106 is in a defective state. Is determined.

  As described above, the identification device 110 corresponds to the data output from the vibration sensor 302 and the data output from the sound sensor 301 even when the timings at which the hammers 106 strike the dust collecting plate 102 are mixed. A hammer can be identified. Then, the identification device 110 can determine the defective state of the operating mechanism 105 of each hammer 106 based on the data corresponding to each hammer.

(Example of setting processing procedure)
Next, an example of a setting process procedure of the specific device 110 will be described with reference to FIG.

  FIG. 9 is a flowchart illustrating an example of the setting processing procedure. In FIG. 9, the identifying device 110 acquires information from the vibration sensor 302 and information from the sound sensor 301 (step S901). Next, the specifying device 110 specifies data representing vibration and data corresponding to each hammer 106 based on information from the vibration sensor 302 and information from the sound sensor 301 (step S902). ).

  Then, the identifying device 110 calculates a time difference between detection times of data representing vibration and data representing sound corresponding to each identified hammer 106 (step S903). Next, the specifying device 110 sets the calculated time difference corresponding to each hammer 106 in the record corresponding to each hammer 106 in the time table 500 (step S904). Then, the identifying device 110 ends the setting process.

(Example of specific processing procedure)
Next, an example of the specifying process procedure of the specifying device 110 will be described with reference to FIG.

  FIG. 10 is a flowchart illustrating an example of the specific processing procedure. In FIG. 10, the identification device 110 acquires information from the vibration sensor 302 and information from the sound sensor 301 (step S1001). Next, the identifying device 110 identifies data representing vibration and data representing sound based on information from the vibration sensor 302 and information from the sound sensor 301 (step S1002).

  Then, the identifying device 110 calculates a time difference between detection times of the data representing the identified vibration and the data representing the sound (step S1003). Next, the specifying device 110 specifies the hammer 106 corresponding to the calculated time difference based on the time table 500 (step S1004). Then, the specifying device 110 ends the specifying process.

  As described above, according to the specifying device 110, the hammer 106 corresponding to the time difference between the detection times of vibrations and sounds having different transmission paths and transmission speeds is specified based on the table in which the time difference and the hammer 106 are associated with each other. can do. Thereby, the specifying device 110 can specify which hammer 106 is generated by hitting the hitting seat 107 by the hammer 106. For this reason, the specifying device 110 specifies which vibration and sound correspond to which hammer 106, and determines whether or not the operating mechanism 105 of each hammer 106 is in a defective state. Can do.

  Further, the specifying device 110 can specify the hammer 106 corresponding to the combination of vibration and sound by combining the vibration and sound indicating the correlation. For example, the identification device 110 can combine vibration and sound that cause the time difference between detection times to be less than a predetermined length. In addition, the identification device 110 can combine, for example, vibration and sound in which the difference between normalized values is less than a predetermined value. As a result, the specific device 110 corresponds to which hammer and which sound and which sound are detected even if the detection timings of vibration and sound generated when a plurality of hammers 106 strike the hitting seat 107 are mixed. It is possible to specify what is to be done. Then, the identification device 110 can determine whether or not the operating mechanism 105 of each hammer 106 is in a defective state.

  Here, conventionally, an inspector of the electrostatic precipitator 100 applies an auscultation stick to the motor 103 or the like of the electrostatic precipitator 100 and listens to the sound of the hammer 106 striking the tapping seat 107. A case where the defect state 105 is determined is conceivable. However, in this case, if the inspector mixes the detection timings of vibration and sound generated when the hammers 106 strike the hitting seat 107, which vibration and which sound correspond to which hammer. It may not be possible to determine what to do. For this reason, the inspector may make an inspection mistake and cannot determine the defective state of the operating mechanism 105. Moreover, the management cost of the electric dust collector 100 such as labor costs may increase. On the other hand, the determination device 110 according to the present embodiment automatically determines a defective state even when the detection timings of vibration and sound generated when a plurality of hammers 106 strike the hitting seat 107 are mixed. And increase in management costs can be suppressed.

  Conventionally, it may be considered that an inspector of the electrostatic precipitator 100 visually inspects the hammer 106. However, in this case, the operation of the electrostatic precipitator 100 is temporarily stopped, the hot exhaust gas is allowed to pass through the electric precipitator 100 or corona discharge is stopped, and the inspector can enter the electrostatic precipitator 100. It will be. Furthermore, if only the electrostatic precipitator 100 is stopped, the exhaust gas is discharged without being cleaned. Therefore, only the precipitator 100 cannot be stopped, and the entire plant is stopped, resulting in an economic loss. Will occur. In addition, the inspector visually inspects the hammer 106 to be maintained, identifies the hammer 106 that does not need to be maintained as a hammer to be maintained, or overlooks the hammer 106 to be maintained. Sometimes.

  On the other hand, the determination device 110 according to the present embodiment automatically determines a defective state even when the detection timings of vibration and sound generated when a plurality of hammers 106 strike the hitting seat 107 are mixed. can do. For this reason, it is possible to support the identification of the hammer 106 to be maintained by the inspector. In addition, the inspector can maintain the electrostatic precipitator 100 at an appropriate time in consideration of the maintenance schedule of equipment different from the electrostatic precipitator 100 in the plant based on the defective state of the hammer 106. For this reason, the period which stops the whole plant can be reduced, and an economic loss can be reduced.

  The specifying method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The specific program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The specific program may be distributed via a network such as the Internet.

  The following additional notes are disclosed with respect to the embodiment described above.

(Appendix 1) Each of a plurality of hammers of an electric dust collector acquires first data output from a sound sensor capable of detecting sound generated by hitting a corresponding dust collector,
Each of the plurality of hammers obtains second data output from a vibration sensor capable of detecting vibration generated by hitting the corresponding dust collecting plate,
When the first data and the second data show a predetermined correlation, obtain a time difference between the acquisition timing of the first data and the second data,
Referring to the storage unit that stores the correspondence between the time difference length and the hammer, the hammer corresponding to the acquired length of the time difference is identified,
An output indicating that the identified hammer is the hammer that has obtained the first data or the second data;
A specific program that causes a computer to execute processing.

(Supplementary note 2)
Calculating the time difference between the acquisition timing of the first data and the acquisition timing of the second data;
Determining whether the calculated length of the time difference is less than a predetermined length;
The specific program according to appendix 1, wherein the process of acquiring the time difference stores the time difference when it is determined that the length of the time difference is less than the predetermined length.

(Supplementary note 3)
Calculating a first value obtained by normalizing the volume of sound indicated by the first data;
A second value obtained by normalizing the magnitude of vibration indicated by the second data is calculated;
Determining whether the difference between the calculated first value and the second value is less than a predetermined value;
The specific program according to appendix 1 or 2, wherein the process of acquiring the time difference acquires the time difference when it is determined that the difference is less than the predetermined value.

(Supplementary note 4)
Processing for determining whether or not the volume of sound indicated by the first data is less than a predetermined volume, or whether or not the magnitude of vibration indicated by the second data is less than a predetermined volume And execute
In the process of outputting, when it is determined that the volume of the sound is less than a predetermined volume, or when it is determined that the magnitude of the vibration is less than a predetermined volume, the specified hammer is The specific program according to any one of appendices 1 to 3, wherein an output indicating that the hammer has obtained the first data or the second data is output and a determination result is output.

(Supplementary Note 5) Each of the plurality of hammers of the electric dust collector acquires first data output from a sound sensor capable of detecting sound generated by hitting a corresponding dust collector, and each of the plurality of hammers Acquires second data output from a vibration sensor capable of detecting vibration generated by hitting the corresponding dust collecting plate, and the first data and the second data have a predetermined correlation. The time difference between the acquisition timing of the first data and the second data is acquired, and the acquired length of the time difference is obtained by referring to the storage unit that stores the correspondence between the length of the time difference and the hammer. A control unit that specifies a hammer corresponding to the height and outputs that the specified hammer is the hammer that has obtained the first data or the second data;
A specific apparatus comprising:

(Appendix 6) Each of the plurality of hammers of the electric dust collector obtains first data output from a sound sensor capable of detecting sound generated by hitting a corresponding dust collecting plate,
Each of the plurality of hammers obtains second data output from a vibration sensor capable of detecting vibration generated by hitting the corresponding dust collecting plate,
When the first data and the second data show a predetermined correlation, obtain a time difference between the acquisition timing of the first data and the second data,
Referring to the storage unit that stores the correspondence between the time difference length and the hammer, the hammer corresponding to the acquired length of the time difference is identified,
An output indicating that the identified hammer is the hammer that has obtained the first data or the second data;
A specifying method characterized in that a computer executes a process.

DESCRIPTION OF SYMBOLS 100 Electric dust collector 110 Specific apparatus 600 Control part 601 1st acquisition part 602 Calculation part 603 Determination part 604 2nd acquisition part 605 Specification part 606 Output part

Claims (5)

Each of the plurality of hammers of the electric dust collector acquires the first data output from the sound sensor that can detect the sound generated by hitting the corresponding dust collecting plate,
Each of the plurality of hammers obtains second data output from a vibration sensor capable of detecting vibration generated by hitting the corresponding dust collecting plate,
When the first data and the second data show a predetermined correlation, obtain a time difference between the acquisition timing of the first data and the second data,
Referring to the storage unit that stores the correspondence between the time difference length and the hammer, the hammer corresponding to the acquired length of the time difference is identified,
An output indicating that the identified hammer is the hammer that has obtained the first data or the second data;
A specific program that causes a computer to execute processing. In the computer,
Calculating the time difference between the acquisition timing of the first data and the acquisition timing of the second data;
Determining whether the calculated length of the time difference is less than a predetermined length;
The specific program according to claim 1, wherein the process of acquiring the time difference stores the time difference when it is determined that the length of the time difference is less than the predetermined length. In the computer,
Calculating a first value obtained by normalizing the volume of sound indicated by the first data;
A second value obtained by normalizing the magnitude of vibration indicated by the second data is calculated;
Determining whether the difference between the calculated first value and the second value is less than a predetermined value;
The specific program according to claim 1, wherein the process of acquiring the time difference acquires the time difference when it is determined that the difference is less than the predetermined value. Each of the plurality of hammers of the electrostatic precipitator acquires first data output from a sound sensor capable of detecting sound generated by hitting a corresponding dust collecting plate, and each of the plurality of hammers corresponds to the correspondence When the second data output from the vibration sensor capable of detecting the vibration generated by hitting the dust collecting plate is acquired, and the first data and the second data show a predetermined correlation The time difference between the acquisition timing of the first data and the second data is acquired, and the storage unit that stores the correspondence between the length of the time difference and the hammer corresponds to the acquired length of the time difference. A control unit that identifies a hammer and outputs that the identified hammer is the hammer that has obtained the first data or the second data;
A specific apparatus comprising: Each of the plurality of hammers of the electric dust collector acquires the first data output from the sound sensor that can detect the sound generated by hitting the corresponding dust collecting plate,
Each of the plurality of hammers obtains second data output from a vibration sensor capable of detecting vibration generated by hitting the corresponding dust collecting plate,
When the first data and the second data show a predetermined correlation, obtain a time difference between the acquisition timing of the first data and the second data,
Referring to the storage unit that stores the correspondence between the time difference length and the hammer, the hammer corresponding to the acquired length of the time difference is identified,
An output indicating that the identified hammer is the hammer that has obtained the first data or the second data;
A specifying method characterized in that a computer executes a process.

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