WO1998003434A1 - Dispositif de regulation de la concentration d'oxygene dissous d'une cuve d'aeration, de regulation de la temperature de ladite cuve, de regulation du debit d'eau brute pour obtenir une surface liquide homogene et equipement de traitement d'eaux usees utilise dans le procede de traitement par boues activees - Google Patents

Dispositif de regulation de la concentration d'oxygene dissous d'une cuve d'aeration, de regulation de la temperature de ladite cuve, de regulation du debit d'eau brute pour obtenir une surface liquide homogene et equipement de traitement d'eaux usees utilise dans le procede de traitement par boues activees Download PDF

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Publication number
WO1998003434A1
WO1998003434A1 PCT/JP1997/002514 JP9702514W WO9803434A1 WO 1998003434 A1 WO1998003434 A1 WO 1998003434A1 JP 9702514 W JP9702514 W JP 9702514W WO 9803434 A1 WO9803434 A1 WO 9803434A1
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WO
WIPO (PCT)
Prior art keywords
tank
raw water
wastewater
wastewater treatment
dissolved oxygen
Prior art date
Application number
PCT/JP1997/002514
Other languages
English (en)
Japanese (ja)
Inventor
Randy M. Miller
Akifumi Uda
Kazutoshi Itoyama
Yoshiaki Yamamoto
Original Assignee
Mitsubishi Chemical Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from JP19061896A external-priority patent/JP2002219480A/ja
Priority claimed from JP19358196A external-priority patent/JP2002219481A/ja
Application filed by Mitsubishi Chemical Corporation filed Critical Mitsubishi Chemical Corporation
Priority to AU34630/97A priority Critical patent/AU3463097A/en
Publication of WO1998003434A1 publication Critical patent/WO1998003434A1/fr

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    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00—Biological treatment of water, waste water, or sewage
    • C02F3/006—Regulation methods for biological treatment
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00—Controlling or monitoring parameters in water treatment
    • C02F2209/02—Temperature
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00—Controlling or monitoring parameters in water treatment
    • C02F2209/22—O2
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00—Controlling or monitoring parameters in water treatment
    • C02F2209/40—Liquid flow rate
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00—Controlling or monitoring parameters in water treatment
    • C02F2209/42—Liquid level
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W10/00—Technologies for wastewater treatment
    • Y02W10/10—Biological treatment of water, waste water, or sewage

Definitions

  • the first invention is an activated sludge wastewater treatment facility used in general wastewater treatment plants and sewage treatment plants such as chemical factories (hereinafter, the activated sludge wastewater treatment facility is referred to as an activated sludge wastewater treatment facility). More specifically, the present invention provides an apparatus for controlling the concentration of dissolved oxygen provided in an aeration tank of an activated sludge wastewater treatment facility, a method for controlling the same, and an activated sludge wastewater treatment facility having a controller for controlling the dissolved oxygen window degree. Is what you do.
  • the second invention relates to an activated sludge wastewater treatment facility provided with a temperature control device for aeration.
  • the third invention relates to an activated sludge wastewater treatment facility having a device for controlling the level of a raw water flow supplied to an aeration tank.
  • the fourth invention relates to an activated sludge wastewater treatment facility which provides operators with appropriate tillage guidance in response to changes in the operating conditions and process state quantities of the activated sludge wastewater treatment facility. is there.
  • the fifth invention relates to an operation support device for a process suitably applied to activated sludge wastewater treatment equipment, and more specifically, to receive and treat a treated body from each of a plurality of upstream chemical processes, and to treat the treated body.
  • a process operation support device that predicts at least one of the indicator operating conditions of the target chemical process and the indicator property of the treated object based on the operation data of the upstream chemical process when operating the chemical process that discharges It is a thing.
  • Goze (26th thread) It is a target.
  • closed aeration tanks are used to treat high-load wastewater from chemical factories.
  • the oxygen supply to the air tank is usually performed by measuring the flow rate of the raw water supplied from the pretreatment equipment from the raw water neutralization tank and the first settling tank, and based on this, The oxygen supply amount is adjusted so that the pressure in the tank becomes constant, and oxygen is dissolved in water by stirring in the tank. Adjustment of the amount of oxygen in the gas tank to an appropriate value is performed according to the oxygen content of the gas phase in the gas tank. It does this by discharging it outside and accepting oxygen instead.
  • an object of the first invention is to provide a control device for an aeration tank that can stabilize the concentration of dissolved oxygen in air and thus can provide a stable treatment 81 even if the quality of inflow water changes. And a method for controlling the concentration of dissolved oxygen in an aeration tank using the same.
  • the wastewater is received in a raw water tank, and pH or 1S adjustment and nutrient adjustment are performed with a neutralizer as a pretreatment, and then air or oxygen is supplied into the aeration tank.
  • a neutralizer as a pretreatment
  • air or oxygen is supplied into the aeration tank.
  • organic matter is oxidized and decomposed by aerobic microorganisms, and the sludge is agglomerated as required, followed by sedimentation and separation by sedimentation 3 ⁇ 4 to obtain treated water.
  • an operation method for controlling the temperature of the aeration tower within a specific range has been proposed.
  • hot water or cold water is supplied into the tank to control the temperature of the air tank.
  • the exchange equipment is installed in an aeration tank, there is a problem that the temperature distribution generated at that time affects the activity of the microorganisms and reduces the efficiency of wastewater treatment. Therefore, an object of the second invention is to stabilize the temperature in the tank of the aeration tank to reduce the fluctuation of the dissolved oxygen concentration in the tank, thereby operating the activated sludge wastewater treatment facility and treating the treated water.
  • An object of the present invention is to provide a control device capable of stabilizing water quality, and an activated sludge wastewater treatment facility equipped with such a control device.
  • liquid level constant value control is generally performed to keep the liquid level constant.
  • fluctuations in the wastewater to be received are reflected in fluctuations in the raw water supply flow S from the direct neutralization tank to the aeration tank, and are consequently included in the water in the air tank.
  • the organic matter content which is the nutrient source of the aerobic microorganisms, will fluctuate.
  • the activated sludge treatment which is a microorganism treatment
  • fluctuations in the environment in the aeration tank affect the treatment results (decomposition rate), and thus such a liquid level constant control method is not preferable in terms of process stabilization.
  • the raw water tank may overflow if the amount of incoming wastewater fluctuates, so equipment with excessive capacity is required to cope with it, which is not economical.
  • an object of the third invention is to control the liquid level of the raw water tank to be within a certain allowable range and to control the flow rate of the raw water supplied to the aeration tank not to fluctuate abruptly even if the amount of received wastewater fluctuates. Accordingly, it is an object of the present invention to provide a method for controlling a wastewater treatment facility provided with a control device capable of operating the activated sludge wastewater treatment facility and stabilizing the quality of treated water.
  • Wastewater treatment by the activated sludge method is one of the biological treatment methods for wastewater, in which various organic substances in the wastewater are used as culture media, and a mixed population of microorganisms is continuously cultivated in the presence of dissolved oxygen to oxidize and degrade.
  • This is a treatment method that mainly removes organic matter in wastewater by the actions of coagulation and precipitation.
  • Water Treatment Engineering published by Gihodo, the activated sludge treatment process continually circulates floc-like biopropagating organisms having a purification function in a bioreaction system as needed, and removes substrate (drainage) in the air tank.
  • the BOD component) and the purified microorganisms are artificially manipulated to maintain a constant ratio.
  • the floc composed of microorganisms of different populations and the base S can be sufficiently treated. It is defined as a process that aerobically oxidizes and decomposes it by contacting it.
  • activated sludge wastewater treatment equipment generally includes a raw water tank I4 for storing wastewater, a chemical solution injected into the wastewater to perform pretreatment, and the temperature of the wastewater to be adjusted. 15 5.Aeration tank that oxidizes, decomposes, and coagulates mainly organic matter in the wastewater while purifying the wastewater with oxygen4, and precipitates flocculated sludge floc, and precipitates the supernatant as purified water It is composed of case 41.
  • the pH is adjusted in the neutralization tank 15, and after the nutrients necessary for the growth of microorganisms, for example, a phosphoric acid solution or ammonia gas are given, ⁇ ⁇ ⁇ Enter the air tank 4.
  • the wastewater is aerated with oxygen, and organic matter in the wastewater is oxidatively decomposed and grows as a floc.
  • the sedimentation tank 41 the wastewater is separated into purified water and microbial flocks, that is, activated sludge, and the upper separation water is sent to the outside as treated water, and a part of the concentrated activated sludge is continuously discharged. It is returned to Vessel 4 and mixed again with the new inflow substrate that has flowed in with the wastewater.
  • ⁇ In order to maintain the rate of decomposition of organic matter in the wastewater by aerobic microorganisms in the air tank above a certain value, ⁇ ⁇ Use oxygen in the wastewater so that the dissolved acid purple in the wastewater in the air tank becomes above a certain value. To ensure that the acid violet supply is not the limiting factor in organic matter removal.
  • Incense (26th thread) It should be more concentrated than the activated sludge concentration in the air tank.
  • the activated sludge wastewater treatment facility was designed to control the injection of chemicals and temperature adjustment to the wastewater in the neutralization tank, the supply of oxygen to the wastewater in the Akebono tank, and the return of sludge from the precipitation tank to the aeration tank.
  • Various control loops !
  • the activated sludge wastewater treatment equipment which has a leveling liquid level control loop to moderate the fluctuation of the flow rate of wastewater from raw water to the aeration tank.
  • the activated sludge process is carried out using microbial activity that is difficult to control.
  • the cultivation conditions and process condition fi change from time to time, and various abnormal situations occur.
  • the operating conditions refer to the flow rate, for example, the flow rate of the wastewater, the flow rate of the chemical solution and oxygen, the flow rate of the returned activated sludge, and the position of the solid-liquid interface in the settling tank.
  • Process yield refers to temperature, pressure, concentration, pH value, turbidity, etc.
  • the quality of the received wastewater is analyzed by analyzing the received wastewater, and the temperature and pH are adjusted for the wastewater to adjust the operating conditions and process volume.
  • measures have been taken to suspend the receiving of wastewater and put in sugar and urea to wait for the natural situation to resolve itself.
  • the operating conditions or process state can be newly set by individual control loops and the wastewater treatment equipment can be locally stabilized.
  • the position of the solid-liquid interface in the settling tank and the turbidity of the treated water which are indicators of the stability of operation, are predicted, and the position of the solid-liquid interface and the turbidity of the treated water are estimated.
  • the object of the fourth invention is to predict operating conditions and process state quantities as indices in response to changes in operating conditions and process standing, and The purpose is to provide activated sludge wastewater treatment facilities that can provide appropriate information.
  • the detection of abnormal signs of the wastewater treatment equipment itself is performed by analyzing various operation data in the wastewater treatment equipment and determining the interface of the sedimentation tank, which is an operation stabilization index of the wastewater treatment equipment, and the degree of treated water. It is possible by pre-emption. Therefore, abnormalities in wastewater treatment facilities are more often caused by fluctuations in the properties of the wastewater received than by the operation of the wastewater treatment facilities themselves.
  • wastewater treatment equipment that collectively treats wastewater discharged from a large number of wastewater sources for example, wastewater discharged from a large number of more than 20 brands. These are changes in the nature and composition of the wastewater discharged from each plant. This tendency is particularly high when the plant discharges ammonia-containing wastewater with a high ammonia concentration.
  • an object of the fifth invention is to provide a process operation support device applicable to the activated sludge wastewater treatment facility, a chemical process that receives and processes each treated body from a plurality of upstream chemical processes, and discharges the treated body.
  • a process cultivation support device that predicts, at the time of operation, at least one of the index operation conditions of the target chemical process and the index characteristic of the treated object based on the operation e data of the upstream chemical process. It is. Disclosure of the invention
  • the apparatus for controlling the dissolved oxygen content of the air coffin according to the present invention includes a raw water tank (1).
  • the aeration tank (4) is connected to an oxygen supply pipe (25), a return sludge receiving pipe (47) from a sedimentation tank (41), and treated water / sludge.
  • the activated sludge wastewater treatment equipment having a discharge pipe to the sedimentation tank (4 1) it is characterized in that it is a control device for the dissolved oxygen concentration of the aeration tank (4) equipped with the following instrumentation equipment: And
  • a closed-type air tank is used, and the pressure detector (a) measures the internal pressure of the aeration tank in the aeration tank.
  • a control device for dissolved oxygen concentration which is equipped with a pressure control valve (7) and a pressure control controller (12) for adjusting the internal pressure of the air tank in the exhaust pipe of the air tank.
  • a total model that approximates the dynamic characteristic of the dissolved oxygen port is used as a prediction model of the PID control device with a prediction function.
  • a PID control device with a short-term puncture function is used as a PID control device with a prediction function
  • the PD controller with short-term prediction function calculates the amount of oxygen to be supplied based on the measurement result of the dissolved oxygen concentration meter and the target value of the dissolved oxygen concentration calculated by the neural net optimizer.
  • the raw water temperature, flow rate, water purple ion concentration (PH), chemical oxygen demand (COD), biochemical oxygen demand (BOD5), At least one selected from the group consisting of substance (SS), temperature of tank, pressure of dissolved tank, dissolved oxygen concentration, mixed liquid in tank (ML SS), and «volatile mixed substance in liquid (MLVS S) Use one or more types of data.
  • oxygen having a purity of 50% or more is used.
  • a method of controlling the dissolved oxygen concentration in the air tank using the control device is also a part of the first invention.
  • the required oxygen S is calculated from the ratio of the target dissolved oxygen concentration in the warm-up tank to the predicted dissolved oxygen concentration in the tank.
  • the pressure control valve of the aeration tank in order to eliminate the pressure fluctuation in the aeration tank caused by the supply of oxygen, it is preferable to set the pressure control valve of the aeration tank to operate with a delay time with respect to the supply of the acid purple.
  • a PID controller with a prediction function is an ordinary PID controller with a model prediction function.
  • a statistical model such as an ARIMAX model that approximates the dynamic characteristic of the dissolved oxygen S degree with respect to the oxygen supply amount is preferable.
  • the ARI MAX model is an Aito Reg-ssive Integrated Moving Average exogenous model (moving average exogenous variable model after self-regression).
  • such a PID control device with a prediction function takes in a signal from a dissolved oxygen concentration meter and uses the past control data and the dynamic characteristic model of the controlled object to determine the behavior of the dissolved oxygen concentration.
  • the concentration of dissolved oxygen is controlled by predicting and narrowing this to a preset target value of dissolved oxygen port and adjusting the supply amount of acid accumulation so as to reduce the deviation.
  • the PID control device with a predictive function used in the first invention can incorporate a statistical model that can approximate the dynamic characteristics of the concentration of dissolved acid ⁇ to be controlled. It shows good control performance even for processes with long time constants. In addition, by considering the noise model, it is possible to maintain good control performance even with respect to process disturbance.
  • the dissolved oxygen concentration meter that sends a signal of the dissolved oxygen concentration to the PID controller with this prediction function is installed near the outlet where sludge and treated water flows out of the aeration tower.
  • the supply amount of oxygen is automatically changed according to the output of the PID controller with the prediction function described above, and the set value of the flow rate of the acid purple supply amount meter is automatically changed.
  • the control can be performed by controlling the oxygen supply amount control valve by reducing the amount.
  • the first invention method is to control the dissolved oxygen concentration of a closed-type aerated cypress using the dissolved oxygen concentration control device S of the air tank as described above.
  • the acid mixture used in the case of the closed aeration tank has a high purity in view of treatment efficiency and control responsiveness.
  • the purity is preferably an oxygen content of 50% or more, preferably 70% or more, more preferably 90% or more, and even more preferably 95% or more.
  • a closed aeration tank is suitable from the viewpoint of efficient use of supplied oxygen.
  • another control device uses a target dissolved oxygen concentration of the aeration tank obtained by a long-term, multivariable and nonlinear predictive optimization calculation as a target value of the short-term linear predictive control. Is used to calculate the amount of oxygen required in the sleep tank and adjust the amount of supplied oxygen based on this. It performs stable water treatment even when there are various fluctuation factors and temporal fluctuations caused by process disturbance.
  • a neural 'net' optimizer used in another control device of the first invention learns in advance the relationship between process data during the past operation and the dissolved oxygen concentration, and processes the process during operation IE based on this. From the data, a target value of dissolved oxygen concentration is calculated to optimize cost functions related to oxygen consumption, wastewater treatment fi, wastewater quality, etc., and this is calculated using a PID controller with a short-term prediction function (Predictive PID Controller).
  • process data which are variables to be input in the neural net optimizer of the apparatus of the present invention include raw water temperature, flow rate, hydrogen ion concentration (PH), chemical oxygen demand (COD), biological Chemical oxygen demand (B0D5), suspended solids (SS), temperature of tank, pressure, dissolved oxygen concentration, mixed liquid in tank, suspended solid in liquid (ML SS), mixed liquid in tank Group consisting of (MLVS S)
  • the wastewater from each plant is individually flowed to fi, pH, C0D, etc. Is preferably measured.
  • the process data to be entered is not limited to the above.
  • the neural network optimizer used in another control device of the first invention has a three-layer structure having an input layer, a middle tier, and an output layer. If the number of layers is two, the nonlinear model cannot be handled. On the other hand, if the number of layers is four or more, the model becomes too complicated and “training” the model takes too much time, and the practicality tends to decrease.
  • the neural net optimizer dissolves the various types of process data from the various process data described above in consideration of the upper and lower limits of each variable and the cost function.
  • the target value of the dissolved acid concentration is given to the PID controller with a short-term prediction function. be able to.
  • the PID controller with short-term prediction function used in the first invention is a normal PID controller.
  • the ID control device has a short-term model prediction function. Specifically, using the operating data indicating the relationship between the past dissolved oxygen concentration and its target value and the set value of the oxygen supply amount, the future change of the dissolved oxygen concentration is determined using a linear model of the controlled object. It is a calculation.
  • the linear model to be controlled it is preferable to use a discrete linear model (ARIMAX model) that takes into account the dynamic characteristics of dissolved oxygen 'concentration with respect to the amount of supplied oxygen and noise.
  • the ARIMAX model is an “Au to Regressive integrated Moving Average exogenous model” (a self-burning integral moving average exogenous variable model).
  • such a PID control device with a short-term prediction function uses a signal taken from a dissolved oxygen concentration meter and the above linear model.
  • This PID controller with a short-term prediction function can incorporate a statistical model that can approximate the dynamic characteristics of the dissolved oxygen concentration, which is the object of control. It shows good control performance even for processes with long time constants. In addition, by considering the noise model, it is possible to maintain good control performance without adjusting the model parameter values even for process disturbances.
  • the dissolved acid purple port meter that sends a signal of dissolved oxygen concentration to the PID controller with this short-term prediction function is placed near the outlet where sludge and treated water flows out of the air tank. It is preferable for accurately grasping.
  • the first invention by providing the above-described control device for the dissolved oxygen concentration in the air tank in the activated sludge wastewater treatment facility, it is possible to predict and control the dissolved oxygen concentration in the aeration tower.
  • the dissolved acid purple can stabilize the agricultural level, so that the quality of the treated water is stable.
  • the short-term prediction and the long-term prediction not only the above-described dynamic control but also the control of cost and minimum by the neural net optimizer can be simultaneously performed. Invention of 2
  • the activated sludge wastewater treatment equipment according to the present invention (second invention) is the same as the activated sludge wastewater treatment equipment described above, except that a heating device is provided in the neutralization tank (15) and a raw water supply pipe (24).
  • a heating device is provided in the neutralization tank (15) and a raw water supply pipe (24).
  • Neutralization tank characterized by having a heat exchanger for cooling (28), and adding a temperature control device for the air tank consisting of the following instrumentation equipment to control them.
  • Raw water temperature detector (16) that measures the temperature of raw water supplied from (15) to the air tank (4)
  • the temperature control device of the aeration tank is configured such that the temperature controller (19) in Hikiki is the master side and the temperature controller (17) in the raw water is the slave side. And a control loop is formed.
  • the activated sludge wastewater treatment equipment has a temperature control device using a split range controller as the raw water temperature separator (17).
  • the activated sludge wastewater treatment equipment that is the object of the second invention is installed in the following order: a raw water tank 14, a neutralization tank 15 with a heating device, and an aeration tank 4.
  • a raw water tank 14 is a tank that receives the wastewater from one or more drainage systems
  • the neutralization tank 15 is a tank that adjusts the pH of the wastewater and Z or nutrients prior to treating this wastewater with activated sludge. A coffin for making adjustments.
  • the raw water and the neutralization tank can be combined into one tank.
  • This neutralization tank is provided with a heating device.
  • a heating device either an indirect heating device such as a jacket or a coil or a direct heating device such as a steam blowing tube may be used, but a steam blowing tube is preferable in terms of thermal efficiency and ease of maintenance and inspection. .
  • the wastewater treatment with activated sludge is performed.
  • the refractory and the neutralization tank are connected by a raw water supply pipe with a heat exchanger for cooling.
  • the type of the heat exchanger is not particularly limited, and may be, for example, a double tube type or a multi tube type.
  • the location of the heat exchanger is not particularly limited as long as it is in the middle of the connection pipe between the neutralization tank and the aeration tank, but it is efficient to avoid the influence of outside temperature on the raw water after temperature control. In order to perform a safe operation, it is preferable to provide it at a position close to the aeration tank.
  • Raw water temperature detector 16 that measures the temperature of raw water supplied from neutralization tank 15 to aeration tank 4
  • Raw water temperature controller 17 that regulates the temperature of raw water supplied to the aeration tank based on the output of raw water temperature detector 16 and the output of air tank temperature controller 19
  • Heating medium supply control valve for the heating device of the neutralization tank which is the heating operation end of the raw water temperature controller 17
  • temperature detectors As these temperature detectors, temperature controllers and control valves, those generally used for instrumentation can be used.
  • cooling water re-cooled water, cold water, or the like
  • the operation terminals can be switched between heating and cooling with one controller, thus reducing the size of the equipment and reducing equipment costs. It becomes possible.
  • the air temperature control method of the second invention is to control the temperature in the air tank of the activated sludge wastewater treatment equipment using the above-described control device.
  • the temperature can be controlled without affecting the activity of the microorganisms in the sleep tank, so that the fluctuation of the dissolved oxygen concentration in the tank can be reduced. it can. This makes it possible to operate the wastewater treatment equipment and stabilize the quality of the treated water.
  • the activated sludge wastewater treatment equipment according to the present invention (third invention) is the same as the activated sludge wastewater treatment equipment described above, except that the following equipment is provided to control the liquid level of the raw water tank. It is characterized by adding an equilibrium liquid level control device for the water tank.
  • a raw water supply pipe that adjusts the flow rate of raw water supplied to the aeration tank based on the output of the raw water tank level controller (30) and the output of the raw water flow S detector (31) Raw water flow controller (32)
  • the uniform liquid level control device of the raw water tank has a cascade in which the raw water level controller (30) is the master and the raw water flow controller (32) is the slave. It is characterized in that a single control loop is formed.
  • the activated sludge wastewater treatment equipment has a uniform liquid level controller using a regulator with a GAP as the raw water tank level controller (30).
  • At least two types of switchable proportional gains can be measured with a controller with a GAP, one of which is a proportional gain for normal flow level control, and the other is a raw water tank.
  • Proportional gains to avoid deviations from the controllable liquid level range, so that when the flow rate of incoming wastewater changes, the liquid level fluctuation in the raw water tank does not exceed the allowable range.
  • a cross-sectional area of the raw water tank, a level gauge gain, and a flow rate level controller which is set based on the flow rate controller gain.
  • the activated sludge wastewater treatment equipment that is the object of the control device of the third invention is provided in the order of a raw water tank 14, a neutralization tank 15 and an aeration tank 4, and the neutralization tank 15 and the air tank are connected.
  • the facilities are connected by raw water supply pipes 24.
  • the raw water tank 14 is a tank that receives the wastewater from one or more drainage systems
  • the neutralization tank 15 is a tank that adjusts the pH of the wastewater and / or adjusts the wastewater prior to activated sludge treatment.
  • Extra ⁇ ⁇ ( ⁇ 26th thread) is a tank for adjusting nutrition.
  • the raw water tank and the neutralization tank may be combined into one tank.
  • a raw water tank liquid level detector 29 and a raw water tank liquid level controller 30 are installed in the raw water tank. It is preferable to use a controller with a GAP as the raw water tank level controller in terms of controllability.
  • the air tank and the neutralization tank that perform wastewater treatment with activated sludge are connected by a raw water supply pipe 24 having a raw water flow detector 31 and a raw water flow controller 32.
  • the flow S-node method of the raw water flow collector is not particularly limited, and a control valve such as a control valve that can adjust the flow rate continuously or sequentially can be used. For precise control, those capable of continuous adjustment are preferable.
  • the installation location is not particularly limited as long as it is in the connection pipe connecting the neutralization tank and the Akebono Tank, but if a pump or the like is installed to transfer raw water, it should be installed. It is usually installed in the middle of the connection pipe on the air »side (outside).
  • the raw water flow S regulator 32 is controlled based on the output of the raw water tank liquid level controller 30 and the output of the raw water flow a detector 31.
  • This raw water coffin liquid level By forming a cascade control loop with the node 30 as the master side and the raw water flow fiig node 32 as the slave side, the raw water tank level controller on the master side becomes While keeping the fluctuation of the liquid level in the raw water tank within the allowable upper and lower limits from the set value, the sudden change in the supply flow from the neutralization tank to the aeration tank is moderated by the raw water flow S controller on the slave side. And more stable control is possible, which is preferable.
  • a regulator with a GAP is used as the raw water tank level controller, the accuracy of the HI node will be further improved.
  • a controller with GAP a PI controller that switches at least two types of proportional gains is preferable.
  • One gain is a proportional gain for normal equalizing liquid level control, and the other is an allowable liquid level in raw water tank management. It is preferable to use a proportional gain to avoid deviation from the range.
  • the fluctuation of the liquid level of the raw water tank due to the assumed fluctuation of drainage S is as follows: 1) Raw water ⁇
  • the proportional gain for normal To adjust the output so that the supplied flow rate of raw water to the air is kept constant.
  • proportional gains are preferably set based on the cross section 3 ⁇ 4 of the raw water tank, the liquid level gauge gain, and the flow rate control juice gain.
  • the third aspect of the present invention provides a method for controlling the level of liquid in a raw water tank, wherein the liquid level of the raw water tank of the activated sludge wastewater treatment equipment and the flow rate of raw water supplied to the Akebono gas tank are controlled by using the above-described control device. That is.
  • the control device of the third aspect of the present invention By using the control device of the third aspect of the present invention, even when the amount of received wastewater fluctuates, the level of the raw water tank and the flow rate of the raw water to the Hikiki tank are controlled at the same time, so that the raw water tank is It can be used to mitigate sudden changes in the raw water supply flow fi to the BS tank. This makes it possible to stabilize the wastewater treatment load on aerobic microorganisms and to improve and stabilize the quality of treated water. Fourth invention
  • the activated sludge wastewater treatment equipment (fourth invention) includes a process computer for equipment control added to the activated sludge wastewater treatment equipment described above, and the temperature and the temperature of an aeration tank in the wastewater treatment equipment are controlled.
  • a data input unit for inputting the operation data or desired set value data of the dissolved oxygen concentration, the flow rate of nutrients supplied to the neutralization tank, and the sludge flow rate returned from the sedimentation tank to the aeration tank to the above process computer
  • a prediction calculation unit for predicting the position of the solid-liquid interface of the sedimentation tank and the turbidity behavior of the treated water in the liquid phase of the input data by a calculation process using a neural network model based on the input data; It is characterized by having a driving support device provided with a driving support unit for setting the operating conditions of the activated sludge facility.
  • a process computer for equipment control is added to the above-mentioned activated sludge wastewater treatment equipment, and the position of the solid-liquid interface of the sedimentation tank in the wastewater treatment equipment and the treated water in the liquid phase portion are added.
  • Calculating unit that calculates the optimum conditions for the flow rate of the sludge flow from the settling tank to the air tank, and the operating conditions based on the results of the optimization calculation. It is characterized by having a driving support device S comprising a driving support unit to be set.
  • the present inventor has determined from the factors governing the operating state, namely, the input variables consisting of the operating conditions and the process state quantity, and the impulse and the solid-liquid interface position indicating the property of the treated water after the activated sludge treatment.
  • the activated sludge wastewater treatment equipment includes a raw water tank for receiving wastewater, a neutralization tank for injecting a chemical solution into the wastewater for pretreatment, and adjusting the temperature of the wastewater, and a wastewater.
  • Aeration tanks for oxidizing, decomposing, and coagulating mainly organic matter in the wastewater while purifying the wastewater with oxygen, and a sedimentation tank for precipitating the condensed sludge are treated by the activated sludge method.
  • the feature is that the output variable is predicted and calculated from the input variable by the neural net model.
  • the neural network means a neural network, and is a collective term for a system in which nerve cells (neurons) are formed by synapses.
  • nerve cells nerve cells
  • Various models have been proposed in addition to perceptron, depending on the mode of connection between nerve cells and the method of learning.
  • the neural network model used in the present invention is a neural network model.
  • the neural network model used in the present invention has a three shield structure of an input layer, an intermediate S, and an output layer.
  • a teacher signal is given to the input S and the output.
  • Can be Signals from the upper layer are weighted and then aggregated in the lower layer, and output to the lower layer via a sigmoid function.
  • the input eyebrows are formed on the upper layer and the middle employment is formed on the first floor of the lower eyebrow, the middle eyebrows are formed on the upper layer and the output employment is formed on the second layer of the lower layer.
  • Weighting between layers is performed by backpropagation learning using the steepest descent method. The weighting coefficient between the input and output learned and adjusted by this input and output data becomes the neural net model.
  • the prediction operation device is a computer having a known configuration, and the neural network model is constructed and built in the computer having the known configuration. Preferably, it is built in a workstation provided as a higher-level device of a process computer that monitors and controls the operation of the wastewater treatment equipment.
  • the number of output variables and input variables is not practically limited, and the output variable is the port of treated water, and the input variable is the operating condition and process condition ffifi that affects the turbidity of the treated water. Turbidity of the treated water is predicted by the model.
  • the output variables are the turbidity of the treated water and the solid-liquid interface position in the sedimentation tank, and the input variables are the operating conditions related to at least one of the turbidity of the treated water and the solid-liquid interface position in the sedimentation tank.
  • the process state quantity the turbidity of the treated water and the position of the solid-liquid interface in the settling tank are predicted using a neural network model.
  • the operating conditions and the process deformation related to at least one of the turbidity of the treated water and the position of the solid-liquid interface in the precipitation tank depend on the flow rate of the chemical solution supplied to the neutralization tank and the temperature of the wastewater in the air tank. It can also be the sludge flow rate to be returned to the Hioki tank based on the purple acidity of the dissolved acid in the wastewater in the air tank and the sedimentation.
  • a model reverse to the above-described neural net model was constructed, in which the input variables were the turbidity of the treated water and the solid-liquid interface position in the precipitation tank, and the output variables were the chemical solution to the neutralization tank. It is also possible to predict and calculate the optimum values for the supply flow rate, the temperature of the wastewater in the aerated plant, the dissolved oxygen concentration in the wastewater in the air tank, and the return sludge flow rate returned from the sedimentation tank to the aeration tank.
  • the operating conditions of the wastewater treatment facility and the process state quantity are variable.
  • the output variables from the input variables can be predicted by the neural net model. Can be calculated.
  • the wastewater treatment equipment according to the present invention by detecting an abnormal sign before the wastewater treatment equipment reaches an abnormal state, objective information necessary for coping with the abnormal state is operated sufficiently prior to the occurrence of the abnormal state. Since it can be given to workers, the wastewater treatment operation is stable, and there is no occurrence of a situation where treated water with high turbidity flows out.
  • the present inventors Upon completing the fifth invention, the present inventors have conducted intensive studies to solve the above problems, and as a result, the cultivation data of the drainage source process was used as an input variable of the upper sub model, and the upper sub model was used. We have learned that using the output of the model as the input of the sub-model on the lower side makes it possible to construct a wide range of accurate prediction models.
  • the operation data of each wastewater source is collected by the process and the computer of the wastewater treatment equipment, and this operation is performed.
  • the data was used to predict the response of the solid-liquid interface position of the sedimentation tank and the turbidity of the treated water, which are indicators of the stability of the activated sludge process, using a hybrid model built on the wastewater treatment equipment side. Predict the signs of rising turbidity.
  • the process operation support device receives and processes each of the treated bodies from a plurality of upstream chemical processes, When operating a chemical process that effluents a process, the process operation that predicts at least one of the index operation conditions of the target chemical process and the index characteristic of the process based on the operation data of the upstream chemical process A support device,
  • the statistical model calculates the input data to the neural network as output data from the input g data of the upstream chemical process as output data, and the neural network model calculates the data input from the total model and the target chemical process.
  • the feature is that the prediction operation is performed for at least one of the index operation conditions of the target chemical process and the property of the treated body from the evening.
  • a neural network model is constructed from the upper neural network model and the lower neural network model.
  • the upper neural network model outputs the input data to the lower neural network model from the input operation data of the upstream chemical process.
  • the lower neural network calculates the target chemical process from the data input from the upper neural network, the data input from the statistical model, and the operation data obtained from the target chemical process. For example, at least one of the index operation conditions and the processing facility may be predicted and calculated.
  • the upstream chemical process is a first-class process in which the ammonia-containing wastewater having a high concentration of ammonia is discharged as an object to be treated, and a wastewater having a lower ammonia concentration than the ammonia-containing wastewater. And a second classification process that discharges
  • the target chemical process is a wastewater treatment facility that treats ammonia-containing wastewater and wastewater discharged from the first class process and the second class process, respectively, by the activated sludge method,
  • the statistical model is a PCA (Principal Component Analysis) model that performs principal component analysis of the driving data of the second class of processes,
  • the upper-level neural net model calculates the ammonia concentration estimation model for estimating the ammonia concentration of the ammonia-containing wastewater from the operation data of the first classification process, and calculates the residence time of the wastewater in the aeration tank and settling tank of the wastewater treatment facility.
  • SA residence time calculation
  • the lower neural net model predicts and calculates the solid-liquid interface position of the sediment bridge of the wastewater treatment facility as the index 3 conversion condition and the turbidity of the treated water as the index property.
  • the prediction arithmetic unit is a computer having a known configuration, and the statistical model and the neural network model are constructed and built in the computer having the known configuration. Preferably, it is built in a workstation provided as a higher-level device of a process computer that monitors and controls the operation of the wastewater treatment facilities.
  • the treatment in the present invention is a broad concept including a chemical reaction in addition to treatment such as wastewater treatment, and there is no limitation on the types of the wave treatment body and the treatment body.
  • a hybrid with a staircase-like structure that combines the operating conditions obtained from the chemical process with the neural network model that predicts and calculates at least one of the index operating conditions of the target chemical process and at least one of the properties of the processing object A process operation support device equipped with a predictive calculation device with a built-in tool model, and predicts at least one of the index operation condition of the target chemical process and the index characteristic of the treated object based on the 3 ⁇ 4G data of the upstream chemical process Has been realized.
  • FIG. 1 is a schematic diagram showing an example of a configuration of a control device for a dissolved oxygen concentration in an aeration tank according to the first invention.
  • FIG. 2 is a graph showing a deviation of a dissolved oxygen concentration in a gas tank from a target value before and after starting control using the dissolved oxygen concentration control device of the first invention.
  • FIG. 3 is a schematic diagram showing an example of the configuration of the control device for the dissolved oxygen concentration in the air tank according to the first invention.
  • FIG. 4 is a schematic diagram showing an example of the air tank temperature control device of the second invention and a wastewater treatment facility using the same.
  • FIG. 5 is a graph showing the temporal fluctuation of the temperature in the tank of the aeration tank before and after starting the temperature control of the aeration tank using the temperature control device of FIG.
  • FIG. 6 is a graph showing the temporal variation of the dissolved oxygen port of the aeration tank before and after starting the temperature control of the aeration tank using the temperature control device of FIG.
  • FIG. 7 is a schematic diagram showing an example of a configuration of a uniform flow level control device for a raw water tower according to the third invention, and an activated sludge wastewater treatment facility using the same.
  • FIG. 8 is a graph showing the temporal fluctuation state of the raw water tank liquid level before and after the control using the uniform water level control device for the raw water tank in FIG. 7 is started.
  • FIG. 9 is a graph showing the temporal fluctuations of the flow rate of raw water supplied from the neutralization tank to the aeration tank before and after the control using the uniform flow level controller of the raw water tank in FIG. 7 is started.
  • Fig. 10 is a graph showing the temporal variation of the turbidity (amount of suspended solids) of the treated water of the wastewater treatment facility before and after the control using the uniform flow level control device for the raw water tank in Fig. 7 is started.
  • FIG. 11 is a schematic diagram showing an example of a nutrient source supply control device for an activated sludge wastewater treatment facility of the present invention, and an activated sludge wastewater treatment facility using the same. (Aeration ⁇ is omitted)
  • Fig. 12 is a graph showing the comparison between the estimated value of the fluctuation of the ammonia concentration in the wastewater of the ammonia discharge equipment over time by the soft sensor used in the control device in Fig. 11 and the actually measured value by the process analysis. .
  • FIG. 13 is a block diagram showing a general configuration of an activated sludge wastewater treatment facility.
  • FIG. 14 is a block diagram showing the configuration of the activated sludge wastewater treatment facility according to the fourth invention.
  • Figure 15 is a flow sheet showing the configuration of the wastewater treatment equipment main body.
  • FIG. 16 is a block diagram showing a configuration of a process driving support device according to the fifth invention.
  • Figure 17 shows the activated sludge wastewater treatment system to which the operation support device of the process of Example 7 was applied.
  • FIG. 18 is a block diagram showing the structure of a hybrid model. BEST MODE FOR CARRYING OUT THE INVENTION
  • Example 1 Example of the first invention
  • FIG. 1 shows an instrument and a control device around an aeration tank.
  • Fig. 1 shows a closed aeration tank (4), a raw water flow S meter (1) for measuring the flow rate of raw water flowing into the tank, and a flow S control valve (2) returned from the sediment ⁇ .
  • sludge flow meter (3) which measures the flow rate of sludge
  • dissolved oxygen concentration meter (5) which measures the dissolved oxygen concentration in the sleepy tank
  • pressure detector (6) which measures the internal pressure of the aeration tank
  • a pressure regulating valve (7) and a pressure control controller (12) provided on the exhaust pipe of the aeration tank, an oxygen supply amount regulating valve (9) that regulates the flow fi of oxygen supplied to the aeration tank, Around lined ft.
  • Acid purple supply S measuring device (8) installed immediately adjacent to the valve, PID control device with a prediction function to calculate the amount of acid purple to be supplied based on the measurement result of the dissolved oxygen concentration meter ( 1 1), and the oxygen supply amount control valve is adjusted based on the measurement result of the oxygen supply amount measurement device and the oxygen amount indicated by the PID control device with the preliminary function.
  • This figure shows Akebono's dissolved oxygen port level control system consisting of an oxygen supply line controller (10).
  • the measurement result of the dissolved acid purple iS meter (5) in the air is stored in a PID control device (11) having a prediction function.
  • the PID controller (11) with the prediction function described above calculates the oxygen supply amount that can be closer to the target dissolved oxygen concentration.
  • the result is output to the oxygen supply maximum controller (10), which is compared with the measurement result of the acid purple supply amount measuring device (8), and the oxygen supply amount control valve (9) is operated to obtain the oxygen supply amount.
  • Control supply S is compared with the measurement result of the acid purple supply amount measuring device (8), and the oxygen supply amount control valve (9) is operated to obtain the oxygen supply amount.
  • the pressure control valve (7) is operated by the pressure controller (12) of the aeration tank, and the gas in the air tank (4) is discharged to a predetermined pressure.
  • FIG. 2 shows an example of a measurement result of the dissolved oxygen concentration in the air tank before and after starting the predictive control by the dissolved oxygen concentration control device of the first embodiment. (Before the control by the apparatus of Example 1 was started, control was performed using the internal pressure of the aeration tank and the oxygen concentration of the gas phase as control factors by the usual method.)
  • FIG. 3 shows a juicer and a control device around an aeration tank.
  • Figure 3 shows a closed aeration tank (4), a raw water flow meter (1) that measures the flow rate of raw water flowing into it, and its flow control valve (2), and the flow rate of sludge returned from the sedimentation tank.
  • dissolved oxygen port meter to measure dissolved oxygen concentration in gas tank (5)
  • pressure detector to measure internal pressure of gas tank (6)
  • Akebono tank The pressure control valve (7) and the pressure control controller (12) provided on the exhaust pipe, the oxygen supply flow control valve (9), which controls the flow fi of oxygen supplied to the pressure tank, and the oxygen supply flow control valve
  • Oxygen supply measuring device (8) raw water temperature, flow rate, hydrogen ion concentration (PH) and chemical oxygen demand (COD), biochemical oxygen demand (BOD5), suspension Substance (SS), temperature and pressure of Akebono Aeration tank, dissolved oxygen concentration, suspension of mixed liquid in tank (ML SS), volatile suspension of mixed liquid in tank (ML VSS)
  • Neural Net Optimizer 13
  • PID control device with short-term prediction function (11) that calculates the amount of oxygen to be supplied based on the target value of the temperature, the measurement results of the oxygen supply amount measurement device, and the instruction of the PID control device with prediction function
  • the figure also shows a dissolved oxygen concentration control device for a gas tank comprising an acid purple supply amount controller that adjusts an oxygen supply amount control valve based on the measured oxygen amount.
  • FIG. 4 shows instruments and control devices around a raw water tank, a neutralization tank and an aeration tank.
  • Fig. 4 shows the temperature control of the Akebono tank with a cascade control loop using the temperature controller 19 in the air tank as the master side controller and the split-range type raw water temperature controller 7 as the slave side controller. The device is shown.
  • steam (hereinafter sometimes abbreviated as “steam”) is used as the heating medium
  • cooling water is used as the cooling medium.
  • the steam supply silk connection valve 20 is used when heating is required in winter, and the cooling water supply control valve 21 is used when cooling is required in summer.
  • the master-side temperature controller in the air tank 19, which is the master-side controller calculates the amount of steam required to approach the target temperature from the deviation between the target temperature in the aeration tank and the actual temperature.
  • a signal is sent to the raw water temperature split range controller 17 as a set value.
  • the raw water temperature split range type controller 5, which is a slave-side controller adjusts the steam supply control valve 20 to follow the set value.
  • the cooling water supply control valve 21 is used to cool the raw water in the same manner.
  • FIG. 5 is a graph showing the time variation of the tank temperature before and after the start of the tank temperature control of the aeration tank using the control device of FIG.
  • the tank temperature of the aeration tank indicated by T T 1 was the target after the start of control, despite the fluctuation range of 6 to 7 ° C before the start of control.
  • Incense (26th thread) It can be seen that the temperature is within ⁇ 0.5 ° C with respect to the temperature of 36 ° C.
  • Fig. 6 shows the time variation of the dissolved oxygen port (D O) in the aeration tank when the operation shown in Fig. 5 was performed. It was observed that the fluctuation range was about 1 ppm before the temperature control of the aeration rate was started, but it was about 0.5 ppm after the start of the control, and it is observed that it tends to decrease further.
  • Example 4 Example of the third invention
  • FIG. 7 shows an instrument and a control device around the raw water tank, the neutralizing coffin and the air tank, that is, the raw water tank liquid level controller 3OA with GAP on the master side.
  • the figure shows a control device for the uniform liquid level in the raw water tank, which consists of a cascade control loop in which the controller and the raw water flow controller 32 are used as slave-side regulators.
  • the controller with GAP can set two types of proportional gain, one of which is when the liquid level in the raw water tank is near the set value, and mainly when the raw water supply flow rate is within the specified range. Output to the raw water flow controller. Another proportional gain is when the liquid level in the raw water tank is out of the set value and is near the permissible limit. Maintain the liquid level in the raw water tank within the allowable range rather than keeping the raw water supply flow rate constant.
  • These two types of proportional gains were determined by an adjustment method that considered the cross-sectional area of the raw water tank, the level gauge gain, and the flow controller gain.
  • FIG. 8 is a graph showing the temporal fluctuation of the liquid level of the raw water tank before and after starting the uniform flow level control of the raw water tank using the control device of FIG.
  • FIG. 9 is a graph showing a temporal change in the flow rate of raw water supplied from the neutralization tank to the aeration tank when the operation shown in FIG. 8 is performed. Despite a large change in the liquid level of the raw water tank after the start of control, there is no rapid change in flow rate, indicating that the degree of change in flow fi has been alleviated.
  • Figure 10 shows the time course of turbidity (the amount of suspended solids K), which is one of the indicators of stabilization of the activated sludge process, measured at the same time.
  • the turbidity also increased when the raw water flow increased immediately after the start of the control, but it has been found that the turbidity has been stabilized at a low value thereafter.
  • This embodiment is an embodiment of the invention comprising the above-described first to third inventions, and is an example of a chemical plant or the like having a facility for discharging wastewater containing ammonia (hereinafter referred to as “ammonia discharge facility”).
  • the present invention relates to a control device and a control method for a nutrient source supply fi of an activated sludge process used in a general wastewater treatment plant.
  • the nutrients used in the activated sludge treatment are generally ammonia (nitrogen source), phosphoric acid (phosphorus source) or methanol (organic material source), and these nutrient sources are used as they are or as aqueous solutions. Therefore, a method of adding a fixed amount continuously or intermittently is usually used.
  • the ammonia S discharged varies depending on the operation of the ammonia discharge facility.
  • ammonia itself is a nutrient source of microorganisms, so in a treatment facility that uses the constant fi addition method, fluctuations in the amount of ammonia will cause an increase in the content of nutrient sources in the wastewater supplied to the air tank.
  • the operation of activated sludge treatment equipment may become unstable, leading to fluctuations in treated water quality and foaming and bulking in air.
  • the activated sludge wastewater treatment equipment that receives the wastewater from the ammonia discharge equipment accurately predicts the amount of ammonia in the received wastewater, and controls the amount of nutrient source supplied to the wastewater.
  • a control device capable of stabilizing the operation of the treatment equipment and the water shortage of the treated water, and a control method of the wastewater treatment equipment using the same are realized.
  • the present inventors have proposed a method of exchanging data between a process of an ammonia discharge facility, a process of a wastewater treatment facility and a computer, and a process of a wastewater treatment facility.
  • good control performance could be obtained by equipping a computer with a soft sensor to predict the ammonia content in wastewater and control the supply of nutrient sources accordingly.
  • the activated sludge method wastewater treatment installation head which is the target of the control device of this embodiment, is a facility that receives and treats wastewater including wastewater from the ammonia discharge facility.
  • the facility is composed of 15 and an aeration tank, and is connected to a neutralization tank 15 with piping 53 supplying nutrient sources.
  • the raw water tank 14 is a tank that receives wastewater from one or more drainage systems including the wastewater from the ammonia discharge facility, and the neutralization tank 15 is a wastewater treatment system that treats this wastewater prior to activated sludge treatment.
  • a nutrient source flow detector 55 and a nutrient supply fi regulator 35 are installed in the nutrient source supply pipe 53 for adding a nutrient to the neutralization tank.
  • the operating status of the ammonia discharge equipment is monitored and controlled by a process computer 31 A for the equipment.
  • the operation data is stored in, for example, a LAN (mouth area, network) or the like.
  • the process ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ computer has a soft sensor 33 that can estimate the ammonia emission fi of the ammonia discharge facility based on the operation data of the ammonia discharge facility.Based on the estimated value of the soft sensor, Calculate the nutrient supply fi described above.
  • the soft sensor performs the prediction calculation using a neural 'network (neural network' optimizer ') because the prediction accuracy becomes high.
  • ammonia As the nutrient used, the above-mentioned ammonia, phosphoric acid, methanol and the like are preferable, and it is particularly preferable to use these as an aqueous solution. Among them, the use of ammonia is preferred in the case of the present invention because the same nutrient as the wastewater is used, and the environment for microorganisms is more stable.
  • the form of the nutrient source supply amount regulator 35 is not particularly limited.
  • a flow rate such as a control valve is controlled continuously or sequentially. It is preferable to be able to adjust to
  • the method for controlling the supply of nutrients according to the present embodiment is to control the amount of supply of nutrients in the activated sludge wastewater treatment facility for wastewater including wastewater from an ammonia discharger by using the control device described above. It is.
  • FIG. 11 shows a control device of the activated sludge wastewater treatment equipment for wastewater including wastewater from the ammonia discharge equipment according to the present embodiment.
  • Process of ammonia discharge equipment '' Computer 31 A and process of wastewater treatment equipment '' Computer 34 is connected to LAN 31 B for data exchange
  • the process data of ammonia discharge equipment is process.
  • the information is transmitted to the process computer 34 of the wastewater treatment facility by communication, and the estimated value of the amount of discharge monum is calculated by the soft sensor 33 using the neural network on this computer.
  • the difference between the estimated amount of ammonia and the required nutrient source S determined from the optimum nutrient source ratio (BOD weight S ratio) given as the operating condition of the activated sludge equipment is used to determine the nutrient source connected to the neutralization tank. It is given as a set value to the nutrient source supply regulator 35 installed in the supply pipe.
  • Fig. 12 shows the change over time between the calculated value (dashed line) of the ammonia concentration in the wastewater of the ammonia discharge facility estimated by the control device including the soft sensor of the present invention (dashed line) and the measured value (solid line) by the process analysis. A comparison is shown. As is clear from this figure, both of them show a good correlation, and it is understood that the control device of the present invention has high accuracy. By using the control device of this embodiment, the operation of the ammonia discharge equipment is improved. Even if the situation changes, the amount of ammonia flowing from the facility can be quickly and accurately estimated and reflected in the nutrient source supply S to the activated sludge facility, thus stabilizing and treating the facility. Improvement of water poverty can be expected.
  • FIG. 14 is a block diagram showing the overall configuration of the wastewater treatment apparatus based on the activated sludge method of this embodiment.
  • Figures and 14 are flow sheets showing the configuration of the wastewater treatment device main body.
  • the wastewater treatment device 36 (hereinafter simply referred to as wastewater treatment device 36) by the activated sludge method of this embodiment includes a wastewater treatment device main body 37 and a wastewater treatment device main body 3. 7, a process computer 34 that monitors and controls the process, a workstation 38 provided as a higher-level computer of the process computer 34, and an operation support device 39 that provides operation guidance to operators if necessary. It is composed of The driving support device 39 can be included in the process computer 14.
  • the main unit 37 receives and discharges wastewater, and is integrally formed with the raw water tank 14 and raw water tank 14 to perform pretreatment such as pH adjustment and supply of nutrients to the wastewater.
  • a neutralization tank 15 for temperature adjustment
  • a pump 40 for feeding pretreated and temperature-controlled wastewater from the neutralization tank 15 to the aerated orange 4, and a main part of the wastewater while aerating the wastewater with oxygen.
  • It has an air tank 4 for oxidizing, decomposing, and coagulating organic matter and a sedimentation tower 41 for sedimenting sludge flocks and discharging supernatant as treated water.
  • the raw water tank 14 receives and accommodates wastewater from one or more drainage systems including the wastewater from the ammonia discharge facility.
  • the wastewater flows from the raw water tank 14 to the neutralization tank 15 at a constant flow rate.
  • a chemical supply pipe 42 is connected to the neutralization tank 15, and an alkaline or acid aqueous solution for pH adjustment and a mixed chemical of ammonia and phosphoric acid provided as a nutrient source for microorganisms (hereinafter, referred to as “ Is simply called a chemical solution).
  • a steam pipe 43 is connected to the neutralization tank 15 and steam is injected into the wastewater when the temperature of the wastewater is low. Raise the wastewater temperature.
  • a water cooler that exchanges heat with the water supplied by the cooling water pipe 44 to cool the wastewater is used. It is provided in the water pipe from the neutralization tank 15 to the aeration tank 4.
  • the gas tank 4 is connected to an oxygen supply pipe 25 for supplying oxygen for aeration.
  • the sedimentation tank 41 is equipped with a water tank and sediments flocculated sludge flocks while searching wastewater.
  • a return sludge pipe 47 is provided from the bottom of the settling tank 41 to the air tank 4.
  • the remaining sludge is discharged out of the system through sludge pipe 49. Further, the supernatant from which the sludge has been settled in the settling tank 41 is sent to the outside of the system via the treated water pipe 51 as purified treated water.
  • the wastewater treatment device 36 operates as described below in order to detect the operating condition and the process state S to recognize the operating condition, and to control the operating condition and the process state quantity to predetermined values. Equipped with various instruments that detect conditions and process state quantities and output them as data, and a number of control loops that perform feedback control of operating conditions and process state S based on the data output from the instruments. .
  • the chemical flow control valve 4 provided in the chemical supply pipe 4 2
  • the valve opening of the chemical solution flow control valve 48 is adjusted.
  • a cooling water pipe 44 is provided to adjust the flow rate of cooling water supplied to the water cooler 45.
  • Aeration tank 4 turns
  • Drainage thermometer for measuring the temperature of wastewater in aeration tank 4 5 6
  • the steam flow control valve 52 or the cooling water flow SI1 section Adjusts the valve opening of the valve 54, and controls the wastewater temperature in a feedback manner.
  • an oxygen flow meter 60 connected to the oxygen supply pipe 25 was used.
  • Oxygen flow control valve 6 provided in oxygen supply pipe 25 to control oxygen flow
  • An oxygen flow controller 6 4 that adjusts the valve opening of the oxygen flow control valve 62 based on the measured value of the oxygen flow meter 60 and controls the flow of supplied oxygen in a feedback manner 6 4
  • Dissolved oxygen concentration detector that detects the dissolved oxygen port and changes the set value of the acid purple flow rate of oxygen flow rate 1® node 6 4 6 6
  • Return sludge flow meter 3 installed in return sludge pipe 4 7 to measure the amount of sludge returned from settling tank 4 1 to aeration tank 4
  • Return sludge flow control valve 7 0 provided in return sludge pipe 47 to adjust sludge flow rate
  • a return sludge flow controller 7 that controls the return sludge flow control valve 70 based on the measurement value of the return sludge flowmeter 3 and controls the return sludge flow S 7 2 Settling tank 4 1 round
  • Sedimentation tank 4 1 An interface meter for measuring the solid-liquid separation interface of the wastewater in 1 4
  • the turbidity meter 15 In order to measure the turbidity of the treated water discharged from the sedimentation tank 41, the turbidity meter 15
  • the effluent treatment device 36 of this embodiment is designed to treat the received wastewater by the activated sludge method and to make the treated water less than a predetermined turbidity and flow out of the system. The most important indicator for the operation of wastewater treatment equipment 36.
  • An important rotation index for reducing the turbidity of the treated water to a predetermined value or less is the position of the solid-liquid interface in the precipitation tank 41.
  • the rise in the solid-liquid interface is due to the sludge settling in the settling tank 41.
  • the measured values of the turbidity meter 76 and the interface meter 74 are the most important target data for operating the wastewater treatment device 36.
  • the main factors affecting the turbidity of the treated water and the position of the solid-liquid interface in the sedimentation tank 3B 4, and the main operating conditions and process conditions immediately affecting the operation are as follows. Antagonism of breaking down, Neutralization ⁇ Flow rate of chemical solution supplied to 15, Temperature of wastewater in air 4, Dissolved oxygen port in wastewater in air 4, and sedimentation tank Return of sludge from 4 1 to Riki 4 This is the sludge flow rate.
  • the measured values of the chemical solution supply flow S meter 46, the thermometer 56, the dissolved oxygen concentration detector 66, and the returned sludge flow meter 3 are used to operate the wastewater treatment device 36. This is the most important input variable data.
  • the chemical supply rate, the temperature in the BI tank, the dissolved oxygen concentration and the amount of returned sludge were used as input variables, and the turbidity of the treated water and the solid-liquid interface position of the precipitation tank were used as output variables (objective data).
  • the chemical supply flow meter 46, thermometer 56, dissolved oxygen ambiguity detector 66, and returned sludge flow S total 3 output chemical solution supply, aeration tank temperature, dissolved oxygen Based on the input variable actual data of the concentration and the return sludge flow rate, and the output variable actual data of the turbidity of the treated water and the solid-liquid interface position of the settling tank output from the turbidity meter 76 and the interface meter 74, respectively.
  • a neural network model that prescribes a causal relationship between input variables and output variables is built in the work station 38 in advance.
  • the operator determines the nature of the wastewater in the raw water tank 14, the amount of chemical solution supplied, the temperature of the wastewater in the aeration tank 4, the concentration of dissolved oxygen in the wastewater in the aeration tank 4, and the return sludge flow. Set the volume and obtain the predicted values of the turbidity of the treated water and the solid-liquid interface position in the sedimentation tank 41.
  • Incense (26th thread) Can be.
  • the predicted height of the solid-liquid interface in the settling tank 41 and the turbidity of the treated water are output from the work station 38 to the operation support device 39 via the process computer 34, and are output from the operation support device 39. Guidance is given to the operator.
  • the set values are inputted to the process computer 34 from each of the above-mentioned instruments regularly or irregularly, and further sent to the workstation 38.
  • the workstation 38 calculates and processes the built-in neural network model based on the measured values, and outputs the height of the solid-liquid interface in the settling tank 4I and the turbidity of the treated water as predicted values.
  • the neural network model can automatically improve the predictive calculation capability of the neural network model by recognizing the difference between the predicted value of the output variable and the actual measured value of the output variable.
  • These set values are sent to the workstation 38 via the process computer 34, where they are processed by a neural network model.
  • the behavior of the sedimentation tank interface height and the turbidity of the treated water is output to the output. It is predicted as a value and is guided to the operator by the driving support device 39.
  • a model inverse to the neural net model constructed as described above was constructed, and the supplied amount of the chemical solution described above, the temperature of the wastewater in the aeration tank 4, the concentration of dissolved oxygen in the wastewater in the aeration tank 4, and the return sludge Contrary to the flow for obtaining the turbidity of treated water and the solid-liquid interface position in the sedimentation tank 41 from the flow rate, the above output variables are given as input variables, and the optimal values of the above input variables are taken as output variables. It is also possible to perform an optimization operation for estimating.
  • the optimal input variable value is calculated using the inverse model of the neural network model used for the prediction operation. Can be calculated.
  • Guidance is provided from the driving support device 39 to the cultivator from the vehicle 38 through the process computer 34.
  • Embodiment 7 (Embodiment of the fifth invention)
  • This embodiment is one of the embodiments of the operation support device for a chemical process according to the fifth invention (hereinafter simply referred to as the operation support device). This is an example applied to a processing device.
  • Fig. 16 is a block diagram showing the configuration of a process operation support device
  • Fig. 17 is a schematic flow sheet showing the configuration of a wastewater treatment device using the activated sludge method.
  • the operation support device 100 of the process of this embodiment (hereinafter simply referred to as the operation support device 100) is discharged from a first-class plant that discharges ammonia-containing wastewater with a high ammonia port.
  • Wastewater treatment equipment that treats wastewater discharged from each of the second category of wastewater containing ammonia containing wastewater and general wastewater with a lower concentration of ammonia than ammonia-containing wastewater by the activated sludge method. It is a device that supports luck.
  • the driving support device 100 has a process computer 34 that controls the operation of the wastewater treatment device 36, and a hybrid having a staircase structure combining a total model and a neural net model. It comprises a workstation 38 which has a built-in thread model and performs arithmetic processing as an upper computer of the process computer 34 for the wastewater treatment device, and a guidance device 106.
  • the guidance device 106 can be included in the process computer 34.
  • the process computer 34 is connected to the process computer of the first class 108 and the second class 110 via a dedicated LAN (local 'area' network). 4 shows the ilfe data of the 1st class brand 108 and the 2nd class plant 110 via dedicated LAN.
  • the wastewater treatment device 36 is a device that treats wastewater by the activated sludge method. As shown in Fig. 17, the wastewater treatment device 36 is formed integrally with the raw water tanks 14 and 14 that receive and store the wastewater. , Neutralization tank 15 for pre-treatment and temperature adjustment of wastewater, such as pH adjustment and supply of nutrients, etc., and sends pretreated and temperature-controlled wastewater from neutralization tank 15 to BS banyan 4 Pump 40, aeration tank 4 for oxidizing, decomposing, and coagulating mainly organic matter in wastewater while aerating wastewater with oxygen Has 4 in 1.
  • the raw water tank 14 receives and receives ammonium wastewater from Class 1 Brand 108 and general wastewater with a lower ammonia concentration than ammonia-containing wastewater from several Class 2 Brands 110. I do.
  • the neutralization tank 15 is connected to a line 53 for supplying a nutrient source, and an ammonia water solution for pH adjustment and a mixed chemical solution of phosphoric acid used as a nutrient source for microorganisms (hereinafter simply referred to as a chemical solution). ) Is provided.
  • means (not shown) for adjusting the temperature of the pretreated wastewater to a predetermined temperature is provided between the neutralization tank 15 or the neutralization furnace 15 and the aeration tank 4.
  • the oxygen tank 4 is connected to the oxygen tank 4 for supplying oxygen for the air.
  • the sedimentation unit 41 is equipped with a stirrer, and collects sludge flocs while searching for wastewater.
  • a return sludge pipe 47 is provided from the bottom of the settling tank 41 to the aeration tank 4. Part of the sludge is discharged out of the system through the sludge pipe 49.
  • the supernatant obtained by sedimenting the sludge with the sediment coffin 41 is sent to the outside of the system via the treated water pipe 51 as purified treated water.
  • the wastewater treatment device 36 of the present embodiment is provided in the treated water pipe 51 because the purpose of the wastewater treatment is to treat the received wastewater by the activated sludge method and to make it into treated water having a predetermined turbidity or less and to flow out of the system.
  • the turbidity of the treated water measured by the turbidity meter 76 is the most important indicator for the operation of the wastewater treatment device 36.
  • An important operation index to keep the turbidity of the treated water below the specified value is the position of the solid-liquid interface in the settling tank 41 measured by the interface meter 74 installed in the settling tank 41. is there. A rise in the solid-liquid interface means that the amount of sludge settled in the sink 3 ⁇ tower 4 1 is increasing.
  • the measured values of the turbidity meter 76 and the interface meter 74 are the most important target data for operating the wastewater treatment device 36.
  • the main factors affecting the turbidity of the treated water and the position of the solid-liquid interface in the sediment ⁇ 41, and the main operating conditions immediately affecting the operation are the results of the operation of the wastewater treatment device 36
  • These operation data are input to the process computer 34 because they are the return sludge flow rate.
  • the hybrid model I 12 built on the workstation 38 has a higher model that outputs necessary data based on tillage data obtained from each process computer, and a higher model.
  • the upper model is an ammonia concentration estimation model 114 that calculates the degree of ammonia port in the wastewater from the operation data of the first classification brand 108 that discharges the wastewater containing ammonia.
  • Principal component analysis model (PCA) model for obtaining the main components from the operation data of the second class plant, and the operation data of the wastewater treatment unit obtained from the process computer. It is composed of a residence time estimation model (SA) 118 that calculates the residence time of wastewater in the air tank and sedimentation tank.
  • SA residence time estimation model
  • the model for estimating ammonia concentration 114 and the model for estimating residence time 118 have been constructed as dual-eurnet models.
  • the lower model is a neural network model built by the neural network.
  • the calculated predicted value of the solid-liquid interface position of the settling tank and the turbidity of the treated water are input to the guidance device 106 via the process computer 34, and are provided to the operator as operation guidance by the guidance device 106. Paged or displayed on monitor screen.
  • the downgraded staff monitors the trend of the wastewater treatment equipment 36 based on the operation guidance and uses it for the operation management of the process stabilization.
  • the fifth invention has been described by taking a wastewater treatment apparatus based on the activated sludge method as an example, but the operation support equipment of the process according to the fifth invention is suitable for industrial use, especially for chemical processes.
  • the target process is not limited and can be applied to various processes.

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  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Microbiology (AREA)
  • Hydrology & Water Resources (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Chemical & Material Sciences (AREA)
  • Organic Chemistry (AREA)
  • Activated Sludge Processes (AREA)

Abstract

Dans un équipement de traitement d'eaux usées utilisant le procédé de traitement par boues activées d'une usine de traitement d'eaux usées et d'une installation de traitement d'eaux usées d'usines chimiques ou analogues, on traite les eaux usées d'une manière stabilisée et régulée afin d'empêcher une alimentation excessive ou insuffisante en oxygène et de maintenir constante la concentration d'oxygène dissous dans la cuve. On y parvient en recevant un signal produit par un analyseur (5) d'oxygène dissous à l'aide d'une unité de commande (11) proportionnelle, intégrale et dérivée prédictive, en prédisant le comportement de la concentration d'oxygène dissous sur la base des données de régulation passées et d'un modèle dynamique de comportement du système régulé, en comparant la valeur prédite avec la valeur cible de la concentration d'oxygène dissous, et en ajustant le débit d'alimentation en oxygène afin de réduire les écarts.
PCT/JP1997/002514 1996-07-19 1997-07-18 Dispositif de regulation de la concentration d'oxygene dissous d'une cuve d'aeration, de regulation de la temperature de ladite cuve, de regulation du debit d'eau brute pour obtenir une surface liquide homogene et equipement de traitement d'eaux usees utilise dans le procede de traitement par boues activees WO1998003434A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU34630/97A AU3463097A (en) 1996-07-19 1997-07-18 Device for controlling dissolved oxygen concentration of aeration tank, device for controlling temperature of aeration tank, device for controlling flow rate of raw water for homogeneous-flow liquid surface, and wastewater treatment equipment used in activated sludge process

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
JP8/190618 1996-07-19
JP19061896A JP2002219480A (ja) 1996-07-19 1996-07-19 曝気槽の溶存酸素濃度の制御装置
JP8/193581 1996-07-23
JP19358196A JP2002219481A (ja) 1996-07-23 1996-07-23 曝気槽の溶存酸素濃度の制御装置

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WO1998003434A1 true WO1998003434A1 (fr) 1998-01-29

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1319875C (zh) * 2005-08-12 2007-06-06 上海昊沧系统控制技术有限责任公司 生物处理污水工艺中在线控制曝气量的方法
CN105739325A (zh) * 2016-04-13 2016-07-06 沈阳大学 一种污水处理过程曝气智能控制系统
CN106406094A (zh) * 2016-10-16 2017-02-15 北京工业大学 一种基于区间二型模糊神经网络的污水处理溶解氧浓度跟踪控制方法
CN107402586A (zh) * 2017-08-29 2017-11-28 北京易沃特科技有限公司 基于深度神经网络的溶解氧浓度控制方法及系统
CN113534862A (zh) * 2021-07-09 2021-10-22 北京航空航天大学合肥创新研究院(北京航空航天大学合肥研究生院) 培养腔的气体浓度控制系统以及方法
CN113867233A (zh) * 2021-11-03 2021-12-31 龙游县河道疏浚砂资源开发有限公司 一种基于中试研究的颗粒污泥处理的控制方法及系统
CN115434092A (zh) * 2021-06-03 2022-12-06 财团法人纺织产业综合研究所 调控补水系统
CN117069241A (zh) * 2023-10-13 2023-11-17 济安永蓝(北京)工程技术开发有限公司 一种好氧池溶解氧浓度控制方法及控制系统

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5539260A (en) * 1978-09-12 1980-03-19 Kuraray Co Ltd Treating method for waste water with activated sludge
JPS5850462A (ja) * 1981-09-21 1983-03-24 Kawasakishi 酸素活性汚泥法における溶存酸素濃度測定法
JPS6182895A (ja) * 1984-09-28 1986-04-26 Yaskawa Electric Mfg Co Ltd 下水処理制御装置
JPH034993A (ja) * 1989-05-31 1991-01-10 Meidensha Corp 活性汚泥プロセスのモデル予測制御方法
JPH03134706A (ja) * 1989-10-20 1991-06-07 Hitachi Ltd 下水処理場運転支援のための知識獲得方法
JPH0471691A (ja) * 1990-07-11 1992-03-06 Toshiba Corp 溶存酸素濃度制御装置
JPH04108595A (ja) * 1990-08-27 1992-04-09 Nec Kansai Ltd 排水処理装置
JPH0691287A (ja) * 1992-09-17 1994-04-05 Meidensha Corp 排水の生物学的処理装置の制御装置

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5539260A (en) * 1978-09-12 1980-03-19 Kuraray Co Ltd Treating method for waste water with activated sludge
JPS5850462A (ja) * 1981-09-21 1983-03-24 Kawasakishi 酸素活性汚泥法における溶存酸素濃度測定法
JPS6182895A (ja) * 1984-09-28 1986-04-26 Yaskawa Electric Mfg Co Ltd 下水処理制御装置
JPH034993A (ja) * 1989-05-31 1991-01-10 Meidensha Corp 活性汚泥プロセスのモデル予測制御方法
JPH03134706A (ja) * 1989-10-20 1991-06-07 Hitachi Ltd 下水処理場運転支援のための知識獲得方法
JPH0471691A (ja) * 1990-07-11 1992-03-06 Toshiba Corp 溶存酸素濃度制御装置
JPH04108595A (ja) * 1990-08-27 1992-04-09 Nec Kansai Ltd 排水処理装置
JPH0691287A (ja) * 1992-09-17 1994-04-05 Meidensha Corp 排水の生物学的処理装置の制御装置

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1319875C (zh) * 2005-08-12 2007-06-06 上海昊沧系统控制技术有限责任公司 生物处理污水工艺中在线控制曝气量的方法
CN105739325A (zh) * 2016-04-13 2016-07-06 沈阳大学 一种污水处理过程曝气智能控制系统
CN106406094A (zh) * 2016-10-16 2017-02-15 北京工业大学 一种基于区间二型模糊神经网络的污水处理溶解氧浓度跟踪控制方法
CN106406094B (zh) * 2016-10-16 2019-06-14 北京工业大学 一种基于区间二型模糊神经网络的污水处理溶解氧浓度跟踪控制方法
CN107402586A (zh) * 2017-08-29 2017-11-28 北京易沃特科技有限公司 基于深度神经网络的溶解氧浓度控制方法及系统
CN115434092A (zh) * 2021-06-03 2022-12-06 财团法人纺织产业综合研究所 调控补水系统
CN113534862A (zh) * 2021-07-09 2021-10-22 北京航空航天大学合肥创新研究院(北京航空航天大学合肥研究生院) 培养腔的气体浓度控制系统以及方法
CN113534862B (zh) * 2021-07-09 2024-05-03 北京航空航天大学合肥创新研究院(北京航空航天大学合肥研究生院) 培养腔的气体浓度控制系统以及方法
CN113867233A (zh) * 2021-11-03 2021-12-31 龙游县河道疏浚砂资源开发有限公司 一种基于中试研究的颗粒污泥处理的控制方法及系统
CN113867233B (zh) * 2021-11-03 2022-06-03 龙游县河道疏浚砂资源开发有限公司 一种基于中试研究的颗粒污泥处理的控制方法及系统
CN117069241A (zh) * 2023-10-13 2023-11-17 济安永蓝(北京)工程技术开发有限公司 一种好氧池溶解氧浓度控制方法及控制系统
CN117069241B (zh) * 2023-10-13 2023-12-22 济安永蓝(北京)工程技术开发有限公司 一种好氧池溶解氧浓度控制方法及控制系统

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