JP2008063954A - Abnormality diagnostic method of drainage pump and its device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an abnormality diagnostic method of a drainage pump and its device, without requiring much labor, by properly, easily and visually confirming a secular change in performance reduction and a changing tendency of a determining value of a management object by abrasion of a part of the drainage pump, without requiring to artificially and finely manage a judging criterion value adapted with respective machine places, even in a state of being different in an operation condition with respective machine places. <P>SOLUTION: Abnormality is properly diagnosed by comparing the judging criterion value properly automatically updated to a judging criterion value calculated by statistical processing, with a determining value of a determining object, by using accumulation data stored and accumulated by being arithmetically processed by using water level change time and a planned delivery quantity of the drainage pumps P1 and P2, by using a control device 3 having the functions such as preservation and arithmetic processing of data measured with every unit time and starting-stopping control of the drainage pumps P1 and P2, based on signals of a water tank 1 capable of arithmetically operating the volume from a water level variation, one or a plurality of drainage pumps P1 and P2 and a water level sensor 2 detecting a water level. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a drainage pump abnormality diagnosis method and apparatus for accurately predicting abnormality diagnosis of drainage pumps such as drainage facilities in underground passages and drainage facilities in rainwater control ponds.

  A plurality of water level detection sensors are installed in the water tank without using a measuring device such as a flow meter, and the control device receives signals detected by the water level detection sensors for fluctuations in the water level in the water tank. A method and an apparatus (for example, refer to Patent Document 1) that control pump start / stop and calculate and predict a pump discharge flow rate based on a preset set value and mathematical formula based on the received signal are well known. . Then, the calculation accuracy is improved by improving the reliability of the calculated value by calculating based on the signal of the latest water level fluctuation, thereby improving the detection accuracy of problems such as pump blockage, air lock, and abnormal inflow of drainage. However, drainage pumps such as drainage facilities in underground passages and drainage facilities in rainwater control ponds usually have different operating conditions depending on the individual machines, such as pump performance and type, number of operations, inflow, and pump operation time. In the case of water level fluctuations in the tank most recently (previous and current), even if the current discharge flow rate of the pump with high accuracy can be obtained without using a measuring device such as a flow meter, It was not possible to grasp how the change in the discharge flow rate value of the pump obtained by the above has an influence on the machine.

Specifically, for example, whether the reduced discharge flow rate value of the pump is too large or too small for the machine or the installed pump, or is the performance deterioration due to aging of the pump, etc. Judgment is impossible, and it is not possible to accurately grasp whether the change is abnormal or not with respect to the driving situation. In addition, since it was not possible to easily understand the secular change in performance degradation due to wear of pump parts, etc., in order to compensate for it, maintenance management could not be performed at the appropriate time according to individual machine conditions. The maintenance cycle must be shortened to increase the number of inspections, and daily data must be artificially recorded, graphed, and listed in order to understand secular changes. There is a problem that it cannot be dealt with without a great deal of effort.
Japanese Patent Laid-Open No. 2001-4415 (page 2-4, FIG. 1-3)

  The problem to be solved is that for drainage pumps such as drainage facilities in underground passages and drainage facilities in rainwater control ponds, the operating conditions differ depending on the individual machine site, such as pump performance and type, number of operations, inflow volume, pump operation time, etc. Even in the state, it is not necessary to artificially manage the judgment standard value suitable for each machine site, and the deterioration of performance due to wear of the pump parts of the drainage pump etc. and the judgment value of the management target It is an object of the present invention to provide a drainage pump abnormality diagnosis method and apparatus capable of visually confirming a change tendency appropriately and easily and without requiring much labor.

  In the drainage pump abnormality diagnosis method of the present invention, a water tank capable of calculating a volume from a water level change amount, one or a plurality of drainage pumps, a water level sensor for detecting the water level in the water tank, and a received signal from the water level sensor A drainage pump abnormality diagnosis method using a control device having functions such as storage and calculation processing of data measured per unit time based on the above and control of the drain pump on / off, and calculating from the water level change amount Statistical processing using accumulated data that is calculated and stored according to a predetermined mathematical formula using the volume level and the water level change time based on the detection signal from the water level sensor and the planned discharge amount of the drainage pump. The most important feature is that a diagnosis is appropriately diagnosed by comparing the reference value for determination automatically updated as appropriate with the calculated reference value for determination and the determination value to be determined.

  Further, in the drainage pump abnormality diagnosis device of the present invention, using the abnormality diagnosis method, a water tank capable of calculating the volume from the water level change amount, one or a plurality of drainage pumps, and a water level for detecting the water level in the water tank An abnormality diagnosis of a drainage pump comprising a sensor and a control device having functions such as storage and arithmetic processing of data measured every unit time based on a received signal from the water level sensor and start / stop control of the drainage pump An apparatus that uses a volume calculated from the water level change amount, a water level change time based on a detection signal from the water level sensor, and a planned discharge amount of the drainage pump, and is processed and stored according to a predetermined mathematical formula. It is possible to properly update to the judgment reference value calculated by statistical processing using the accumulated data and compare the judgment reference value with the judgment target judgment value. The most important feature that was configured.

  According to the drainage pump abnormality diagnosis method and apparatus of the present invention, the detection signal from the volume or water level sensor calculated from the amount of change in the water level in the water tank in the machine field, even when the operating conditions differ depending on the machine field. The water level change time based on the flow rate and the planned discharge amount of the drainage pump are automatically and appropriately automatically set to the reference value of the determination calculated by the statistical process using the accumulated data that is processed and stored according to the mathematical formula set in advance. Since it is updated, the longer the period of use of the machine and the larger the amount of accumulated data stored and stored, the more automatically the automatic determination without any effort to the reliable and authentic reference value that is optimal for the machine. Therefore, it is possible to make a highly reliable diagnosis that enables an early grasp of a failure state including a sign of a failure. In addition, the accumulated data corresponding to the specified period is processed and graphed and listed in a time series for each specified interval, so the deterioration of performance due to wear of pump parts of the drainage pump and the judgment value of the management target Therefore, it is possible to appropriately and easily visually recognize the change tendency, and it is possible to avoid a shortage situation in advance and to perform efficient maintenance without waste.

  Measured per unit time based on a water tank that can calculate the volume from the amount of change in water level, one or more drain pumps, a water level sensor that detects the water level in the water tank, and a signal received from the water level sensor In a drainage pump abnormality diagnosis method and apparatus using a control device having functions such as data storage and calculation processing and on / off control of the drainage pump, the volume calculated from the water level change amount and the water level sensor Using the water level change time based on the detection signal and the planned discharge amount of the drainage pump, the reference value of the judgment calculated by statistical processing using the accumulated data calculated and stored according to a preset mathematical formula Appropriate by comparing the correction reference value of the determination and the determination value of the determination target automatically provided as appropriate by providing a setting function of the allowable range setting value of the determination accuracy adjustment to correct the accuracy. To diagnose. In addition, a specified period is set based on the accumulated data, and the accumulated data corresponding to the specified period is processed in a time series for each specified interval, and is graphed and listed. The tendency for the performance of the drainage pump to decline can be visually recognized appropriately and easily. Furthermore, an average value of the accumulated data corresponding to the specified period is calculated, a value obtained by correcting the average value with an allowable setting value is used as a reference value, and the accumulated data corresponding to the specified period is calculated at a specified interval. By performing time-series processing and graphing and listing, it is possible to appropriately and easily visually recognize the change tendency of the determination value of the management target with respect to the passage of the specified interval.

FIG. 1 is a block diagram showing the configuration of the apparatus of the present invention. Reference numeral 1 denotes a water tank having a meterability capable of storing inflow water and calculating a volume from a water level change amount, for draining the stored water in the water tank 1. Drain pumps P1 and P2 are provided, and a water level sensor 2 for detecting a change in the water level is provided in the water tank 1, and data measured per unit time based on a water level change signal transmitted from the water level sensor 2 is stored. And a control device 3 having functions such as arithmetic processing and start / stop control of the drainage pumps P1 and P2 are provided, and on-site conditions are monitored based on information processed by the control device 3, for example, a plurality of machines And a central management device (not shown) that collectively manages the monitoring device 4 for transmitting and receiving information. In the present embodiment, the control device 3 and the monitoring device 4 are configured separately, but may be configured as an integrated unit. In addition _{, the} central monitoring device (not shown) collects accumulated data from each machine, stores the accumulated data for a long period of time, graphs and lists data by time series processing, and calculates a criterion value by statistical processing of the data The processing result may be provided as a determination reference value.

  With reference to FIG. 1 thru | or FIG. 3, the operation | movement of drainage pumps P1 and P2 with respect to the water level change in the water tank 1 in the said structure of this invention, and the data calculated and calculated are demonstrated.

  FIG. 2 is a diagram showing the operation of the drainage pumps P1 and P2, and FIG. 3 is a diagram for explaining the measurement and calculation accompanying the operation of the drainage pumps P1 and P2, and the water level in the tank 1 in the initial state is When the drainage pumps P1 and P2 start to flow into the water tank 1 from the stopped state in the state below the pump stop water level Hs, the water level in the water tank 1 gradually rises because the drainage pumps P1 and P2 are stopped. When the pump stop water level Hs is reached, the water level sensor 2 immediately detects this, and a signal for reaching the Hs water level is transmitted to the control device 3. The control device 3 receives the Hs water level arrival signal, and determines the Hs water level arrival time T0. By storing, a series of processes in the previous cycle is completed, and a series of processes in the current cycle is started. And since the stop state of the drain pumps P1 and P2 is maintained, the water level in the water tank 1 further rises as the inflow into the water tank 1 continues, and when the water level sensor 2 eventually reaches the pump operating water level Hd, the water level sensor 2 Is immediately detected and a signal for reaching the Hd water level is transmitted to the control device 3. The control device 3 receives the Hd arrival signal and drives either the drainage pump P1 or P2 and stores the Hd water level arrival time T1. Then, the time Ti {T1−T0} required for the water level rise from Hs to Hd is calculated, and the measured volume V obtained by multiplying the preset cross-sectional area Am in the water tank 1 by the water level difference between Hd and Hs, for example. Based on {Hd−HS) × Am}, the inflow amount Qin per unit time into the water tank 1 is calculated by the following formula 1 and stored.

  Then, it is determined whether or not the inflow amount Qin per unit time into the water tank 1 calculated from the above formula 1 is normal with respect to the planned discharge amount Qp of the drainage pump P1 or P2 that is currently driven. The inflow determination value Q for this is calculated and stored according to Equation 2 below.

  Furthermore, since the inflow into the water tank 1 and the operation of the drainage pump P1 or P2 are continued, when the calculated inflow amount Qin is normal, the water level once exceeding the pump operation water level Hd gradually decreases, When the water level sensor 2 soon falls below the pump operating water level Hd, the control device 3 recognizes that the water level has fallen below the Hd water level, stores the time T2 when the water level has dropped below the Hd water level, and has exceeded the Hd water level. The time Tx {T2-T1} required to fall below the Hd water level is calculated and stored.

  And since the operation | movement of either drainage pump P1, P2 currently driven is continued irrespective of the presence or absence of inflow into the water tank 1, the water level in the water tank 1 falls further, and a pump stop water level will eventually be reached. When the water level sensor 2 falls below Hs, the water level sensor 2 immediately detects that, and the control device 3 recognizes that the water level has fallen below the Hs water level, and stops the operation of any of the drain pumps P1 and P2 that are currently driven, The time T3 when the Hs water level was lowered is stored, the time To1 {T3-T2} required to fall below the Hs water level after falling below the Hd water level, and the time To2 {T3- T1} is calculated and stored, and a series of measurement and calculation processes for the current operation status of the drainage pump P1 or P2 is completed, and the next process is awaited. The measurement and calculation of the paragraph number 0011 and the operation control of the drainage pumps P1 and P2 are repeated, and the calculated values Q, Tx, To1, and To2 are accumulated and stored as data. Based on the above, it is automatically updated appropriately to a reference value for determination calculated by statistical processing described later, and a proper diagnosis is made by comparing the reference value for determination with the determination value to be determined.

  Next, referring to FIG. 4 and the diagnosis classification shown in Table 1 below, the operation status of the drainage pumps P1, P2 having the above-described configuration of the present invention, the water level fluctuation in the water tank 1, and the time required for them, etc. The diagnosis classification of the device of the present invention set in advance for the operating status will be described.

  FIG. 4 is a diagram showing each operation situation assumed in advance for diagnosis of the apparatus of the present invention, and Table 1 is a classification table for explaining the diagnosis situation for each operation situation shown in FIG. In H, even if the water level reaches the pump operation water level Hd and either the drainage pump P1 or P2 is driven, the inflow amount Qin per unit time calculated by the equation 1 is greater than the pump planned discharge amount Qp corresponding to the drainage. For example, an abnormal inflow is determined from the monitoring device 4 shown in FIG. 1 to the central management device (not shown), and the abnormal inflow is stored, and the subsequent diagnostic processing is performed. Continue. Next, in case E, the normal inflow is judged that the inflow amount Qin is less than the planned discharge amount Qp corresponding to the drainage, but there is a problem in either or both of the pump corresponding to the drainage or the control panel. The pump operation is determined to be abnormal because of the possibility of the occurrence of the device trouble. For example, the monitoring device 4 shown in FIG. 1 reports the occurrence of the device trouble to the central management device (not shown) and The occurrence is memorized, the diagnosis for the current operation status is terminated, and the diagnosis is waited until the next operation.

  Next, in the present invention, in order to make a detailed determination on the occurrence of air lock (hereinafter referred to as AR), by setting a limit value shown in FIG. Abnormal inflow, occlusion, and diagnosis of AR will be described in order with respect to case A to case D, case F, and case G.

  In case A, the inflow amount Qin per unit time calculated by the formula 1 is equal to or less than the pump planned discharge amount Qp corresponding to the drainage, that is, the drainage drainage pump is driven when the inflow determination of the inflow determination value Q ≦ 1 is normal. Therefore, the operation judgment is also normal, and since the time Tx (AR judgment I judgment value) from exceeding the Hd water level to below it is within the reference value of the AR judgment, the AR judgment is also normal and after the Hd water level falls below Blockage judgment value obtained by dividing the wastewater treatment capacity amount Qout (V / To1) per unit time of the metered volume V drained in the time To1 until the Hs water level falls below the planned discharge amount Qp of the pump of the drainage pump in operation. Since Qo is equal to or higher than the reference value for the blockage determination, the blockage determination is also normal, and since all the determinations are normal, it is diagnosed that the pump is operating normally.

  In case B, the inflow determination, the pump operation determination, and the AR determination are in a normal state, but the occlusion determination with the occlusion determination value Qo equal to or less than the reference value for the occlusion determination is abnormal, and a diagnosis of occurrence of an obstruction is confirmed It is a state to be done. In case C, the inflow determination, pump operation determination and blockage determination are normal, but the time Tx (AR determination I determination value) from exceeding the Hd water level to falling below the AR determination reference value is limited. This is a state in which it is diagnosed that a sign of the occurrence of AR has been confirmed because of an abnormality in AR determination that does not exceed the value.

  In Case D, the inflow determination and the pump operation determination are in a normal state, but the AR determination abnormality and the blockage determination that do not exceed the same limit values as described above are abnormal, so that it is diagnosed that the AR and the sign of the occurrence of the blockage have been confirmed. State.

  In Case F, the inflow determination of the inflow determination value Q ≦ 1 is normal when the Hd water level is reached, but a large amount of inflow exceeding the planned discharge amount Qp of the drainage pump during the subsequent operation of the drainage pump ( Due to pump operation water level judgment: abnormal), the water level reaches the two-unit operation water level Hw and the subsequent drainage pump P1 or P2 follows in addition to the first-stage drainage pump, and the water level that once exceeded the two-unit operation water level Hw gradually decreases However, since it is below the operating water level Hw of the two units and drops to the Hd water level exceeding the limit value, it is determined that the AR determination abnormality exceeding the limit value is not a precursor to the occurrence of AR, and after the Hd water level is reached It is in a state where it is diagnosed that there is a large amount of inflow exceeding the planned discharge amount Qp of the first drainage pump.

  In Case G, the inflow determination is normal, but an AR occurs when the first drainage pump that reaches the Hd water level is operated, and the discharge capacity of the drainage pump is reduced to balance with the planned discharge amount Qp of the pump, so that the Hd water level falls within the limit value. Since it cannot fall below, it is a state in which it is diagnosed that AR has occurred as an abnormality in AR determination exceeding the limit value.

  Next, referring to a flowchart showing the processing procedure of FIGS. 5 to 9 and a diagram for explaining the statistical processing of FIGS. 10 to 20, the procedure of the diagnostic processing of the present invention is a flowchart of FIGS. This will be specifically described in the order of ST (step number) written on the left side of the process symbol.

  FIG. 5 is a flowchart showing the entire diagnosis process of the present invention. In ST1, sewage flows into the water tank 1, the water level rises, and the water level sensor 2 detects the arrival of the pump stop water level Hs. After that, the sewage flows and the water level further rises. In ST2, the water level sensor 2 detects the arrival of the pump operation water level Hd, and the time T1 is recorded. In ST3, the pump operation water level Hs to the pump operation water level Hd are recorded. The time Ti required to fill between the water levels is calculated as the difference Ti = T1−T0 between the time T1 and the time T0 of the recording, and the water levels of the above Hd and Hs are set to a preset cross-sectional area Am in the water tank 1, for example. Based on the measured volume V {(Hd−HS) × Am} multiplied by the difference, the inflow amount Qin per unit time into the water tank 1 is calculated by the above equation 1 and the recorded inflow amount Qin is drained. The inflow decision value Q obtained by dividing the planned discharge amount Qp of the pump of the drain pump is calculated and stored by the equation 2.

In ST4, the inflow determination value Q calculated in ST3 is recorded in a memory, added to the data ΣQ accumulated every time the vehicle is operated, and the re-average value (QSave = Qstd) is calculated. The calculation method of the re-average value (QSSave = Qstd) of the inflow amount by the statistical processing in “Calculation 4” based on FIGS. 6 and 10 will be described in detail. In ST4-1, the inflow calculated in ST3 is described. The determination value Q is recorded in the memory and added to the accumulated data ΣQ. In ST4-2 and ST4-3, the average value Qave of the inflow amount in the accumulated data ΣQ corresponding to the predetermined period specified based on the accumulated data ΣQ. And the standard deviation value σQ of the inflow rate is calculated, and the adopted data range is determined in ST4-4 as shown in FIG. In order to improve reliability, the upper limit value {Qup = Qave + σQ × 2} and the lower limit value of the data range adopted as the exclusion of the singular data part such as the manual operation of the water level sensor by inspection Qdw = Qave−σQ × 2} is determined to determine the adopted data range, and in ST4-5, the re-average value QSave of the re-accumulated data ΣQS corresponding to the adopted data range is calculated again. The re-average value QSave is set to “calculation 1323” in ST13 or ST23 of AR determination II described later.
In addition, the block is recorded in the memory for the calculation process of ST15 or ST27 “Calculation 1527”.

  Returning to FIG. 5, in ST5, as the determination of the inflow amount, the inflow determination value Q calculated from the equation 2 in ST3 is 1 or less, that is, the equation 1 with respect to the planned discharge amount Qp of the drainage drainage pump. When it is determined whether the inflow amount Qin calculated by the above is lower or lower (YES), it is determined normal and the process proceeds to ST6 of normal processing, and is determined to be higher (NO) It is determined that there has been an inflow amount exceeding the pump planned discharge amount Qp, and in the abnormal processing ST18 to ST19 described later, the “abnormal inflow warning” state of case H shown in FIG. 4 and Table 1 is diagnosed. The results are processed from the monitoring device 4 shown in FIG. 1 to the central management device (not shown) and recorded, and the process returns to the normal processing of ST6.

  In ST6, since the water level has already reached the pump operation water level Hd in ST2 as a pump operation determination of the previous drainage pump, it is determined whether or not the previous drainage pump is operating (YES). If it is determined that it is normal, the process proceeds to ST7 of normal processing, and if it is determined that it is not operating (NO), trouble has occurred in either or both of the drainage pump and the control panel. It is determined that there is a possibility, and the “equipment trouble” state of case E shown in FIG. 4 and Table 1 is diagnosed. For example, the result is reported from the monitoring device 4 shown in FIG. 1 to the central management device (not shown). Processing such as recording is completed, the diagnosis for the current operation status is terminated, and the diagnosis is waited until the next operation.

  In ST7, in order to individually manage a plurality of used pumps, the currently operated drainage pump is recognized and recorded, and the water level sensor 2 recorded in ST2 detects the arrival time T1 of the pump operating water level Hd when the pump is activated. 3, the time Tx = T2−T1 required to fall from reaching the pumping water level Hd as shown in FIG. 3 based on the detection time T2 when the pumping water level Hd has fallen below the pumping water level Hd shown in FIG. Is calculated as a determination value Tx of AR determination I used for determination of a sign of the occurrence of the current AR, and ST10, which will be described later, is used as a reference value for determination of the determination value Tx of AR determination I in the previous or previous operation. The re-average value TxSave calculated (ST10-5) and recorded (ST10-6) in "Calculation 10" is called as a reference value for AR determination I. In ST9, FIG. As shown in the figure, it is determined whether or not the calculated AR determination I determination value Tx is within the time of the AR determination I reference value. If it is determined that the AR determination I reference value is within the time (YES), it is normal. The process proceeds to ST10 “Calculation 10” of normal processing, and if it is determined that the time of the reference value of AR determination I is exceeded (NO), it is determined that there is a suspicion of the occurrence of AR, and ST20 described later. Proceed to the process.

  In ST10, the determination value Tx of AR determination I calculated in ST7 is recorded in a memory, added to the data ΣTx accumulated every time the vehicle is operated, and re-averaged value TxSave (AR determination) by statistical processing in “Calculation 10”. I reference value) is calculated. A method for calculating the reference value TxSave of the AR determination I by the above statistical processing in “Calculation 10” based on FIGS. 7 and 11 will be described in detail below. In ST10-1, the AR determination I calculated in ST7 is described. Is recorded in the memory and added to the accumulated data ΣTx. In ST10-2 and ST10-3, the average of the AR determinations I in the accumulated data ΣTx corresponding to the predetermined period specified based on the accumulated data ΣTx In order to determine the adopted data range in ST10-4 as shown in FIG. 11 by calculating the value Txave and the standard deviation value σTx of the AR determination I, the calculation of the average value Txave and the standard deviation value σTx of the AR determination I calculated above is performed. In order to improve reliability based on the value, it is desirable that when AR occurs, the determination value Tx of AR determination I tends to increase. In order to avoid including a large value with specificity, first, an upper limit value {Txup = Txave + σTx × 2} of the adopted data range is obtained as exclusion of the unique data portion, and data exceeding the upper limit value Txup is obtained. In step ST10-5, the re-averaged value TxSave of the re-accumulated data ΣTxS corresponding to the adopted data range is calculated again. In ST10-6, the re-averaged value TxSave is calculated next time or that time. Recorded in the memory for use as a reference value for AR determination I in ST8 thereafter.

  Returning to FIG. 5, in ST11, as shown in FIG. 1 and FIG. 3, since the drainage pump corresponding to the drainage is operating normally under the normal inflow state into the water tank 1, the water level sensor 2 sets the pump operating water level Hd. It is detected that the lower pump stop water level Hs has been lowered, and the time T3 is recorded. Based on the detected time T3 and the detected time T2 which has fallen below the pump operation water level Hd shown in FIG. 3, the pump operation is performed as shown in FIG. A time To1 = T3-T2 required from the time when the water level falls below the water level Hd to the time when the pump stop water level Hs falls below is calculated, and the calculated value To1 is recorded in the memory to be used for calculating the blockage determination value in ST14 or ST26 described later. In ST12, if it is determined in ST9 that there is a suspicion of AR occurrence with the AR determination I reference value Tx> AR determination I reference value, the occurrence state is slight and the indication In order to determine in more detail whether or not AR has occurred, a time To2 required from exceeding the pump operating water level Hd to below the pump stop water level Hs is recorded at the time T1 recorded at ST2 and the time T3. The time difference To2 = T3−T1 is calculated based on the above and divided by the time of the determination value Tx of the AR determination I calculated in ST9, thereby determining the AR determination I with respect to the time the pump is operating. The ratio of the time of the value Tx is calculated as the determination value Tx2 = Tx / To2 of the AR determination II.

  In ST13, the determination value Tx2 of AR determination II calculated in ST12 is recorded in the memory and added to the data ΣTx2 accumulated every time the vehicle is operated as shown in FIG. Based on the re-average value Tx2Save calculated in step ST4 and the re-average value QSave calculated and recorded in ST4 “Calculation 4”, the AR determination II reference value Tx2std is calculated and stored as shown in FIG. The calculation method of the reference value Tx2std of AR determination II related to “Calculation 1323” will be described in detail based on FIG. 8 and FIGS. 12 to 14. In ST1323-1, the determination Tx2 of AR determination II calculated in ST12 is set. Recorded in memory, added to accumulated data ΣTx2, and in ST1323-2 and ST1323-3, average value Tx2ave and standard deviation of AR determination II in accumulated data ΣTx2 within a predetermined period specified based on accumulated data ΣTx2 Since the value σTx2 is calculated and the adopted data range is determined in ST1323-4 as shown in FIG. 12, the reliability is improved based on the calculated AR determination II average value Tx2ave and standard deviation value σTx2 Therefore, it is desirable that when AR occurs, the determination value Tx of AR determination I tends to increase. Since the fixed value Tx2 also tends to be large, in order to avoid including a large value with specificity when the adopted data range is obtained, first, the upper limit value of the adopted data range {Tx2up = Tx2ave + σTx2 X2} is determined to exclude the data exceeding the upper limit value Tx2up and the adopted data range is determined. In ST1323-5, the re-averaged value Tx2Save of the re-accumulated data ΣTx2S that falls within the adopted data range is calculated again. In ST1323-6, the re-average value Tx2Save is recorded in a memory to be used for creating “normal reference line for AR determination II: Y = aX + b” by linear regression in ST1323-8 described later.

  In ST1323-7, the re-average value QSave of the inflow determination calculated and recorded in ST4 “Calculation 4” is called, and the re-average value Tx2Save calculated in ST1323-5 is called in ST1323-7. In ST1323-8, the re-average value QSave is set to X = QSSave and Y = Tx2Save in ST1323-8, and both the straight line slope a obtained from Equation 3 and the straight line intercept b obtained from Equation 4 are calculated. The linear regression equation of Equation 5 below is calculated as “AR determination II normal value reference line: Y = aX + b” shown in FIG. 13, and in ST1323-9, the AR determination II normal value reference line is used as a reference. The upper and lower limit AR judgment II normal ranges are defined, and the distribution density of the data scattered on the graph around the AR judgment II normal value reference line is high. A straight line that passes through one of the lower limits and is parallel to the normal value reference line of AR determination II is obtained, and the parallel line is inverted and transferred around the normal value reference line of AR determination II. The upper and lower limits of the normal range can be obtained and the reverse transfer line can be used as the reference line for AR determination II. However, when AR occurs, the determination value Tx2 for AR determination II increases because the determination value Tx for AR determination I increases. Therefore, in order to increase the reliability of the normal range of the AR determination II, preferably, a lower limit parallel line passing through a lower limit value having a high distribution density of data distributed in the graph is defined as shown in FIG. The lower limit parallel line is reversed and transferred around the normal value reference line of judgment II to determine the normal range of the upper and lower limit AR judgment II, and the upper limit line of the reverse transferred normal range is defined as the AR judgment II reference line as follows: Calculation of reference value for AR judgment II shown in Formula 5 A regression linear equation.

  Furthermore, in ST1323-10, as shown in FIG. 14 so that the accuracy can be adjusted in consideration of the fact that the characteristics of each machine field are different, the upper limit line of the normal range obtained in ST1323-9 is the reference line of AR determination II. An allowance setting value for accuracy adjustment change is provided to enable change setting, and a correction reference line for AR determination II after accuracy adjustment by the change setting is obtained.

  In ST1323-11, calculation is performed in ST3, which is a value on the X axis based on the reference line for AR determination II in ST1323-9 shown in FIG. 13 or the correction reference line for AR determination II in ST1323-10 shown in FIG. The value Tx2std on the Y axis (Tx2′std after accuracy adjustment) corresponding to the inflow determination value Q (Qn in the examples of FIGS. 13 and 14) in the current operation is used as the reference value of the AR determination II used this time The information is obtained and stored, and a series of processing of the operation 1323 is terminated, and the process proceeds to ST14 or ST24 described later.

  Next, returning to FIG. 5, in ST14, the drainage pump corresponding to the drainage is operating normally under the inflow state into the tank shown in FIG. 1 and FIG. By calculating the amount of wastewater treatment capacity for lowering the water level difference (Hd−Hs) below the stop water level Hs, specifically, the water level difference (Hd−Hs) was multiplied by the cross-sectional area Am of the tank. Volume V = (Hd−Hs) × Amount of relative wastewater treatment capacity per unit time under the inflow condition into the tank divided by time To1 = T3−T2 calculated and recorded in ST11 required until there is no Am The ratio Qo between the calculated Qout and the planned discharge amount Qp of the installed pump is calculated as the blockage determination value Qo according to the following expression 7.

  In ST15, the blockage determination value Qo calculated in ST14 is recorded in the memory, added to the data ΣQo accumulated every time operation is performed as shown in FIG. 15, and calculated by the statistical processing of “Calculation 1527”. Based on the re-average value QoSave and the re-average value QSave calculated and recorded in ST4 “Calculation 4”, a reference value Qostd for blockage determination is calculated and stored as shown in FIG. The calculation method of the blockage determination reference value Qostd according to “Calculation 1527” will be described in detail with reference to FIGS. 9 and 15 to 17. In ST1527-1, the blockage determination value Qo calculated in ST14 is recorded in the memory. Then, in ST1527-2 and ST1527-3, the average value Qoave and standard deviation value σQo of the blockage determination in the corresponding accumulated data ΣQo within a predetermined period specified based on the accumulated data ΣQo are calculated in ST1527-2 and ST1527-3 Then, as shown in FIG. 15, in ST1527-4, the adopted data range is determined. Therefore, based on the calculated values of the blockage determination average value Qoave and standard deviation value σQo described above, blockage is desirably performed in order to improve reliability. When there is a possibility of occurrence, the blockage judgment value Qo tends to be small. In order not to include a small characteristic value, the lower limit value {Qodw = Qoave−σQo × 2} of the adopted data range is first obtained as exclusion of the singular data portion, and the data that falls below the lower limit value Qdw is excluded. In step ST1527-5, the re-averaged value QoSave of the re-accumulated data ΣQoS corresponding to the range of the adopted data is recalculated. In ST1527-6, the re-averaged value QoSave is calculated as a linear regression of ST1527-8 described later. Is recorded in the memory for use in creating the “closed normal value reference line: Y = aX + b”.

  In ST1527-7, the inflow determination re-average value QSave calculated and recorded in ST4 “Calculation 4” is called, and the re-average value QoSave calculated in ST1527-5 and called in ST1527-7 are called. In ST1527-8, the re-average value QSave is set to X = QSSave and Y = QoSave, and both the straight line slope a obtained from Equation 8 and the straight line intercept b obtained from Equation 9 are calculated. 16 is used to obtain a linear regression equation of the following Equation 10 as “obstruction normal value reference line: Y = aX + b” shown in FIG. 16, and in ST1527-9, the upper and lower limit values are calculated based on the obstruction normal value reference line. Define the normal range of occlusion judgment, and close it by passing either the upper or lower limit of the distribution density of the data distributed on the graph around the normal occlusion value reference line A straight line parallel to the normal occlusion value reference line is obtained, and the parallel line is inverted and transferred around the occlusion normal value reference line to obtain upper and lower limits of the normal range of occlusion determination shown in FIG. Although it can be set as a reference line, when the blockage occurs, the relative drainage treatment capacity amount Qout decreases, so the blockage determination value Qo also tends to decrease. Therefore, in order to increase the reliability of the normal range of the blockage determination, Preferably, an upper limit parallel line passing through an upper limit value having a high distribution density of data distributed in a graph as shown in FIG. 16 is determined, and the upper limit parallel line is inverted and transferred around the normal value reference line to determine the upper and lower limit blockage. And a regression line equation for calculating a reference value for blockage determination shown in the following formula 10 is obtained using the lower limit line of the normal range reversely transferred as a reference line for blockage determination.

  Further, in ST1527-10, the accuracy of the blockage determination reference line is set to the lower limit line of the normal range obtained in ST1527-9 as shown in FIG. An adjustment change allowable setting value is provided to enable change setting, and a correction reference line for blockage determination after accuracy adjustment by change setting is obtained.

  In ST1527-11, calculation is performed in ST3, which is a value on the X axis based on the reference line for blockage determination in ST1527-9 shown in FIG. 16 or the correction reference line for blockage determination in ST1527-10 shown in FIG. A value Qostd (Qo'std after accuracy adjustment) corresponding to the inflow determination value Q (Qn in the examples of FIGS. 16 and 17) in the current operation is obtained and stored as a reference value for the occlusion determination used this time. Then, a series of processing of the calculation 1527 is ended, and the process proceeds to ST16 or ST28 described later.

  Next, referring back to FIG. 5, in ST16, the blockage determination reference value Qostd (Qo'std after accuracy adjustment) calculated in ST15 is called from the data, and in ST17, the blockage determination value Qo calculated in ST14 is used as the blockage determination value. It is determined whether or not the determination reference value Qostd (Qo'std after accuracy adjustment) is exceeded. If it is determined that it exceeds (YES), it is determined that the pump has been operated normally, and FIG. The case A shown in FIG. 1 is diagnosed as a “normal” state. For example, the monitoring device 4 shown in FIG. 1 reports and records the result to the central management device (not shown), and the diagnosis processing for the current driving is performed. It is finished and waits for the next driving diagnosis process. Further, when it is determined that the blockage determination value Qo is lower than the blockage determination reference value Qostd (Qo'std after accuracy adjustment) (NO), it is determined that the precursor of the pump blockage has been confirmed, and 1 is diagnosed as the “blocking warning” state of the case B shown in FIG. 1, for example, the result is processed from the monitoring device 4 shown in FIG. 1 to the central management device (not shown), recorded, etc. The diagnosis process is completed, and the next operation diagnosis process is awaited.

  In ST18, as the determination of the inflow amount of ST5, the inflow determination value Q calculated from the equation 2 in ST3 exceeds 1, that is, the equation 1 with respect to the planned discharge amount Qp of the drainage pump corresponding to the drainage. When it is determined that the inflow amount Qin calculated by (NO) exceeds (NO), it is determined that there is an inflow amount exceeding the planned discharge amount Qp of the pump having an abnormal inflow amount, and the case H shown in FIG. In order to continue the subsequent diagnostic process by, for example, reporting and recording the result from the monitoring device 4 shown in FIG. 1 to the central management device (not shown). The process returns to the normal process of ST6.

  In ST20, if it is determined that the determination value Tx of the current AR determination I exceeds (NO) the reference value TxSave in the AR determination I of ST9, whether an AR has occurred or the pump is operating. Since the cause could not be specified because there was a large amount of inflow in the tank, the water level in the tank should not exceed the preset limit value as shown in FIG. If it is judged whether it is below the operating water level Hw of 2 units after being turned on (OFF), and below (YES) after exceeding the operating water level Hw of 2 units within the limit value It is determined that an AR has occurred or that there has been a large amount of abnormal inflow during operation of the pump, and a diagnosis of the “AR or abnormal inflow during operation” state of Case F shown in FIG. 4 and Table 1 is made. From the monitoring device 4 shown in FIG. After processing such as reporting and recording to a central management device (not shown), the diagnosis is interrupted and the system waits for the next operation. If it is determined that the operating water level Hw of the two vehicles does not exceed the limit value (NO), the process proceeds to ST21.

  In ST21, whether or not the two operating water levels Hw are not exceeded (ON) (not reached) and below the pump operating water level Hd (OFF) within the preset limit values shown in FIG. 4 in ST20. If it is determined that it does not exceed the operating water level Hw of the two units within the limit value and does not fall below the operating water level Hd of the pump (NO), whether AR has occurred or the pump discharge amount It is determined that the inflow amount is balanced or the state where the inflow amount is large continues, and the “AR occurrence” state of case G shown in FIG. 4 and Table 1 is diagnosed. For example, the result is obtained from the monitoring device 4 shown in FIG. After processing such as reporting and recording to a central management device (not shown), the diagnosis is interrupted and the system waits for the next operation. If it is determined that the pump operating water level Hd is below (YES), it is determined that the water level is difficult to decrease for some reason, and the process proceeds to ST22.

  In ST22, the same processing as ST12 of paragraph number 0033 is performed, a determination value Tx2 of AR determination II is calculated, and the process proceeds to ST23.

  In ST23, the same "calculation 1323" processing as in ST13 of paragraph numbers 0034 to 0040 is performed, and the reference value Tx2std of AR determination II is obtained and stored as the reference value of AR determination II used this time as shown in FIG. Then, the series of operations of the operation 1323 is terminated, and the process proceeds to ST24.

  In ST24, the AR determination II reference value Tx2std calculated in ST23 is called from the data, and the process proceeds to ST25.

  In ST25, it is determined whether or not the AR determination II determination value Tx2 calculated in ST22 is lower than the AR determination II reference value Tx2std calculated in ST23 and called in ST24. If it is determined to be lower (YES) If the phenomenon that seems to be AR has been confirmed, it is determined that it is not an AR problem, and the process proceeds to the blockage determination of ST14 in paragraph 0041. On the other hand, if it is determined that the value does not fall below (NO), it is determined that there is a possibility that an AR has occurred, but there is also a possibility that a blockage has occurred, and the process proceeds to blockage determination in ST26.

  In ST26, the same processing as ST14 of paragraph number 0041 is performed to calculate a blockage determination value Qo, and the process proceeds to ST27.

  In ST27, the same “calculation 1527” processing as ST15 of the paragraph numbers 0044 to 0050 is performed, and as shown in FIG. 16, the blockage determination reference value Costd is obtained and stored as the blockage determination reference value used this time. A series of processing of the calculation 1527 is ended, and the process proceeds to ST28.

  In ST28, the blockage determination reference value Qostd calculated in ST27 (Qo'std after accuracy adjustment) is called from data, and in ST29 the blockage determination value Qo calculated in ST26 is the blockage determination reference value Qostd (accuracy). After adjustment, it is determined whether or not it exceeds (Qo'std). If it is determined that it exceeds (YES), it is determined that the AR precursor has been confirmed, and "AR" of case C shown in FIG. For example, the monitoring device 4 shown in FIG. 1 reports and records the result to the central management device (not shown), and the diagnosis processing for the current driving is completed and the next driving is completed. Wait for diagnostic processing. If it is determined that the blockage determination value Qo is lower than the blockage determination reference value Qostd (Qo'std after accuracy adjustment) (NO), there is a possibility of pump blockage, and both the AR and blockage are determined. It is determined that the precursor has been confirmed, and the “AR + blocking warning” state of case D shown in FIG. 4 and Table 1 is diagnosed. For example, the result is transferred from the monitoring device 4 shown in FIG. 1 to the central management device (not shown). Processing such as notification and recording is performed, the diagnostic processing for the current driving is completed, and the next driving diagnostic processing is waited for.

  Next, in the present invention, the pump performance gradually deteriorates due to, for example, aged wear of an impeller and a pump casing accompanying long-term operation of the drainage pump. In ST3, the actual pump discharge amount Qpio is calculated by adding the stored inflow amount Qin calculated by Equation 1 to the stored relative wastewater treatment capacity amount Qout calculated by Equation 6 in ST14 of paragraph 0041 and stored. The ratio of the planned pump discharge amount Qp to the actual pump discharge amount Qpio with respect to the actual pump discharge amount Qpio is calculated and stored for each cycle as the pump discharge amount ratio Qio according to the following formula 12, and the designated period is set as shown in FIG. It can be set to the axis and the interval of the specified period can be arbitrarily set according to the site situation such as day, week, month, etc. Preferably, the ratio Qio of each pump discharge amount stored and accumulated corresponding to the specified period is plotted on the Y axis in a time series and graphed and listed (not shown), so that Since the pump discharge performance decline trend is visualized, for example, the maintenance period is predicted in advance by setting a 30% decrease as a maintenance period with respect to the ratio Qio of the initial pump discharge amount, and the performance degradation status is visually recognized. Therefore, efficient maintenance can be performed without waste at an extremely appropriate time.

  Furthermore, as shown in FIG. 19 and FIG. 20, the designated period is set on the X-axis for trouble management of abnormal conditions such as daily obstruction and AR, and the designated period is set to the day, week, month, etc. according to the site situation. Desirably, it can be arbitrarily set, and the various stored and stored judgment values corresponding to the specified period are plotted in time series on the Y-axis, and are graphed and listed (not shown), thereby causing problems (blockage and AR). Since the various judgment values are constant unless the performance deteriorates due to the above, the value obtained by adding the allowable set value to the average value of the various judgment values in the designated period is used as a reference value. Whether or not a sign of failure has occurred can be visually confirmed appropriately and easily.

  For example, as shown in FIG. 19, the designated period is set on the X-axis, and the designated period interval can be arbitrarily set according to the site situation, such as a day, a week, or a month. The ratio Qio of each pump discharge amount calculated and stored according to Equation 12 corresponding to the specified period is plotted on the Y axis in a time series and graphed and listed (not shown) for easy visualization. Therefore, when the blockage occurs, the actual pump discharge amount Qpio calculated by the formula 11 decreases, and therefore the pump discharge rate ratio Qio tends to decrease. In this embodiment, the ratio of the pump discharge amount By using the value obtained by subtracting the allowable setting value from the average value Qioave of Qio (cumulative value of each stored and stored Qio / number of specified period days) as a reference value for determination Sign of what time occlusion can be checked properly and easily whether it has occurred.

  In addition, as a sign confirmation of the occurrence of AR, for example, it is desirable that a designated period is set on the X axis as shown in FIG. 20, and the interval of the designated period can be arbitrarily set according to the site situation, such as day, week, month. The determination Tx2 value of each AR determination II of the accumulated data ΣTx2 recorded with the AR determination II determination value Tx2 calculated in ST12 corresponding to the period in ST1323-1 is plotted on the Y axis in time series and graphed. Since it can be easily visualized by making a list (not shown), when AR occurs, the determination value Tx of AR determination I calculated in ST7 increases, so the determination value Tx2 of AR determination II is also In this embodiment, the value obtained by adding the allowable setting value to the average value Tx2ave (stored ΣTx2 ÷ number of specified period days) of the AR determination II determination value Tx2 is determined in this embodiment. By using as a reference value, it is possible to clearly confirm the time or sign of AR occurs properly and easily.

  Accordingly, as described above, the stored and accumulated various judgment values corresponding to the designated period in the trouble management of abnormal conditions such as daily obstructions and ARs are graphed and listed in time series, and various judgment values in the designated period are displayed. By using the average value plus the allowable set value as the reference value for judgment, it is possible to easily and visually recognize when a sign of malfunction such as blockage and AR has occurred, so the current situation can be efficiently and easily Therefore, the shortage can be avoided in advance.

It is a block diagram of one Example of this invention. It is a diagram which shows the driving | running state of the drainage pump accompanying the water level fluctuation | variation in the tank of this invention. It is a diagram which shows the measurement time in the water level fluctuation | variation in the tank of this invention. It is a diagram for demonstrating the division of each diagnosis shown in Table 1 in the water level fluctuation | variation in the tank of this invention. It is a flowchart which shows the whole diagnostic process of this invention. It is a flowchart which shows the detailed process of the calculation 4 of ST4 in FIG. It is a flowchart which shows the detailed process of the calculation 10 of ST10 in FIG. It is a flowchart which shows the detailed process of the calculation 1323 of ST13 and ST23 in FIG. It is a flowchart which shows the detailed process of the calculation 1527 of ST15 and ST27 in FIG. It is a diagram for demonstrating the statistical process of the inflow determination value Q in the calculation 4 of ST4 of FIG. FIG. 8 is a diagram for explaining statistical processing of a determination value Tx of AR determination I in calculation 10 of ST10 in FIG. 7. FIG. 10 is a diagram for explaining statistical processing of a determination value Tx2 of AR determination II in the calculation 1323 of ST13 and ST23 of FIG. Statistical processing for obtaining the reference value Tx2std of the AR determination II using a linear regression equation from the graph in which the corresponding data of the inflow determination value Q and the determination value Tx2 of the AR determination II in ST1323-8 and ST1323-9 in FIG. It is a diagram for explaining. The reference value Tx2std of AR determination II in FIG. 13 is provided with the accuracy adjustment change allowable setting value in ST1323-10 and ST1323-11 in FIG. It is a diagram for demonstrating the statistical process which calculates | requires reference value Tx2'std of AR determination II. FIG. 10 is a diagram for explaining the statistical processing of the blockage determination value Qo in the calculation 1527 of ST15 and ST27 of FIG. 9. FIG. 9 illustrates statistical processing for determining the blockage determination reference value Costd using a linear regression equation from the graph in which the corresponding data of the inflow determination value Q and the blockage determination value Qo are scattered in ST1527-8 and ST1527-9. FIG. The blockage determination reference value Qostd in FIG. 16 is provided with the accuracy adjustment change allowable setting values in ST1527-10 and ST1527-11 in FIG. It is a diagram for demonstrating the statistical process which calculates | requires reference value Qo'std of. It is a diagram for demonstrating the diagnosis of the pump discharge performance fall by a secular change. It is a diagram for demonstrating defect management of the abnormal state of daily obstruction | occlusion. It is a diagram for demonstrating failure management of the abnormal state of daily AR.

Explanation of symbols

1 Water tank 2 Water level sensor 3 Control device P1 Drain pump P2 Drain pump

Claims (6)

  Measured per unit time based on a water tank that can calculate the volume from the amount of change in water level, one or more drain pumps, a water level sensor that detects the water level in the water tank, and a signal received from the water level sensor A drainage pump abnormality diagnosis method using a control device having functions such as data storage and calculation processing and on / off control of the drainage pump, wherein the volume calculated from the water level change amount and detection from the water level sensor Using the water level change time based on the signal and the planned discharge amount of the drainage pump, automatically calculate the reference value calculated by statistical processing using the accumulated data that has been calculated and stored according to a preset mathematical formula. An abnormality diagnosis method for a drainage pump, characterized in that an appropriate diagnosis is made by comparing a reference value of a determination that has been updated automatically and a determination value of a determination target.   Measured per unit time based on a water tank that can calculate the volume from the amount of change in water level, one or more drain pumps, a water level sensor that detects the water level in the water tank, and a signal received from the water level sensor A drainage pump abnormality diagnosis device equipped with a control device having functions such as data storage and calculation processing and drain pump start / stop control, wherein the volume calculated from the water level change amount and the water level sensor Using the water level change time based on the detection signal and the planned discharge amount of the drainage pump, the judgment reference value calculated by statistical processing using the accumulated data that has been calculated and stored according to a preset mathematical formula is appropriately set. A drainage pump abnormality diagnosing device that is configured to automatically update and properly diagnose by comparing a reference value of the determination with a determination value of a determination target.   In the drainage pump abnormality diagnosis method according to claim 1, since the accuracy of the reference value of the determination is greatly different for each machine place having different inflow conditions and pump characteristics, etc., the reference value for the determination is corrected. By providing a setting function for the allowable range setting value for judgment accuracy adjustment, the judgment correction reference value automatically updated as appropriate to the judgment correction reference value corresponding to each machine is compared with the judgment target judgment value. An abnormality diagnosis method for a drainage pump, characterized by being diagnosed properly.   In the drainage pump abnormality diagnosis device according to claim 2, the accuracy of the reference value of the determination is greatly different for each machine place having different inflow conditions and pump characteristics, etc., so that the reference value of the determination is corrected. By providing a setting function for the allowable range setting value for judgment accuracy adjustment, the judgment correction reference value corresponding to each machine is automatically updated as appropriate, and the judgment reference value is compared with the judgment target judgment value. An abnormality diagnosis device for a drainage pump, characterized in that it is configured so that it can be properly diagnosed.   A water tank that can calculate the volume from the amount of change in water level, one or more drain pumps, a water level sensor that detects the water level in the water tank, and data that is measured per unit time based on a signal received from the water level sensor Is a drainage pump abnormality diagnosis method using a control device having functions such as storage and calculation processing and drain pump start / stop control, wherein the volume calculated from the water level change amount and the detection signal from the water level sensor The specified period is set based on the accumulated data that is calculated and stored according to a preset mathematical formula using the water level change time based on the above and the planned discharge amount of the drainage pump, and the accumulated data corresponding to the designated period Can be graphed and listed in a time series for each specified interval, so that the tendency of the drainage pump to deteriorate due to secular changes at each specified interval can be properly and easily visually recognized. It features the door, the abnormality diagnostic method of the drainage pump.   A water tank that can calculate the volume from the amount of change in water level, one or more drain pumps, a water level sensor that detects the water level in the water tank, and data that is measured per unit time based on a signal received from the water level sensor Is a drainage pump abnormality diagnosis method using a control device having functions such as storage and calculation processing and drain pump start / stop control, wherein the volume calculated from the water level change amount and the detection signal from the water level sensor A specified period is set based on accumulated data that is calculated and stored according to a preset mathematical expression using the water level change time based on the above and the planned discharge amount of the drainage pump, and the accumulated data corresponding to the specified period is set. The average value is calculated, and the average value corrected with the allowable setting value is used as a reference value. The accumulated data corresponding to the specified period is processed in time series at a specified interval, and graphed and listed. In Rukoto, features that can visually recognize the change trend of the decision value managed on the course of the specified interval properly and easily, the abnormality diagnostic method of the drainage pump.

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