JP2015100766A - Water desalination system having abnormality detection function - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a water desalination system having an abnormality detection function capable of early detecting an abnormality of equipment in the water desalination system.SOLUTION: A water desalination system 100 comprises a water desalination plant 2 and an abnormality detection apparatus 1 which detects abnormality of the plant 2. The water desalination plant 2 includes: a high pressure pump 202 which pressurizes water to be treated; a reverse osmosis membrane module 205 which separates pressurized water to be treated into fresh water in which salt content in the pressurized water to be treated has been removed and concentrated water in which salt content in the pressurized water to be treated has been concentrated; and a power recovery apparatus 203 which recovers energy from the concentrated water. The abnormality detection apparatus 1 includes: a performance index calculation part 101 which calculates a performance index of each equipment in the plant 2 based on any two or more of measured values among at least measured values of flow rate, pressure, temperature and water quality of water to be treated, concentrated water and fresh water; a category classification part 102 which classifies operation data into a plurality of categories based on the characteristics of the operation data; a determination part 103 which determines normality/abnormality of each equipment based on classified categories; and a display part which displays a plurality of countermeasure methods for equipment which has been determined to be abnormal, according to the predetermined order of priority.

Description

  The present invention relates to a desalination system that takes seawater or brine and desalinates using a reverse osmosis membrane, and particularly relates to a desalination system having an abnormality detection function.

  In recent years, construction of seawater desalination plants that produce fresh water from seawater using reverse osmosis membranes has been increasing due to the growing global population and the emergence of freshwater demand accompanying the rise of emerging countries. .

  The reverse osmosis membrane is made of a material such as cellulose or polyamide. By applying a pressure exceeding the osmotic pressure of seawater to the membrane, water is passed through the micropores of the reverse osmosis membrane, and salt (mainly NaCl) Permeation is suppressed and fresh water can be obtained. A high pressure pump is used to pressurize the seawater. Further, since the concentrated water at the outlet of the reverse osmosis membrane has pressure energy, a power recovery device may be installed to perform energy recovery.

  By the way, in a seawater desalination plant, when an abnormality occurs in equipment such as a high-pressure pump and a reverse osmosis membrane, it is necessary to stop the plant and take measures such as repair and replacement of the target equipment. Therefore, it is desired to prevent the plant from being stopped or shorten the plant stop period by predicting the abnormality of the device at an early stage and taking countermeasures.

  For example, Patent Document 1 discloses a salt concentration of fresh water produced by passing through a reverse osmosis membrane in a seawater desalination facility, a salt concentration in sea water supplied to the reverse osmosis membrane via a high-pressure pump, and power. A device that detects deterioration of a reverse osmosis membrane or a failure of a power recovery device based on a salinity concentration in seawater flowing through a bypass line that supplies seawater to the reverse osmosis membrane through the recovery device is described.

JP 2010-89036 A JP 2011-70334 A

  In desalination systems that require continuous supply of drinking water and industrial water, after taking seawater or brine as the water to be treated, a plurality of pretreatment devices, high pressure pumps, reverse osmosis membranes, power recovery devices, etc. The devices are connected in series from the upstream side to the downstream side. In particular, since seawater or brine is an incompressible fluid, abnormalities in the flow rate and pressure on the upstream side immediately spread to the entire desalination system. Therefore, it is necessary to be able to identify the place where the abnormality has occurred with high accuracy and early.

  However, the abnormality detected by the system described in Patent Document 1 is limited to the deterioration of the reverse osmosis membrane or the failure of the power recovery device, and only the partial failure in the desalination system, that is, the abnormality of a specific individual device. It is difficult to specify the location of an abnormality in the entire desalination system with high accuracy.

  In view of the above-mentioned points, the present invention is to provide a desalination system having an abnormality detection function capable of detecting an abnormality of equipment in the desalination system at an early stage.

  In order to solve the above-described problems, the desalination system of the present invention includes (1) at least a high-pressure pump that pressurizes the water to be treated, and the fresh water and salt from which the salinity has been removed from the pressurized water to be treated. A reverse osmosis membrane module that separates into concentrated water, (2) a desalination plant having a power recovery device that recovers energy from the concentrated water, and (3) an abnormality detection device that detects an abnormality in the desalination plant, The anomaly detection device is based on any two or more measurement values of flow rate, pressure, temperature, and water quality of at least the treated water, the concentrated water, and the fresh water. Performance index calculation means for calculating a performance index, and category classification means for classifying operation data composed of the measured values and the calculated performance index into a plurality of categories based on characteristics of the operation data And determining means for determining normality / abnormality of each device based on the classified category, and display means for displaying a plurality of countermeasure methods for the device determined to be abnormal in accordance with a predetermined priority order. .

  ADVANTAGE OF THE INVENTION According to this invention, the desalination system which has the abnormality detection function which can detect the abnormality of the apparatus in a desalination system at an early stage can be provided.

  Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.

It is a system configuration figure of a desalination system concerning one example of the present invention. It is an apparatus block diagram of the desalination plant shown in FIG. It is a processing flow of the abnormality prediction recovery assistance apparatus shown in FIG. It is explanatory drawing of the categorization of the driving | operation data by a category classification | category part. It is a figure explaining the correlation of the category after classification. It is a display example of the countermeasure method display part shown in FIG. It is a display example of the countermeasure method display part shown in FIG. It is a display example of the countermeasure method display part shown in FIG. It is a system block diagram of the desalination system which concerns on the other Example of this invention.

  The desalination plant constituting the desalination system of the present invention is a stirrer that takes seawater or brackish water as treated water, adds a flocculant and / or a pH adjuster to the taken treated water, and stirs it. A high pressure pump that boosts the water to be treated after stirring and supplies it to the reverse osmosis membrane module, and reverses the pressure-treated water to be separated into concentrated water that is high-concentration salt water and filtered water (fresh water) from which salt has been removed. A power recovery device is provided for recovering energy from high-pressure concentrated water discharged from the osmosis membrane module and reverse osmosis membrane module.

  In addition, the desalination plant constituting the desalination system of the present invention separates sewage, which is domestic wastewater, into a low-concentrated concentrated water and a low-concentrated concentrated water by membrane separation into low-concentrated concentrated water and fresh water using a reverse osmosis membrane module. This includes mixing seawater and subjecting the water to be treated after membrane separation to high-concentration salt water and fresh water using a reverse osmosis membrane module. Brine water here refers to water containing salt such as sodium chloride, brackish water existing at the boundary with seawater, and fossil water and rock salt zones formed by seawater in the past. There is also irrigation in land water such as salty water.

  Embodiments of the present invention will be specifically described below with reference to the drawings.

  FIG. 1 is a system configuration diagram of a desalination system according to an embodiment of the present invention. The desalination system 100 of the present invention includes an abnormality prediction recovery support device 1, a desalination plant 2, and a control device 3 that controls each device constituting the desalination plant 2. The control device 3 collects measurement values such as flow rate, pressure, temperature, water quality, etc. from the desalination plant 2 and inputs them into the measurement value DB (database) 111 of the abnormality prediction recovery support device 1. Moreover, the control apparatus 3 is installed in the pump output and piping of the desalination plant 2 so that the production value of fresh water and the discharge pressure of the pump, which are measured values collected from the desalination plant 2, become their target values. The manipulated variable such as the valve opening is output to the desalination plant 2.

  The abnormality prediction recovery support apparatus 1 includes a measurement value DB 111, a performance index calculation unit 101, a performance index DB 112 that stores each performance index calculated by the performance index calculation unit 101, a measurement value stored in the measurement value DB 111, and a performance index DB 112. The category classification unit 102 for classifying the state of each device constituting the desalination plant 2 into a plurality of categories based on the performance indexes stored in the category, the category DB 113 for storing the classified categories, and the components constituting the desalination plant 2 It is composed of a normal / abnormal determination unit 103 that determines the state of the device.

  Further, the abnormality prediction recovery support device 1 stores a countermeasure method DB 114 that stores a plurality of countermeasure methods in case of abnormality for each device in advance according to the determination result of the normality / abnormality determination unit 103, and displays countermeasure methods for the corresponding devices. Correction method correction that corrects the countermeasure method at the time of abnormality stored in the countermeasure method DB 114 and the countermeasure method selection unit 104 that is displayed on the unit 122 and allows the operator to select one of a plurality of countermeasure methods Unit 105, and a measurement value / performance index display unit 121 that displays the measurement value stored in the measurement value DB 111 and each performance index stored in the performance index DB 112. Note that the measurement value / performance indicator display unit 121 and the countermeasure method display unit 122 may be displayed on different display devices, or may be configured to be divided into regions on one display device.

  The performance index calculation unit 101, the category classification unit 102, the normality / abnormality determination unit 103, the countermeasure method selection unit 104, and the countermeasure method correction unit 105 are realized by software, for example, and a program corresponding to the processing content described later is stored in a ROM or the like. It is realized by reading from the storage device and executing by a processor such as a CPU.

  Here, before explaining the process of the abnormality prediction recovery support apparatus 1, the apparatus which comprises the target desalination plant 2 is demonstrated. FIG. 2 is an equipment configuration diagram of the desalination plant 2 shown in FIG. 1. In this figure, only the main part is shown as an example of the desalination plant 2 which is a seawater desalination plant using seawater as treated water.

  The seawater desalination plant 2 includes a seawater supply pump 201, a high-pressure pump 202, a reverse osmosis membrane module 205, a power recovery device 203, and a booster pump 204. Seawater pumped up by the seawater feed pump 201 attached to the intake pipe 211 is pressurized by the high-pressure pump 202 attached to the pipe 212 and introduced into the reverse osmosis membrane module 205 via the pipe 215.

  The introduced seawater is membrane-separated by the reverse osmosis membrane module 205 into filtered water (fresh water) from which the salinity has been removed by the reverse osmosis action of the membrane and concentrated water having a high salinity concentration. The fresh water is taken out through the pipe 216, while the concentrated water is supplied to the power recovery device 203 through the pipe 217. The fresh water taken out through the pipe 216 is almost equal to the atmospheric pressure, and the concentrated water flowing through the pipe 217 maintains the same pressure as when pressurized by the high-pressure pump 202. Here, the high-pressure pump 202 pressurizes the seawater flowing through the pipe 212 to a predetermined pressure in order to obtain a desired amount of fresh water.

  Further, a part of the seawater pumped up by the seawater feed pump 201 is supplied to the power recovery device 203 via the branch pipe 213. The power recovery device 203 uses the pressurized concentrated water discharged from the reverse osmosis membrane module 205 and introduced into the power recovery device 203 via the pipe 217, and adds seawater introduced via the branch pipe 213. Press. Seawater pressurized by the power recovery device 203 flows through the pipe 214 and merges with the pipe 215. A booster pump 204 is attached to the pipe 214, and the booster pump 204 adds seawater pressurized by the power recovery device 203 so as to have the same level as the pressure of seawater pressurized by the high-pressure pump 202. Press. Here, as the power recovery device 203, for example, a positive displacement piston pump or the like may be used.

  Seawater pressurized to a predetermined pressure by the high-pressure pump 202 and the booster pump 204 is joined and then introduced into the reverse osmosis membrane module 205 via the pipe 215. The combined seawater is membrane-separated by the reverse osmosis membrane module 205 into concentrated water having a high salinity concentration and fresh water from which the salinity has been removed. The concentrated water introduced into the power recovery device 203 via the pipe 217 is drained via the pipe 218 after the pressure is transmitted to the seawater introduced into the power recovery device 203 via the branch pipe 213. .

  In addition, the intake pipe 211 is provided with a thermometer T1, a pressure gauge P1, and a water quality meter W1. A flow meter F 1 that measures the discharge flow rate of the high-pressure pump 202 is installed in the pipe 212, and a flow meter F 2 that measures the flow rate of seawater introduced into the power recovery device 203 is installed in the branch pipe 213. In the pipe 214, a flow meter F3, a pressure gauge P2, and a water quality meter W2 are installed to measure the flow rate, pressure, and water quality of the seawater pressurized by the power recovery device 203, respectively. A pressure gauge P3 and a water quality meter W3 are installed in the pipe 215 where seawater pressurized by the booster pump 204 and seawater pressurized by the high-pressure pump 202 merge and lead to the reverse osmosis membrane module 205. A thermometer T2, a pressure gauge P4, a flow meter F4, and a water quality meter W4 are installed in a pipe 216 from which fresh water separated by the reverse osmosis membrane module 205 is taken out. A pressure gauge is connected to a pipe 217 through which concentrated water flows. P5, a thermometer T3, a pressure gauge P6, and a water quality meter W5 are installed in a pipe 218 through which the concentrated water after pressure transmission flows.

  By collecting the measurement values from these measuring instruments, the control device 3 can monitor and control the state and water quality of each device constituting the seawater desalination plant 2. As a water quality meter, one that measures turbidity, SDI (Silt Density Index), pH, oxidation-reduction potential (ORP), etc. is used. In this example, the case of measuring conductivity as a water quality meter is taken as an example. explain.

  Further, in the seawater desalination plant 2 of the present embodiment, a pretreatment device (not shown) is provided on the upstream side of the high-pressure pump 202 and the power recovery device 203, and a cleaning liquid for cleaning the reverse osmosis membrane module 205 And a cleaning pump for supplying the cleaning liquid to the reverse osmosis membrane module 205 are provided.

  As a pretreatment device, seawater that is to be treated is stored, and a polymer flocculant or an inorganic flocculant is added to seawater and stirred so that impurities such as organic matter contained in the seawater are captured by the flocculant. Microfiltration membrane (MF membrane) that separates flocs from seawater containing floc flowing out from the flocculent stirring tank, flocculation agitation tank (MF membrane: Microfiltration Membrane) A filtration membrane (UF membrane: Ultrafiltration Membrane) or the like is used. As the polymer flocculant, for example, polyacrylamide flocculant, and as the inorganic flocculant, ferric chloride is used, for example.

  FIG. 3 is a processing flow of the abnormality prediction recovery support apparatus shown in FIG.

  First, the control device 3 collects measured values from the flow meters F1 to F4, the pressure meters P1 to P6, the thermometers T1 to T3, and the water quality meters W1 to W5 at a predetermined cycle, and the abnormality prediction recovery support device 1 Stored in the measured value DB 111.

  The performance index calculation unit 101 reads the measurement value stored in the measurement value DB 111, calculates the performance index of the equipment constituting the seawater desalination plant 2 based on the read measurement value, and stores the performance index in the performance index DB 112. (Step S1). At this time, the operator confirms the performance index and each measured value by displaying the measured value stored in the measured value DB 111 and the performance index stored in the performance index DB 112 on the measured value / performance index display unit 121. be able to. In the following description, the measurement value stored in the measurement value DB 111 and the performance index stored in the performance index DB 112 may be collectively referred to as operation data.

  Next, the category classification unit 102 reads the performance index stored in the performance index DB 112 and the measurement value stored in the measurement value DB 111, classifies the states of the devices constituting the seawater desalination plant 2 into categories, and numbers them. And stored in the category DB 113 (step S2). Here, the category is a group of data having similarities.

  The normality / abnormality determination unit 103 reads the category number stored in the category DB 113 and determines whether the state of the equipment constituting the seawater desalination plant 2 is a normal state or an abnormal state (step S3). If the determination result is normal in step S3, the process ends.

  If the determination result is abnormal in step S3, the countermeasure method selection unit 104 takes a countermeasure method for restoring the device determined to be in an abnormal state to a normal state based on the category number and the evaluation value. A plurality of methods are selected from the method DB 114, and after ranking, the list is displayed on the countermeasure method display unit 122 (step S4).

  Next, upon receiving selection instruction input by the operator for a plurality of countermeasure methods displayed in a list on the countermeasure method display unit 122 (step S5), the countermeasure method selecting unit 104 outputs the selected countermeasure method to the control device 3. And the control apparatus 3 outputs a control command to the apparatus corresponding to this countermeasure method, and carries out operation control of the seawater desalination plant 2 (step S6).

  When the seawater desalination plant 2 is controlled for a certain time (step S7), the performance index calculation unit 101 reads the measured value measured after the lapse of the certain time from the measured value DB 111, and converts the measured value to the read measured value. Based on this, the performance index of the equipment constituting the seawater desalination plant 2 is calculated and stored in the performance index DB 112 (step S8).

  The performance index after the countermeasure stored in the performance index DB 112 in step S8 is compared with the performance index at the time when the abnormality is determined in step S3, that is, the performance index before the countermeasure, and the abnormality is recovered. It is determined whether or not (step S9). If it is determined in step S9 that the abnormality has not been recovered, the process returns to step S4, and the processes from step S4 to step S9 are repeatedly executed.

  When it is determined in step S9 that the abnormality has been recovered, the countermeasure method correcting unit 105 adds a fixed value to the evaluation value of the countermeasure method corresponding to the selection instruction received in step S5 (step S10). ), The process is terminated. In addition, the process of said step S1-S10 is performed with a predetermined period, for example for every 30 minutes or 1 hour. Further, in step S5, the display priority order may be corrected and stored in the countermeasure method DB 114 so as to increase the display order of the countermeasure method that has received the selection instruction input by the operator. As a result, the countermeasure method determined by the operator to be optimal is displayed at a higher level and the appropriate countermeasure method is displayed when it is determined to be abnormal.

  Here, the category classification unit 102 will be described. In the present embodiment, as an example, adaptive resonance theory (ART), which is one of clustering techniques, is used. The category classification using ART is described in Patent Document 2, for example.

  FIG. 4 shows an explanatory diagram of categorization of driving data by the category classification unit 102, and FIG. 5 shows the correlation of categories after classification. In FIG. 4, the time change of the operation data A and the operation data B in the period when the seawater desalination plant 2 is normally operated, and the period which diagnoses an operation state is shown. Here, the operation data A and the operation data B are measured values collected from the sensors such as the above-described thermometer, flow meter, pressure gauge, and water quality meter via the control device 3 and the performance obtained by the performance index calculation unit 101. It is an index, and in both the normal operation period and the diagnosis period, a state that is in the range between the upper limit and the lower limit of the alarm output is shown.

  In the category classification unit 102, the operation data A and the operation data B in the normal operation period are input in advance, and the correlation between the operation data A and the operation data B is learned. At this time, as shown in FIG. 4, as the correlation between the operation data A and the operation data B, (1) the operation data A is large, the operation data B is small, (2) both the operation data A and the operation data B are small, ( 3) Data groups showing three different correlations are extracted, with the operation data B being large and the operation data A being small. Each of these is classified into category numbers 1 to 3 and shown along with the change with time in the lower part of FIG. Here, in order to simplify the explanation, the case where the correlation between the operation data A and the operation data B in the above category classification is identified by the magnitude relationship of each operation data is shown, but the present invention is not limited to this. The difference from the data B may be compared with a predetermined threshold value and categorized.

  Next, after learning the correlation between the driving data A and the driving data B shown in the category numbers 1 to 3, the operation of the category classification unit 102 in the driving state diagnosis period will be described. When the operation data A and the operation data B are input to the category classification unit 102, the operation data A and the operation data B in the first period shown in the upper part of FIG. 4 are similar to the characteristics of the category number 2 already learned. Therefore, the category classification unit 102 classifies the category as 2. Next, the correlation between the operation data A and operation data B input during the period is classified as a new category because both data are large and are not similar to the characteristics of any of the learned category numbers 1 to 3. To do. As a result, as shown in FIG. 5, in addition to the learned categories 1 to 3, category 4 is registered as a new category.

  Accordingly, the normal / abnormality determination unit 103 determines that the category classified by the category classification unit 102 is normal if the category has the same characteristics as the driving data used for learning. If the category is different, that is, the category is classified into a new category. If it is, it is determined as an abnormal state.

  Next, the performance index obtained by the performance index measurement unit 101 based on the measurement value read from the measurement value DB 111 will be described.

As a performance index in the reverse osmosis membrane module 205, a first performance index (Y ₂₀₅ ) for evaluating the permeation performance of the reverse osmosis membrane is calculated by the following equation (1).

  Here, Fn is a measured value of the flow meter Fn, Pn is a measured value of the pressure gauge Pn, Tn is a measured value of the thermometer Tn, Wn is a measured value of the water quality meter Wn, Pnet is an effective pressure, and std is a reference value. . The function f1 represents a function for calculating the osmotic pressure from the temperature and conductivity. The effective pressure is a difference between the pressure applied to the reverse osmosis membrane and the osmotic pressure of the fluid (seawater, fresh water, concentrated water), and is a substantial pressure related to filtration through the reverse osmosis membrane.

Y ₂₀₅ as the first performance index obtained by the equation (1) decreases the value when the membrane in the reverse osmosis membrane module 205 becomes dirty and the amount of filtration decreases, so the device performance of the reverse osmosis membrane 205 is evaluated. Is possible.

As a performance index in the high-pressure pump 202, a second performance index (Y ₂₀₂ ) for evaluating the pump performance is calculated by the following equation (2).

  Here, N202 is the rotation speed of the high-pressure pump 202. The function f2 represents the performance curve (QH curve) of the pump, and represents the relationship with the pump discharge flow rate when the pump is operated at a predetermined elevation (or discharge pressure) and rotation speed. is there.

Y ₂₀₂ , which is the second performance index obtained by the equation (2), evaluates the equipment performance of the high-pressure pump 202 because the pump fails and the discharge flow rate or discharge pressure of the pump deviates from the pump performance curve. It is possible.

As a performance index in the power recovery apparatus 203, a third performance index (Y ₂₀₃ ) for evaluating the power recovery performance is calculated by the following equation (3).

  Formula (3) expresses the ratio of the recovered energy to the input energy to the power recovery apparatus 203, and this ratio decreases when the power recovery apparatus 203 breaks down. Therefore, the equipment performance of the power recovery apparatus 203 is evaluated. Is possible.

  By using the first performance index to the third performance index as described above, it is possible to detect an abnormality that is difficult to predict with only the measurement values from each sensor. In this embodiment, the case where the abnormality of the reverse osmosis membrane module 205, the high pressure pump 202, and the power recovery device 203 is predicted by using the first performance index to the third performance index has been described. In order to enable prediction of abnormality in other devices constituting the conversion plant 2, another performance index may be newly introduced.

  Next, the countermeasure method selection unit 104 displays a list of countermeasure methods for causing the device determined to be in an abnormal state to be restored to the normal state based on the category number and the evaluation value on the countermeasure method display unit 122. A display example will be described.

  FIG. 6 shows a state in which the reverse osmosis membrane module 205 is determined to be in an abnormal state, and the countermeasure methods are listed on the countermeasure method display unit 122. According to a predetermined priority order, an area for displaying a device name for identifying a device determined to be in an abnormal state among devices constituting the seawater desalination plant 2, a region for displaying an abnormal category number obtained by the above category classification, A display screen is composed of an area for displaying a plurality of countermeasure methods for a device determined to be in an abnormal state, an area for displaying an evaluation value for each countermeasure method, and an area for indicating the countermeasure method selected last time.

  In FIG. 6, as a countermeasure method, “flushing”, “acid cleaning”, “alkali cleaning”, “pretreatment device maintenance” are displayed in this order, and the reverse osmosis membrane module 205 in the seawater desalination plant 2 is stopped. “Membrane exchange” indicating a reverse osmosis membrane exchange operation is displayed with the lowest priority.

  “Flushing”, which has the highest display priority, removes deposits on the surface of the reverse osmosis membrane by increasing the flow rate of seawater introduced into the reverse osmosis membrane module 205 via the pipe 215 shown in FIG. This is a countermeasure method that can be coped with by temporarily increasing the discharge pressure of the high-pressure pump 202 and can continuously operate the seawater desalination plant 2.

  In addition, “acid cleaning” and “alkali cleaning” displayed in the display priorities 2 and 3, respectively, supply the acidic cleaning liquid and alkaline cleaning liquid stored in the cleaning liquid storage tank to the reverse osmosis membrane module 205 by the cleaning pump, After being retained for a predetermined time, the cleaning liquid in the reverse osmosis membrane module 205 is discharged by supplying seawater through the pipe 215. Since the cleaning liquid is retained for a predetermined time, the production efficiency of fresh water is reduced as compared with “flushing”.

  When the operator selects and instructs a desired countermeasure method in the screen display state shown in FIG. 6, the operation amount of the device corresponding to the selected countermeasure method is output via the control device 3 (step S6 shown in FIG. 3). ). For example, when the operator selects and instructs “flushing” as a countermeasure similar to the previous countermeasure content on the display screen, the operation amount of the discharge pressure is output from the control device 3 to the high-pressure pump 202.

The evaluation value column shown in FIG. 6 is provided in order to present the recovery effect of the equipment by each countermeasure method to the operator, and executes steps S6 to S9 described with reference to FIG. A value based on the difference between the first performance index Y ₂₀₅ before and after the countermeasure obtained by the above is added as an evaluation value and displayed in the evaluation value column. In other words, the result of the countermeasure is fed back in the evaluation value column, and the operator can refer to the numerical value as to which countermeasure method contributes to the recovery of the equipment. You can choose. Note that the countermeasure method correcting unit 105 described above corrects the previous selection column in accordance with the addition of the evaluation value and the countermeasure method selected by the operator. The countermeasure method correcting unit 105 corrects the display order based on the evaluation value and the selection instruction input by the operator, and the correction result is stored in the countermeasure method DB 114.

  In this embodiment, in FIG. 6, the operation amount of the device corresponding to the countermeasure method selected by the operator is output via the control device 3. The information shown in FIG. 6 may be displayed on the countermeasure method display unit 122 as support information for examining a specific operation on the device to be performed.

FIG. 7 shows a state in which the high-pressure pump 202 is determined to be in an abnormal state and the countermeasure methods are listed on the countermeasure method display unit 122. In FIG. 7, “Measurement of shaft and bearing”, “Confirmation of inlet / outlet valve”, “Confirmation of clogging of strainer” are displayed as countermeasure methods, and “Pump maintenance” is displayed as the countermeasure method with the lowest priority. Indicates the state. In FIG. 7, it is displayed that “confirmation of inlet / outlet valve” was selected at the time of the last countermeasure execution. Similar to FIG. 6, in the evaluation value column, a value based on the difference of the second performance index Y ₂₀₂ before and after the countermeasure is added as an evaluation value and displayed in the evaluation value column. Others are the same as FIG.

FIG. 8 shows a state in which the power recovery apparatus 203 is determined to be in an abnormal state, and the countermeasure methods are listed on the countermeasure method display unit 122. FIG. 8 shows a state in which “confirmation of inlet / outlet valve” and “confirmation of strainer clogging” are displayed in order as countermeasure methods, and “maintenance of power recovery device” is displayed as the countermeasure method with the lowest priority. In FIG. 8, it is displayed that “confirmation of the inlet / outlet valve” was selected at the time of the last countermeasure execution, and the evaluation value column is based on the difference of the third performance index Y ₂₀₃ before and after the countermeasure. The value is added as an evaluation value and displayed in the evaluation value column. Others are the same as FIG.

  With the abnormality prediction recovery support apparatus 1 of the present embodiment, it is possible to predict the abnormality of the device from the measured value in the seawater desalination plant 2 and the performance index of the device calculated from the measured value. In addition, a plurality of countermeasure methods for recovering the seawater desalination plant 2 from the abnormality prediction results are ranked and presented to the operator, and the countermeasure method ranking is corrected by correcting the ranking of countermeasure methods from the countermeasure results. Can improve the accuracy.

  According to the present embodiment, it is possible to provide a desalination system having an abnormality detection function capable of detecting an abnormality of equipment in the desalination system at an early stage.

  In FIG. 4, the system block diagram of the desalination system which concerns on the 2nd Example of this invention is shown. In the first embodiment, the desalination plant 2 and the control device 3 that controls the desalination plant 2 are configured to include the abnormality prediction recovery support device 1, whereas in the present embodiment, a plurality of seawater desalination plants 2-1 are provided. To 2-n and a plurality of control devices 3-1 to 3-n for controlling the seawater desalination plant, respectively, are different in that they have a configuration including one abnormal prediction recovery support device 1 via the communication network 4. Others are the same as in the first embodiment.

  In FIG. 4, the abnormality prediction recovery support device 1 collects measurement values through a communication network 4 for a plurality of seawater desalination plants 2-1 to 2-n installed at different locations, and each seawater freshwater A third performance index is calculated from the first performance index described in the first embodiment for each conversion plant, and category classification, normal / abnormal determination, countermeasure method selection, and countermeasure method correction are performed.

  In a present Example, the countermeasure method with respect to several seawater desalination plants 2-1 to 2-n is integrated in single countermeasure method DB114.

  Therefore, since the data of the abnormal state of the apparatus with respect to several seawater desalination plants can be integrated and managed, the precision of the evaluation value corresponding to each countermeasure method demonstrated in Example 1 can be raised early. Moreover, it becomes possible to collect and manage abnormalities of a plurality of seawater desalination plants in a lump.

  In addition, also in a present Example, it becomes possible to provide the desalination system which has the abnormality detection function which can detect the abnormality of the apparatus in a desalination system at an early stage similarly to Example 1. FIG.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace the configurations of other embodiments with respect to a part of the configurations of the embodiments.

DESCRIPTION OF SYMBOLS 1 ... Abnormal prediction recovery support apparatus 2 ... Desalination plant 3 ... Control apparatus 4 ... Communication network 101 ... Performance index calculation part 102 ... Category classification | category part 103 ... Normal / abnormal judgment part 104 ... Countermeasure method selection part 105 ... Countermeasure method correction part 111 ... Measured value DB
112 ... Performance index DB
113 ... Category DB
114 ... Countermeasure method DB
121 ... Measured value / performance indicator display unit 122 ... Measurement method display unit 201 ... Seawater supply pump 202 ... High pressure pump 203 ... Power recovery device 204 ... Booster pump 205 ... Reverse osmosis membrane modules 211, 212, 214, 215, 216, 217 218 ... Piping 213 ... Branch piping

Claims (9)

At least a high-pressure pump that pressurizes the water to be treated, a reverse osmosis membrane module that separates the fresh water from which the salinity has been removed from the pressurized water to be treated and the concentrated water to which the salinity has been concentrated, and recovers energy from the concentrated water A desalination plant having a power recovery device,
An abnormality detection device that detects an abnormality of the desalination plant,
The abnormality detection device is:
Performance for calculating performance indicators of each device in the desalination plant based on at least two measurement values of flow rate, pressure, temperature, and water quality at least in the treated water, concentrated water, and fresh water Index calculation means;
Category classification means for classifying the operation data composed of the measured value and the calculated performance index into a plurality of categories based on the characteristics of the operation data;
A determination means for determining normality / abnormality of each device based on the classified category;
A desalination system comprising display means for displaying a plurality of countermeasures for a device determined to be abnormal in accordance with a predetermined priority. The desalination system according to claim 1,
Of the plurality of displayed countermeasure methods, the desalination system corrects the priority by a countermeasure method executed for the device determined to be abnormal. In the desalination system according to claim 1 or 2,
The performance index is a first performance index indicating the permeation performance of the reverse osmosis module,
The performance index calculating means includes a difference between a flow rate of fresh water by the reverse osmosis membrane module, a pressure of the treated water introduced into the reverse osmosis membrane module, an osmotic pressure of the treated water, concentrated water, and fresh water. A desalination system characterized in that the first performance index is obtained. In the desalination system according to claim 1 or 2,
The performance index is a second performance index indicating a performance index of the high-pressure pump,
The performance index calculating means obtains the second performance index based on a ratio between a measured value of the discharge flow rate or discharge pressure of the high pressure pump and a discharge flow rate or discharge pressure obtained from a flow rate-lift characteristic curve of the high pressure pump. A desalination plant characterized by that. In the desalination system according to claim 1 or 2,
The performance index is a third performance index indicating the power recovery performance of the power recovery device,
The performance index calculating means collects energy of the concentrated water flowing into the power recovery device and recovered from the concentrated water based on the flow rates of the treated water, concentrated water and fresh water, and the pressure of the treated water and concentrated water. A desalination plant characterized in that the third performance index is obtained as a ratio of energy to be generated. The desalination system according to claim 2,
The said display means displays the evaluation value for every countermeasure method displayed based on the difference of the performance index before and behind a countermeasure, The desalination system characterized by the above-mentioned. The desalination system according to claim 6,
The display means displays, in different areas on the display screen, information specifying the device name determined to be abnormal, the plurality of countermeasure methods, the evaluation value, and the countermeasure method selected last time, respectively. Desalination system. At least a high-pressure pump that pressurizes the water to be treated, a reverse osmosis membrane module that separates the fresh water from which the salinity has been removed from the pressurized water to be treated and the concentrated water to which the salinity has been concentrated, and recovers energy from the concentrated water A plurality of desalination plants having a power recovery device,
A plurality of control devices for controlling equipment constituting each desalination plant;
An abnormality detection device connected to the plurality of control devices via a communication network and detecting an abnormality of the plurality of desalination plants,
The abnormality detection device is:
Performance for calculating performance indicators of each device in the desalination plant based on at least two measurement values of flow rate, pressure, temperature, and water quality at least in the treated water, concentrated water, and fresh water Index calculation means;
Category classification means for classifying the operation data composed of the measured value and the calculated performance index into a plurality of categories based on the characteristics of the operation data;
A determination means for determining normality / abnormality of each device based on the classified category;
A desalination system comprising display means for displaying a plurality of countermeasures for a device determined to be abnormal in accordance with a predetermined priority. The desalination system according to claim 8,
Of the plurality of displayed countermeasure methods, the desalination system corrects the priority by a countermeasure method executed for the device determined to be abnormal.

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