JP2007185648A - Method for deciding operation condition of membrane filtration apparatus, method for operating membrane filtration apparatus by using the method and membrane filtration apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method for deciding operation conditions of a membrane filtration apparatus by which the operation condition of a pressure regulating means for regulating membrane filtration pressure, that of a flow rate regulating means for regulating a membrane filtration flow rate and that of a component content regulating means for regulating the content of a certain component of the liquid to be filtered are decided according to the membrane filtration performance and membrane filtration conditions and the liquid to be filtered is filtered by a separation membrane on the basis of the decided operation condition values, so that the separation membrane can be used over a long period of time. <P>SOLUTION: The method for deciding operation conditions of the membrane filtration apparatus comprises the steps of: predicting the fluctuation of the content of the component stuck to the separation membrane, that of the membrane filtration pressure, that of the membrane filtration flow rate, that of a membrane filtration flux or that of membrane resistance from data showing the kind of the component of the liquid to be filtered and time-series changes of the content of the component, data showing time-series changes of the membrane filtration flow rate and/or data showing time-series changes of the membrane filtration pressure; and deciding the operation condition of the pressure regulating means, the flow rate regulating means or the component content regulating means on the basis of the predicted results. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a method for determining the operating conditions of a membrane filtration device for filtering a liquid through a separation membrane, a method for operating a membrane filtration device using the same, and a membrane filtration device, and more particularly, activated sludge, microbial culture solution, etc. A method for determining the operating conditions of a membrane filtration device characterized by separating the solid and liquid by membrane filtration, the operating method of the membrane filtration device based thereon, and the membrane filtration having means for controlling the operation based on the operating conditions Relates to the device.

  As a method for filtering a liquid through a separation membrane, there is a method in which a liquid to be filtered is brought into contact with a separation membrane, and a filtrate is obtained by setting the filtered liquid side to a positive pressure or the permeate side to a negative pressure. In this membrane filtration step, non-membrane permeable substances contained in the liquid to be filtered accumulate on the membrane surface, and the accumulated substances cause an increase in membrane resistance. As the membrane resistance increases, the pressure required to filter the membrane increases, so when acquiring membrane filtrate at a constant membrane filtration flow rate (constant membrane filtration flux), the transmembrane differential pressure increases, When the filtrate is obtained at a constant membrane filtration pressure, the membrane filtration flow rate (membrane filtration flux) will decrease. When such an increase in transmembrane pressure and a decrease in the membrane filtration flow rate occur, it becomes increasingly difficult to operate the membrane filtration device, and it becomes necessary to wash and replace the separation membrane.

  The degree of such an increase in membrane resistance is closely related to the concentration of the non-membrane permeable substance contained in the liquid to be filtered. That is, generally, if the concentration of the non-membrane permeable substance contained in the filtrate is increased, the degree of increase in the membrane resistance per unit filtration flow rate is increased, and the concentration of the non-membrane permeable substance contained in the filtrate is increased. The smaller the degree of increase in membrane resistance per unit filtration flow, the smaller. However, if the concentration of the non-membrane permeable substance contained in the liquid to be filtered is too small, other problems may occur. For example, when diluting water is added to the filtrate to reduce the concentration of non-membrane-permeating substances contained in the filtrate, the flow rate to be membrane-filtered as a whole increases, and membrane filtration takes time There is. In addition, when the membrane filtration device is a wastewater treatment device using a membrane separation type activated sludge method, the volume load (the load of organic matter per unit volume) is the microbial concentration of the activated sludge that is the filtrate (microorganisms are non-membrane permeable substances) Affected by. Generally, as the microbial concentration increases, the volume load increases and the amount of wastewater that can be treated per unit volume increases. Therefore, in the case of a wastewater treatment apparatus using a membrane separation type activated sludge method, it is desirable to keep the microbial concentration as high as possible. That is, there is a problem that when the microorganism concentration is decreased in order to suppress the increase in membrane resistance, the volume load is decreased. In addition, when adjusting the microbial concentration by discharging activated sludge from the tank, the discharged activated sludge becomes waste, so we want to operate without discharging activated sludge as much as possible for cost reduction and low environmental load. There is also a request. Thus, in a membrane filtration device for membrane filtration of the filtrate to be filtered, it is important to adjust the concentration of the non-membrane permeable substance contained in the filtrate to be filtrated. By appropriately adjusting, the membrane filtration apparatus can be properly operated, for example, the separation membrane can be used for a long period of time.

  In view of the above viewpoint, for example, Patent Document 1 discloses a method for adjusting the concentration of the non-membrane permeable substance contained in the liquid to be filtered. That is, Patent Document 1 uses a sludge as a liquid to be filtered, measures a viscosity index of the sludge or a physical index correlated with the viscosity coefficient, and determines a sludge extraction amount based on the measured value. A separation device is disclosed.

  In addition, in a membrane filtration device for membrane filtration of a liquid through a separation membrane, if the membrane filtration flow rate per unit area of the separation membrane, that is, the membrane filtration flux can be maintained constantly high, to obtain a membrane filtrate with a constant flow rate Therefore, the required membrane area can be reduced, so that the installation area of the membrane filtration device can be saved and the membrane equipment cost can be reduced. However, if the membrane filtration flux is set high or the membrane filtration pressure, which is the membrane filtration driving force, is set high to maintain the high membrane filtration flux, the non-membrane permeable substance contained in the liquid to be filtrated is applied to the membrane surface. It is easy to accumulate, and the accumulated substance causes an increase in film resistance. As membrane resistance increases, it is necessary to increase the pressure required to filter the membrane, and when obtaining membrane filtrate at a constant membrane filtration flow rate (constant membrane filtration flux) When the pressure rises and the membrane filtrate is obtained at a constant membrane filtration pressure, the membrane filtration flow rate (membrane filtration flux) will be reduced. When such an increase in transmembrane pressure or a decrease in the membrane filtration flow rate occurs, it becomes difficult to operate the membrane filtration device, so that it is necessary to wash or replace the separation membrane. Therefore, it is necessary to appropriately adjust the membrane filtration pressure and the membrane filtration flow rate in order to increase the efficiency of the trial operation of the membrane filtration device and to stabilize the operation.

  In view of the above viewpoint, as a conventional method for determining the membrane filtration pressure and the membrane filtration flow rate, a method based on the experience and intuition of engineers and operators has been mainly employed.

  In addition, as another method for determining the membrane filtration flow rate, for example, in the membrane filtration treatment that repeats quantitative filtration treatment and membrane washing treatment, the filtration rate is determined by calculation from the initial characteristics of the filtration membrane, the characteristics of the filter cake, etc. A method to do this has been proposed (Patent Document 2).

Japanese Patent Laid-Open No. 9-75938 JP 2004-329982 A

  However, the membrane filtration method performed using the membrane separation apparatus described in Patent Document 1 has the following problems. Even if the sludge viscosity coefficient or the physical index correlated with the viscosity coefficient is measured and the amount of sludge extraction is determined based on this measured value, it takes time until the viscosity coefficient decreases after the sludge is actually extracted. Therefore, the criteria for determining the amount of sludge withdrawn were unclear. In addition, the viscosity coefficient and the amount of non-membrane permeable substance contained in the sludge are not necessarily correlated, and there is a problem that sufficient effects may not be exhibited. In addition, the increase in membrane resistance is not dependent only on the viscosity coefficient of sludge, but also on membrane filtration conditions (membrane filtration flux, transmembrane pressure difference, degree of membrane surface cleaning, etc.). Regardless, there were problems that were not taken into account.

  In addition, the method of determining the membrane filtration pressure and membrane filtration flow rate based on the experience and intuition of engineers and operators often adjusts in anticipation of a high safety factor so that it can respond to changes in sludge properties. There was a problem that it would be operated under low efficiency.

  In addition, various sludge is contained in actual sludge, and its membrane filtration property changes with time. However, in the method for determining the membrane filtration flow described in Patent Document 2, the membrane filtration flow is always constant. In addition, since it is a precondition that the sludge properties are unchanged, it is difficult to apply to actual operation of a membrane filtration apparatus.

  In order to solve the above-mentioned problem, it is essential that the method for determining the operating conditions of the membrane filtration device of the present invention has any of the following configurations.

  (1) At least a separation membrane, a pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, and a flow rate of the membrane filtrate obtained by the pressure generating means (hereinafter referred to as a membrane) Operation of a membrane filtration device that uses a membrane filtration device having a flow rate adjusting means for adjusting the filtration flow rate), filters the filtrate to be filtered through the separation membrane, and adjusts the membrane filtration flow rate simultaneously or sequentially with filtration. It is a method for determining the conditions, and from the data representing the type and amount of component of the liquid to be filtered and the time-series change in the membrane filtration flow rate, the fluctuation of the amount of component adhering to the separation membrane, A method for determining operating conditions of a membrane filtration apparatus, comprising predicting fluctuations in membrane filtration pressure or fluctuations in membrane resistance and determining operating conditions of the flow rate adjusting means based on the prediction result.

  (2) At least the separation membrane, pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, and the pressure difference generated by the pressure generating means (hereinafter referred to as membrane filtration pressure) The membrane filtration apparatus having a pressure adjusting means for adjusting the filtration of the filtrate to be filtered through the separation membrane, and determining the operating conditions of the membrane filtration apparatus for adjusting the membrane filtration pressure simultaneously or sequentially with the filtration A method for determining the amount of constituent components and the amount of constituents of the liquid to be filtered, and the data representing the time-series changes in membrane filtration pressure. Alternatively, a method for determining the operating condition of the membrane filtration device, comprising predicting a fluctuation of the membrane filtration flux or a fluctuation of the membrane resistance and determining the operating condition of the pressure adjusting means based on the prediction result.

  (3) Using a membrane filtration device having at least a separation membrane and a component amount adjusting means for adjusting the component amount of the filtrate to be filtered, the filtrate to be filtered through the separation membrane and simultaneously with filtration or A method for determining the operating conditions of a membrane filtration device that sequentially adjusts the amount of constituents of the filtrate to be filtrated, wherein the type and amount of constituents of the filtrate and the time series of the membrane filtration flow rate Based on the data representing the change, the fluctuation of the component amount adhering to the separation membrane, the fluctuation of the membrane filtration pressure, or the fluctuation of the membrane resistance is predicted, and the operation of the component quantity adjusting means is performed based on the prediction result. A method for determining operating conditions of a membrane filtration device including determining conditions.

  (4) Using a membrane filtration device having at least a separation membrane and a component amount adjusting means for adjusting the component amount of the filtrate to be filtered, the filtrate to be filtered through the separation membrane and simultaneously with filtration or A method for determining the operating conditions of a membrane filtration device that sequentially adjusts the amount of components of the filtrate to be filtrated, wherein the type and amount of components of the filtrate to be filtered and the time series of membrane filtration pressure From the data representing the change, the fluctuation of the component amount adhering to the separation membrane, the fluctuation of the membrane filtration flow rate or the membrane filtration flux, or the fluctuation of the membrane resistance is predicted, and based on the prediction result, the constituent component A method for determining operating conditions of a membrane filtration device, including determining operating conditions of a quantity adjusting means.

  According to the present invention, according to the membrane filtration properties and membrane filtration conditions of various filtrates to be determined, the appropriate operating conditions of the adjusting means for adjusting the constituent component amounts of the filtrate to be filtered are determined, and based on the determination results. By operating the membrane filtration apparatus, it is possible to suppress an increase in membrane resistance and membrane filtration pressure and a decrease in membrane filtration flux over a long period of time, or to use a separation membrane for a long period of time. For example, depending on the respective conditions, such as when the membrane filtration flux is very large or small, when intermittent filtration is performed, when continuous filtration is performed, or when the cleaning effect on the membrane surface is large or small, the membrane resistance or long-term In order to suppress an increase in membrane filtration pressure and a decrease in membrane filtration flux, or to use a separation membrane for a long period of time, the amount of components to be filtered should be different. Accordingly, it is possible to determine an appropriate component amount of the liquid to be filtered.

  Further, according to the present invention, appropriate operating conditions of the pressure adjusting means for adjusting the membrane filtration pressure and the flow rate adjusting means for adjusting the membrane filtration flow rate are rationalized according to conditions such as the membrane filtration properties of various liquids to be filtered. By operating the membrane filtration apparatus based on the determination result, the efficiency of the membrane filtration apparatus operation and the operation stabilization can be achieved.

  Hereinafter, the present invention will be described in detail and specifically.

  The present invention (Claim 1) includes at least a separation membrane, pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, and a membrane filtrate obtained by the pressure generating means The membrane filtration apparatus having a flow rate adjusting means for adjusting the flow rate (hereinafter referred to as membrane filtration flow rate) is filtered through the separation membrane, and the membrane filtration flow rate is adjusted simultaneously or sequentially with the filtration. The present invention relates to a method for determining the operating conditions of a membrane filtration apparatus to be performed, and the present invention (Claim 6) generates at least a separation membrane and a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane. Using a membrane filtration apparatus having pressure generating means for adjusting the pressure difference generated by the pressure generating means (hereinafter referred to as membrane filtration pressure), and filtering the liquid to be filtered through the separation membrane, Simultaneous or sequential with filtration In addition, the present invention (Claims 11 and 12) relates to at least the separation membrane and the constituent amount of the liquid to be filtered. Membrane filtration device having a component amount adjusting means for adjusting the filtration, the filtrate to be filtered through the separation membrane, and membrane filtration for adjusting the component amount of the filtrate to be filtrated simultaneously or sequentially with the filtration The present invention relates to a method for determining operating conditions of an apparatus.

  Here, the separation membrane has a function of capturing a substance having a certain particle diameter or more contained in the filtrate by applying pressure to the filtrate or sucking from the permeate side. There are dynamic filtration membranes, microfiltration membranes, ultrafiltration membranes, nanofiltration membranes, reverse osmosis membranes, etc., depending on the difference in trapped particle size. The separation membrane used in the present invention is preferably a dynamic filtration membrane, a microfiltration membrane, or an ultrafiltration membrane. In addition, examples of the shape of the separation membrane include a flat membrane and a hollow fiber membrane, but the shape is not particularly limited.

  In addition, the filtrate to be subjected to membrane filtration is generally a liquid containing suspended solids and is not particularly limited. For example, in the case of a liquid containing microorganisms, Since microorganisms and microbial metabolites as substances are present in a relatively high concentration, it is difficult to predict fluctuations such as resistance when the filtrate is subjected to membrane filtration. It is possible to predict fluctuations such as resistance when the liquid is subjected to membrane filtration, and adjustment means in a membrane filtration apparatus for membrane filtration of the liquid to be filtered (pressure adjustment means, flow rate adjustment means, or amount of constituents described later) It becomes possible to determine the operating conditions of the adjusting means) with high accuracy. In this respect, the liquid to be filtered in the present invention is preferably a liquid containing microorganisms such as a microorganism culture solution and activated sludge. Moreover, in this invention, the to-be-filtered liquid whose density | concentration of a suspended solid is 100 mg / L or more is preferable.

  Further, the pressure generating means is not particularly limited as long as it generates a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane. There are a method in which the liquid side is pressurized or sucked from the permeate side, and a method in which the water head difference between the liquid to be filtered and the membrane filtrate side is utilized.

  Further, the form of the pressure adjusting means is not particularly limited as long as the pressure difference (membrane filtration pressure) generated by the pressure generating means can be adjusted. For example, when using a pump as the pressure generating means, there is a method of adjusting the output of the pump, and when using a water head difference, there is a method of adjusting the water level on the filtrate side or the membrane filtrate side.

  The flow rate adjusting means is not particularly limited as long as it can adjust the flow rate of the membrane filtrate obtained by the pressure generating means (hereinafter referred to as membrane filtration flow rate). For example, there are a method of adjusting the membrane filtration flow rate by adjusting the output of the pump, and a method of adjusting the opening and closing of valves and valves.

  In the present invention, it is preferable to use a suction pump with an inverter as pressure generating means, obtain a membrane filtrate by making the membrane filtration side negative pressure, and adjust the membrane filtration flow rate by pump output control by the inverter.

  The component of the liquid to be filtered is a component constituting the liquid to be filtered.For example, the liquid to be filtered is fractionated by centrifugation, filtration with filter paper, filtration with a separation membrane, and the like. The resulting liquid can be a constituent. Further, in the present invention, it is preferable to use a supernatant component, more preferably to use a supernatant component and a solid component, as a kind of constituent components of the liquid to be filtered, and to use a supernatant component, a solid component and a dissolved component. Most preferably, it is used. Here, the supernatant component is, for example, a centrifugal supernatant obtained by centrifuging the liquid to be filtered, a separation membrane having a larger pore size than the separation membrane in the membrane filtration device (for example, a microfiltration membrane as a separation membrane in the membrane filtration device) In the case of using an ultrafiltration membrane or the like, it can be used as a filtrate when the filtrate is filtered using a filter paper or the like, and the solid component is obtained by, for example, centrifuging the filtrate. Using a separation membrane having a larger pore size than the separation membrane in the membrane filtration device (for example, a filter paper or the like when a microfiltration membrane or an ultrafiltration membrane is used as the separation membrane in the membrane filtration device) It can be set as the non-membrane filtrate thing when filtering a to-be-filtered liquid. The dissolved component is preferably a permeate from a separation membrane in a membrane filtration device or a separation membrane made of the same material as the separation membrane. Further, the component amount of the liquid to be filtered is a substance amount such as a dissolved substance or a suspended substance contained in the component, for example, total organic carbon (TOC), chemical oxygen demand ( COD), biochemical oxygen demand (BOD), extracellular polymer substance amount (EPS), suspended solids concentration (MLSS), dry weight, suspended solids loss on ignition (MLVSS), etc. . In the present invention, in view of ease of measurement, accuracy, and automation, it is recommended to specify the amount of substance measured based on the TOC. Further, the component amount may be defined by an absolute amount, but in the present invention, it is preferably defined by a concentration.

  In the present invention, it is preferable to use the difference amount between the substance amount of the supernatant component and the substance amount of the dissolved component as the component amount, and the difference amount between the substance amount of the supernatant component and the substance amount of the dissolved component, and More preferably, the amount of the solid component is used as the component amount. The amount of difference between the amount of the supernatant component in the liquid to be filtered and the amount of the dissolved component, and the amount of the solid component cannot be actually permeated through the membrane, and are resisted by adhering to the membrane surface. This is because the amount of the substance contributes to. In particular, when membranes are filtered, the substances that do not permeate the separation membrane in the membrane filtration device among the supernatant components of the filtrate (the amount of the substance is the amount of the supernatant component and the dissolved component) In most cases, the membrane resistance is mainly formed, and the amount of the component of the supernatant and the amount of the dissolved component are By using the difference amount, the component component amount of the filtrate to be filtered attached to the separation membrane, the fluctuation of the membrane filtration pressure, the fluctuation of the membrane filtration flow rate, the fluctuation of the membrane filtration flux, or more accurately It becomes possible to predict a change in the value of the membrane resistance. Moreover, the whole to-be-filtered liquid can be defined comprehensively and easily by using only the amount of solid components as a component amount of to-be-filtered liquid. In addition, substances contained in the solid component of the liquid to be filtered contribute to resistance if attached to the membrane, and are separated from the membrane in comparison with substances that do not permeate the separation membrane in the membrane filtration device among the supernatant components. Therefore, there is an effect that a substance that does not permeate the separation membrane in the membrane filtration device is entrained in the supernatant component adhering to the membrane and peeled off together. Therefore, by using the difference between the amount of the supernatant component and the amount of the dissolved component and the amount of the solid component as the component amount, the amount of the component of the liquid to be filtered attached to the separation membrane The above phenomenon can be reproduced when predicting fluctuations, fluctuations in membrane filtration pressure, fluctuations in membrane filtration flow rate, fluctuations in membrane filtration flux, or changes in the value of membrane resistance.

  The adjusting means for adjusting the component amount of the liquid to be filtered is not particularly limited as long as it can adjust and change the component amount of the liquid to be filtered. A method of discharging the filtrate and a method of adding dilution water such as tap water are preferable. In particular, in the method of discharging the liquid to be filtered, the liquid to be filtered may be discharged as it is, but there is a method for preferentially discharging some of the components of the liquid to be filtered by centrifugation or filtration with a nonwoven fabric. is there. Further, in the present invention, it is preferable to define the component amount of the liquid to be filtered by the concentration. Therefore, when discharging the liquid to be filtered, it is necessary to add dilution water by the amount of water of the discharged liquid to be filtered. Further preferred. For example, when the membrane separation type activated sludge method is used as a membrane filtration device, the water to be treated, which is raw water, always flows into the liquid to be filtered (activated sludge) storage tank. By discharging the filtrate (activated sludge), it is possible to adjust the concentration of the activated sludge that is the filtrate (that is, the component amount of the filtrate).

  The operating condition of the component amount adjusting means is a physical quantity representing the degree to which the component amount of the liquid to be filtered is adjusted by the component amount adjusting means. For example, when discharging the liquid to be filtered as the component amount adjusting means, the discharge amount of the liquid to be filtered is indicated.

  In addition, the membrane filtration device is characterized in that the separation membrane is immersed in the liquid to be filtered, and the membrane filtration device is characterized in that the liquid to be filtered is sent to the container containing the separation membrane while being filtered. And a rotary membrane filtration device characterized in that the separation membrane is rotated by immersing all or part of the separation membrane in the liquid to be filtered. The membrane filtration method may be a dead end type or a cross flow type. Among them, as an apparatus to which the present invention can be applied, there are a membrane separation type activated sludge method used for treatment of sewage, factory effluent, manure and the like, and a microbiological substance production process including a membrane separation step.

  Further, in the present invention, from the data representing the type and amount of component of the liquid to be filtered and the time-series change in membrane filtration pressure, the fluctuation of the amount of component adhering to the separation membrane, membrane filtration A fluctuation in flow rate or a fluctuation in membrane resistance is predicted, and an operating condition of the pressure adjusting means or an operating condition of the component amount adjusting means is determined based on the prediction result (see FIG. 2). Alternatively, from the data representing the type and amount of constituents of the liquid to be filtered and the time-series changes in the membrane filtration flow rate, fluctuations in the amount of constituents adhering to the separation membrane, fluctuations in membrane filtration pressure, Or the fluctuation | variation of a membrane resistance is estimated and the operating condition of the operating condition of the said flow volume adjustment means or the said component amount adjustment means is determined based on the said prediction result (refer FIG. 1).

  In addition, the data representing the time-series change in the component amount of the liquid to be filtered is a time series combination of the values of the component components of the liquid to be filtered with respect to an arbitrary time. Although the value of the amount of the constituent component may fluctuate, it may be constant without fluctuating.

  The membrane filtration flow rate is the flow rate of the permeate obtained from the membrane. Further, the value obtained by dividing the value of the membrane filtration flow rate by the membrane area is the membrane filtration flux (that is, the membrane filtration flux is the membrane filtration flow rate per unit area of the separation membrane). Data representing a time-series change in the membrane filtration flow rate is a time-series combination of values of the membrane filtration flow rate for an arbitrary time, and the value of the membrane filtration flow rate may vary over time, It may be constant without changing. Alternatively, the value of the membrane filtration flow rate may be converted into a membrane filtration flux, and the data representing the time series change of the membrane filtration flow rate may be replaced with the data representing the time series change of the membrane filtration flux.

  The membrane filtration pressure is calculated as the difference between the pressure on the filtrate side of the separation membrane and the pressure on the permeate side. When the membrane filtrate is obtained by applying pressure or suction with a pump, Can be calculated from the water head difference or the like when the membrane filtrate is obtained using the siphon principle such as pressurization or suction pressure. The data representing the time-series change in the membrane filtration pressure is a time-series combination of the values of the membrane filtration pressure for an arbitrary time, and the value of the membrane filtration pressure may vary over time, It may be constant without changing.

  Moreover, the component amount adhering to the separation membrane is the amount of substance contained in the component of the liquid to be filtered adhering to the membrane surface. Here, when using two or more kinds of substance amounts (for example, the difference between the substance amount of the supernatant component and the substance amount of the dissolved component, the substance amount of the solid component, etc.) as the constituent component amount of the liquid to be filtered For each type of component, it means the amount of component adhering to the separation membrane.

  The membrane resistance is a resistance generated when the liquid to be filtered is filtered through a membrane, and is generally defined by the equation (1).

R = ΔP / (μJ) (1)
Here, ΔP is the membrane filtration pressure [Pa], μ is the viscosity of the membrane filtrate [Pa · s], R is the membrane resistance [1 / m], and J is the membrane filtration flux [m / s]. Here, μ may directly measure the viscosity of the membrane filtrate, but may be converted from the temperature according to the equation (2).

μ × 10 ³ = F · exp [(1 + BT) / (CT + DT ² )] (2)
Here, F = 0.01257187, B = −0.005806436, C = 0.001130911, D = −0.000005723952, and T is the absolute temperature [K]. That is, when the Celsius temperature is σ [° C.], it is expressed as T = σ + 273.15.

  In the present invention, from the data representing the type and amount of component of the liquid to be filtered and the time-series change in the membrane filtration flow rate, the fluctuation of the amount of component adhering to the separation membrane, the membrane filtration pressure The fluctuation or the fluctuation of the film resistance value is predicted (hereinafter referred to as prediction step 1). Alternatively, from the data representing the type and amount of constituents of the liquid to be filtered and the time-series changes in membrane filtration pressure, fluctuations in the amount of constituents adhering to the separation membrane, fluctuations in the membrane filtration flow rate ( Alternatively, the fluctuation of the membrane filtration flux) or the fluctuation of the membrane resistance value is predicted (hereinafter referred to as prediction step 2).

  Here, the prediction is data representing a time-series change as an input (that is, in the case of the prediction step 1, the type and the amount of the component of the liquid to be filtered and the time-series change of the membrane filtration flow rate. In the case of the prediction step 2, it is data representing the type and amount of component of the liquid to be filtered and the time-series change of the membrane filtration pressure.) That is, in the case of the prediction step 1, it is a change in the amount of constituent components adhering to the separation membrane, a change in the membrane filtration pressure, or a change in the value of the membrane resistance. Fluctuations in the amount of adhering constituents, fluctuations in the membrane filtration flow rate, fluctuations in the membrane filtration flux, or fluctuations in the value of the membrane resistance).

As means for realizing the prediction step 1 or the prediction step 2 described above, a prediction method based on a result of learning actual data using a neural network or the like, a film resistance value or a film as a function of input data Although there is a method for expressing the change in the value of the filtration pressure, in the present invention, the data representing the time-series change in the component amount of the filtered liquid, the data representing the time-series change in the membrane filtration flow rate, or It is preferable that the prediction method includes a calculation step 100 that calculates a value of the amount of constituent component adhering to the separation membrane based on data representing a time-series change in membrane filtration pressure. Accordingly, in the case of the prediction step 1, the fluctuation of the component amount adhering to the separation membrane, the fluctuation of the membrane filtration pressure, or the fluctuation of the membrane resistance value is changed. In the case of the prediction step 2, the separation membrane is changed. It is possible to more accurately predict fluctuations in the amount of constituents adhering to the membrane, fluctuations in the membrane filtration flow rate, fluctuations in the membrane filtration flux, or fluctuations in the value of the membrane resistance. In addition, the calculation step 100 expresses the amount of change in the amount of the component adhering to the separation membrane as a difference between the rate at which the substance contained in the component of the liquid to be filtered adheres to the separation membrane and the rate at which the separation occurs. More preferably, the calculation step 101 is calculated based on the following calculation formula. Thus, it is possible to calculate the amount of change in the constituent component quantity attaching on the separation membrane, whereby, if the value of the constituent component quantity attaching on the separation membrane of any time t _i, a constant The value of the component amount adhering to the separation membrane at time t _{i + 1} can be calculated. In addition, even when the membrane filtration flow rate value, membrane filtration flux value, and membrane filtration pressure value are not constant and fluctuate, it is possible to calculate fluctuations in the amount of membrane adhesion of constituents of the liquid to be filtered. It becomes possible. Further, the rate at which the substances contained in the constituents of the liquid to be filtered peel from the separation membrane is determined based on a higher-order expression of the second or higher order of the amount of the constituent components adhering to the separation membrane. More preferably. Thus, in the case of the prediction step 1, the fluctuation of the component amount adhering to the separation membrane, the fluctuation of the membrane filtration pressure, or the fluctuation of the membrane resistance value is changed. In the case of the prediction step 2, the separation membrane is changed. It is possible to more accurately predict fluctuations in the amount of constituents adhering to the membrane, fluctuations in the membrane filtration flow rate, fluctuations in the membrane filtration flux, or fluctuations in the value of the membrane resistance. Further, the calculation formula expressing the amount of change in the amount of the supernatant component adhering to the separation membrane includes the value of the amount of the solid component adhering to the separation membrane, or the separation Most preferably, the calculation expression expressing the amount of change in the amount of the solid component adhering to the membrane is a calculation formula including the value of the amount of the supernatant component adhering to the separation membrane. As a result, the phenomenon that the substance contained in the solid component adhering to the separation membrane entrains the non-membrane-permeable substance contained in the supernatant component adhering to the membrane and peels off together (the solid of the liquid to be filtered If the component adheres to the membrane, it contributes to resistance, and it is easier to separate from the membrane compared to the non-membrane-permeable substance contained in the supernatant component). It becomes possible to accurately determine the operating conditions of the pressure adjusting means, the flow rate adjusting means, and the component amount adjusting means in the membrane filtration device to be filtered.

  Here, there are the following procedures as calculation procedures in the prediction step 1 and the prediction step 2.

  The prediction step 1 and the prediction step 2 include a calculation step 10 for calculating the value of the membrane filtration flux or the value of the membrane filtration pressure at an arbitrary time, and the value of the component amount adhering to the separation membrane at an arbitrary time. A calculation step 20 for calculating the film resistance, and a calculation step 30 for calculating the value of the membrane resistance at an arbitrary time. The calculation step 10, the calculation step 20 and the calculation step 30 are repeated while updating the time. Thus, in the prediction step 1 or the prediction step 2, it is possible to obtain a temporal change (that is, variation) of a value that is a prediction target.

  Here, in the calculation step 10, it is preferable to follow the equation (1). At this time, the expression (1) may be converted into the following expression (1 ').

R = AΔP / (μQ) (1 ′)
Here, Q is the membrane filtration flow rate [m ³ / s], and A is the membrane area [m ² ].

  By using the expression (1) or (1 ′), the value of the membrane filtration pressure at an arbitrary time in the case of the prediction step 1 or the value of the membrane filtration flow rate at an arbitrary time in the case of the prediction step 2 The value of the membrane filtration flux can be calculated.

  Further, in the calculation step 20, as described above, the amount of change in the amount of the constituent component adhering to the separation membrane is determined based on the rate at which the substance contained in the constituent component of the liquid to be filtered adheres to the separation membrane. It is preferable that the calculation step 101 is calculated based on a calculation expression expressed as a difference between and the calculation expression expressing the amount of change in the amount of substance of the supernatant component adhering to the separation membrane, A calculation formula that includes the value of the amount of the solid component adhering to the separation membrane or the amount of change in the value of the amount of the solid component adhering to the separation membrane is expressed by the separation membrane. More preferably, the calculation formula includes the value of the amount of the supernatant component adhering to the surface. Examples of such calculation formulas include the following formulas (3) and (4). In the present invention, it is recommended to follow the formulas (3) and (4). However, the scope of the present invention is not limited to the equations (3) and (4).

dXm / dt = X · J−γx · (τ−λx · ΔP) · (ηx · Xm + ηp · Pm) · Xm (3)
dPm / dt = P · J−γp · (τ−λp · ΔP) · (ηx · Xm + ηp · Pm) · Pm (4)
However, (τ−λx · ΔP) ≧ 0 and (τ−λp · ΔP) ≧ 0.

Here, X is the amount of the substance contained in the solid component [gC / m ³ ], P is the amount of the non-membrane permeable substance contained in the supernatant component [gC / m ³ ], and Xm is the separation per unit membrane area The amount of substance contained in the solid component adhering to the membrane [gC / m ² ], Pm is the amount of substance of the non-membrane permeable substance contained in the supernatant component adhering to the separation membrane per unit membrane area [gC / m ² ] , T is the time [s], τ is the membrane detergency [Pa], γx is the exfoliation coefficient [1 / Pa / s] of the substance contained in the solid component, and γp is the non-membrane permeable substance contained in the supernatant component Peel coefficient [1 / Pa / s], λx is the friction coefficient [−] of the substance contained in the solid component, λp is the friction coefficient [−] of the non-membrane permeable substance contained in the supernatant component, and ηx is the solid component density inverse of the substances contained [m 3 ^/ gC], the reciprocal of the density of non-membrane permeable substance ηp is contained in the supernatant component [m ³ gC] is. Here, the first term on the right side of the equations (3) and (4) is the speed at which the substance contained in the constituent component adheres to the separation membrane, and the second term is the substance in which the constituent component is contained in the separation membrane. It shows the speed of peeling from. Further, by multiplying both sides of the formulas (3) and (4) by the membrane area A, the left side of the formula (3) is the amount of change in the amount of substance contained in the solid component attached to the separation membrane, and the formula (4) It is possible to convert the membrane filtration flux J on the right side into the membrane filtration flow rate Q to the amount of change in the amount of the non-membrane permeable substance contained in the supernatant component attached to the separation membrane on the left side.

  Further, as described above, the amount of change in the amount of the constituent component adhering to the separation membrane is expressed as the difference between the rate at which the substance contained in the constituent component of the liquid to be filtered adheres to the separation membrane and the rate at which the separation is performed. Is expressed as a differential equation related to the amount of constituents of the liquid to be filtered attached to the separation membrane. At that time, as a method for solving this differential equation, the Euler method, the Runge-Kutta method, the Runge method, and the like. -Kutta-Gill (RKG) method.

  By performing the calculation step 20 as described above, the value of the component amount adhering to the separation membrane at an arbitrary time can be calculated.

  In the calculation step 30, for example, the value of the membrane resistance at an arbitrary time can be calculated by following the equation (5).

R = Rm + αxXm + αpPm (5)
Here, Rm is the initial film resistance value [1 / m], αx is the resistance generation amount per unit amount of Xm [m / gC], and αp is the resistance generation amount per unit amount of Pm [m / gC]. ].

  As described above, it is possible to calculate the fluctuation of the value to be predicted by the three calculation steps of the calculation step 10, the calculation step 20, and the calculation step 30, but only the fluctuation of the film resistance value is calculated. In the case of prediction, the calculation step 10 may be omitted, and the calculation step 20 and the calculation step 30 may be used. For example, in the calculation step 20, in the case of the prediction step 1, when a calculation formula including the value of the membrane filtration pressure (for example, the formula (3) or the formula (4)) is used, the membrane filtration pressure is calculated in the calculation step 10. By using, in the calculation step 20, a calculation formula in which a calculation formula (for example, formula (1)) used for calculation of the value is substituted into a calculation formula including the value of the membrane filtration pressure in the calculation step 20, the membrane The calculation step for calculating the value of the filtration pressure can be omitted, and in the case of the prediction step 2, when using a calculation formula (for example, formula (3) or formula (4)) including the value of the membrane filtration flow rate or the membrane filtration flux The calculation formula (for example, the formula (1)) used for calculating the value of the membrane filtration flow rate and the membrane filtration flux in the calculation step 10 is changed to the value of the membrane filtration flow rate and the membrane filtration flux in the calculation step 20. Including formula By using the assignment was equation to the calculation step 20, it can be omitted calculating step of calculating the value of the membrane filtration pressure. Similarly, in the prediction step 1, only the fluctuation of the value of the membrane filtration pressure is predicted, and in the case of the prediction step 2, only the fluctuation of the value of the membrane filtration flow rate or the membrane filtration flux is predicted, the calculation step 30 may be omitted, and the calculation step 10 and the calculation step 20 may be configured by two calculation steps. For example, in the calculation step 10, when a calculation formula including the value of the membrane filtration resistance (for example, the equation (1)) is used, a calculation formula (for example, (5) used for the calculation of the value of the membrane resistance in the calculation step 30. The calculation step 30 can be omitted by using, in the calculation step 10, a calculation formula obtained by substituting the formula ()) into the calculation formula including the film resistance value in the calculation step 10. As described above, calculation step 10 or calculation step 30 can be omitted as appropriate, but it is recommended not to omit calculation step 20.

  Further, in the calculation step 10, the calculation step 20, and the calculation step 30, calculation is performed according to a predetermined calculation formula. Values, data, and data described in the description of each calculation step are included in the calculation formulas. Parameters other than the amount of substances may be included. In such a case, it is necessary to determine a parameter value in performing the calculation in each calculation step. In the present invention, the method for determining the parameter value is not particularly limited. However, using a separation membrane having the same material and shape as the separation membrane of the membrane filtration device, the filtrate or the components of the filtrate are actually filtered. It is preferable to measure or calculate changes in the value of the membrane filtration pressure, the value of the membrane filtration flux or the membrane filtration flow rate, and the value of the membrane resistance at that time, and estimate or determine the parameters based on the results. This includes many parameters determined by the properties of the liquid to be filtered and the separation membrane used, and by following the parameter estimation / determination method described above, This is because the prediction can be performed with high accuracy, and the operating conditions of the pressure adjusting means, the flow rate adjusting means, and the component amount adjusting means in the membrane filtration apparatus for membrane filtering the liquid to be filtered can be determined with high accuracy. .

  In the present invention, the operating conditions of the pressure adjusting means, the flow rate adjusting means, or the component amount adjusting means are determined based on the result predicted as described above. As a method for determining the operating conditions of the pressure adjusting means, from the operating conditions of the virtual pressure adjusting means, fluctuations in the component amount of the filtrate to be filtered adhering to the separation membrane, fluctuations in the membrane filtration flow rate, membrane Fluctuation in filtration flux or fluctuation in membrane resistance is predicted, and based on the prediction result, it is determined whether or not the operating condition of the virtual pressure adjusting means is appropriate, and the virtual result determined to be good in the determination result. Determining an appropriate operating condition of the pressure adjusting means from operating conditions of the appropriate pressure adjusting means, and determining an operating condition of the pressure adjusting means based on the determined operating condition of the appropriate pressure adjusting means. Is preferred. In addition, as a method of determining the operating conditions of the flow rate adjusting means, the operating conditions of the virtual flow rate adjusting means, the fluctuation of the component amount of the liquid to be filtered adhering to the separation membrane, the fluctuation of the membrane filtration pressure Alternatively, the fluctuation of the membrane resistance is predicted, and based on the prediction result, the operating condition of the virtual flow rate adjusting means is determined, and the virtual flow rate adjusting means determined to be good in the determination result. It is preferable to determine an appropriate operating condition for the flow rate adjusting means from among the operating conditions, and to determine the operating condition for the flow rate adjusting means based on the determined proper operating condition for the flow rate adjusting means. In addition, as a method for determining the operating condition of the component amount adjusting unit, the component amount adhering to the separation membrane from the operating condition of the virtual component amount adjusting unit, the fluctuation of the membrane filtration pressure, the membrane Predict fluctuations in filtration flow rate, fluctuations in membrane filtration flux, or fluctuations in membrane resistance, based on the prediction results, determine the pros and cons of the virtual value of the component amount, and determine that the determination results are correct From the determined virtual value of the component amount, an appropriate operating condition of the component amount adjusting unit is determined, and the constituent component is determined based on the determined operating condition of the appropriate component amount adjusting unit. It is preferable to determine the operating conditions of the amount adjusting means.

  Here, the operating conditions of the virtual pressure adjusting means, the operating conditions of the virtual flow rate adjusting means, and the operating conditions of the virtual component amount adjusting means are the fluctuations in the amount of component adhering to the separation membrane, It is a value set on the assumption that it is used for predicting fluctuations in membrane resistance, fluctuations in membrane filtration flow rate, fluctuations in membrane filtration flux, or fluctuations in membrane filtration pressure. Here, the virtual means that it does not necessarily depend on the actual data, and the proper operating condition of the proper pressure adjusting means or the proper operating condition of the flow rate adjusting means or the proper component amount adjusting means finally determined. It is based on the premise that there is a possibility that the operating conditions may be different.

  Moreover, the component amount (namely, virtual component amount) of the to-be-filtered liquid after adjustment can be easily calculated from the operating condition of the virtual component amount adjusting means. For example, when 10% of the entire liquid to be filtered is discharged and the same amount of dilution water is added, the virtual component amount is 9/10. Thus, the component amount (virtual component amount) of the filtered liquid after adjustment is calculated from the operating conditions of the virtual component amount adjusting means, and the calculated virtual component amount is calculated from the calculated virtual component amount. By predicting fluctuations in the amount of constituents adhering to the separation membrane, fluctuations in membrane filtration pressure, fluctuations in membrane filtration flow rate, fluctuations in membrane filtration flux, or fluctuations in membrane resistance, Predict fluctuations in the amount of constituents adhering to the separation membrane, fluctuations in membrane filtration pressure, fluctuations in membrane filtration flow, fluctuations in membrane filtration flux, or fluctuations in membrane resistance from the operating conditions of the volume adjustment means Can do.

  In addition, as a method for judging whether or not the operating condition of the virtual pressure adjusting means or the operating condition of the virtual component amount adjusting means is based on the prediction result, the structure attached to the separation membrane When the value of the component amount or the value of the membrane resistance is equal to or less than a predetermined value, or the value of the membrane filtration flux or the value of the membrane filtration flow rate is equal to or greater than the predetermined value, Determining that the operating condition of the typical pressure adjusting means or the operating condition of the virtual component amount adjusting means is correct, the value of the component amount adhering to the separation membrane in the prediction result, or When the value of the membrane resistance converges, it is preferable to determine that the operating condition of the virtual pressure adjusting means or the operating condition of the virtual component amount adjusting means is correct. In addition, as a method for determining whether or not the operating condition of the virtual flow rate adjusting means or the operating condition of the virtual component amount adjusting means is based on the prediction result, the structure attached to the separation membrane When the value of the component amount, the value of the membrane resistance, or the value of the membrane filtration pressure falls below a predetermined value, the operating condition of the virtual flow rate adjusting means or the virtual component amount adjustment When the operating condition of the means is determined to be good, or when the value of the constituent component adhering to the separation membrane, the value of the membrane resistance, or the value of the membrane filtration pressure converges in the prediction result, It is preferable to determine that the operating condition of the typical flow rate adjusting means or the operating condition of the virtual component amount adjusting means is correct. This makes it possible to objectively determine the operating conditions of the appropriate pressure adjusting means, the appropriate flow rate adjusting means, or the appropriate component amount adjusting means, and the membrane resistance and membrane filtration can be determined over a long period of time. An increase in pressure and a decrease in membrane filtration flux can be suppressed, or the separation membrane can be used for a long time.

  Here, the predetermined value needs to be set in advance, but the predetermined value is determined based on the maximum output value of the pump that generates the membrane filtration pressure, and the energy consumption of the pump that generates the membrane filtration pressure. A method of determining based on the maximum allowable value, a method of determining based on the maximum allowable value of the membrane resistance value and the membrane filtration pressure value to increase the membrane life and cleaning interval, and the pre-planned membrane filtration flow rate In order to satisfy, the method of determining based on the permissible minimum value of the value of the membrane filtration flux and the value of the membrane filtration flow rate is exemplified. For example, if the predetermined value is the maximum output value of the pump that generates the membrane filtration pressure, when the membrane filtration conditions are judged to be non-existing, the initially scheduled membrane filtrate volume cannot be obtained. When the condition is determined to be good, the expected amount of membrane filtrate can be obtained.

  Further, in the present invention, an appropriate operating condition of the pressure adjusting means is determined from the operating condition of the virtual pressure adjusting means determined to be correct in the determination result, and the virtual condition determined to be correct in the determination result is determined. An appropriate operating condition of the flow rate adjusting means is determined from the operating conditions of the typical flow rate adjusting means. Here, the operating conditions of the virtual pressure adjusting means in which the value of the virtual membrane filtration pressure is reduced and the operating conditions of the virtual flow adjusting means in which the value of the virtual membrane filtration flow rate is reduced are more suitable for membrane filtration. It is obvious that this is good, but in order to increase the membrane filtration efficiency of the membrane filtration device, it is preferable that the value of the virtual membrane filtration pressure or the value of the virtual membrane filtration flow rate is large. Therefore, among the operating conditions of the virtual pressure adjusting means determined to be good in the determination result, the operating conditions of the virtual pressure adjusting means in which the value of the virtual membrane filtration pressure becomes as large as possible are appropriately adjusted. And the virtual flow rate adjusting means in which the value of the virtual membrane filtration flow rate becomes as large as possible among the operating conditions of the virtual flow rate adjusting means determined to be good in the determination result. It is preferable that the operating condition is an appropriate operating condition of the flow rate adjusting means. In the present invention, an appropriate operating condition of the component amount adjusting unit is determined from the operating condition of the virtual component amount adjusting unit determined to be good in the determination result. In this case, it is obvious that the operating condition of the virtual component amount adjusting means with a smaller value of the virtual component amount is better for membrane filtration. In order to maintain a larger volume load in some cases, when the component amount adjusting means discharges the filtrate, the discharged filtrate is often the waste liquid, so the amount of the waste liquid is as small as possible. If the component amount adjusting means adds dilution water, operating the component amount adjusting means leads to energy consumption when the component water amount adjusting means adds dilution water. From the standpoint of reducing the energy consumed as much as possible, it is preferable that the virtual component amount is as large as possible. Therefore, among the operating conditions of the virtual component amount adjusting means determined to be good in the determination result, the operating conditions of the virtual component amount adjusting means in which the value of the virtual component amount adjusting means becomes as large as possible. It is preferable to set the operating condition of the proper component amount adjusting means.

  As a method for determining the operating condition of the appropriate pressure adjusting means described above, for example, there is a method shown in FIG. FIG. 5 is an example of a flowchart for carrying out the present invention. First, data representing a time-series change in the component amount of the liquid to be filtered and operating conditions of n arbitrary virtual pressure adjusting means are prepared. The data representing the time-series change in the component amount of the prepared liquid to be filtered, and the first condition (operating condition 1 and operating condition of n arbitrary virtual pressure adjusting means) Is used to predict fluctuations in the amount of constituent components adhering to the separation membrane, fluctuations in membrane filtration pressure, or fluctuations in membrane resistance based on the prediction step 2, and based on the prediction results, Determine whether the operating conditions of the pressure adjustment means are appropriate. This determination result is referred to as determination result 1. Similarly, a prediction is performed using the operating conditions of the second to nth virtual pressure adjusting means, and whether or not the operating conditions of the virtual pressure adjusting means are determined is determined based on the prediction result. Results 2 to n are obtained. Based on the determination results 1 to n obtained as described above, an appropriate operating condition of the pressure adjusting means is determined. Further, the operation condition of the proper flow rate adjusting means can be similarly determined by using the prediction step 1, and the operation condition of the proper component amount adjusting means can be determined in the prediction step 1 or the prediction step. The same can be done by using 2.

  Further, in the present invention, when it is determined in the determination result that the operating condition of the virtual pressure adjusting unit is not, the virtual membrane filtration pressure value corresponding to the operating condition of the virtual pressure adjusting unit is determined. The virtual membrane filtration pressure is changed to the operating condition of the virtual pressure adjusting means so that the value of the virtual membrane filtration pressure is reduced, and the changed virtual pressure adjusting means is reattached to the separation membrane. Predict fluctuations in the amount of constituents, fluctuations in the membrane filtration flow rate, fluctuations in the membrane filtration flux, or fluctuations in membrane resistance, and based on the prediction results, the operating conditions of the virtual pressure adjusting means after the change It is preferable to determine whether or not the operating condition of the virtual pressure adjusting unit is an appropriate operating condition of the pressure adjusting unit. Also, in the judgment result When it is determined that the operating condition of the virtual flow rate adjusting unit is not, the value of the virtual membrane filtration flow rate is smaller than the value of the virtual membrane filtration flow rate corresponding to the operating condition of the virtual flow rate adjusting unit. Change to the operating conditions of the virtual flow rate adjusting means, and from the changed operating conditions of the virtual flow rate adjusting means, the fluctuation of the component amount adhering to the separation membrane again, the fluctuation of the membrane filtration pressure Alternatively, predicting the fluctuation of the membrane resistance, determining whether the virtual flow rate adjusting means after the change is appropriate based on the prediction result, and operating conditions of the virtual flow rate adjusting means Is determined to be an appropriate operating condition of the flow rate adjusting means, and in the determination result, the operation of the virtual component amount adjusting means is preferably determined. When judging the condition is non The virtual component amount adjustment is such that the component amount of the virtual filtered liquid is smaller than the component amount of the virtual filtered liquid corresponding to the operating condition of the virtual component amount adjusting means. Change to the operating conditions of the means, and from the changed operating conditions of the virtual component amount adjusting means, the fluctuation of the component amount adhering to the separation membrane again, the fluctuation of the membrane filtration pressure, the fluctuation of the membrane filtration flow rate Predicting fluctuations in membrane filtration flux, or fluctuations in membrane resistance, and determining whether or not the operating conditions of the virtual component amount adjusting means after the change are based on the prediction results; and When it is determined that the operating condition of the virtual component amount adjusting unit is good, it is preferable that the operating condition of the virtual component amount adjusting unit is an appropriate operating condition of the component amount adjusting unit.

  For example, FIG. 4 shows an example of a flowchart when a change step for changing the operating condition of the virtual pressure adjusting means is provided. Here, first, operating conditions of a virtual pressure adjusting means corresponding to a sufficiently large value of membrane filtration pressure are prepared, and prediction is performed in the prediction step 2. The virtual membrane filtration corresponding to the operating condition of the virtual pressure adjusting means is determined in the changing step when the operating condition of the virtual pressure adjusting means is determined from the result of the prediction and the determination result is non- The operating condition of the virtual pressure adjusting means is reduced from the pressure to a virtual membrane filtration pressure, and the prediction step 2 and subsequent steps are repeated again. At this time, the operating condition of the virtual pressure adjusting means used when the judgment result is correct is set as the appropriate operating condition of the pressure adjusting means. By following such a procedure, it is possible to determine an appropriate operating condition of the pressure adjusting means more efficiently than the procedure shown in FIG.

  FIG. 3 shows an example of a flowchart in the case of including a changing step for changing the operating condition of the virtual flow rate adjusting means. Here, first, an operating condition of a virtual flow rate adjusting means corresponding to a sufficiently large membrane filtration flow rate is prepared, and prediction is performed in the prediction step 1. A virtual membrane filtration corresponding to the operating condition of the virtual flow rate adjusting unit is determined in the changing step when the operating condition of the virtual flow rate adjusting unit is determined from the result of the prediction and the determination result is non- It changes to the operating condition of the virtual flow volume adjustment means in which the virtual membrane filtration flow volume becomes smaller than the flow volume, and the prediction step 1 and subsequent steps are repeated again. At this time, the operating condition of the virtual flow rate adjusting means used when the determination result is positive is set as the appropriate operating condition of the flow rate adjusting means. By following such a procedure, it is possible to determine an appropriate operating condition of the flow rate adjusting means more efficiently than the procedure shown in FIG.

  Moreover, the example of a flowchart at the time of providing the change step which changes the driving | running condition of a virtual component amount adjustment means in FIG. 6 (when using the prediction step 1) and FIG. 7 (when using the prediction step 2) is shown. Show. Here, first, an operating condition of a virtual component amount adjusting unit corresponding to a sufficiently large component component amount is prepared, and prediction is performed by the prediction step 1 or the prediction step 2. When the operating condition of the virtual component amount adjusting unit is determined from the result of the prediction, and the determination result is non-indicated, the virtual step corresponding to the operating condition of the virtual component amount adjusting unit is changed in the changing step. The virtual constituent component amount adjusting means is changed to an operating condition in which the virtual constituent component amount is smaller than the actual constituent component amount, and the prediction step 1 or the prediction step 2 and subsequent steps are repeated again. At this time, the operating condition of the virtual component amount adjusting unit used when the determination result is positive is set as the appropriate operating condition of the component amount adjusting unit. By following such a procedure, it is possible to determine the appropriate operating condition of the component amount adjusting means more efficiently than the procedure shown in FIG.

  In the present invention, based on the determined operating condition of the appropriate pressure adjusting means, determining the operating condition of the pressure adjusting means, or based on the determined operating condition of the appropriate flow rate adjusting means, It is preferable to determine the operating conditions of the flow rate adjusting means, or to determine the operating conditions of the component amount adjusting means based on the determined operating conditions of the proper component amount adjusting means. At this time, the determined operating condition of the appropriate pressure adjusting means may be determined as it is as the operating condition of the pressure adjusting means, and in the membrane filtration apparatus targeted by the present invention, when the membrane filtration pressure is large In order to prevent the risk of causing rapid membrane clogging, in order to make it safer, processing considering the safety factor in the operating conditions of the determined appropriate pressure adjusting means is performed so that the membrane filtration pressure is reduced. You may go. The same applies to the determination of the operating condition of the flow rate adjusting means and the operating condition of the component amount adjusting means.

  Further, in the present invention, based on the operating condition of the pressure adjusting unit determined as described above, the operating condition of the flow rate adjusting unit, or the operating condition of the component amount adjusting unit, the operating condition of the pressure adjusting unit or The operation method of the membrane filtration device, wherein the operation condition of the flow rate adjusting means or the operating condition of the component amount adjusting means is controlled, and at least the separation membrane, and the filtrate side of the separation membrane, Pressure generating means for generating a pressure difference from the membrane filtrate side, pressure adjusting means for adjusting the membrane filtration pressure generated by the pressure generating means, and pressure control means for controlling the operation of the pressure adjusting means A membrane filtration device, wherein the pressure control means controls the operation of the pressure adjustment means determined as described above. And at least the separation membrane, the pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, and the flow rate of membrane filtration obtained by the pressure generating means A flow rate adjusting means for controlling the operation of the flow rate adjusting means, and the flow rate control means for controlling the operation of the flow rate adjusting means determined as described above. Membrane filtration device, and at least a separation membrane, a component amount adjusting means for adjusting the component amount of the liquid to be filtered, and a component amount control for controlling the operation of the component amount adjusting means A membrane filtration device having means for controlling the operation of the component amount adjusting means based on the operating conditions of the membrane filtration device determined as described above To provide a membrane filtration apparatus characterized in that there. In this case, when the component amount adjusting means discharges the filtrate to be filtrated from the filtrate storage tank or adds dilution water, the measuring means measures the discharge amount of the filtrate or the dosage of dilution water. And when the indicated value by the measuring means becomes larger with respect to the discharge amount of the filtrate or the diluted water dose corresponding to the determined operating condition of the component amount adjusting means, the discharge of the filtrate is performed. Alternatively, there is a method in which the constituent component amount adjusting means is controlled by the constituent component amount control means so as to stop administration of dilution water.

  Hereinafter, the present invention will be described in detail, but the present invention is not limited to only these examples.

Example 1
A schematic structure of the membrane filtration device 500 used in this example is shown in FIG. The membrane filtration device 500 is a submerged membrane separation activated sludge device, and is a wastewater treatment device for treating factory wastewater containing acetic acid as a main component. As raw water 506, factory wastewater mainly composed of acetic acid was put into a filtrate storage tank 501 having an effective capacity of 2.3 m ³ . Activated sludge was accommodated in the liquid to be filtered 504 in the liquid tank to be filtered 501. A separation membrane 502 is immersed in the liquid to be filtered 504, and a diffuser tube 507 is installed below the separation membrane 502. Air is supplied from the aeration blower 503 to the diffuser tube 507, and air is supplied from the diffuser tube 507. The structure was made to be ejected. That is, in this apparatus, since the air bubbles supplied from the diffuser tube 507 come into contact with the membrane surface, and the activated sludge flows due to aeration, the adhering components on the membrane surface are separated from the membrane. It will be. The separation membrane 502 is a flat membrane type microfiltration membrane (pore diameter 0.08 μm, effective membrane area 10.4 m ² ) made of PVDF (polyvinylidene fluoride), and the membrane permeate side is used as the pressure generating means 505. A suction pump with inverter control (flow rate adjusting means) capable of adjusting the flow rate was installed.

Moreover, in the present Example, the component amount of the to-be-filtered liquid was defined and measured as follows. The liquid to be filtered consists of a solid component (substance amount: X [gC / m ³ ]), a non-membrane filtration component in the supernatant (substance amount: P [gC / m ³ ]), and a dissolved component (substance amount: S [gC / m ³ ]). X is determined by measuring MLSS [gC / m ³ ] of the liquid to be filtered in accordance with the sewer test method, assuming that its characteristic formula is C ₅ H ₇ O ₂ N, and multiplying the measured value by 60/113. Calculated with S measured the TOC [gC / m ³ ] of the membrane filtrate obtained in the membrane filtration device 500, and set it as the measured value. P represents the difference between the measured TOC [gC / m ³ ] and S [gC / m ³ ] of the supernatant component by centrifuging the liquid to be filtered (3500 rpm, 10 minutes) to obtain the supernatant component. Calculated. As a result, X was 6372 [gC / m ³ ], P was 9.3 [gC / m ³ ], and S was 3.6 [gC / m ³ ].

  In the present embodiment, in the prediction step 1, the fluctuation of the membrane filtration pressure is predicted. Here, using the equation (1) as the calculation step 10 (where μ uses the equation (2)), and using the equation (3) and the equation (4) as the calculation step 20, The equation (5) was used as the calculation step 30.

  In this example, the above calculation was performed using numerical calculation software MATLAB (manufactured by Mathworks, USA), and the Runge-Kutta method was used as the integration method. Further, in this example, each specification value used for performing the above calculation is summarized in Table 1.

  Among the specification values shown in Table 1, the resistance coefficients αx and αp, the peeling coefficients γx and γp, and the friction coefficients λx and λp were determined as follows.

  First, using the activated sludge as the liquid to be filtered, a membrane filtration test was performed using the membrane filtration test apparatus 400 shown in FIG. The membrane filtration test apparatus 400 pressurizes a pure water chamber 410 containing pure water or a stirring cell 401 (Amicon 8050 manufactured by Millipore Corporation) with nitrogen gas 405 (the pressure is measured by a pressure gauge). ), The activated sludge as the liquid to be filtered by the separation membrane 402 installed in the membrane fixing holder 406. In membrane filtration, the liquid to be filtered can be stirred by rotating a stirring bar 404 immersed in the liquid to be filtered by a magnetic stirrer 403. The membrane permeate was received by a beaker 407 mounted on an electronic balance 408, the amount of the membrane permeate was measured by the electronic balance 408, and the measured value was taken into the personal computer 409. Moreover, the presence or absence of pressurization of each part of the membrane filtration test apparatus was adjusted by opening and closing the valve 412, the valve 413, and the valve 414.

  First, a membrane filtration test using pure water was performed to measure the initial value of membrane filtration resistance. Here, the membrane filtration pressure was 20 kPa, and the stirring speed by the magnetic stirrer 403 was 600 rpm. Moreover, the measured value in the electronic balance 408 was taken into the personal computer 409 at intervals of 2 seconds. The membrane filtration test using pure water was conducted until an amount of 80 ml of membrane permeate was obtained.

  Next, a membrane filterability evaluation test using activated sludge was performed. First, the pure water chamber 410 was removed and the dotted line 415 in FIG. 15 was connected. 12 ml of activated sludge was put into the stirring type cell 401, the membrane filtration test was conducted at a membrane filtration pressure of 20 kPa and a stirring speed by the magnetic stirrer 403 of 600 rpm. The measured value in the electronic balance 408 was taken into the personal computer 409 at intervals of 2 seconds, and the membrane filtration test for 700 seconds was performed.

  The membrane filtration test was also performed using a centrifugal supernatant obtained by centrifugation (3500 rpm, 10 minutes).

  In each membrane filtration test described above, data indicating the relationship between the filtration time taken into the personal computer 409 and the amount of filtrate was processed as follows. First, the membrane filtration flux at any filtration time was calculated using the differential coefficient of the filtrate amount at any filtration time. Next, from the membrane filtration flux at the arbitrary filtration time, the membrane filtration resistance at the arbitrary filtration time was calculated according to the formula (1) using the membrane filtration pressure. From the results calculated as described above, a relationship between the total filtrate amount per unit membrane area and the membrane filtration resistance was created.

  From the relationship between the total filtrate volume per unit membrane area and the membrane filtration resistance created from the results of the membrane filtration test using pure water, the average value of the membrane filtration resistance in the section where the filtrate volume is 70 to 80 mL is calculated. The initial value was membrane filtration resistance.

  First, the result of the membrane filtration test using the centrifugal supernatant was predicted.

The supernatant component substance amount value P (0) = 9.3 at time zero, the supernatant component substance amount value Pm (0) = 0 attached to the separation membrane, and the membrane filtration resistance initial value Rm = 4.65 × 10 ^10. Membrane detergency value τ = 1 (constant value), membrane filtrate viscosity μ = 1.0 × 10 ⁻³ , transmembrane pressure difference value ΔP = 20 × 10 ³ In addition, a resistance coefficient αp, a peeling coefficient γp, and a friction coefficient λp were input as parameters necessary for the membrane filtration program, and a membrane filtration prediction result was output. And the said membrane filtration prediction was repeatedly performed changing resistance coefficient (alpha) p, peeling coefficient (gamma) p, and friction coefficient (lambda) p so that the difference of a measured value and a membrane filtration prediction result might become the minimum. As a result, when the resistance coefficient αp = 4.89 × 10 ¹² , the peeling coefficient γp = 1.5 × 10 ⁵ , and the friction coefficient λp = 9.8 × 10 ⁻⁵ , the actual measurement value and the membrane filtration prediction result are minimum. became.

Next, the results of the membrane filtration test using sludge were predicted.
The supernatant component substance amount value P (0) = 9.3 at time zero, the solid component substance amount value X (0) = 6.372 × 10 ^{3 at} time zero, and the amount of supernatant component substance adhering to the separation membrane Value Pm (0) = 0, solid component substance amount value Xm (0) = 0 adhering to the separation membrane, membrane filtration resistance initial value Rm = 4.65 × 10 ¹⁰ , membrane cleaning power value τ = 1 (constant) Value), the viscosity of the membrane filtrate μ = 1.0 × 10 ⁻³ , and the transmembrane pressure difference ΔP = 20 × 10 ³ . As the parameters determined above, the resistance coefficient αp = 4.89 × 10 ¹² , the peeling coefficient γp = 1.5 × 10 ⁵ , and the friction coefficient λp = 9.8 × 10 ⁻⁵ were input. In addition, a resistance coefficient αx, a peeling coefficient γx, and a friction coefficient λx were input as parameters necessary for the membrane filtration program, and a membrane filtration prediction result was output. And the said membrane filtration prediction was repeatedly performed changing resistance coefficient (alpha) x, peeling coefficient (gamma) x, and friction coefficient (lambda) x so that the difference of a measured value and a membrane filtration prediction result might become the minimum. As a result, when the resistance coefficient αx = 2.0 × 10 ¹⁰ , the peeling coefficient γx = 1.7 × 10 ³ , and the friction coefficient λx = 3.0 × 10 ⁻⁵ , the actual measurement value and the membrane filtration prediction result are minimum. became.

  Further, the film cleaning power τ shown in Table 1 was determined as follows.

  First, the following membrane filtration test was conducted. As shown in FIG. 16, the membrane filtration apparatus 500 has a structure in which a tube is connected to the filtrate side of the separation membrane 502, and the membrane filtrate can be obtained by a water head difference using the siphon principle. In addition, a flow meter 514 (digital type) is installed in the middle of the tube, and a change with time of the indicated value of the flow meter 514 can be continuously recorded on the recorder 515. In addition, a valve 516 is installed downstream of the flow meter 514 so that intermittent operation can be performed manually. The difference between the water level of the liquid to be filtered in the liquid storage tank 501 and the height of the tube outlet of the membrane filtration test apparatus (see FIG. 16) was ΔH, and the membrane filtration pressure was calculated from ΔH.

  In such a membrane filtration apparatus, first, the amount of aeration was maintained at a constant flow rate of 300 L / min. ΔH was changed by changing the height of the tube outlet of the membrane filtration test apparatus over time, and membrane filtration was intermittently performed by opening and closing the valve 516 intermittently. The change with time of the membrane filtration flow rate obtained at this time under the condition of the membrane filtration pressure was predicted using the prediction step 2.

  In the prediction step 2, the equation (1 ′) is used as the calculation step 10 (where μ is the equation (2)), and the calculation step 20 is expressed by the equations (3) and (4). Each of them is used by substituting J = Q / A, and the equation (5) is used as the calculation step 30. Such a calculation was performed using the same calculation software and calculation method as in the prediction step 1.

  Although the prediction step 1 and the prediction step 2 have different inputs and outputs, the calculation formula itself used for the calculation is basically the same, and the target liquid to be filtered and the separation membrane are also the same. Therefore, the specification values shown in Table 1 are also the same, and it can be determined that the value of the film cleaning power used in the prediction step 1 is the same as the value of the film cleaning power used in the prediction step 2.

  Here, the integral value of the difference between the calculation result of the change over time of the value of the membrane filtration flow rate and the change over time of the actual value of the membrane filtration flow rate at an arbitrary virtual membrane cleaning power value is calculated. As a result of obtaining the minimum film cleaning power, it was 0.3.

First, data on the amount of component of the liquid to be filtered (fixed data with X: 6372 [gC / m ³ ], P: 9.3 [gC / m ³ ]), time-series changes in membrane filtration flux (Fixed data of 1.1 [m / d] as continuous filtration) was input into a computer in which the calculation formula in the prediction step 1 was incorporated. As other data, viscosity data of the membrane filtrate, initial membrane resistance data of the separation membrane (Rm: 4.65 × 10 ¹⁰ [1 / m]), and parameter values described in Table 1 were input. The fluctuation | variation of the membrane filtration pressure was estimated using the data of the component amount of the said to-be-filtered liquid, and the data of the membrane filtration flux. The result is shown in FIG. As the filtration time elapses, the value of the membrane filtration pressure tends to increase and diverge. Therefore, the operating condition of the virtual flow rate adjusting means is an operating condition in which the virtual membrane filtration flow rate is 10.816 [m ³ / d] (1.04 [m / d] as the membrane filtration flux) Again, fluctuations in membrane filtration pressure were predicted. As a result, the tendency for the membrane filtration pressure to diverge did not change (FIG. 9). Here, when the membrane filtration pressure diverges, it is determined that the operating condition of the virtual flow rate adjusting means is non-existent, and the operating condition of the virtual flow rate adjusting means is determined to be non-existent. Therefore, in the changing step, the operating condition of the virtual flow rate adjusting means is that the virtual membrane filtration flow rate is 10.608 [m ³ / d] (1.02 [m / d] as the membrane filtration flux). As operating conditions, fluctuations in membrane filtration pressure were predicted. As a result, the membrane filtration pressure converged and became a constant value (FIG. 9). Therefore, it is determined that the operating conditions of the virtual flow rate adjusting means are appropriate, and the appropriate operating conditions of the flow rate adjusting means are set to a membrane filtration flow rate of 10.608 [m ³ / d] (1. 02 [m / d]).

The membrane filtration flow rate is 10.4 [m ³ / d] (1.00 [m / d] as the membrane filtration flux) in consideration of the safety factor with respect to the determined operating conditions of the appropriate adjusting means. Thus, the pressure generating means 505, that is, the suction pump is controlled by the inverter.

(Example 2)
In Example 1, although the example in the case of continuous filtration was described, in Example 2, the example in the case of intermittent filtration is described.

  Membrane filtration device, membrane resistance prediction method, membrane filtration test method, calculation software used, integration method, various specifications necessary for calculation, component component amount value of filtrate, and initial membrane resistance value are examples Same as 1. Here, as an intermittent filtration condition, a cycle of 8 minutes of suction and 2 minutes of rest intermittent filtration, that is, 8 minutes of suction filtration with a constant membrane filtration flux, and then 2 minutes of suction filtration was repeated.

First, as in Example 1, in the prediction step 1, the fluctuation of the membrane filtration pressure value was predicted. Here, using the equation (1) as the calculation step 10 (where μ uses the equation (2)), and using the equation (3) and the equation (4) as the calculation step 20, The equation (5) was used as the calculation step 30. Data on the component amount of the liquid to be filtered (fixed data with X: 6372 [gC / m ³ ], P: 9.3 [gC / m ³ ]), representing time-series changes in membrane filtration flux The calculation formula in the prediction step 1 is incorporated as data (fixed data of intermittent filtration for 2 minutes resting as an intermittent filtration condition (membrane filtration flux during suction is 1.24 [m / d])). Entered in the computer. As other data, viscosity data of the membrane filtrate, initial membrane resistance data of the separation membrane (Rm: 4.65 × 10 ¹⁰ [1 / m]), and parameter values described in Table 1 were input. The fluctuation | variation of the membrane filtration pressure was estimated using the data of the component amount of the said to-be-filtered liquid, and the data of the membrane filtration flux. The result is shown in FIG. As the filtration time passed, the value of the membrane filtration pressure tended to increase or decrease. Here, when the maximum value of the membrane filtration pressure is greater than 10 kPa, it is determined that the operating condition of the virtual flow rate adjusting means is non-existent, and the operating condition of the virtual flow rate adjusting means is determined to be non-existent. Here, the operating condition of the virtual flow rate adjusting means is assumed to be a virtual membrane filtration flow rate at suction of 12.792 [m ³ / d] (1.23 [m / d] as the membrane filtration flux), Again, fluctuations in membrane filtration pressure were predicted. As a result, the membrane filtration pressure was reduced as a whole (FIG. 11), and the maximum value of the membrane filtration pressure was below 10 kPa. Therefore, it is determined that the operating conditions of the virtual flow rate adjusting means are appropriate, and the appropriate operating conditions of the flow rate adjusting means are the membrane filtration flow rate at the time of suction of 12.792 [m ³ / d] (membrane filtration flux). As 1.23 [m / d]).

The membrane filtration flow rate during suction is 12.5 [m ³ / d] (1.20 [m / d] as membrane filtration flux) in consideration of the safety factor with respect to the determined operating conditions of the appropriate adjusting means. ), The pressure generating means 505, that is, the suction pump is controlled by an inverter.

(Example 3)
FIG. 12 shows a schematic structure of the membrane filtration device 500 used in this example. The membrane filtration device 500 is a submerged membrane separation activated sludge device, and is a wastewater treatment device for treating factory wastewater containing acetic acid as a main component. The raw water 506, the factory effluent mainly composed of acetic acid, was intermittently charged into the filtrate storage tank 501 having an average flow rate of 4.2 m ³ / d and an effective capacity of 2.3 m ³ . Activated sludge is accommodated in the filtrate receiving tank 501 as the filtrate to be filtered 504, and the separation membrane 502 is immersed in the filtrate to be filtered 504, and an aeration tube 507 is installed below the separation membrane 502. The air diffusing tube 507 is configured to be supplied with air from an aeration blower serving as a cleaning unit 503. That is, in this apparatus, since the air bubbles supplied from the diffuser tube 507 come into contact with the membrane surface, and the activated sludge flows due to aeration, the adhering components on the membrane surface are separated from the membrane. It will be. Moreover, the component amount adjustment means 508 which discharges | emits the activated sludge which is the to-be-filtered liquid 504 from the to-be-filtrated liquid storage tank 501 with a pump was provided. Here, when activated sludge is discharged from the filtrate storage tank 501 by the component amount adjusting means 508, the amount of raw water corresponding to the discharged activated sludge is supplied to the filtrate storage tank 501. The structure (concentration) of the activated sludge is adjusted. Here, a flat membrane type microfiltration membrane (pore size 0.08 μm, effective membrane area 10.4 m ² ) made of PVDF (polyvinylidene fluoride) was used as the separation membrane 502 and installed on the membrane permeate side. A suction pump was used as the membrane filtrate obtaining means 505.

Moreover, in the present Example, the component amount of the to-be-filtered liquid was defined and measured as follows. The liquid to be filtered consists of a solid component (substance amount: X [gC / m ³ ]), a non-membrane filtration component in the supernatant (substance amount: P [gC / m ³ ]), and a dissolved component (substance amount: S [gC / m ³ ]). X is determined by measuring MLSS [gC / m ³ ] of the liquid to be filtered in accordance with the sewer test method, assuming that its characteristic formula is C ₅ H ₇ O ₂ N, and multiplying the measured value by 60/113. Calculated with S measured the TOC [gC / m ³ ] of the membrane filtrate obtained in the membrane filtration device 500, and set it as the measured value. P represents the difference between the measured TOC [gC / m ³ ] and S [gC / m ³ ] of the supernatant component by centrifuging the liquid to be filtered (3500 rpm, 10 minutes) to obtain the supernatant component. Calculated. As a result, X was 5600 [gC / m ³ ], P was 22.4 [gC / m ³ ], and S was 3.6 [gC / m ³ ].

  In the present embodiment, in the prediction step 1, the fluctuation of the membrane filtration pressure is predicted. Here, using the equation (1) as the calculation step 10 (where μ uses the equation (2)), and using the equation (3) and the equation (4) as the calculation step 20, The equation (5) was used as the calculation step 30.

  In this example, the above calculation was performed using numerical calculation software MATLAB (manufactured by Mathworks, USA), and the Runge-Kutta method was used as the integration method. In addition, in this example, each specification value used for performing the above calculation is summarized in Table 2.

  Among the specification values shown in Table 2, the resistance coefficients αx and αp, the peeling coefficients γx and γp, the friction coefficients λx and λp, and the film cleaning power τ were determined in the same manner as the method described in Example 1. .

First, data representing time-series changes in the amount of constituents of the liquid to be filtered (fixed data with X: 5600 [gC / m ³ ], P: 22.4 [gC / m ³ ]), membrane filtration flow Data representing a time-series change of the bundle (4.63 × 10 ⁻⁶ [m / s] fixed data as continuous filtration) was input into the computer in which the calculation formula in the prediction step 1 was incorporated. . As other data, the viscosity data of the membrane filtrate, the initial membrane resistance data of the separation membrane (Rm: 4.65 × 10 ¹⁰ [1 / m]), and the parameter values described in Table 2 were input. The fluctuation | variation of the membrane filtration pressure was estimated using the data of the component amount of the said to-be-filtered liquid, and the data of the membrane filtration flux. The result is shown in FIG. As the filtration time elapses, the value of the membrane filtration pressure tends to increase and diverge. Therefore, the operating condition of the virtual component amount adjusting means is to discharge 10% of activated sludge (that is, to set the component amount of the liquid to be filtered to 90/100), and again the fluctuation of the membrane filtration pressure Predicted. As a result, the tendency for the membrane filtration pressure to diverge did not change (FIG. 13). Here, when the membrane filtration pressure diverges, the operating condition of the virtual component amount adjusting unit is determined to be non-determined, and the operating condition of the virtual component amount adjusting unit is determined to be non-existing. Therefore, in the changing step, the operating condition of the virtual component amount adjusting means is that 11% of activated sludge is discharged (that is, the component amount of the liquid to be filtered is 89/100), and the membrane again The fluctuation of filtration pressure was predicted. As a result, the tendency of the membrane filtration pressure to diverge did not change (FIG. 13). Therefore, in the change step, 12% of activated sludge was discharged as the operating condition of the virtual component amount adjusting means (that is, The amount of component of the liquid to be filtered was 88/100), and the fluctuation of the membrane filtration pressure was predicted. As a result, the membrane filtration pressure converged and stabilized to a constant value (FIG. 13). Therefore, it is determined that the operating condition of the virtual component amount adjusting means is appropriate, and the operating condition of the appropriate component amount adjusting means is to discharge activated sludge by 12% (that is, the component of the liquid to be filtered). The amount was determined to be 88/100).

The determined operating condition of the proper component amount adjusting means is that 276 L of activated sludge is extracted from the filtrate storage tank 501, and the component amount of activated sludge is X: 4928 [gC / m ³ ] and P: 19. This corresponds to 7 [gC / m ³ ]. Since microorganisms in the activated sludge ingest organic substances in the raw water 506 and multiply, the amount of components in the activated sludge increases as the operation of the membrane filtration device 500 continues. Therefore, considering the safety factor, 300 L of activated sludge is extracted from the filtrate storage tank 501, and thereafter, X becomes 4928 [gC / m ³ ] or more (9281 [g / m ³ ] or more in MLSS). In this case, the activated sludge is drawn out by the component amount adjusting means 508, and X is always adjusted to be 4928 [gC / m ³ ] or less (9281 [g / m ³ ] or less in MLSS).

Example 4
In Example 3, although the example in the case of continuous filtration was described, in Example 4, the example in the case of intermittent filtration is described.

Membrane filtration device, membrane resistance prediction method, membrane filtration test method, calculation software used, integration method, various specifications necessary for calculation, component component amount value of filtrate, and initial membrane resistance value are examples Same as 1. Here, as intermittent filtration conditions, intermittent filtration with 8 minutes suction for 2 minutes rest (membrane filtration flux at suction is 5.79 × 10 ⁻⁶ [m / s]), that is, membrane filtration flux 5.79 × The cycle of suction filtration at 10 ⁻⁶ [m / s] for 8 minutes and then stopping suction filtration for 2 minutes was repeated.

First, as in Example 1, in the prediction step 1, the fluctuation of the membrane filtration pressure value was predicted. Here, using the equation (1) as the calculation step 10 (where μ uses the equation (2)), and using the equation (3) and the equation (4) as the calculation step 20, The equation (5) was used as the calculation step 30. Data representing time-series changes in the amount of constituents of the liquid to be filtered (fixed data with X: 5600 [gC / m ³ ], P: 22.4 [gC / m ³ ]), membrane filtration flux Data representing time-series changes (fixed data of intermittent filtration for 8 minutes suction and rest for 2 minutes (membrane filtration flux at suction is 5.79 × 10 ⁻⁶ [m / s]) as intermittent filtration conditions) The calculation formula in the prediction step 1 is input into the computer. As other data, viscosity data of the membrane filtrate, initial membrane resistance data of the separation membrane (Rm: 4.65 × 10 ¹⁰ [1 / m]), and parameter values described in Table 1 were input. The fluctuation | variation of the membrane filtration pressure was estimated using the data of the component amount of the said to-be-filtered liquid, and the data of the membrane filtration flux. The result is shown in FIG. As the filtration time passed, the value of the membrane filtration pressure tended to increase or decrease. Here, the operating condition of the virtual component amount adjusting means is to discharge activated sludge by 20% (that is, to set the component amount of the liquid to be filtered to 80/100), and again the membrane filtration pressure. Predicted fluctuations. As a result, the membrane filtration pressure was reduced as a whole (FIG. 14). Here, when the maximum value of the membrane filtration pressure becomes larger than 10 kPa, it is determined that the operating condition of the virtual component amount adjusting means is non-determined, and the operating condition of the virtual component amount adjusting means is non-determined. It was judged. Therefore, in the changing step, the operating condition of the virtual component amount adjusting means is that 21% of activated sludge is discharged (that is, the component amount of the liquid to be filtered is 79/100), and the membrane again The fluctuation of filtration pressure was predicted. As a result, the membrane filtration pressure was reduced as a whole (FIG. 14), and the maximum value of the membrane filtration pressure was less than 10 kPa. Therefore, it is determined that the operating condition of the virtual component amount adjusting means is appropriate, and the operating condition of the appropriate component amount adjusting means is to discharge 21% of activated sludge (that is, the component of the liquid to be filtered). The amount was determined to be 79/100).

The determined operating condition of the proper component amount adjusting means is that 483 L of activated sludge is extracted from the filtrate storage tank 501 and the component amount of activated sludge is X: 4424 [gC / m ³ ] and P: 17. This corresponds to 7 [gC / m ³ ]. Since microorganisms in the activated sludge ingest organic substances in the raw water 506 and multiply, the amount of components in the activated sludge increases as the operation of the membrane filtration device 500 continues. Therefore, in consideration of the safety factor, 500 L of activated sludge was extracted from the filtrate storage tank 501.

It is a flowchart of this invention in case the prediction step 1 is included. It is a flowchart of this invention in case the prediction step 2 is included. It is a flowchart for determining the driving | running condition of the flow volume adjustment means at the time of using the change step including the prediction step 1. FIG. It is a flowchart for determining the operating condition of the pressure adjustment means when including the prediction step 2 and using the change step. It is an example of the implementation flowchart of this invention. It is a flowchart for determining the driving | running condition of the component component amount adjustment means at the time of using the change step including the prediction step 1. FIG. It is a flowchart for determining the driving | running condition of the component component amount adjustment means at the time of using the change step including the prediction step 2. FIG. It is the schematic of the membrane filtration apparatus used in Example 1 and Example 2. FIG. It is a figure which shows the fluctuation | variation of the membrane filtration pressure calculated in Example 1. FIG. In Example 2, it is a figure which shows the fluctuation | variation of the membrane filtration pressure calculated by giving 1.24 [m / d] as virtual membrane filtration flux. In Example 2, it is a figure which shows the fluctuation | variation of the membrane filtration pressure calculated by giving 1.23 [m / d] as virtual membrane filtration flux. It is the schematic of the membrane filtration apparatus used in Example 3 and Example 4. FIG. It is a figure which shows the fluctuation | variation of the membrane filtration pressure calculated in Example 3. FIG. It is a figure which shows the fluctuation | variation of the membrane filtration pressure calculated in Example 4. FIG. It is a figure of the membrane filtration test apparatus utilized in order to determine the factors for performing prediction in Examples 1-4. It is a figure of the membrane filtration test apparatus utilized in order to determine the membrane cleaning power in Example 1. FIG.

Explanation of symbols

400: Membrane filtration test apparatus 401: Stirring cell 402: Separation membrane 403: Magnetic stirrer 404: Stirring bar 405: Nitrogen gas 406: Membrane fixing holder 407: Beaker 408: Electronic scale 409: Personal computer 410: Pure water chamber 411: Pressure Total 412, 413, 414: Valve 500: Membrane filtration device 501: Filtrate storage tank 502: Separation membrane 503: Cleaning means 504: Filtration liquid 505: Membrane filtrate acquisition means 506: Raw water 507: Air diffuser 508: Configuration Component amount adjusting means 514: Flow meter 515: Recorder 516: Valve

Claims (27)

At least a separation membrane, pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, and a flow rate of the membrane filtrate obtained by the pressure generating means (hereinafter referred to as membrane filtration flow rate) Using a membrane filtration device having a flow rate adjusting means for adjusting the flow rate, the liquid to be filtered is filtered through the separation membrane, and the operating conditions of the membrane filtration device for adjusting the membrane filtration flow rate simultaneously or sequentially with the filtration are determined. A method for determining the amount of constituent components and the amount of constituent components of the liquid to be filtered, and the data representing the time-series changes in the membrane filtration flow rate, fluctuations in the amount of constituent components adhering to the separation membrane, membrane filtration pressure The method of determining the operating condition of the membrane filtration device includes predicting the fluctuation of the flow rate or the fluctuation of the membrane resistance and determining the operating condition of the flow rate adjusting means based on the prediction result. Based on the operation result of the virtual flow rate adjusting means, the fluctuation of the component amount of the liquid to be filtered adhering to the separation membrane, the fluctuation of the membrane filtration pressure, or the fluctuation of the membrane resistance is predicted, and based on the prediction result Determining whether or not the operating condition of the virtual flow rate adjusting means is appropriate, and selecting an appropriate operating condition of the flow rate adjusting means from among the operating conditions of the virtual flow rate adjusting means determined to be good in the determination result. The method for determining the operating condition of the membrane filtration device according to claim 1, wherein the operating condition of the flow rate adjusting means is determined based on the determined operating condition of the proper flow rate adjusting means. In the prediction, prediction is performed using operating conditions of a virtual flow rate adjusting means, and in the result of the prediction, the value of the component amount adhering to the separation membrane, the value of the membrane resistance, or the membrane filtration pressure The determination of the operating condition of the membrane filtration device according to claim 2, wherein when the value of becomes less than a predetermined value determined in advance, the operating condition of the virtual flow rate adjusting means is determined to be good. Method. At the time of the prediction, a prediction is made using the operating conditions of the virtual flow rate adjusting means, and in the prediction result, the value of the component amount adhering to the separation membrane, the value of the membrane resistance or the value of the membrane filtration pressure 3. The method for determining the operating condition of the membrane filtration device according to claim 2, wherein when it converges, the operating condition of the virtual flow rate adjusting means is determined to be good. In the determination result, when it is determined that the operating condition of the virtual flow rate adjusting unit is not, the virtual membrane filtration value is calculated from the value of the virtual membrane filtration flow rate corresponding to the operating condition of the virtual flow rate adjusting unit. Change to the operating condition of the virtual flow rate adjusting means such that the value of the flow rate becomes small, and from the changed operating condition of the virtual flow rate adjusting means, the fluctuation of the component amount adhering to the separation membrane again, Predicting fluctuations in membrane filtration pressure or fluctuations in membrane resistance, determining whether or not the operating conditions of the virtual flow rate adjusting means after the change are appropriate based on the prediction results, and the virtual flow rate The operating condition of the virtual flow rate adjusting means is set as an appropriate operating condition of the flow rate adjusting means when it is determined that the operating condition of the adjusting means is good. A method for determining the operating conditions of a membrane filtration device. At least the separation membrane, pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, and the pressure difference generated by the pressure generating means (hereinafter referred to as membrane filtration pressure) are adjusted. This is a method for determining the operating conditions of a membrane filtration device that uses a membrane filtration device having pressure adjustment means to filter the filtrate to be filtered through the separation membrane and adjust the membrane filtration pressure simultaneously or sequentially with the filtration. From the data representing the type and amount of components of the liquid to be filtered and the time-series changes in membrane filtration pressure, fluctuations in the amount of components adhering to the separation membrane, membrane filtration flow rate or membrane filtration A method for determining operating conditions of a membrane filtration device, comprising predicting fluctuations in flux or fluctuations in membrane resistance, and determining operating conditions of the pressure adjusting means based on the prediction result. Predicts fluctuations in the amount of constituents of the liquid to be filtered adhering to the separation membrane, fluctuations in the membrane filtration flow rate, fluctuations in the membrane filtration flux, or fluctuations in membrane resistance from the operating conditions of the virtual pressure adjustment means Then, based on the prediction result, it is determined whether or not the operating condition of the virtual pressure adjusting means is appropriate, and the appropriate operating condition of the virtual pressure adjusting means determined as good in the determination result is determined appropriately. 7. The membrane filtration device according to claim 6, wherein operating conditions of the pressure adjusting means are determined, and operating conditions of the pressure adjusting means are determined based on the determined operating conditions of the appropriate pressure adjusting means. How to determine the operating conditions. At the time of the prediction, the prediction is performed using the operating conditions of the virtual pressure adjusting means, and the value of the constituent component adhering to the separation membrane or the value of the membrane resistance is determined in advance in the prediction result. When the value of the membrane filtration flux or the value of the membrane filtration flow rate is equal to or greater than a predetermined value determined in advance, it is determined that the operating condition of the virtual pressure adjusting means is correct. The method for determining the operating conditions of the membrane filtration device according to claim 7. When the prediction is performed using the operating conditions of the virtual pressure adjusting means, and the value of the constituent component adhering to the separation membrane or the value of the membrane resistance converges in the prediction result The method for determining the operating condition of the membrane filtration device according to claim 7, wherein the operating condition of the virtual pressure adjusting means is determined to be good. In the determination result, when it is determined that the operating condition of the virtual pressure adjusting unit is not, a virtual membrane filtration value is calculated based on a virtual membrane filtration pressure value corresponding to the operating condition of the virtual pressure adjusting unit. Change to the operating condition of the virtual pressure adjusting means such that the pressure value becomes small, and from the changed operating condition of the virtual pressure adjusting means, the fluctuation of the component amount adhering to the separation membrane again, Predicting the fluctuation of the membrane filtration flow rate, the fluctuation of the membrane filtration flux, or the fluctuation of the membrane resistance, and determining the appropriateness of the operating conditions of the virtual pressure adjusting means after the change based on the prediction result; And when the operating condition of the virtual adjusting means is determined to be good, the operating condition of the virtual pressure adjusting means is set as an appropriate operating condition of the pressure adjusting means. Operating conditions of the membrane filtration device according to any one of The method of determination. Using at least a separation membrane and a membrane filtration device having a component amount adjusting means for adjusting a component amount of the filtrate, the filtrate is filtered through the separation membrane, and simultaneously or sequentially with the filtration. A method for determining the operating conditions of a membrane filtration device for adjusting the amount of constituents of the filtrate to be filtered, which represents the type and amount of constituents of the filtrate and the time-series changes in the membrane filtration flow rate. Based on the data, the fluctuation of the component amount adhering to the separation membrane, the fluctuation of the membrane filtration pressure, or the fluctuation of the membrane resistance is predicted, and the operating condition of the component quantity adjusting means is determined based on the prediction result To determine the operating conditions of the membrane filtration device. Using at least a separation membrane and a membrane filtration device having a component amount adjusting means for adjusting a component amount of the filtrate, the filtrate is filtered through the separation membrane, and simultaneously or sequentially with the filtration. A method for determining the operating conditions of a membrane filtration device for adjusting the amount of component of the filtrate to be filtrated, which represents the type and amount of components of the filtrate and the time-series change in membrane filtration pressure. From the data, the fluctuation of the component amount adhering to the separation membrane, the fluctuation of the membrane filtration flow rate or the membrane filtration flux, or the fluctuation of the membrane resistance is predicted, and the component quantity adjustment means based on the prediction result A method for determining the operating conditions of a membrane filtration apparatus, including determining the operating conditions. From the operating conditions of the virtual component amount adjusting means, the variation of the component amount of the liquid to be filtered adhering to the separation membrane, the variation of the membrane filtration pressure, the variation of the membrane filtration flow rate or the membrane filtration flux, or Fluctuation of membrane resistance is predicted, and based on the prediction result, whether or not the operating condition of the virtual component amount adjusting means is determined, and the virtual component amount adjustment determined to be good in the determination result From the operating conditions of the means, an appropriate operating condition of the component amount adjusting means is determined, and based on the determined operating condition of the appropriate constituent amount adjusting means, the operating condition of the constituent amount adjusting means is determined. 13. The method for determining operating conditions of a membrane filtration device according to claim 11 or 12, wherein the method is determined. At the time of the prediction, the prediction is performed using the operating condition of the virtual component amount adjusting means, and in the result of the prediction, the value of the component amount adhering to the separation membrane, the value of the membrane resistance or the membrane filtration pressure When the value of is equal to or less than a predetermined value, or when the value of the membrane filtration flux or the value of the membrane filtration flow rate is equal to or greater than the predetermined value, the operation of the virtual component amount adjusting means 14. The method for determining operating conditions of a membrane filtration device according to claim 13, wherein the condition is judged as good. At the time of the prediction, prediction is performed using the operating conditions of the virtual component amount adjusting means, and in the prediction result, the value of the component amount adhering to the separation membrane, the value of the membrane resistance, the membrane filtration pressure 14. The membrane according to claim 13, wherein when the value of the membrane filtration flux, the value of the membrane filtration flow rate, or the value of the membrane filtration flow rate converges, it is determined that the operating condition of the virtual component amount adjusting means is correct. A method for determining the operating conditions of a filtration device. In the determination result, when it is determined that the operating condition of the virtual component amount adjusting unit is not, from the component amount of the virtual liquid to be filtered corresponding to the operating condition of the virtual component amount adjusting unit. Change to the operating condition of the virtual component amount adjusting means so that the component quantity of the virtual liquid to be filtered becomes small, and again from the changed operating condition of the virtual component quantity adjusting means, the separation Predict fluctuations in the amount of components adhering to the membrane, fluctuations in membrane filtration pressure, fluctuations in membrane filtration flow rate or membrane filtration flux, or fluctuations in membrane resistance, and based on the prediction results, Determining whether or not the operating condition of the virtual component amount adjusting means is correct, and when the operating condition of the virtual component amount adjusting means is determined to be good, the virtual component amount adjusting means Adjusting the appropriate amount of components for operating conditions Method of determining the operating conditions of the membrane filtration device according to any one of claims 13 to 15, characterized in that the operating conditions. The operating condition of the membrane filtration device according to any one of claims 11 to 16, wherein the component amount adjusting means is made by discharging the filtrate or diluting the filtrate. How to determine. The method for determining operating conditions of a membrane filtration device according to any one of claims 1 to 17, wherein a supernatant component and / or a solid component of the liquid to be filtered is used as a kind of constituent components of the liquid to be filtered. . Based on the data representing the time-series change of the component amount of the filtrate to be filtered, the data representing the time-series change of the membrane filtration flow rate, or the data representing the time-series change of the membrane filtration pressure, The method for determining operating conditions of a membrane filtration device according to any one of claims 1 to 18, further comprising a calculation step 100 for calculating a value of a component amount adhering to the separation membrane. In the calculation step 100, the amount of change in the amount of the component adhering to the separation membrane is expressed as the difference between the rate at which the substance contained in the component of the liquid to be filtered adheres to the separation membrane and the rate of separation. 20. The method for determining operating conditions of a membrane filtration device according to claim 19, characterized in that the calculation step 101 is calculated based on the following calculation formula. The rate at which the substances contained in the constituents of the liquid to be filtered peel from the separation membrane is determined based on a higher-order expression of the second or higher order of the amount of the constituent components adhering to the separation membrane. 21. A method for determining operating conditions of a membrane filtration device according to claim 20 characterized in. The calculation formula expressing the amount of change in the amount of the supernatant component adhering to the separation membrane is a calculation formula including the term of the amount of the solid component adhering to the separation membrane. And / or the calculation expression expressing the amount of change in the amount of the solid component adhering to the separation membrane includes a term of the amount of the substance amount of the supernatant component adhering to the separation membrane. 21. The method for determining operating conditions of a membrane filtration device according to claim 20, which is a calculation formula. The method for determining operating conditions of a membrane filtration device according to any one of claims 1 to 22, wherein the liquid to be filtered is a liquid containing microorganisms. 24. The operating condition of the pressure adjusting means, the operating condition of the flow rate adjusting means, or the component amount adjusting means determined in the method for determining the operating conditions of the membrane filtration device according to claim 1. Based on the operating conditions, the operating conditions of the pressure adjusting means, the operating conditions of the flow rate adjusting means, or the operating conditions of the component amount adjusting means are controlled. . At least a separation membrane, a pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, a flow rate adjusting means for adjusting a flow rate of membrane filtration obtained by the pressure generating means, and 24. A membrane filtration device having a flow rate control means for controlling the operation of the flow rate adjustment means, wherein the flow rate control means is any one of claims 1 to 5, or any one of claims 18 to 23. A membrane filtration apparatus for controlling the operation of the flow rate adjusting means determined in the method for determining the operating conditions of the apparatus. At least a separation membrane, a pressure generating means for generating a pressure difference between the filtrate side and the membrane filtrate side of the separation membrane, a pressure adjusting means for adjusting a membrane filtration pressure generated by the pressure generating means, and the pressure It is a membrane filtration apparatus which has a pressure control means which controls operation | movement of an adjustment means, Comprising: The said pressure control means is any one of Claims 6-10, or the membrane filtration apparatus in any one of Claims 18-23 A membrane filtration apparatus for controlling the operation of the pressure adjusting means determined in the operating condition determining method. A membrane filtration apparatus comprising at least a separation membrane, a component amount adjusting means for adjusting a component amount of a liquid to be filtered, and a component amount control means for controlling the operation of the component amount adjusting means, wherein the component amount 24. A membrane filtration device characterized in that the control means controls the operation of the component amount adjusting means determined in the method for determining the operating conditions of the membrane filtration device according to any one of claims 11 to 23. .

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