JP2009000580A - Operation support device for membrane filtration apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an operation support device which can reduce treatment cost for operation control of a membrane filtration apparatus. <P>SOLUTION: The operation support device for a membrane filtration apparatus is equipped with a calculation means which, when the washing process for consuming a large amount of electric power is operated in a nighttime low in an electric power charge and the filtering process consuming a small amount of electric power is operated in a daytime high in an electric power charge, calculates recommended operation amounts of the membrane filtration apparatus containing at least a filtration time, and recommended operation amounts of a washing apparatus containing at least a washing time from present operation information of the membrane filtration apparatus containing a transmembrane pressure difference and a filtration flow rate of the membrane filtration apparatus filtering raw water, water level information of a distributing reservoir, an increasing ratio of the transmembrane pressure difference at a filtration time from the past or a decreasing ratio of the filtration flow rate from the past obtained from a planned water amount information given beforehand, and the planned water amount information input through interfaces. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an operation support apparatus for a membrane filtration apparatus for a water purification plant installed for separating and removing turbid substances and pathogens contained in raw water.

  In the filtration process of filtering and purifying water, the wet cake made of turbidity or organic matter causes clogging in the membrane of the membrane filtration processing device, and the transmembrane pressure difference increases, resulting in a decrease in the amount of filtered water. In order to reduce the transmembrane pressure difference and restore the filtration flow rate, the filtrate is backflowed in the backwash process to remove the cake adhering to the membrane. In the process of purifying the raw water, this filtration step and backwashing step are repeated. If the transmembrane pressure does not return to the specified value even after backwashing, perform chemical cleaning. If the transmembrane pressure does not return to the specified value even after performing chemical cleaning, the membrane module. Replace. In many cases, the filtration time and the backwash time are set by a timer, the filtration time is about 30 to 90 minutes, and the backwash time is about 15 to 30 seconds.

  In a water purification plant using surface water as raw water, a pretreatment device for removing turbidity is often provided upstream of the membrane filtration treatment device. In a typical coagulation-precipitation treatment as a pretreatment, a flocculant is injected into raw water to precipitate and remove turbid substances and organic substances. Since this process can reduce the water quality load applied to the subsequent membrane filtration treatment apparatus, it can be expected to suppress clogging of the membrane filtration treatment apparatus and reduce the power cost.

  The power consumption for the filtration treatment of the membrane filtration treatment device that filters the raw water in the water purification plant is larger than the filtration treatment in the coagulation sedimentation filtration treatment device, and consumes a large amount of power. Therefore, it is indispensable to suppress the amount of electric power, and in recent years, as described in [Patent Document 1], the power consumption is the largest in the filtration process so that the total of the total treatment cost and the membrane filtration treatment cost is optimized. Convert the power consumption in one cycle consisting of the filtration process and the backwash process by the sum of the power consumption of the pressure pump and the power consumption of the backwash pump with the largest power consumption in the washing process into costs, and reduce this As described above, there is a system including an optimum solution search algorithm that optimizes the filter pressurizing pump operation time t1 and the backwash pump operation time t2.

  In addition, as a conventional technique for controlling the flocculant injection amount of the membrane filtration processing device and the pretreatment device, as described in [Patent Document 2], the flocculant injection amount is determined based on the chromaticity and turbidity values of raw water. There are some which can control the clogging of the film by controlling.

JP 2006-21093 A JP-A-8-229554

  In the technology described in [Patent Document 1], in order to reduce the power consumption of the filtration process by the membrane filtration device, the power consumption in one cycle composed of the filtration process and the washing process is also taken into account, taking into account the time and season differences. I was trying to reduce the amount. However, the technique described in [Patent Document 1] pays attention to the power consumption for each cycle, and is insufficient to optimize the power consumption in several cycles.

  An object of the present invention is to provide an operation support apparatus that can reduce processing costs for operation control of a membrane filtration processing apparatus.

  In order to achieve the above object, the operation support device of the membrane filtration processing apparatus of the present invention includes a membrane filtration including the transmembrane differential pressure and the filtration flow rate of the membrane filtration processing apparatus that filters raw water, which is input via an interface. Current operation information of the treatment device, water level information of the reservoir, and the increase rate from the past of the transmembrane pressure difference at the time of filtration obtained from the planned water amount information given in advance or the decreasing rate of the filtration flow rate from the past, the planned water amount Based on the information, the recommended operation amount of the membrane filtration processing device including at least the filtration time when the cleaning process with high power consumption is operated at night with low power charges and the filtration process with low power consumption is operated in the daytime with high power charges And a calculating means for calculating a recommended operation amount of the cleaning processing apparatus including at least the cleaning time.

  Moreover, the present operation information of the membrane filtration processing apparatus including the transmembrane differential pressure and the filtration flow rate of the membrane filtration processing apparatus for filtering raw water input through the interface, the water level information of the distribution reservoir, and the plan given in advance Based on the increase rate from the past of the transmembrane pressure difference during filtration or the decrease rate of the filtration flow rate from the past, which is obtained from the water amount information, and the recommended operation amount of the membrane filtration processing device including at least the filtration time based on the planned water amount information The recommended operation amount of the cleaning treatment apparatus including at least the cleaning time, the membrane filtration processing cost information which is the operation cost of the membrane filtration processing apparatus when the recommended operation amount of the membrane filtration processing apparatus, and the recommended operation amount of the cleaning treatment apparatus Calculating means for calculating cleaning processing cost information which is the operating cost of the cleaning processing device at the time of the cleaning, the membrane filtration processing cost information calculated by the calculating means, the cleaning processing cost, the recommended operation amount of the membrane filtration processing device and the cleaning processing Dress A display device for displaying the recommended operation of the screen, are those having a.

  According to the present invention, water operation in a water treatment plant having a membrane filtration treatment is managed on a daily basis, and a filtration process with low power consumption is determined in conjunction with water demand prediction, and this is performed in the daytime when electricity charges are high. The water level of the reservoir is set high at night, so that a washing process with high power consumption is performed at night when the electricity rate is low, and in the daytime membrane filtration operation, the purified water collected during the day is distributed. It is possible to reduce the power consumption used for the membrane filtration process on a daily basis.

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

  FIG. 1 is a configuration diagram of an operation support apparatus for a membrane filtration apparatus that is Embodiment 1 of the present invention.

  As shown in FIG. 1, the current operation information interface 12 is connected to a membrane filtration treatment device 10 and a reservoir monitoring device 14, and includes at least a transmembrane pressure difference and a filtration flow rate from the membrane filtration treatment device 10. The current operation information 11 of the membrane filtration processing device and the reservoir information 13 including at least the reservoir water level are input to the interface 12 from the reservoir monitoring device 14.

  The interface 12 is realized by a keyboard or an electric circuit provided in a computer or a monitoring control panel, and information input to the interface 12 is measured by an electric circuit such as a measuring instrument, or an operator inputs a film. It is the information which read and input the measured value of the filtration processing apparatus 10 and the reservoir monitoring apparatus 14. FIG.

  The interface 12 is connected to the membrane filtration processing cost reduction operation operation amount calculation means 17, and the operation information 11 and the reservoir information 13 of the membrane filtration processing device via the interface 12 are computerized information, Input to the calculation means 17. Here, in addition to the current operation information 11 and the reservoir information 13 of the digitized membrane filtration processing apparatus, past operation record information can be used.

  The interface 15 for planned water volume information is connected to the calculation means 17 for reducing the amount of membrane filtration treatment operation, and the computerized water volume information 16 is input from the interface 15. Information can be given to the interface 15 in either a form in which information is automatically given from a computer or a form in which a person such as an operator inputs a value.

  A display device 21 is connected to the calculation means 17, and the calculation means 17 uses the inputted current operation information 11, distribution reservoir current information 13, and planned water amount information 16 of the membrane filtration processing apparatus to input the washing flow rate prediction information 18. Then, the filtration flow rate prediction information 19 and the recommended operation amount 20 of the membrane filtration processing device are calculated, and information for supporting these operations is displayed on the display device 21.

  The calculation means 17 performs the following calculation. A general loose filtration model for full flow filtration is given by Equation 1 and Equation 2.

Where Vf is the total amount of filtrate after the start of filtration, A is the membrane area, K is the resistance coefficient, Pf is the transmembrane pressure difference during filtration, c is the cake ratio to the unit filtrate volume, and μ is : Water viscosity coefficient, V ₀ : Filtration constant.

  In Equation 1, the membrane area A is known as the specification of the membrane module, and the transmembrane pressure difference Pf at the time of filtration is given as the current operation information 11 of the membrane filtration processing device. The filtrate total amount Vf after the start of filtration is an integrated value of the filtration flow rate given as the current operation information 11, and the viscosity coefficient μ of water is given as a physical constant.

The resistance coefficient k, the cake ratio c to the unit filtrate amount, and the filtration constant V ₀ are identified from the values of the current operation information 11. For identification, it is sufficient to know at least two different transmembrane pressure differences at two times or changes in filtration flow rate.

  In water purification plants, constant flow filtration is generally applied, and since the filtration flow rate is controlled to be constant, the upward trend or rate of increase in transmembrane pressure difference is used for identification. Constant-pressure filtration may also be applied to waterworks plants for general industries. In this case, the filtration pressure is controlled to be constant, so it is possible to identify the decreasing trend or rate of filtration flow from the past. Use.

  By using the filtration model represented by Equations 1 and 2, the filtration flow rate dVf / dt per unit time with respect to the transmembrane pressure difference Pf during filtration can be calculated. The power of the pressure pump required for filtration is proportional to the product of the discharge pressure Pfp and the filtration flow rate dVf / dt. Assuming that the pressure loss during filtration other than the transmembrane pressure difference such as the piping and lift difference is Pf &apos;, the electric power Wf consumed by the pressure pump for filtration is given by Equation 3.

Here, k ₂ is a proportionality constant.

  Next, the backwash model is assumed from Equation 1 to Equation 4 and Equation 5.

Here, Vb is the backwash water amount after the start of backwashing, k ₃ is backwashed during resistance coefficient, Pb is transmembrane pressure during backwashing, Vfsum is filtrate amount immediately before starting the backwash.

  The electric power Wb consumed by the backwash pump at the time of backwashing is given by Equation 6.

Here, k ₄ is a proportional constant, Pbp the discharge pressure of the backwash pump, Pb & apos is: backwash when the pressure loss of the outer membrane Difference pressure or piping and pump head difference.

  As described above, the backwashing process with high power consumption is basically performed at tb time at night, and the filtration process with low power consumption is performed at tf time in the daytime. .

  Here, from the current operation information 11 and the reservoir information 13 of the membrane filtration process, the filtration process time at the time of emergency switching for switching between the filtration process and the backwash process is tv, and the backwash process time is tu. In addition, the amount of power consumed to obtain the flow rate shown in Equation 7 is Equation 8.

Accordingly, the daytime power amount U ₁ and the nighttime power amount U ₂ necessary for making a unit amount of membrane filtrate water are expressed by Equations 9 and 10.

In order to convert the electric energy U ₁ and U ₂ into costs, the electric energy unit price is multiplied. If you have an electricity contract with a power company by season that has different unit prices for electricity during the day and at night, the amount of power required to obtain the unit amount of membrane filtration water, taking into account time and season differences. The charge Co is calculated by Equation 11.

Here, g ₁ (t) is a unit price for daytime electricity charges, and g ₂ (t) is a unit price for nighttime electricity charges.

  From the economical aspect, the filtration process is usually performed during the day and the reverse line process is performed at night. In this embodiment, it is necessary to predict the amount of water distribution from past data as the operation of the water purification plant, and supply the filtered water to the water reservoir in the daytime so as to rise to the predicted water level.

  However, the switching operation can be performed by the current operation information 11 of the transmembrane pressure difference abnormality due to clogging or the like and the distribution reservoir water level information 13 deviating from the predicted amount. The calculation means 17 is provided with an optimum search algorithm for optimizing the filtration time tv and backwash time tu at that time using the electricity charge Co as an evaluation index.

  As the search algorithm, mathematical means such as a brute force method, genetic algorithm, nonlinear programming method, steepest gradient method, or the like, or a method of selecting an optimum one from a plurality of preset operation patterns may be used.

  In the present embodiment, an example of optimizing at least the filtration times tf and tv and the backwash times tb and tu based on the loose filtration model is shown, but the present invention is not limited to this algorithm f.

  Calculate the cost for obtaining the same index, that is, the unit amount of membrane filtration water, using past operation data, and optimize the filtration time tf, tv and backwash time tb, tu based on the data A solution search algorithm is provided in the calculation means 17.

  The cleaning flow rate prediction information 18, the filtration flow rate prediction information 19, and the recommended operation amount 20 of the membrane filtration processing device thus obtained are displayed on the display device 21.

  The operator looks at the display device and adjusts the set values of the filtration time and the backwash time among the operating conditions of the membrane filtration apparatus 10.

  The recommended operation amount 20 of the membrane filtration processing device is preferably a screen that can compare other candidates and the current operation amount in addition to information that minimizes the cost for obtaining a unit amount of membrane filtration water. . Further, the cleaning flow rate prediction information 18 and the filtration flow rate prediction information 19 are also displayed on the screen. These pieces of information include at least the amount of electricity required to make a unit amount of membrane filtration water, or the cost necessary for membrane filtration of the planned amount of water.

  In the present embodiment, the driving support by displaying the calculation results has been described. However, the membrane filtration apparatus 11 is automatically operated based on the appropriate values of the filtration times tf and tv and the backwash times tb and tu obtained by the above calculation. Anyway.

  FIG. 2 shows a screen example of the display device. The display device 21 shows the current state and recommended values of the filtration flow rate, the filtration time, the backwash time, and the processing cost as an example of the operation amount. The display device may be a PC, an instrument panel, a graphic panel, an information portable terminal, or a mobile phone.

  Thus, according to Example 1, based on the current operation information of the membrane filtration treatment device 10, the recommended operation conditions of the membrane filtration treatment device 10 capable of minimizing the power cost necessary for producing the filtered water unit amount are set. It can be calculated and presented to the operator.

  A second embodiment of the present invention will be described with reference to FIG. FIG. 3 is a configuration diagram of the operation support device of the membrane filtration apparatus for performing calculation based on raw water quality information and appropriately supporting operation.

  In the present embodiment, unlike the first embodiment, one of the input information of the calculation means 17 is not the current operation information 11 of the membrane filtration apparatus, but the membrane filtration process through the raw water quality information interface 23 of the membrane filtration process. Raw water quality information 22. The interface 15 for the planned water amount information, the means 17 for calculating the operation amount for reducing the membrane filtration processing cost, the display device 21 and the input / output information are the same as those in the first embodiment and have the same functions.

  In Example 1, the parameters of the loose filtration model were identified using the membrane filtration processing apparatus current operation information 11, but in this example, among the parameters of the loose filtration model expressed by Equation 1, “unit filtrate amount” Is obtained based on the raw water quality information.

The value of the volume c of the cake is related to the turbidity of raw water, organic matter, and soluble Mn concentration. The simplest cake volume c can be obtained, for example, by Equation 12, where the turbidity of the raw water is Tu ₀ .

  Alternatively, if the turbidity of the membrane filtration water is Tuf, it can be obtained by Equation 13, and Equation 13 is more accurate.

Similarly, the value of the volume c of the cake may be estimated using the correlation with the organic matter concentration index and the soluble Mn concentration measured by the ultraviolet absorbance E260. Other water quality and temperature, there is a value of the volume c cake differ also depending on the pH, in which case it is possible to cope by identifying coefficient k _5.

Since the resistance coefficient k and the filtration constant V ₀ , which are other parameters in Equation 1, do not logically depend on the raw water quality, they can be determined at the start of operation of the membrane filtration apparatus 10 or when the membrane module is replaced. These values are given from the membrane parameter interface 24 to the means 17 for calculating the operation amount for reducing the membrane filtration treatment cost. As a result, the constants and coefficients on the right side of Equation 1 are all given, and the value of dVf / dt can be calculated as a function of the transmembrane pressure difference Pf during filtration and the filtrate total amount Vf after the start of filtration. Similarly, Equations 2 to 11 can be calculated.

  From the economical aspect, it is desirable that the value of the electricity charge Co is small. As can be seen from Equations 9 and 10, the value of the electric energy charge Co varies depending on the filtration time tf, tv, backwash time tb, tu, the discharge pressure Pfp of the filtration pump, and the discharge pressure Pbp of the backwash pump. . Among these items, the filtration times tf and tv and the backwash times tb and tu are items that are easy to change as the operation amount because there are few restrictions due to device specifications.

  Therefore, the calculation means 17 includes an optimal solution search algorithm that optimizes at least the filtration times tf and tv and the backwash times tb and tu using the electric energy charge Co as an evaluation index.

  As the search algorithm, mathematical means such as brute force method, genetic algorithm, nonlinear programming method, steepest gradient method, or the like may be used, or means for selecting an optimum one from a plurality of preset operation patterns. However, it is a precondition that the actual filtered water amount shown in Equation 7 satisfies the planned water amount information 16.

  The operation amount obtained so as to minimize the value of the electric energy charge Co is the recommended operation amount of the membrane filtration processing apparatus described in this embodiment, and the electric energy charge Co at that time corresponds to the membrane filtration processing cost information. To do.

  In this embodiment, an example of optimizing the filtration times tf and tv and backwash times tb and tu based on the loose filtration model is shown, but the present invention is not limited to this algorithm. An algorithm for calculating the same index, that is, the cost for obtaining a unit amount of membrane filtrate using past operation data, and optimizing the filtration time tf, tv and the backwash time tb, tu based on the data May be used.

  The recommended operation amount information 20 of the membrane filtration processing device thus obtained is displayed on the display device 21. The operator looks at it and adjusts the set values of the filtration time and backwash time among the operating conditions of the membrane filtration apparatus 10.

  The recommended operation amount information 20 of the membrane filtration processing device includes at least information for minimizing the cost for obtaining the unit amount of the membrane filtration water, but it is a screen that can compare other candidates and the current operation amount. If it is better. Further, the cleaning flow rate prediction information 18 and the filtration flow rate prediction information 19 are also displayed on the screen. These pieces of information include at least the amount of electricity required to make a unit amount of membrane filtration water, or the cost necessary for membrane filtration of the planned amount of water.

  Similar to the first embodiment, the membrane filtration apparatus 10 may be automatically operated based on appropriate values of the filtration times tf and tv and the backwash times tb and tu obtained by the above-described calculation.

  According to Example 2, based on the water quality information of the raw water, it is possible to present to the operator recommended operating conditions of the membrane filtration device 10 that can minimize the power cost required to produce the filtered water unit amount. Become.

  A third embodiment of the present invention will be described with reference to FIG. FIG. 4 is a configuration diagram of the operation support device of the membrane filtration apparatus based on the current operation information and raw water quality information of the present embodiment.

In the present embodiment, the current operation information 11 of the membrane filtration apparatus described in Embodiment 1 and the membrane filtration raw water quality information 22 described in Embodiment 2 are used in combination, and “resistance coefficient k” “filtration constant V ₀ ”. Identify the cake volume c obtained per unit filtrate. By increasing the information used for identification, the parameter estimation accuracy can be improved.

  For the identification, for example, “a cake volume c obtained per unit filtrate amount” obtained from values of transmembrane pressure difference and filtration flow rate at two different times and a function of turbidity or ultraviolet absorbance. There is a method of using an average value or a prorated value of the value of the cake volume c ”obtained per unit filtrate amount.

In addition, the value of “cake volume c obtained per unit filtrate amount” obtained from turbidity or ultraviolet absorbance is set as a fixed value, and “resistance coefficient k” is calculated from the values of transmembrane pressure difference and filtration flow rate at two different times. ”And“ filtration constant V ₀ ”can be obtained.

  Using these values, equations 1 to 11 are calculated. By using the optimum solution search algorithm provided in the calculation means 17, it is possible to calculate the filtration times tf and tv and the backwash times tb and tu that minimize the value of the electric energy charge Co. However, it is a precondition that the actual filtered water amount shown in Equation 7 satisfies the planned water amount information 16. The operation amount obtained so as to minimize the value of the electric energy charge Co corresponds to the recommended operation amount of the membrane filtration apparatus described in the present embodiment.

  According to the third embodiment, it is possible to output the membrane filtration processing device recommended operation amount 20, the cleaning flow rate prediction information 18, and the filtration flow rate prediction information 19 that simulate the reality more accurately.

  A fourth embodiment of the present invention will be described with reference to FIG. FIG. 5 is a configuration diagram of an operation support device of a membrane filtration apparatus for operation support based on current operation information, raw water quality information, and maintenance information.

  In addition to the power cost, the cost for the membrane filtration treatment includes chemical cleaning cost generated by chemical cleaning of the membrane. Further, in the long term, the replacement work of the membrane module occurs, and the replacement work of the membrane module is costly. In this embodiment, the amount of operation operation that minimizes the cost is presented to the operator in consideration of the maintenance information 41 of the membrane filtration processing apparatus including the chemical cleaning cost and the membrane module replacement cost. .

  The maintenance information 41 of the membrane filtration apparatus may be automatically input from a database or the like via a line, or may be input by the operator via the interface 40 of the membrane filtration apparatus. Here, as examples of the maintenance information 41 of the assumed membrane filtration processing apparatus, (1) chemical cleaning frequency: once every x months, (2) chemical cleaning cost: xxx 10,000 yen / time, (3) membrane Module replacement time: After x years, (4) Membrane module replacement cost: xxx 10,000 yen / time.

  In addition to the electricity charge Co required to obtain the unit amount of membrane filtrate, the operation and maintenance cost Co_total considering the chemical cleaning cost and the membrane module replacement cost is expressed by Equation 14.

  Here, Co_chem is a chemical cleaning cost, Tchem is a chemical cleaning interval, Co_chg is a membrane module replacement cost, and Tchg is a membrane module replacement interval.

  When the chemical cleaning interval and the membrane module replacement interval are constant, the operation maintenance management cost Co_total shown in Equation 14 is output to the display device 21 as membrane filtration processing cost information.

  An optimum solution search algorithm for the filtration time tf and the backwash time tb using the operation maintenance cost Co_total as an evaluation index is provided in the means 17 for calculating the operation amount for reducing the membrane filtration processing cost. As the search algorithm, mathematical means such as brute force method, genetic algorithm, nonlinear programming method, steepest gradient method, or the like may be used, or means for selecting an optimum one from a plurality of preset operation patterns. However, it is a precondition that the actual filtered water amount shown in Equation 7 satisfies the planned water amount information 16. The recommended operation amount of the membrane filtration apparatus described in this embodiment corresponds to the operation amount obtained so as to minimize the value of the operation and maintenance cost Co_total.

  Thus, in Example 4, in addition to the power cost, it is possible to present information on the membrane filtration processing cost considering the membrane module replacement cost and the chemical cleaning cost to the operator.

  A fifth embodiment of the present invention will be described with reference to FIG. FIG. 6 is a configuration diagram of the operation support device of the membrane filtration processing apparatus that supports the operation of the membrane filtration processing apparatus and displays the chemical cleaning time by calculation based on the current operation information, raw water quality information, and maintenance information. .

  In the present embodiment, when the chemical cleaning interval is not fixed, the continuous function, in which the time change of the transmembrane pressure difference immediately after the backwashing process is modeled by the chemical cleaning time prediction means 50, membrane filtration Using a continuous function that models the temporal change in the transmembrane pressure difference immediately after the chemical cleaning of the membrane in the processing apparatus, the predicted chemical cleaning time of the membrane in the membrane filtration processing apparatus is predicted and output. In addition, the amount of operation of the membrane filtration device including the chemical cleaning cost will be optimized.

  Examples of maintenance information 41 of the assumed membrane filtration processing apparatus include: (1) Chemical cleaning time: when the transmembrane pressure difference immediately after the backwashing process exceeds a predetermined value, (2) Chemical purchase + waste liquid Processing cost: xxx 10,000 yen / time.

  When chemical cleaning is performed based on the transmembrane differential pressure immediately after backwashing, the frequency of chemical cleaning can be reduced by performing filtration and backwashing operations so that the transmembrane differential pressure immediately after backwashing does not increase as much as possible. It is possible to reduce the chemical cleaning cost.

  An operation in which the transmembrane pressure difference immediately after backwashing does not increase as much as possible can be realized by constructing a “transmembrane pressure differential prediction model immediately after backwashing” and following the prediction calculation using that model. An example of this “transmembrane differential pressure prediction model immediately after backwashing” will be described below.

  FIG. 7 is an explanatory diagram of a filtration flow rate model immediately after backwashing. FIG. 7 (1) schematically shows the change in the transmembrane pressure difference of the membrane filtration apparatus performing quantitative filtration. In the filtration process, the transmembrane pressure difference increases as the filtration time elapses. However, the transmembrane pressure difference temporarily decreases because the cake attached to the membrane surface is removed after the backwash process. The transmembrane pressure difference immediately after this backwashing becomes the initial value of the next filtration step, and the transmembrane pressure difference increases again as the filtration time elapses.

  However, even if backwashing is performed, deposits gradually accumulate on the membrane surface or pores. Due to this influence, there is variation, but the transmembrane pressure difference immediately after backwashing gradually increases. In general, chemical cleaning is performed when the transmembrane pressure difference immediately after backwashing exceeds a set value, but there is no guarantee that the set value is optimal in view of the overall cost.

  The transmembrane pressure difference immediately after backwashing takes a discrete value as shown in FIG. If there is a function that can simulate this discrete value as a mathematical expression, the future “transmembrane pressure difference immediately after backwashing” can be predicted. It is possible to switch between the filtration time and the backwash time so that the entire cost can be minimized when the transmembrane pressure difference exceeds a set value in the separation time. It is also possible to output the predicted time for chemical cleaning.

  FIG. 7 (3) shows a schematic diagram of a continuous function for predicting “transmembrane differential pressure immediately after backwashing”. The phenomenon in which accumulated substances that cannot be removed by the backwashing process gradually accumulate on the membrane surface is similar to the mechanism by which cake accumulates on the membrane surface during the filtration process. Therefore, for example, models assuming the same type of equations as the loose filtration model shown in Equation 1 are constructed in Equations 15 and 16.

Here, Vfb filtration flow rate immediately after backwashing, A is membrane area, k ₇ is resistance coefficient, Pfb the transmembrane pressure just after backwashing, c & apos is strongly adherent cake ratio units filtrate volume, mu water Vfsum is the total amount of filtrate after the previous chemical cleaning, and V ₀ is the filtration constant.

The “resistance constant k ₇ ”, “filtration constant V ₀ ”, and “strong adhesion cake ratio c & apos” with respect to the unit filtrate amount are the current operation information 11 of the membrane filtration apparatus, the raw water quality of the membrane filtration process Identification can be made using at least one of the information 22. As a result, Equation 15 is a function indicating the relationship between the filtration flow rate after backwashing, the transmembrane pressure difference, and the total filtrate amount. Accordingly, the “transmembrane differential pressure immediately after backwashing” can be predicted and the time Tchem until the transmembrane differential pressure immediately after backwashing reaches a predetermined value can also be obtained.

  The above calculation algorithm is presented to the operator via the chemical cleaning time prediction means 50 and the calculation means 17.

The value of the transmembrane pressure difference immediately after backwashing changes due to the presence of a strong adhesive cake that cannot be removed by the backwashing process. Therefore, the “filtration resistance coefficient k” or “filtration constant” of Equation 1 simulating the phenomenon during subsequent filtration. The value of “V ₀ ” also changes each time. Based on the predicted value of “transmembrane differential pressure immediately after backwashing” calculated by Equation 15, “filtration resistance coefficient k” or “filtration constant V ₀ ” can be estimated.

For example, assume that the predicted value of “transmembrane pressure difference immediately after backwashing” is 1.01 times the previous value. For the sake of simplicity, if this is all passed to the “filtration resistance coefficient k” of Equation 1, it can be considered that the value of k has increased 1.01 times. This ratio is the same even in the backwashing process, and it can be considered that the value of the “resistance coefficient k ₃ during backwashing” in Equation 4 describing the backwashing process is also 1.01 times. By calculating using the value of this coefficient, the electric energy charge Co required to obtain the unit amount of membrane filtrate water can be calculated. In addition to this, the operation and maintenance cost Co_pow_chem considering the chemical cleaning cost can be obtained by Equation 17.

  The value of the operation and maintenance cost Co_pow_chem varies depending on the filtration time tf and the backwash time tb, but it is desirable that this value is small from the viewpoint of economy.

  Therefore, the calculation means 17 includes an optimum solution search algorithm for the filtration times tf and tv and the backwash times tb and tu. As the search algorithm, mathematical means such as brute force method, genetic algorithm, nonlinear programming method, steepest gradient method, or the like may be used, or means for selecting an optimum one from a plurality of preset operation patterns. However, it is necessary that the actual filtered water amount expressed by Equation 7 satisfies the planned water amount information 16.

  As described above, according to the fifth embodiment, it is possible to present to the operator the optimum operating conditions that comprehensively consider the chemical cleaning cost and the power cost, and the predicted timing of chemical cleaning.

  A sixth embodiment of the present invention will be described with reference to FIG. FIG. 8 shows the operation of the membrane filtration processing device operation support device that displays the chemical cleaning time and the membrane replacement time as well as supporting the operation of the membrane filtration processing device by calculation based on the current operation information, raw water quality information and maintenance information. It is a block diagram.

  In this embodiment, when the membrane module replacement interval is not fixed in the membrane filtration apparatus, the membrane replacement time predicting means 60 predicts and displays the next replacement time, and includes the membrane module replacement cost. Optimize the amount of operation of the membrane filtration device.

  Examples of the assumed membrane filtration treatment device maintenance information 41 are: (1) Membrane module replacement time: when the transmembrane pressure difference immediately after chemical cleaning exceeds a predetermined value, (2) Membrane module replacement cost: xxx 10,000 yen / time.

  When replacing a membrane module based on the transmembrane differential pressure immediately after chemical cleaning, the operation to prevent the transmembrane differential pressure immediately after chemical cleaning from increasing as much as possible is the "transmembrane differential pressure prediction model immediately after chemical cleaning" Can be realized by using the prediction calculation using the model. An example of this “transmembrane pressure difference prediction model immediately after chemical cleaning” will be described below.

  FIG. 9 is an explanatory diagram of a filtration flow rate model immediately after chemical cleaning. FIG. 9 (1) schematically shows a temporal change in transmembrane pressure difference after chemical cleaning. When the membrane filtration treatment device is operated by repeating the filtration step and backwashing step, the transmembrane pressure difference increases with the operating time, but the cake adhering to the membrane surface is removed after the chemical washing step. The transmembrane pressure decreases once.

  The transmembrane pressure difference immediately after this chemical cleaning becomes the initial value of the next filtration step, and the transmembrane pressure pressure increases as the filtration time elapses again.

  However, even when chemical cleaning is performed, the pressure difference between the membranes immediately after chemical cleaning gradually increases, although there is a variation due to the effect of deposits gradually accumulating on the membrane surface or pores. In general, when the transmembrane pressure difference immediately after chemical cleaning exceeds a set value, the membrane is replaced. However, there is no guarantee that the set value is an optimum value in view of the overall cost.

  The transmembrane pressure difference immediately after chemical cleaning becomes a discrete value as shown in FIG. 9 (1). If there is a continuous function that can simulate this discrete value as a mathematical expression, the future "transmembrane differential pressure immediately after chemical cleaning" can be predicted, so that the filtration time that minimizes the overall cost in anticipation of the future, The backwash time can be determined by calculation. It is also possible to output the predicted time for membrane module replacement.

  A schematic diagram of a continuous function for predicting “transmembrane pressure difference immediately after chemical cleaning” is shown in FIG. The phenomenon that accumulations that cannot be removed by the chemical cleaning process gradually accumulate on the membrane surface is similar to the mechanism by which cake accumulates on the membrane surface during the filtration process. Therefore, for example, models assuming the same type of equations as the loose filtration model expressed by Equation 1 are constructed by Equations 18 and 19.

Here, Vf_chem is a filtration flow rate immediately after chemical cleaning, A is a membrane area, k ₈ is a resistance coefficient, Pf_chem is a transmembrane pressure difference immediately after chemical cleaning, c &apos;&apos; is a chemical-resistant cake ratio per unit filtrate amount, μ is the viscosity coefficient of water, Vf_total is the total amount of filtrate after the start of use of the membrane module, and V ₀ is the filtration constant.

“Resistivity coefficient k ₈ ”, “Filtration constant V ₀ ”, and “Chemical resistance cake ratio c &apos;&apos;” per unit filtrate amount are the current operation information 11 of the membrane filtration apparatus, membrane filtration. Identification can be made using at least one of the treated raw water quality information 22. "Because the value of the transmembrane pressure difference immediately after chemical cleaning changes, the transmembrane differential pressure immediately after backwashing" can be calculated, and the transmembrane differential pressure immediately after chemical cleaning can reach a certain value. The time Tchg can also be obtained.

  The above calculation algorithm is provided in the membrane exchange time prediction means 60 and the calculation means 17. The obtained membrane exchange prediction time information 61 is presented to the operator via the display device 21.

Since the value of the transmembrane differential pressure after chemical cleaning changes due to the presence of a chemical-resistant cake that cannot be removed by chemical cleaning, the “resistance coefficient k ₇ ” of Equation 14 describing the transmembrane differential pressure immediately after backwashing or The value of “Filtration constant V ₀ ” can be estimated.

Based on the predicted value of “transmembrane differential pressure immediately after chemical cleaning”, the value of “resistance coefficient k ₇ ” in Expression 14 can be estimated. For example, assume that the predicted value of “transmembrane differential pressure immediately after chemical cleaning” is 1.01 times the previous value. For simplification, if this is all passed to “resistance coefficient k ₇ ” of Equation 14, it can be considered that the value of k ₇ is 1.01 times the previous value. By calculating using the value of this coefficient, it is possible to calculate the electric energy charge Co required to obtain the unit amount of membrane filtrate. In addition to this, the operation and maintenance cost Co_total in consideration of the chemical cleaning cost and the membrane module replacement cost is expressed by Equation 20.

  Here, Co_chem is the chemical cleaning cost, Tchem is the chemical cleaning frequency, Co_chg is the membrane module replacement cost, and Tchg is the membrane module replacement frequency.

  The value of the operation and maintenance cost Co_total varies depending on the set values of the filtration times tf and tv and the backwash times tb and tu, but is preferably small in terms of economy. Therefore, the calculation means 17 includes an optimum solution search algorithm for the filtration times tf and tv and the backwash times tb and tu.

  As the search algorithm, mathematical means such as brute force method, genetic algorithm, nonlinear programming method, steepest gradient method or the like may be used, or means for selecting an optimal one from a plurality of preset operation patterns may be used. However, it is a precondition that the actual filtered water amount represented by Equation 7 satisfies the planned water amount information 16.

  As described above, according to the present embodiment, it is possible to present to the operator the optimum operating conditions and the expected replacement time of the membrane module in consideration of the membrane module replacement cost, the chemical cleaning cost, and the power cost. Become.

  A seventh embodiment of the present invention will be described with reference to FIG. FIG. 10 is a configuration diagram of the operation support device of the membrane filtration treatment device that supports the operation of the membrane filtration treatment device and the pretreatment device in the previous stage by calculation based on the current operation information and the raw water quality information of the pretreatment device raw water.

  The membrane filtration apparatus 10 may be used alone, but in the case of a water purification plant that takes raw water from surface water such as rivers, the agglomeration process, the aggregation precipitation process, the aggregation precipitation filtration process, and the high-speed fiber filtration process. It is often used in combination with a pretreatment device 81 having the ability to remove turbidity.

  The turbidity can be removed by either the pretreatment device 81 or the membrane filtration processing device 10, so that the pretreatment device 81 sufficiently removes the turbidity to reduce the water quality load on the membrane filtration treatment device 10 or the pretreatment device 81 reduces the treatment. However, there are options for the operation method such as a method of applying a load to the membrane filtration apparatus 10. In the present embodiment, load distribution between the pretreatment device 81 and the membrane filtration treatment device 10 is optimized so that the total processing cost of the entire plant is minimized.

  The raw water quality information flowing into the pretreatment device 81 is converted into the raw water quality information 71 of the pretreatment device through the interface 70 of the raw water quality information of the pretreatment device. 76.

  Specific examples of raw water quality information include turbidity, water temperature, and dissolved organic matter concentration. The water quality information is given to the interface 70 of the raw water quality information of the pretreatment device depending on whether it is input by an operator or electronic information of an automatic measuring device.

  The algorithm used in the water quality and cost calculation means 76 of the pretreatment device may be an algorithm that is calculated based on a previously stored table, or may be a calculation algorithm based on a simulator that models a physicochemical phenomenon. The outlet water quality information 74 of the pretreatment device is the same as the raw water quality information of the membrane filtration treatment device 10 and is input to the raw water quality information interface 70 of the membrane filtration treatment water.

  On the other hand, the preprocessing cost information 75 is given to the comprehensive processing cost determining means 77. In addition to this, the total processing cost determination means 77 given the membrane filtration processing cost information 20 determines whether the sum of the preprocessing cost information 75 and the membrane filtration processing cost information 20 is the minimum cost. Then, the recommended driving operation amount information 79 of the preprocessing device that changes the operating conditions of at least the preprocessing device 81 is calculated and output so that the sum becomes smaller. Preferably, the recommended operation amount 82 of the membrane filtration processing device whose content is to change the operating conditions of the membrane filtration processing device 10 is calculated and output. The display device 21 displays recommended operation amount information 79 of the pretreatment device and recommended operation amount information 82 of the membrane filtration device.

  As described above, according to the present embodiment, the pretreatment device 81 and the membrane filtration treatment device 10 can be operated in a comprehensive manner so that the pretreatment device 81 and the membrane filtration treatment device 10 can be minimized. Can be obtained.

  An eighth embodiment of the present invention will be described with reference to FIG. FIG. 11 is a configuration diagram of the operation support device of the membrane filtration treatment device that supports the operation of the membrane filtration treatment device and the preceding coagulation sedimentation treatment device based on the current operation information and the raw water quality information of the coagulation sedimentation treatment device. is there.

  Although the membrane filtration processing apparatus 10 may be used independently, in the case of the water purification plant which takes raw water from surface waters, such as a river, it may be used in combination with the existing coagulation sedimentation processing apparatus. In this embodiment, load distribution between the coagulation sedimentation treatment and the membrane filtration treatment is optimized so that the total processing cost is minimized.

  The quality information of the raw water flowing into the coagulation sedimentation treatment apparatus 101 is obtained by using the raw water quality information 91 of the coagulation sedimentation treatment apparatus digitized via the interface 90 of the raw water quality of the coagulation sedimentation treatment apparatus. To the calculation means 96. Specific examples of raw water quality information include turbidity, water temperature, and dissolved organic matter concentration. There are cases where the operator inputs the electronic information of the automatic measuring device and the method of giving the water quality information to the interface 90 of the raw water quality information of the coagulation sedimentation processing apparatus.

  The calculation means 96 is provided with the planned water quantity information 16 from the interface 15 of the planned water quantity information, and the calculation means 96 is provided with the operation condition information 93 of the coagulation sedimentation treatment apparatus from the operation condition setting means 92 of the coagulation sedimentation treatment apparatus. It is done. The calculation means 96 outputs the outlet water quality information 94 and the coagulation sedimentation treatment cost information 95 of the coagulation sedimentation processing device based on the raw water quality information 91, the planned water amount information 16 of the coagulation sedimentation processing device, and the operating conditions 93 of the coagulation sedimentation processing device. The The algorithm of the calculation means 96 may be an algorithm that calculates based on a table stored in advance, or a calculation algorithm based on a simulator that models a physicochemical phenomenon. The outlet water quality information 94 of the coagulation sedimentation treatment device is the same as the raw water quality information of the membrane filtration treatment device 10 and is given to the interface 23 of the water source water quality information of the membrane filtration treatment.

  On the other hand, the coagulation sedimentation processing cost information 95 is given to the comprehensive processing cost judgment means 77. In addition to this, the comprehensive processing cost determination means 77 given the membrane filtration processing cost information 20 determines whether the sum of the preprocessing cost information 75 and the membrane filtration processing cost information 20 is the minimum cost. The recommended driving operation amount information 79 of the preprocessing device that changes the operating conditions of at least the preprocessing device 81 is calculated and output so that the sum becomes smaller. Preferably, the recommended operation amount 82 of the membrane filtration processing device whose content is to change the operating conditions of the membrane filtration processing device 10 is displayed.

  Thus, according to the present embodiment, the pretreatment device 81 and the membrane filtration treatment device 10 can be operated in such a manner that the pretreatment and the membrane filtration treatment can be comprehensively grasped and the treatment cost of the whole water purification treatment system can be minimized. It is possible to obtain conditions.

  In addition, the total processing cost determination means 77 to which the membrane filtration processing cost 20 is given in addition to the aggregation precipitation processing cost information 95 is the sum of the aggregation precipitation processing cost information 95 and the membrane filtration processing cost information 20. You may make it judge. Then, the recommended operation amount 99 of the coagulation sedimentation processing device having the content of changing at least the operating conditions of the coagulation sedimentation processing device 101 is calculated and output so that the sum becomes smaller. The display device 21 displays a recommended operation amount 99 for the coagulation sedimentation treatment device and a recommended operation amount 82 for the membrane filtration treatment device.

  By doing in this way, the operating conditions of the coagulation sedimentation treatment apparatus 101 and the membrane filtration treatment apparatus 10 that can comprehensively grasp the coagulation sedimentation treatment and the membrane filtration treatment, and can minimize the processing cost of the entire water purification treatment system. It can be obtained.

  As described above, according to each embodiment, water operation in a water purification plant having membrane filtration treatment is managed on a daily basis, and a filtration process with low power consumption is determined along with the water demand forecast, During the daytime when the electricity rate is high and the water level of the reservoir is kept high at night, the washing process with high power consumption is done at night when the electricity rate is low, and it is stored during the daytime membrane filtration operation. It is possible to distribute the purified water and reduce the power consumption used for the membrane filtration process on a daily basis.

  In addition, it is possible to realize an operation support apparatus that can reduce the processing cost for operation control of the membrane filtration apparatus to the maximum.

  Since the power consumption in the membrane filtration process is considered on a daily basis, the power consumption in the membrane filtration process can be reduced as much as possible by considering the operation of the filtration process of the membrane filtration process and the washing process according to time zones.

The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 1 of this invention. The top view which shows the example of a screen output of the driving assistance apparatus of a membrane filtration processing apparatus. The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 2 of this invention. The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 3 of this invention. The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 4 of this invention. The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 5 of this invention. Explanatory drawing of the filtration flow rate model immediately after backwashing. The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 6 of this invention. Explanatory drawing of the filtration flow rate model immediately after chemical | medical agent washing | cleaning. The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 7 of this invention. The block diagram of the driving assistance apparatus of the membrane filtration processing apparatus which is Example 8 of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Membrane filtration processing device 12, 15, 23, 40, 70, 90 Interface 14 Reservoir monitoring device 17, 76, 96 Calculation means 21 Display device 50, 60 Prediction means 72, 92 Operating condition setting means 77 Determination means 81 Before Processing device 101 Coagulation sedimentation processing device

Claims (8)

  The current operation information of the membrane filtration processing device including the transmembrane differential pressure and filtration flow rate of the membrane filtration processing device that filters raw water, the water level information of the distribution reservoir, and the planned water volume information given in advance, which are input via the interface Based on the rate of increase in the transmembrane pressure difference during filtration or the rate of decrease in filtration flow rate from the past obtained from the past, and the planned water volume information, the washing process with large power consumption can be performed at night when the power rate is low. Calculation means to calculate the recommended operation amount of the membrane filtration processing device including at least the filtration time and the recommended operation amount of the cleaning treatment device including at least the cleaning time when the small filtration process is operated in the daytime when the electricity rate is high Operation support device for the membrane filtration device provided.   The current operation information of the membrane filtration processing device including the transmembrane differential pressure and filtration flow rate of the membrane filtration processing device that filters raw water, the water level information of the distribution reservoir, and the planned water volume information given in advance, which are input via the interface Based on the increase rate from the past of the transmembrane pressure difference at the time of filtration obtained from the above or the decrease rate of the filtration flow rate from the past, the planned water volume information, at least the recommended operation amount of the membrane filtration treatment device including the filtration time, and at least When the recommended operating amount of the cleaning processing device including the cleaning time, the membrane filtration processing cost information that is the operating cost of the membrane filtration processing device when the recommended operating amount of the membrane filtration processing device, and the recommended operating amount of the cleaning processing device Calculating means for calculating cleaning processing cost information which is the operating cost of the cleaning processing apparatus, the membrane filtration processing cost information calculated by the calculating means, the cleaning processing cost, the recommended operation amount of the membrane filtration processing apparatus, and the cleaning processing apparatus Guess Driving support apparatus of the membrane filtration treatment apparatus having a display device for displaying the operating variable to the screen.   From the current operation information from the filtration processing device, the planned water volume information given in advance, the interface for inputting the reservoir water level information taken from the water reservoir, and the information input via the interface, membrane filtration Filtration flow prediction information by processing, cleaning flow prediction information by membrane cleaning processing, membrane filtration processing cost prediction information, and cleaning processing prediction information are calculated. Using the loose model for total flow filtration, calculate the predicted water distribution based on the daily average water distribution over the past 5 days when it is preferentially performed during the high daytime and the cleaning process is performed at night. Calculate the filtration flow rate per unit time for the transmembrane pressure difference during filtration, calculate the filtration power consumed by the pressure pump by the filtration flow rate, calculate the power consumption of the backwash pump during backwashing, and filter Driving support apparatus of the membrane filtration treatment device provided with a calculation means for calculating the power amount necessary extent to consist washing process cycle.   The calculation means calculates the switching time between daytime and nighttime contract power rates, the degree of divergence between the water distribution prediction value and the water distribution actual measurement value, the filtration process due to the abnormal water level in the water reservoir, or the state at the time of emergency switching of the cleaning process The operation support apparatus for a membrane filtration apparatus according to claim 3, further comprising an optimal solution search algorithm such as a filtration time and a backwash time using the power rate as an evaluation index.   Inflow raw water quality information including raw water turbidity or ultraviolet absorbance, raw water quality information provided in advance, planned water volume information given in advance, an interface for inputting a predetermined membrane resistance coefficient and filtration coefficient, and the interface The membrane filtration process including at least a filtration time based on a turbidity or a function of the ultraviolet absorbance based on the turbidity or the ultraviolet absorbance of the raw water and the planned water amount information input via Calculate the recommended operating amount of the apparatus and the recommended operating amount of the cleaning processing apparatus including at least the cleaning time, and the membrane filtration processing cost information when the recommended operating amount of the membrane filtration processing apparatus and the recommended operating amount of the cleaning processing apparatus A table for displaying a calculation means for calculating the cleaning treatment cost at the time, the membrane filtration treatment cost information, the cleaning treatment cost, and the recommended operation amount of the membrane filtration treatment device Driving support apparatus of the filtering processing apparatus including apparatus and, a.   The interface inputs maintenance information of the membrane filtration processing apparatus including at least either the chemical cleaning cost or the membrane module replacement cost, and the calculation means includes at least the planned water amount information and the membrane filtration processing apparatus. The membrane filtration processing device according to claim 1 or 2, wherein the recommended operation amount of the membrane filtration processing device including at least the filtration time and the recommended operation amount of the cleaning treatment device including at least the cleaning time are calculated based on the maintenance information. Driving assistance device.   A pretreatment device having the ability to remove turbidity is provided in the previous stage of the membrane filtration treatment device, and the interface inputs information on the quality of the influent raw water, and the operating conditions of the pretreatment device The preconditioning device operating condition setting means and the calculating means are configured to control the pretreatment device outlet based on the planned water volume information, the inflow raw water quality information of the pretreatment device, and the preconditioning device operating condition information. When the water quality and the pretreatment cost by the pretreatment device are calculated, and it is determined whether the sum of the pretreatment cost calculated by the calculation means and the membrane filtration treatment cost is an optimum value, and is not the optimum value The total processing cost judgment means for outputting an operating condition setting change signal for changing the operating condition setting to at least the pretreatment device operating condition setting means, and the sum of the pretreatment cost and the membrane filtration processing cost is an optimum value. Before Driving support apparatus of the membrane filtration apparatus according to claim 1 or 2 for displaying driving operation amount information of the pretreatment device.   A flocculation / precipitation treatment device is provided in the preceding stage of the membrane filtration treatment device, and the interface inputs information on the quality of the raw water flowing into the flocculation / precipitation treatment device, and the calculation means includes the calculation means, Based on the operation condition setting means of the coagulation sedimentation treatment device for setting the operation conditions of the coagulation sedimentation treatment device, the planned water amount information, the inflow raw water quality information of the coagulation sedimentation treatment device, and the operation condition information of the coagulation sedimentation treatment device, Calculate the water quality at the outlet of the coagulation sedimentation processing device and the processing cost by the coagulation sedimentation processing device, and output the setting change signal of the coagulation sedimentation processing condition to change the operation condition setting to the operating condition setting means of the coagulation sedimentation processing device A total processing cost judging means, and when the total processing cost of the coagulation sedimentation processing device and membrane filtration processing cost is an optimum value by the total processing cost judgment means, the operation operation of the coagulation sedimentation processing device Driving support apparatus of the membrane filtration apparatus according to claim 1 or 2 for displaying information on the screen.

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