JPH05322642A - Abnormality diagnosis system for rotating machine - Google Patents

Abstract

PURPOSE:To realize easy and quick inspection work by providing an inspection planning section for automatically preparing an optimal inspection schedule depending on the extent of abnormality determined based on past inspection results thereby finding abnormal phenomenon in early stage. CONSTITUTION:A computor 1 is configured as a data management unit and reads in information required for inspection planning from a database storing inspection assist information for machines through an I/O section 2. An inspection planning section 8 comprises an abnormal inverting section 3, an abnormal level setting section 4, a schedule section 5, a selecting section 6, and an interface section 7. The setting section 4 sets abnormal levels for respective machines based on information fed from the decision section 3 and the schedule section 5 sets an inspection schedule for each machine based on the information. The selecting section 6 selects a machine to be inspected and produces inspection assist information to be transferred to a data collector 13. The data collector 13 stores the inspection assist information in a memory 15 through an interface section 14 under control of a CPU 21 and an inspection assist section 16 assists the inspection work.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a rotating device abnormality diagnosing device for efficiently performing inspection management and inspection work for each rotating device installed and housed in a plant or the like.

[0002]

2. Description of the Related Art In order to perform inspection work on each rotating equipment installed and housed in a plant or the like, until now, referring to a sheet on which the inspection target equipment and the inspection location are recorded, Every time data is measured at the installation site, the inspection result is written on the form. After the inspection of each of the inspection target devices is completed, the inspection data is manually input to the computer, and the rotating device is inspected and managed.

On the other hand, recently, with the price reduction and high functionality of computers, thermal power generation Vol. 42
No. 1 (1991-1), TAG. NO. The barcode assigned to is installed in the measuring section of the equipment, and maintenance personnel perform periodic patrol inspection of the equipment using a simple device with a built-in sensor and memory.
An inspection management system has been developed in which inspection data is transferred to a computer and stored after completion of the inspection.

[0004]

However, in the case of the above-mentioned inspection management, it is difficult to create an optimal inspection plan that corresponds to the degree of abnormality of the equipment, and the frequency of inspections is low, leading to accidents. Or, the inspection work was performed more than necessary, resulting in a trouble such as an extra effort. An object of the present invention is to provide a rotating device abnormality diagnosing apparatus capable of early detecting an abnormal phenomenon in each rotating device by efficiently inspecting each general-purpose rotating device in a plant or the like.

[0005]

SUMMARY OF THE INVENTION Basically, the above-mentioned object is achieved by a data management device equipped with a computer and managing data, and a data collection device equipped with a computer and collecting data via communication means. It is configured to regularly perform a health diagnosis of each of a large number of rotating devices in a plant, etc. in a connected state.The data management device stores at least the inspection schedule, inspection points, and past inspection history of each rotating device. And the like, and the data from the inspection information database and the process data and vibration data from each of the rotating equipment, the overall degree of abnormality of the rotating equipment, a plurality of levels from a plurality of abnormality determination items An abnormality determination unit that comprehensively determines that it corresponds to any of the stages, and an abnormality degree from the abnormality determination unit. Depending on the turning point unit each importance,
After setting the optimal inspection schedule for each rotating machine,
At least an inspection planning unit that automatically creates an inspection plan is provided, while the data collection device allows the inspection order of each rotating device to be inspected selected by the data management device to be changed. The inspection support information display section that displays the inspection support information, and the process data and vibration data collected from each rotating equipment to be inspected are digitally temporarily stored, and the transfer request from the data management device is sent. This is achieved by at least including a collected data storage / transfer unit that regularly transfers the data to the data management device.

[0006]

[Function] According to the degree of abnormality of each rotating machine and its importance, an optimum inspection schedule (inspection interval) for each rotating machine is set, and an inspection plan is automatically created. It is possible to automatically select the rotating equipment to be inspected from the plan each time it is inspected, and if the inspection support information for each selected rotating equipment is displayed on the data collection device side, the rotating equipment Each can be easily inspected by optimizing the inspection interval.

[0007]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below with reference to FIGS. First, an offline type rotating machine abnormality diagnosing device according to the present invention will be described. FIG. 2 shows a schematic configuration of a rotating machine abnormality diagnosing apparatus that is also capable of performing online rotating machine abnormality diagnosis. In this case, various sensors 3 permanently installed at the diagnostic location of the important rotating equipment to be diagnosed.
While the sensor signals from the respective sensors 0 are provided to the online diagnostic processing, various sensors 31 which are attached to the diagnostic points of the general-purpose rotating equipment to be diagnosed as required can be coupled to the data collecting device 37. The sensor signals from each of the various sensors 31 are used for offline diagnosis processing. The sensor signal from each of the various sensors 30 is supplied as online data via the online data collecting unit 32 to the first computer 34 and further to the second computer (main computer) 36 via the interface 35. At that time, The first computer 34 carries out real-time monitoring diagnosis of a part of the online data, and the second computer 36 carries out normal diagnosis of the online data. On the other hand, the sensor signal from each of the various sensors 31 is temporarily stored in the offline data collection unit 33 as offline data via the data collection device 37, and is then supplied to the second computer 36 via the interface 35, so that normal diagnosis Is to be done. At that time, the interface 35 normally supplies the online data to the second computer 36.
It functions to supply the offline data to the second computer 36 instead of the online data as needed.

More specifically, various sensors 30 will be described.
The sensor signals from each are collected as various kinds of online data by the online data collecting unit 32 and then diagnosed online by the second computer 36. At that time, at least one kind of online data among the various kinds of online data is acquired. Are monitored and diagnosed in real time by the first computer 34. Further, the sensor signals from the various sensors 31 recorded in the data collecting device 37 are accumulated offline as offline data in the offline data collecting unit 33, and then supplied to the second computer 36 for sequential diagnosis. Is becoming The second computer 36 normally diagnoses online data.
Interface 3 under control of computer 36 of
By performing the data switching in 5, the diagnosis of the offline data is regularly performed. In such a state, if any abnormality is detected in any of the online data to be monitored by the monitoring diagnosis by the first computer 34, the first computer 34 immediately outputs the second computer 36. On the other hand, while the interrupt signal is generated, the second computer 36 immediately interrupts the diagnosis of the data (online data or offline data) currently being performed by the interrupt signal. After that, the first computer 34 supplies online data or the like relating to the abnormality detection to the second computer 36, and the second computer 36 performs detailed diagnosis on the online data to determine whether it is abnormal. Whether or not it is being determined. In addition to the online processing and the offline processing, the second computer 36 also has a function of managing the inspection information (inspection date, inspection location, inspection item, etc.) about the rotating equipment that is monitored offline. The inspection information is supplied as inspection support information from the second computer 36 to the data collection device 37 via the interface 35 during the inspection work using the data collection device 37.

As described above, the rotating device abnormality diagnosing device according to the present invention performs monitoring diagnosis including real-time monitoring diagnosis by online data for important rotating devices, and offline data for other general-purpose rotating devices. Since the monitoring diagnosis is performed by the method, it is possible to collectively perform a simple diagnosis according to the degree of importance of all the rotating devices and a detailed diagnosis as necessary. At that time, since the diagnostic result for each rotary device as an offline diagnostic target is used as selection information for the target device for the next offline inspection, the rotary device to be inspected next time can be appropriately selected. ing. Further, since the real-time monitoring diagnosis is simultaneously performed on the important rotating equipment, the abnormal operation of the particularly important rotating equipment can be detected early.

Here, the diagnostic operation of the rotating device abnormality diagnosing apparatus according to the present invention will be described assuming that the rotating device is a pump. FIG. 3 shows an operation flow thereof. In this case, first, in step 70, it is determined whether or not the offline data is allowed as various input data to the rotating device abnormality diagnosis device. That is, when the non-offline processing mode is set in advance in the rotating device abnormality diagnosis device, various input data are only online data, and the online data is fetched in step 71, and the fetched online data is used. For the data, that is, the vibration data and the process data (temperature, pressure, flow rate, rotation speed, etc.), an online simple diagnosis is executed in step 72. In the subsequent step 73, it is judged whether or not the online simple diagnosis is completed,
If the online simple diagnosis is not yet completed, the process proceeds to step 74 and step 91 (described later).
The presence or absence of an interrupt signal is determined by real-time monitoring and diagnosis from. If it is determined in this determination that there is no interrupt signal, the process proceeds to step 7.
In addition to returning to 2, the online simple diagnosis is repeatedly performed. If there is an interrupt signal, the process proceeds to step 75 and step 75
Then, after the vibration data and the process data of the pump in which the abnormality is detected by the real-time monitoring and diagnosis are collected online, in step 76, the database of the pump related to the abnormality detection from the external storage device (various characteristics and past inspection) is performed. (History etc.) is to be read. Subsequently, in step 77, based on the vibration data and the process data obtained from the pump related to the abnormality detection and the database regarding the pump related to the abnormality detection read in step 76, the detailed data regarding the vibration data and the process data is obtained. After the diagnosis is executed, in step 78, the result of the detailed diagnosis is displayed on the color CRT display screen together with the schematic configuration diagram of the pump, the estimated cause of the abnormal state, and the certainty factor, and the abnormal state is checked. Countermeasures are displayed as guidance. Then, in step 79,
The degree of the abnormal state of the pump related to the abnormality detection is determined based on the result of the detailed diagnosis. If it is determined that the abnormal state is severe, the pump related to the abnormality detection is determined in step 80. Is issued an operation stop command. Further, if it is determined that the abnormal state is slight, the process is returned to the starting step 70 again. on the other hand,
In step 73, when the online simple diagnosis is completed, it is determined in step 81 whether or not there is an abnormality sign in the result of the online simple diagnosis. In this determination, if no abnormal sign is found, the process is returned to the first step 70, but if a transition abnormal sign is found, the process is moved to step 76 and steps 76 to 80 are performed. The processing is performed sequentially.

The above is the operation in the case where the non-offline processing mode is set. However, if the offline processing permission mode is set at that time so that the offline processing is performed, the offline processing is performed in step 70. After it is determined that the inspection work is necessary, it is determined in step 82 whether or not the inspection work is performed, that is, whether or not the inspection work is performed. If the inspection work is required, the inspection planning process (described later) is performed in step 83, and after the pump to be inspected is selected, the inspection support information is sent to the data collection device in step 84. The data is supplied and the inspection based on this is actually performed, so that the data collection from various sensors is started.
After the inspection is completed, offline data is taken in at step 85. On the other hand, if it is determined in step 82 that the inspection is not necessary, the offline data is taken in in step 85. In any case, if the offline data is taken in in step 85, the step is taken. At 86, similar to step 72 described above, the offline simple diagnosis is executed on the taken-in offline data. In step 87, it is judged whether or not the offline simple diagnosis is completed. If the offline simple diagnosis is not completed yet, it is judged in step 88 whether or not there is an interrupt signal by the real-time monitoring diagnosis from step 91. It has become a thing. In this determination, if there is no interrupt signal, the process returns to step 86 and the offline simple diagnosis is repeatedly performed. However, if there is an interrupt signal, vibration data and process data regarding the pump related to the abnormality detection are collected. The process is transferred to the above-described step 75, and thereafter, the processes in steps 75 to 80 are sequentially performed. On the other hand, when it is determined in step 87 that the offline simple diagnosis is completed, it is determined in step 89 whether or not there is an abnormality sign in the result of the offline simple diagnosis. If an abnormal sign is found in this determination, the process proceeds to step 76 and the processes in steps 76 to 80 are sequentially performed. If no abnormal sign is found, the process starts at step 70. It is supposed to be returned to. Well, here
Explaining Steps 90 and 91, Step 90
In the above, at least one kind of online data of various kinds of online data to the rotating device abnormality diagnosis apparatus is always fetched in real time and processed, but in the following step 91, it is fetched in step 90. The online data is also subject to real-time monitoring and diagnosis. In step 91, if no abnormality is found in the online data, no output is generated, but if any one of the online data has an abnormal value,
It is supposed to issue an interrupt signal. The presence / absence of this interrupt signal is determined in each of the above-described steps 74 and 88.

The online processing and the offline processing in the rotating device abnormality diagnosis apparatus according to the present invention have been described above. The offline processing directly according to the present invention will be described below in detail. That is, in short, the offline processing is a processing for detecting the presence or absence of an abnormality in each pump by performing an offline diagnostic processing on inspection data obtained from each general-purpose pump that is relatively insignificant. It At the time of the diagnosis, after each inspection, the pump to be inspected is first selected by the inspection planning process, and then the inspection support information about the pump is supplied to the data collection device and then displayed. .. When actually inspecting, place the data collection device that displays the inspection support information near the pump to be diagnosed, and use the vibration data obtained from the diagnostic point of the pump on the magnetic tape and process. The data is temporarily recorded on a magnetic tape, an IC card or the like. Finally, the vibration data and the process data are digitally stored in a magnetic tape in a predetermined format, and then, if necessary, reproduced offline. The reproduced vibration data and process data are transferred to the data management device side and are also monitored and diagnosed.

The inspection planning process is a process for selecting a pump to be inspected from a general-purpose pump group of low importance in the off-line process. First, the degree of abnormality of each pump is determined using various diagnostic results stored in the database. Based on the result of the determination, an abnormal level is assigned to each pump, and from this, an inspection schedule indicating the inspection time and the inspection interval is automatically set by the computer for each pump. Therefore, referring to the inspection schedule, the pump to be inspected at each inspection time can be automatically selected.
After the pump is selected, inspection support information including the inspection location and inspection conditions for the selected pump is transferred from the data management device to the data collection device and displayed to support on-site inspection work. There is something.

Now, FIG. 1 shows a schematic configuration of an example of a rotating device abnormality diagnosis apparatus according to the present invention. In this case, the computer (the second computer 3 described above)
(Corresponding to 6) 1 is configured as a data management device,
It is necessary for inspection planning processing from a database (not shown) that stores specific information such as specifications and performance of each pump and inspection support information such as inspection points and inspection items via the input / output unit 2. Information is to be read into the computer 1. Further, the abnormality determination unit 3 determines the abnormality degree of each pump from the information read via the input / output unit 2, and the abnormality level setting unit 4
In addition, the abnormality level for each pump is set based on the abnormality degree determination result from the abnormality determination unit 3. Further, the scheduling unit 5 sets an inspection schedule for each pump based on the information from the abnormality level setting unit 4, and the selecting unit 6 selects the pump to be inspected. The selection unit 6 also creates inspection support information and transfers it to the data collection device 13 via the interface unit 7. The above-mentioned input / output unit 2, abnormality determination unit 3, abnormality level setting unit 4, scheduling unit 5,
The selection unit 6 and the interface unit 7 are components of the inspection planning unit 8. In addition, in the computer 1, an online processing unit 9 for executing online processing and an offline processing unit for executing offline processing are provided. Although the processing unit 10 and the diagnostic processing unit 11 for executing the diagnostic process are included, each of the above units 2 to 11 is a CPU.
It is collectively controlled by 12.

On the other hand, in the data collection device (corresponding to the data collection device 37 described above) 13, the inspection support information from the data management device is temporarily stored in the memory 15 via the interface section 14 under the control of the CPU 21. In addition, the inspection support unit 16 supports the inspection work. According to the inspection support information, vibration data and process data can be obtained from the inspection target pump with various sensors (corresponding to the various sensors 31 described above) 19 attached to each measurement portion of the inspection target pump. However, these data are recorded in the recording unit 18 as a magnetic tape under the control of the control unit 17 that sets various conditions for capturing the data. The display unit 20 displays the necessary items for the processing in each of the above units, and is equipped with a keyboard (not shown) for data input.

The inspection planning process will be described below. FIG. 4 shows the process flow. In this case, in step 22, the frequency analysis, the phase analysis, the trend analysis, the effect vector analysis, the vibration trend pattern analysis, the pattern analysis of the relationship between the vibration and the rotational speed, the vibration and the flow rate recorded in the database for each pump are performed. Relationship analysis results, phase change pattern analysis, etc., waterfall analysis, cross-correlation function analysis, transfer function analysis, Lissajous analysis, etc. It has been called. In the next step 23, the diagnostic results are classified for each pump, and the current abnormal level of each pump is confirmed. By analyzing the data for each classified pump, it is possible to determine what degree of abnormality each pump currently has,
The abnormal level of each pump is determined based on the determination result. Then, in step 24, the inspection date of each pump is set based on the abnormal level of each pump,
Furthermore, the inspection schedule is created by scheduling the inspection schedule. In step 25, the pump to be inspected is selected based on the inspection plan and is displayed on the screen. FIG. 5 shows the inspection plan as an example. As shown in the figure, the yearly inspection period is shown as a white circle for each month, and for the inspection period that has already been inspected, it is shown as a black circle, but as you can see, As each pump is more important,
The inspection date is set so that the inspection interval becomes smaller as the abnormality level increases.

Returning to FIG. 4 again and continuing the explanation, after the pump to be inspected is selected, it is judged in step 26 whether or not the selected pump to be inspected needs to be changed in selection. However, if it is not necessary to change the selection of the pump to be inspected, in step 29, inspection support information is created from the inspection information such as the measurement location and measurement conditions of the selected pump to be inspected, and the data collection device is also created. It is supposed to be transferred to. If it is necessary to change the selection of the pump to be inspected, the pump to be inspected is re-selected in step 27, and in step 28, after the re-selected pump is scheduled, 29, inspection support information is created from the inspection information such as the measurement location and measurement conditions of the selected pump to be inspected, and is then transferred to the data collection device.

Here, the abnormality degree determination / level division processing in step 23, the scheduling processing in step 24, and the selection processing in step 25 will be described in more detail below. That is, FIG. 6 shows a flow of the abnormality degree determination / level division processing. In this case, in step 150, frequency analysis, phase analysis, trend analysis, effect vector analysis, vibration trend pattern analysis, which are called from the database,
Each analysis result such as pattern analysis of relationship between vibration and rotation speed, pattern analysis of relationship between vibration and flow rate, pattern analysis of phase change, waterfall analysis, cross-correlation function analysis,
The analysis results such as the transfer function analysis and the Lissajous analysis, the certainty factor obtained by the detailed diagnosis, and the like are classified according to the pumps, and in step 151, the diagnosis results classified according to the pumps are classified according to the items of each diagnosis result. The degree of abnormality of the pump is judged. For example, the following six levels can be considered as abnormalities. Abnormality level A: Pump operation stopped Abnormality level B: Strict monitoring Abnormality level C: Critical monitoring Abnormality level D: Attention abnormal level E: Normal abnormal level F: Normal continuation (in the last four inspections,
No sign of abnormality) The diagnosis result of each item is assigned as corresponding to any of the six stages of abnormality degrees A to F. For example, the frequency analysis result, the phase analysis result, and the trend analysis result are determined as E, D, and C, respectively. Then, in step 152, the degree of abnormality of each pump as a whole is determined based on the diagnostic results.
At that time, as a method of judgment, a judgment method of taking a simple average of the judgment results of the degree of abnormality in each item of each diagnosis result, or giving a weight to each item of the diagnosis result in an important item order, and then By the averaging method, the degree of abnormality of each pump is comprehensively determined. In the subsequent step 153, the degree of abnormality from step 152 is determined as the abnormality level in the pump, and then stored in the database in step 154.

Next, the scheduling process will be described. FIG. 7 shows a flow of the scheduling process. In this case, in step 160, the abnormality level of each pump determined by the abnormality degree determination / level division processing is confirmed, and then in step 161, the abnormality level of each pump is A,
It is determined whether any of B, C, D corresponds to any of E or F. If the abnormal level of the pump is any one of A, B, C, D, in step 162, the abnormal level is A, B, C, D.
In this case, the inspection schedule condition is read from the database. For example, the inspection schedule conditions are as follows. Abnormal level A: None (Stop operation) Abnormal level B: 2 hours interval Abnormal level C: 1 day interval Abnormal level D: After reading more than half the normal inspection schedule conditions In step 163, based on the inspection schedule conditions, an inspection plan is scheduled and an inspection plan is created so as to set an inspection execution date for each pump. In step 167 thereafter, the created inspection plan is displayed, and in step 168, it is determined whether or not the inspection plan needs to be changed. If the inspection plan does not need to be changed, the scheduling process is ended, but if the inspection plan needs to be changed, the necessary parts are changed in step 169, and then the process is returned to step 167. It has become a thing. On the other hand, in step 161, the abnormal level is E,
If either of F is satisfied, it is determined in step 164 whether the abnormal level is E or F. If the determination is that the abnormality level is E, the process proceeds to step 167. However, if the abnormality level is F, the inspection schedule condition when the abnormality level is F at step 165 is the database. It is supposed to be read from. For example, the inspection schedule conditions are as follows. Abnormal level F: Double the normal (extension of the inspection interval) When abnormal level is F, the inspection interval is doubled compared to the inspection interval at the normal time (when abnormal level is E) The schedule condition is set. In step 166, based on the inspection schedule conditions, an inspection plan is scheduled to set an inspection execution date for each pump, and an inspection plan is created.
~ 169 each processing is performed.

The selection process will be described below with reference to FIG.
Shows the flow of the selection process. In this case, in step 180, the inspection plan information for each pump set by the scheduling process is read, and in the next step 181, the inspection plan information is confirmed for each pump. Then, in step 182, it is determined from the inspection plan information whether there is a pump to be inspected today. If there is a corresponding pump, step 183 is performed.
The pump has been selected for today's inspection. Next, in step 184, inspection information such as inspection points and inspection items for the pump to be inspected is read from the database, and then step 1
In 85, inspection support information for the data collection device is created based on the inspection information. On the other hand, in step 182, if the pump to be inspected for today is not found in the inspection plan information, step 186
So, I can't find the pump that I need to check today,
If necessary, it is decided whether or not there is a pump to be inspected. If it is determined that there is no pump to be inspected, the selection process is terminated as it is. If not, the pump to be inspected is selected in step 187, and in step 188,
After rescheduling the inspection plan for the pump selected for inspection, steps 184, 185 are performed.
Each processing is sequentially performed.

Next, the inspection support processing in the data collection device will be described. The inspection support information created by the inspection planning process is received and displayed by the data collection device to collect the vibration data and the process data. In order to provide guide information for inspection work, FIG. 9 shows a schematic configuration of an example of a data collection device as a pump data collection device. As shown in the figure, a triaxial vibrometer is used as the vibration sensor 130. The vibration sensor 13 is sequentially attached to the measurement points of the pump to be diagnosed,
The vibration at the measurement point is detected from the vibration sensor 130, but the vibration detection signals corresponding to the three axes are amplified by the X-, Y-, and Z-axis amplifiers 132a to 132c through the connector 131 with optimum amplification factors. It has become a thing. X, Y,
In each of the Z-axis amplification factor determination units 133a to 133c, X,
The proper amplification factors for the Y and Z axis amplifiers 132a to 132c have been determined, and the determined proper amplification factors are controlled by the CPU 136 and are respectively stored in the X, Y, and Z axis amplification factor setting sections 134a to 134c. By being set, the vibration detection signals corresponding to the three axes are optimally amplified. The optimally amplified vibration detection signals corresponding to the three axes from the X, Y, and Z axis amplifiers 132a to 132c are controlled by a signal capturing unit 135, and a data recorder (a magnetic tape device capable of digital storage) 141. Is stored in. The data collection device also includes a display unit 137 for displaying various processing contents, a keyboard 138 for setting the processing contents of various processes, various processing contents, and various data input from the keyboard 138. An IC card 139, an input / output device (corresponding to the above-described interface 14) 140 for transferring various processing contents and various data input from the keyboard 138 to an external device, confirmation of inspection equipment, inspection history, etc. before inspection For the purpose of use, a small magnetic recording / reproducing device 142 is used for recording the inspection result and the notice when the inspection is completed.

Here, the inspection support processing in the data collection device will be described. FIG. 10 shows a flow of the inspection support processing. If so, step 15
In step 0, the inspection support information from the data management device is received via the input / output device 140, and the subsequent step 151.
Then, the received inspection support information is displayed on the display unit 137. The inspection support information is confirmed based on the display, and at that time, it is determined in step 152 whether or not any correction is necessary. If there are no modifications, step 15
The inspection work is started in step 3, but if it is determined that the correction is necessary, in step 154, the display unit 13
The necessary portion of the inspection support information displayed in 7 is corrected by a key input operation from the keyboard 138, and the corrected inspection support information is displayed in step 151. In the correction, for example, a change is made in the inspection order of the pump to be inspected, and FIG. 15 shows the state of the change. As illustrated, the pump to be inspected was scheduled to be inspected in the order of AAA, BBB, and CCC.
The inspection may actually be performed in the order of BB, AAA, CCC, and the inspection order of the pump to be inspected can be easily changed by operating the keyboard 138 or the function switches F1, F2. ..

The correction is repeated as necessary, and when the correction is completed, the inspection work is started in step 153. Prior to the inspection, the display unit 137 is operated in step 155. Indicates the name of the pump to be inspected. The display prompts the maintenance person to move to the location where the pump is installed. In step 156, it is confirmed whether the pump is an inspection target. Whether or not the pump is the pump displayed on the display unit 137 is determined by comparing the contents (including pump identification information) of the magnetic memory previously attached to the measuring unit of the pump with the small magnetic recording / reproducing device 142. It can be easily confirmed by reading out and displaying it. When the confirmation of the pump is completed, step 157 displays the input items of the process data such as temperature, pressure, and flow rate on the display unit 137, and at step 158, those items are input by the key operation from the keyboard 138. The actual measurement value of the data is to be input. Then, in step 159, the measurement point of the pump is confirmed,
After the vibration sensor 130 is attached to the measurement point while confirming the attachment direction, the measurement switch is turned on in step 160. As a result, the vibration detection signals from the vibration sensor 130 in the X, Y, and Z axis directions are X,
Through the Y, Z axis amplifiers 132a, 132b, 132c, the X, Y, Z axis amplification factor determination units 133a, 133b, 13 are provided.
3c, the optimum amplification factor can be determined. For example, the amplification factor determination units 133a, 133b, 133
In each of c, the X, Y, and Z axis amplifiers 132a, 132b, 1 for recording the vibration detection signal on the magnetic tape.
The optimum amplification factor of each of the 32c is determined from the amplification factors of 1, 10, and 100 times, and the optimum amplification factor as a result of the determination is X,
It is set in the Y- and Z-axis amplification factor setting units 134a to 134c. As described above, the vibration data is collected after the setting of the optimum amplification factor. In order to collect the vibration data, in step 160, the data recorder 14 is selected.
1 is activated by the CPU 136 via the signal capturing section 135, and a vibration detection signal is recorded on the built-in magnet tape. After the vibration detection signal is recorded on the magnetic tape for a certain period of time, the operation of the data recorder 141 is stopped, and then in step 161, it is determined whether or not there is an unmeasured portion. .. As long as there are still measurement points, the process returns to step 159 and step 16
At 0, vibration data is collected. When it is determined in step 161 that there is no unmeasured portion, it is determined in step 162 whether or not there is a pump to be inspected. If there is not, the inspection support process is temporarily ended, but as long as there is still, the process is repeatedly returned to step 155 so that the inspection is sequentially performed for each pump to be inspected. is there.

When the measurement switch is turned on, a series of processes are sequentially performed at step 160, but these processes are automatically sequentially performed under the control of the CPU 136. Therefore, when the inspection work is performed, the maintenance person can collect the vibration data without performing any troublesome operation. Especially when collecting and recording the vibration detection signals, the X, Y, and Z axis amplifiers 13 are used.
Although it is necessary to preset the optimum amplification factor for each of 2a to 132c, since the setting is automatically performed, the risk of erroneous operation can be greatly reduced. In addition, after the inspection, the magnetic recording / reproducing device 142 is used, if necessary, in the magnetic memory attached to the measuring portion of the pump to record the inspection result and the notices at the time of the inspection. It can be referred to as reference information during work. Further, as the magnetic recording / reproducing device 142, if the function is limited only to the pump confirmation before the inspection, a bar code reader or the like is used instead.

FIG. 11 shows a method of checking a device to be inspected by a bar code. As shown in the figure, a bar code 203 is attached to each of the bearings 201a and 201b in the pump 200 to be inspected, but prior to the inspection, the bar code is read by the bar code reader 202 built in the data collection device. By reading the code 203, the pump 200 to be inspected can be easily confirmed. In addition, FIG. 12 shows a method for checking a device to be inspected using a magnetic memory. As shown, magnetic bearings 211a and 211b are installed in the bearings of the pump 210 to be inspected, respectively. When reading the device identification information, the bar code 203
The inspection target pump 210 can be easily confirmed in the same manner as in (1). The bar code and the magnetic memory are not limited to bearings, but are attached and installed at all measurement points.

As described above, the vibration detection signals are X, Y,
Recording is performed in the Z-axis direction. Here, the recording format of the vibration detection signal corresponding to the axial direction will be described. FIG. 13 shows a recording format as an example of the vibration detection signal on the magnetic tape. .. As shown, the first signal recording unit 17
It is composed of 0 to 5 signal recording units 174, and the details of each are as follows. First signal recording unit 170: An amplification factor recording unit for each of the amplifiers 132a to 132c, and +0.5 when the amplification factor is 1 time.
(V) voltage level, +1 (V) voltage level when the amplification factor is 10 times, -1 (V) voltage level when the amplification factor is 100 times, and so on. Each is recorded. Second signal recording unit 171: A calibration voltage recording unit that records a reference voltage level, for example, a voltage level of 1 m (V). Third signal recording unit 172: A recording unit for recording the vibration detection signal (vibration waveform) itself, and the vibration detection signal is recorded for a set time. Fourth signal recording unit 173: a recording unit for the end signal,
The same voltage level as the voltage level corresponding to the amplification factor recorded in the signal recording unit 170 is recorded. Fifth signal recording unit 174: A mute signal recording unit that records a voltage level serving as a reference for each voltage level, for example, a voltage level of 0 (V).

FIG. 14 also shows a recording format in an example in which a vibration detection signal, inspection information (inspection date, inspection point, inspection item, etc.) and process data are collectively recorded on a magnetic tape. .. As shown in the figure, the first signal recording section 180 to the ninth signal recording section 189 are constituted, and the details of each are as follows. First signal recording unit 180: a recording unit for inspection information, which records inspection information such as the name of the plant that performed the inspection, the inspection date and time, and the name of the inspector. Second signal recording unit 181: A pump name recording unit, in which the name of the pump that has performed the inspection is recorded. Third signal recording unit 182: A process data recording unit that records process data such as temperature, pressure, and flow rate. Fourth signal recording unit 183: a recording unit of the vibration measuring unit, in which the measuring unit that measured the vibration data of the pump is recorded. Fifth signal recording unit 184: Corresponding to the first signal recording unit 170 described above. Sixth signal recording unit 185: Corresponding to the second signal recording unit 171 described above. Seventh signal recording unit 186: Corresponding to the above-mentioned third signal recording unit 172. Eighth signal recording unit 187: Corresponding to the fourth signal recording unit 173 described above. Ninth signal recording unit 188: Corresponding to the above-mentioned fifth signal recording unit 174. By the way, the items of the inspection information and the process data are automatically called under the control of the CPU 136 after the necessary information is input from the keyboard 138 when the data is collected from the inspection support information recorded in the data collection device. It is supposed to be recorded at the beginning of the magnetic tape.

The case where the rotating device abnormality diagnosing device according to the present invention is applied to a pump has been described above. However, the application target of the present invention is not limited to the pump, and other rotating devices such as a motor and a steam turbine. It is obvious that the above can be similarly applied to. Further, the flow of performing various data processing is not limited to the contents already described, and can be appropriately changed within the scope not departing from the technical idea thereof.

[0029]

As described above, according to the first to the tenth aspects, in the off-line processing for monitoring a large number of general-purpose rotating devices, the abnormal degree of the rotating devices is judged from the past inspection results, and By providing an inspection planning process that automatically creates an optimal inspection schedule according to the degree of abnormality, it is possible to perform more reliable monitoring even for general-purpose rotating equipment that occupies the majority of the entire plant, and collect data. The inspection support process that guides the inspection work provided in the device enables the inspection work to be facilitated and speeded up, thereby improving the reliability of the plant.

[Brief description of drawings]

FIG. 1 is a diagram showing a schematic configuration of an example of a rotating device abnormality diagnosis apparatus according to the present invention.

FIG. 2 is a diagram showing a schematic configuration of a rotary device abnormality diagnosis device including an offline type rotary device abnormality diagnosis device according to the present invention, which is also capable of online rotary device abnormality diagnosis.

FIG. 3 is a diagram showing a diagnostic operation flow in the rotating device abnormality diagnosing device.

FIG. 4 is a diagram showing a processing flow of inspection planning.

FIG. 5 is a diagram showing an example of an inspection plan.

FIG. 6 is a diagram showing a flow of abnormality degree determination / level division processing.

FIG. 7 is a diagram showing a flow of a scheduling process.

FIG. 8 is a diagram showing a flow of a selection process.

FIG. 9 is a diagram showing a schematic configuration of an example of a data collection device as a pump data collection device.

FIG. 10 is a diagram showing a flow of inspection support processing in the data collection device.

FIG. 11 is a diagram for explaining a method of checking a device to be inspected by using a barcode.

FIG. 12 is a diagram for explaining a method of confirming an inspection target device using a magnetic memory.

FIG. 13 is a diagram showing a recording format as an example of a vibration detection signal on a magnetic tape.

FIG. 14 is a diagram showing a recording format in an example in which a vibration detection signal, inspection information (inspection date, inspection point, inspection item, etc.) and process data are collectively recorded on a magnetic tape.

FIG. 15 is a diagram for explaining a situation in which the data collection device changes the inspection target pump in the inspection order.

[Explanation of symbols]

1 ... Computer, 2 ... Input / output unit, 3 ... Abnormality determination unit, 4
... abnormality level setting unit, 5 ... scheduling unit, 6 ... selection unit, 7,14 ... interface unit, 8 ... inspection planning unit, 9 ... online processing unit, 10 ... offline processing unit, 11 ... diagnosis processing unit, 12,21 ... CPU, 13 ... Data collection device, 15 ... Memory, 16 ... Inspection support unit, 17
... control unit, 18 ... recording unit, 19 ... various sensors, 20 ... display unit

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁵ Identification code Internal reference number FI Technical display location G21C 17/003 17/00 H02P 5/00 T 7315-5H (72) Inventor Hiroyuki Katsura Tsuchiura, Ibaraki Prefecture 603 Kamidate-cho, Shizuoka, Hitachi, Ltd. Tsuchiura factory

Claims (10)

[Claims] 1. A large number of rotating devices in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the abnormality occurs and the degree of abnormality from the abnormality determination unit and the weight of each rotating device. According to the necessity, at least an inspection planning unit that automatically sets an inspection schedule after setting an optimal inspection schedule for each rotating device is provided, while a data collection device is selected by the above data management device. The inspection support information display unit that displays the inspection support information about the rotating equipment that can be changed in inspection order, and the process data and vibration data collected from each rotating equipment that is the inspection target Is temporarily stored digitally, and at least a collected data storage / transfer unit for periodically transferring data to the data management device in response to a transfer request from the data management device is provided. 2. A large number of rotating equipment in a plant, etc., in the state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. Based on the database, the data from the inspection information database, the process data and the vibration data from each rotating device, the abnormality degree of the rotating device as a whole is assigned to each of the abnormality determination items in advance as an abnormality determination criterion. An abnormality determination unit that comprehensively determines that the level corresponds to one of a plurality of levels, Depending on the degree of abnormality from the regular judgment unit and the importance of each rotating device, after setting an optimal inspection schedule for each rotating device, at least an inspection planning unit that automatically creates an inspection plan is provided, The data collection device includes an inspection support information display section for displaying inspection support information about the rotating device, which is changeable in inspection order, for each rotating device as an inspection target selected by the data management device, and an inspection target. A process data and vibration data collected from each rotating device are digitally temporarily stored, and a collected data storage / transfer unit that periodically transfers to the data management device based on a transfer request from the data management device. A rotating device abnormality diagnosis device which is provided at least. 3. A large number of rotating devices in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. Based on the database, the data from the inspection information database, the process data and the vibration data from each rotating device, the abnormality degree of the rotating device as a whole is assigned to each of the abnormality determination items in advance as an abnormality determination criterion. As a simple average of levels, or after weighting each of a plurality of abnormality determination items according to their importance, An abnormality determination unit that comprehensively determines as one of a plurality of level stages as a weighted average of abnormality determination reference levels that are assigned in advance to each abnormality determination item, and an abnormality degree from the abnormality determination unit and a rotating device. At least an inspection planning unit for automatically creating an inspection plan after setting an optimal inspection schedule for each rotating device according to the degree of importance of the rotating device is provided with the data management device described above. The inspection order can be changed for each rotating device selected as the inspection target, and an inspection support information display section that displays inspection support information about the rotating device and process data collected from each rotating device that is the inspection target and The vibration data is temporarily stored digitally and periodically transferred to the data management device based on a transfer request from the data management device. Collected data storage and transfer unit is formed by at least provided rotary apparatus abnormality diagnosis device for. 4. A large number of rotating equipment in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the abnormality occurs and the degree of abnormality from the abnormality determination unit and the weight of each rotating device. According to the necessity, an optimum inspection schedule for each rotating device is set so that the inspection period interval becomes smaller as the degree of abnormality increases, and at least an inspection planning unit for automatically creating an inspection plan is provided. On the other hand, the data collection device has an inspection support information display section that displays inspection support information about the rotating device, which is changeable in inspection order, for each rotating device selected as an inspection target by the data management device, and an inspection Process data and vibration data collected from each target rotating device are digitally temporarily stored, and the collected data is stored and transferred periodically to the data management device based on a transfer request from the data management device. And a rotating device abnormality diagnosis apparatus including at least a section. 5. A large number of rotating devices in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the abnormality occurs and the degree of abnormality from the abnormality determination unit and the weight of each rotating device. In order to automatically select the rotating equipment to be inspected at each inspection, set the optimal inspection schedule for each rotating equipment according to the necessity so that the inspection interval becomes smaller as the degree of abnormality increases. At least an inspection planning unit that automatically creates an inspection plan is provided, while the data collection device allows the inspection order of each rotating device to be inspected selected by the data management device to be changed. The inspection support information display section that displays the inspection support information, and the process data and vibration data collected from each rotating equipment to be inspected are digitally temporarily stored, and the transfer request from the data management device is sent. A rotating equipment abnormality diagnosis apparatus, which is provided with at least a collected data storage / transfer unit which is regularly transferred to the data management apparatus. 6. A large number of rotating equipment in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the abnormality occurs and the degree of abnormality from the abnormality determination unit and the weight of each rotating device. According to the necessity, at least an inspection planning unit that automatically sets an inspection schedule after setting an optimal inspection schedule for each rotating device is provided, while a data collection device is selected by the above data management device. The inspection support information display unit that displays the inspection support information about the rotating equipment that can be changed in inspection order, and the process data and vibration data collected from each rotating equipment that is the inspection target Is temporarily stored digitally, and a collected data storage / transfer unit that periodically transfers the data to the data management device based on a transfer request from the data management device, and a magnetic device attached to each measurement site of the rotating device. While reading the rotating device identification / inspection history information and confirmation information from the memory, the measurement results, inspection troubles, and notices in the magnetic memory A magnetic recording and reproducing unit for storing the matters, which are at least provided rotary apparatus abnormality diagnosis device. 7. A large number of rotating devices in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the abnormality occurs and the degree of abnormality from the abnormality determination unit and the weight of each rotating device. According to the necessity, at least an inspection planning unit that automatically sets an inspection schedule after setting an optimal inspection schedule for each rotating device is provided, while a data collection device is selected by the above data management device. The inspection support information display unit that displays the inspection support information about the rotating equipment that can be changed in inspection order, and the process data and vibration data collected from each rotating equipment that is the inspection target Is temporarily stored digitally, and a bar is attached to each of the measurement parts of the rotating equipment, and a collected data storage / transfer unit that periodically transfers the data to the data management device based on a transfer request from the data management device. A rotating device different in that at least a bar code reading unit for reading the rotating device identification information confirmation information from the code is provided. Diagnostic equipment. 8. A large number of rotating equipment in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the abnormality occurs and the degree of abnormality from the abnormality determination unit and the weight of each rotating device. According to the necessity, at least an inspection planning unit that automatically sets an inspection schedule after setting an optimal inspection schedule for each rotating device is provided, while a data collection device is selected by the above data management device. The inspection support information display unit that displays the inspection support information about the rotating equipment that can be changed in inspection order, and the process data and vibration data collected from each rotating equipment that is the inspection target The rotating device is provided with at least a collection data storing / transferring unit for digitally temporarily storing the inspection data together with the inspection information as a pair, and periodically transferring the data to the data management device based on a transfer request from the data management device. Abnormality diagnosis device. 9. A large number of rotating equipment in a plant or the like in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the abnormality occurs and the degree of abnormality from the abnormality determination unit and the weight of each rotating device. According to the necessity, at least an inspection planning unit that automatically sets an inspection schedule after setting an optimal inspection schedule for each rotating device is provided, while a data collection device is selected by the above data management device. The inspection order can be changed for each rotating device as an inspection target, the inspection support information display section that displays inspection support information about the rotating device, and the vibration data collected from each rotating device as an inspection target are amplified. Rate part, calibration voltage part,
As a recording format consisting of a signal section, an end section and a non-recording section, process data collected from each rotating device is also digitally temporarily stored as a pair with inspection information, and a transfer request from the data management device is made. An apparatus for diagnosing abnormalities in rotating equipment, comprising at least a collected data storage / transfer section for periodically transferring the data to the data management apparatus based on the above. 10. A large number of rotating equipment in a plant, etc., in a state where a data management device equipped with a computer and managing data and a data collection device equipped with a computer and collecting data are connected via communication means. It is an offline type rotating equipment abnormality diagnosis device that regularly performs each health diagnosis, and the data management device stores inspection information that stores at least the inspection schedule, inspection points, past inspection history of each rotating equipment. From the database, the data from the inspection information database, and the process data and vibration data from each rotating machine, the overall degree of abnormality of the rotating machine corresponds to one of a plurality of levels from a plurality of abnormality determination items. Abnormality determination unit that comprehensively determines that the It has at least an inspection planning unit that sets an optimal inspection schedule for each rotating device according to the degree of importance and automatically creates an inspection plan, while a data collection device is selected by the above data management device. The inspection device can change the inspection order of each rotating device as an inspection target, and a display unit that displays inspection support information about the rotating device and necessary items for each process, and a storage unit that stores the necessary items for each process. , A keyboard for inputting necessary items for each processing, and process data and vibration data collected from each rotating equipment to be inspected are digitally temporarily stored, and then a transfer request is sent from the data management device. A rotating equipment abnormality diagnosis apparatus, which is provided with at least a collected data storage / transfer unit which is regularly transferred to the data management apparatus.