JP2006021085A - Sewage treatment operation support apparatus, sewage treatment operation support system, sewage treatment operation support method, and sewage treatment operation support program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an operation support system, and the like, for a sewage treatment plant which present a low cost operation condition by considering discharge limit of sewage treatment, the removal ratio of pollutants (the cumulative value of discharged pollutants), and operating cost. <P>SOLUTION: An operation support apparatus 100 for supporting the operation of the sewage treatment plant comprises a storage part 20 for storing a data base 21 of sewage treatment equipment in each sewage treatment plant, a discharged water quality calculation means 31 for referring the condition of inflow into the sewage treatment plant, the operating condition of the sewage treatment plant, and data in the storage part 20 to calculate the predicted value of quality of discharged water from the sewage treatment plant during a prescribed period, an operating cost calculation means 32 for calculating the predicted value of the operating cost for the sewage treatment in the sewage treatment plant based on the operating condition, and a treatment effect calculation means 34 for calculating the predicted value of a discharged pollution load and the index value of limit trade effect, which is an index of effect by buying or selling the discharge limit, based on the predicted value of the discharged water quality, the predicted value of the operating cost, and a discharge limit condition including the discharge limit and a purchase or sale price of the discharge limit. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to facility planning and operation support for a system that treats organic matter, nitrogen, phosphorus, and the like in sewage at a sewage treatment plant.

In sewage treatment plants, advanced treatment methods that can remove nitrogen and phosphorus in addition to organic matter in sewage are being introduced. In addition to managing the quality of discharged water from sewage treatment plants, proper operation management is also required in terms of energy saving and reduction of operating costs, and the importance of systems for sewage treatment plant facility planning and operation support is important. It is increasing.
Therefore, a technology has been devised that predicts the effluent quality of the sewage treatment plant from conditions such as the amount of water flowing into the sewage treatment plant, the concentration of inflowing organic matter, the concentration of inflowing nitrogen, the concentration of inflowing phosphorus, etc. Patent Document 1).

However, since the carbon dioxide (CO ₂₎ the prevention of global warming due to increased sets emission credits CO ₂ to each operator, is considered the introduction of CO ₂ emissions trading system which enables trading the emission credits Yes. In response to this, the introduction of a pollutant emission trading system for the purpose of controlling the pollutant load in the basin is also being considered in the sewage treatment project.
The emission trading system in the sewage treatment business is to set an emission right that indicates the allowable amount of the pollutant discharged, and if the allowable amount is exceeded, the sewage treatment company will reduce the emission amount itself, This is a system where you have to choose whether to buy emission allowances (emission credits).
Incidentally, there is a greenhouse gas reduction optimization system described in Patent Document 2 as a technology for supporting the above-described CO ₂ emission trading system.
JP 2003-300093 A (Claim 1 etc.) JP 2003-331088 A (Claim 1 etc.)

However, the technique disclosed in Patent Document 1 does not consider the discharge frame for sewage treatment as described above.
In addition, when each sewage treatment plant treats the inflow water to the sewage treatment plant, nitrogen and phosphorus are removed using microorganisms called activated sludge, and activated sludge removes these using organic substances in the water. The pollutant removal rate depends on the organic matter concentration of the influent water ((concentration of influent water to the sewage treatment plant-concentration of effluent water discharged from the sewage treatment plant) / (inflow to the sewage treatment plant) The concentration of water contaminants) × 100) varies. Furthermore, since the activity of microorganisms varies depending on the water temperature, the removal rate often changes depending on the season.
In this way, the removal of pollutants at the sewage treatment plant is easy to remove the pollutants according to the conditions (inflow conditions) such as the organic matter concentration and water temperature in addition to the nitrogen and phosphorus concentrations of the inflow water. And a period during which it is difficult to remove pollutants and a high operating cost. In other words, it is important to understand the removal rate and operating cost for operation support for trading the sewage treatment plant emission allowance.
However, none of the above-described techniques grasps the removal rate of pollutants and the operating cost, nor presents low-cost operating conditions.

  The present invention solves the above-mentioned problems, and supports operation of a sewage treatment plant that presents low-cost operating conditions that take into account the sewage treatment allowance, the removal rate of pollutants (cumulative value of discharged pollutants), and operating costs. It is an object to provide a system and the like.

  In order to solve the above-described problems, the present invention is a sewage treatment operation support device that supports operation of a sewage treatment plant, and includes an interface unit that receives input and output of various information, and a sewage treatment device in each sewage treatment plant. A database that stores specification information and a storage unit that stores a numerical model for calculating a predicted quality of discharged water from the sewage treatment plant, and the sewage treatment plant that is input via the interface unit and stored in the storage unit An inflow condition including an inflow water amount, an inflow water quality and an inflow temperature, a range of operating conditions comprising at least one piece of information among the treated water amount, the chemical injection amount and the blast amount in the sewage treatment plant, the database of the storage unit, and A discharged water quality calculation means for calculating a predicted value of discharged water quality from the sewage treatment plant in a predetermined period with reference to a numerical model; Based on the operating conditions, operating cost calculating means for calculating an operating cost predicted value of the sewage treatment at the sewage treatment plant, the calculated discharged water quality predicted value, the calculated operating cost predicted value, and via the interface unit The emission at the sewage treatment plant based on the emission allowance including the purchase allowance or sale price of the emission allowance and the emission allowance that indicates the allowable amount of pollutants discharged from the sewage treatment plant for the predetermined period. A processing effect calculation means for calculating a predicted pollutant load value and calculating a frame transaction effect index value that is an index of the effect of purchasing or selling the emission allowance is provided. Other configurations will be described in the embodiments described later.

  ADVANTAGE OF THE INVENTION According to this invention, the low-cost driving | running condition which considered the discharge frame of the sewage treatment, the accumulated value of discharge | emission pollutant, and operation cost can be shown.

  Hereinafter, the best mode for carrying out the present invention (hereinafter referred to as an embodiment) will be described in detail with reference to the drawings.

<< First Embodiment >>
A sewage treatment operation support apparatus 100 according to an embodiment of the present invention will be described with reference to FIG. 1A (refer to FIG. 1B as appropriate).
FIG. 1A is a block diagram showing a configuration of a sewage treatment operation support apparatus (operation support apparatus) according to an embodiment of the present invention. FIG. 1B is a diagram illustrating the configuration and operation of the processing unit of the driving support apparatus of FIG.

As shown in FIG. 1, the driving support device 100 includes an interface unit 10 that controls input / output of various information, a storage unit 20, a processing unit 30, and a memory 40.
The storage unit 20 stores a database 21 and a sewage treatment operation support program (operation support program) in a predetermined area, and is realized by, for example, a hard disk. The database 21 is, for example, for calculating equipment specifications such as blowers and pumps for each sewage treatment plant, power costs for each operating condition, operation costs such as chemical consumption, and predicted values of the quality of discharged water from the sewage treatment plant. Store numerical models. These pieces of information are input to the storage unit 20 via the interface unit 10.
The processing unit 30 is configured to include discharged water quality calculation means 31, operation cost calculation means 32, discharge frame condition input means 33, and treatment effect calculation means 34. These components are realized by loading a driving support program stored in the storage unit 20 onto the memory 40 and executing a calculation process by a CPU (not shown).
The driving support apparatus 100 is realized by a computer, and may be connected to input means such as a keyboard and a mouse and display means such as a monitor.
In addition, you may make it display the calculation result (recommended driving | running condition mentioned later) of the driving assistance apparatus 100 on an above-described display means. By doing in this way, it becomes easy for the manager of a sewage treatment etc. to confirm low-cost operation conditions. Of course, the calculation result may be transmitted to the sewage treatment plant via a predetermined network, and the operation control of the sewage treatment plant may be directly performed.

When the effluent quality calculation means 31 receives the input of the sewage inflow condition to the sewage treatment plant and the operating condition at the sewage treatment plant via the interface unit 10, the statistical model or numerical value of the biological reaction of the activated sludge related to the sewage treatment is obtained. Based on the model (numerical model for calculating the predicted value of the discharged water quality), the predicted value (discharged water quality predicted value) of the amount of discharged water from the sewage treatment plant and the concentration of organic matter, nitrogen, phosphorus, etc. is calculated.
As the numerical model here, a known model such as an activated sludge model proposed by IWA (International Water Association) may be applied, or a model created from a chemical reaction formula or an experiment The obtained model may be applied. In addition, as a hydraulic model for biological reaction tanks and sedimentation basins, a complete mixing tank array model or a sludge advection model may be applied, and a simulator may be constructed by combining these models to estimate the discharged water quality. Also good.

  When the operating cost calculation means 32 receives input of operating conditions such as the amount of air blown from the sewage treatment plant, the amount of inflow water, and the amount of chemical injection via the interface unit 10, the operating cost calculating means 32 refers to these conditions and the data in the database 21 to operate. Obtain power costs and chemical consumption for each condition. And the operation cost (operation cost prediction value) which totaled these is calculated.

  The emission allowance condition input means 33 inputs, via the interface unit 10, the allowable amount of emission pollutant (emission allowance of pollutants) of the emission right (emission allowance), the sale price of the emission allowance, and the purchase price. Accept. Further, the discharge allowance condition input means 33 may acquire the latest discharge allowance information every predetermined period via the interface unit 10.

The processing effect calculation means 34 is based on the information from the discharged water quality calculation means 31, the operating cost calculation means 32 and the discharge frame condition input means 33, and the total discharge amount of wastewater treatment plant (cumulative value of discharged pollutants), discharge frame The processing cost including the purchase price, etc. is calculated.
The inflow conditions and operation conditions described above may be manually input by a sewage treatment plant manager or the like using an input means such as a keyboard, or a network (not shown) to which the operation support apparatus 100 is connected. You may make it acquire from another management server etc. via.
Details of each component described above will be described in the section of the processing procedure described later.

(Processing procedure)
Next, the processing procedure of the sewage treatment operation support method (specifically, the execution procedure of the operation support program by the CPU) by the operation support device 100 of the present embodiment will be described with reference to FIG. reference). FIG. 2 is a diagram illustrating a processing procedure of the driving support apparatus of FIG.

First, the driving support device 100 receives an input of setting inflow conditions such as the amount of inflow water, organic matter concentration, nitrogen concentration, phosphorus concentration, water temperature, etc., into the biological reaction tank of the sewage treatment plant in the predetermined period at the interface unit 10. The condition information is transferred to the discharged water quality calculating means 31 and the operating cost calculating means 32 (inflow condition setting step, step S201).
Note that the setting value at this time may be set based on past actual measurement values or weather forecasts such as rainfall and temperature. In addition, the inflow condition may be set by using a predicting means for predicting the inflow amount or concentration by using an inflow amount prediction model into the biological reaction tank combined with a numerical model or an inflow concentration prediction model.
Note that these models are stored in the storage unit 20.

  Next, the operation support apparatus 100 is an interface unit 10 that includes an civil engineering structure such as a biological reaction tank or a sedimentation basin in a sewage treatment plant, a standard activated sludge method, an anaerobic-aerobic method, an anaerobic-anoxic-aerobic method, or the like. The setting input of the processing method is accepted. At this time, setting input of operating condition ranges such as dissolved oxygen concentration, air flow rate, return sludge amount, nitrating liquid circulation rate and the like is also received, and the operating condition ranges are received by the discharged water quality calculating means 31 and operating cost calculating means 32. Pass (operating condition setting step, step S202).

  Then, based on the conditions set and input in the inflow condition setting step (step S201) and the operation condition setting step (step S202), the amount of discharged water from the sewage treatment plant, the organic matter concentration, Nitrogen concentration, phosphorus concentration, etc. (predicted value of discharged water quality) are calculated (treated water quality calculation step, step S203). Then, the discharged water quality calculation means 31 passes this calculation result to the processing effect calculation means 34.

  Further, based on the conditions input in the inflow condition setting step (step S201) and the operation condition setting step (step S202), the operation cost calculation means 32 uses the energy consumption and the chemical cost necessary for sewage treatment at the sewage treatment plant. Is calculated as an operating cost (operating cost predicted value) (operating cost calculating step, step S204). Then, the operating cost calculation means 32 passes this predicted operating cost value to the processing effect calculation means 34.

Further, when the driving support device 100 receives the setting input of the emission allowance condition such as the allowable amount of the discharged pollutant in the predetermined period and the purchase price (sale price) of the emission allowance in the interface unit 10, these pieces of information are received. (Emission allowance standard) is transferred to the emission allowance condition input means 33. Then, the discharge allowance condition input means 33 delivers the set discharge allowance reference to the processing effect calculation means 34 (discharge allowance reference setting step, step S205).
Note that the condition values and calculation results set in step S201, step S202, and step S205 are stored in the memory 40 (or the storage unit 20).

  Next, the driving support device 100 includes (1) a predicted discharge water quality value calculated in the treated water quality calculation step (step S203), (2) an operation cost calculated in the operation cost calculation step (step S204), (3) Based on the allowable amount of discharged pollutants and the purchase price (sale price) of the emission allowance in a predetermined period (for example, one year) set and input in the emission allowance reference setting step (step S205), the processing effect calculation means 34 Thus, an index of the effect of sewage treatment at the sewage treatment plant (frame transaction effect index value α) is calculated (treatment effect calculation step, step S206).

The frame transaction effect index value α at this time is calculated based on, for example, the following formulas (1) and (2).
Here, the organic substance concentration calculated in the treated water quality calculation step (step S203) is a COD (Chemical Oxygen Demand) concentration.
First, the treatment effect calculation means 34 uses the treatment water quality prediction values (prediction values of discharged water, organic substance concentration, nitrogen concentration, phosphorus concentration, etc.) calculated in the treatment water quality calculation step (step S203), using the following formula ( Based on 1), the total emission load L [mg / day] is calculated.

L = Q (a · C _C + b · C _N + c · C _P ) (1)

In this formula (1), Q represents a discharged water amount predicted value [l / day], C _C represents the COD concentration predicted value of effluent [mg / l], C _N is the nitrogen concentration estimated value of effluent [ mg / l], C _P represents a phosphorus concentration predicted value of effluent [mg / l]. a, b, and c are predetermined constants. The organic substance concentration C _C used in the formula (1) may be BOD (Biochemical Oxygen Demand).

  Next, the processing effect calculating means 34 calculates the operating cost calculated in step S204, the allowable value of discharge pollutant and discharge allowance (permissible discharge unit price) for the predetermined period set and input in step S205, and the formula ( Based on the following formula (2) using the total emission load L calculated in 1), the frame transaction effect index value α (cost / benefit of emission allowance purchase or sale in sewage treatment) is calculated.

  α = k (F−ΣL) −ΣM Equation (2)

In this equation (2), k represents the allowable discharge unit price [yen / mg], F represents the allowable discharge pollutant [mg], and M represents the operating cost [yen]. ΣL is the total value of the total discharge amount load L calculated by dividing the predetermined period set in step S205 and changing the inflow conditions set in step S201. Like ΣL, ΣM is the total value of the operating cost M calculated by dividing the predetermined period set in step S205 and according to the operating conditions set in step S202.
For example, when the predetermined period set in step S205 is one year and the inflow condition is changed every month, the total value (ΣL) of the total emission load L and the total value (ΣM) of the operating cost M are set every month. A total value for 12 months of the total discharge load L and the operating cost M is used.

In the expression (2), it is preferable that the processing effect calculating means 34 changes the value of the allowable discharge unit price k depending on whether (F−ΣL) is positive or negative. For example, when the total value (ΣL) of the total emission load L exceeds the discharge pollutant allowance F, that is, when (F−ΣL) becomes negative, it is necessary to purchase a new allowance. A value for purchasing emission allowance is used as the unit capacity k. On the other hand, when the total value (ΣL) of the total emission load L does not exceed the discharge pollutant allowable amount F, that is, when (F−ΣL) becomes positive, the emission allowance can be sold. Use the value for selling allowances.
Incidentally, the value of the allowable discharge unit price k is acquired by the driving support device 100 via the interface unit 10 every predetermined period or at the timing when the value of the allowable discharge unit price k is changed, and is stored in the memory 40 (or stored). Part 20).

  The manager of the sewage treatment plant can grasp the cost performance (cost-effectiveness) of emission allowance purchase (discharge allowance sale) from the value of this frame transaction effect index value α. That is, if the value of the quota transaction effect index value α is high, the cost-effectiveness of sewage treatment by purchasing allowances (sale of allowances) is high, and if the value of the quota transaction effect index value α is low, purchasing allowances (sale of allowances) It can be judged that the cost-effectiveness of the sewage treatment by is low.

Furthermore, the optimal operating condition for every month in a sewage treatment plant can be calculated | required by using above-described Formula (2).
That is, the processing effect calculation means 34 searches for (selects) an operating condition (recommended operating condition) that maximizes the frame transaction effect index value α from the operating condition range set in step S202, and changes monthly. The total discharge load L and the operation cost M can be optimized according to the inflow conditions to the sewage treatment plant. That is, it becomes easy to realize low-cost operation considering the total discharge load L and the operation cost M.

  Further, the total value (ΣL) of the total emission load L and the total value (ΣM) of the operating cost M for the predetermined period calculated by the processing effect calculation means 34 under the recommended operating conditions, and the total value (ΣL) of the conventional total emission load L ) And the total value (ΣM) of the operating cost M may be generated in time series, and this data may be output to a display means such as a monitor. By doing in this way, it becomes easy for the administrator etc. of a sewage treatment to grasp | ascertain the effect at the time of performing a sewage treatment on a recommended driving | running condition.

It should be noted that an optimization method such as a genetic algorithm may be used for the calculation of the recommended operating conditions.
Incidentally, in equation (2), F is the total water quality regulation value, and the processing effect calculation means 34 obtains ΣL that makes (F−ΣL) positive, so that the water quality corresponding to the total water quality regulation (the amount of discharged water, organic matter, nitrogen) , Phosphorus concentration) and the operating cost corresponding to the water quality can be calculated.

<< Second Embodiment >>
FIG. 3 is a block diagram showing the configuration of the processing unit of the operation support apparatus for the sewage treatment plant according to the second embodiment of the present invention. Constituent elements similar to those in the first embodiment described above are denoted by the same reference numerals, and description thereof is omitted.
As shown in FIG. 3, the operation support apparatus 100 of the second embodiment measures actual values of discharged water quality and operation costs in the sewage treatment plant in the configuration of the operation support apparatus 100 of the first embodiment. The measuring means 35 is added.

The actual result measuring means 35 is composed of an automatic measuring instrument such as water quality. Specifically, effluent water quality measuring means for measuring the amount of effluent water, organic matter, nitrogen, phosphorus concentration, etc. (actually measured effluent quality) at a sewage treatment plant every predetermined period (predetermined time), energy consumption, chemical cost Operating cost measuring means for measuring operating costs such as Further, the operating cost measuring means calculates an actual operating cost value based on information such as the measured energy consumption and chemical cost.
The actual result measurement means 35 delivers the measured discharge water quality actual measurement value and the actual operating cost actual value to the processing effect calculation means 34. Of course, the result measuring means 35 may accept a value input from the input means by an administrator of the sewage treatment plant or the like. At this time, the measurement time is also input.

(Processing procedure)
Next, the processing procedure of the driving support method (specifically, the execution procedure of the driving support program by the CPU) by the driving support device 100 of the present embodiment will be described with reference to FIG. 3). FIG. 4 is a diagram illustrating a processing procedure of the driving support apparatus according to the second embodiment.

  The processing from step S401 to step S405 in FIG. 4 is the same as the processing from step S201 to step S205 in FIG. 2 and will not be described, and will be described from step S406.

In step S406, the operating costs measuring means actual measuring means 35 of FIG. 3, to calculate the operating costs Actual m _2. The processing effect calculation means 34 calculates the total discharge load actual value Lr based on the discharged water quality (discharged water quality measured value) in a predetermined period measured by the result measuring means 35 (actual value calculating step). Here, the actual emission total load value Lr is calculated based on the following equation (3), similarly to the calculation of the total emission load L in the first embodiment.

Lr = Qr (a · C _Cr + b · C _Nr + c · C _Pr ) (3)

In this equation (3), Lr indicates the actual discharge total load value, Qr indicates the actual discharge amount [l / day], C _Cr indicates the actual COD concentration of the discharge water, and C _Nr indicates the discharge water. Nitrogen concentration measured value [mg / l] is indicated, and C _Pr represents the phosphorus concentration measured value [mg / l] of discharged water. a, b, and c are predetermined constants.

Next, the processing effect calculating means 34 calculates the operating cost M ₂ calculated in the operating cost calculating step (step S404), the discharge pollutant allowable amount in the predetermined period set and input in the frame reference setting step (step S405), and The value k of the emission allowance (permitted discharge unit price), the actual operating cost value m ₂ calculated in the actual value calculation step (step S406), and the actual total emission load actual value Lr calculated in the above equation (3). The frame transaction effect index value α1 is calculated based on the following formula (4) (processing effect calculation step, step S407).

α1 = k (F−ΣL ₂ −Lr) −ΣM ₂ −m ₂ Formula (4)

In this formula (4), α1 indicates the frame transaction effect index value (cost-effectiveness in sewage treatment), k indicates the allowable unit price [yen / mg], and F indicates the allowable amount of discharged pollutant [mg]. L ₂ indicates a predicted emission pollution load value [mg] in the future, and M ₂ indicates a predicted operation cost value [yen] in the future.
L ₂ and M ₂ are predicted values within a predetermined period after the actual value is measured by the actual result measuring means 35.
Moreover, it is preferable to change the value of the allowable emission unit price k depending on whether (F-ΣL ₂ -Lr) becomes positive or negative, similarly to the case of (F-ΣL) in the above-described formula (2).
The processing effect calculation means 34 selects the driving condition that maximizes the frame transaction effect index value α1 of Expression (4) from the driving conditions set in the driving condition setting step (step S402) and stored in the memory 40 or the like. By (searching), it is possible to present a low-cost operating condition that takes into consideration the cumulative value (total emission load) of the future discharged pollutant and the operating cost.

<< Third Embodiment >>
Next, a third embodiment of the present invention will be described with reference to FIG. 5 (see FIGS. 1 to 4 as appropriate). FIG. 5 is a diagram illustrating a processing procedure of the driving support apparatus according to the third embodiment. Since the configuration of the driving support device in the third embodiment is the same as the configuration of the driving support device 100 in the second embodiment described above, description thereof is omitted.

  In the third embodiment, the driving support device 100 corrects the set inflow condition so that it becomes a value close to the actual inflow water amount and the inflow water quality (appropriate value), and calculates the more accurate discharge water quality and the like. It is characterized by performing.

Specifically, as shown in FIG. 5, first, the driving support device 100 executes the arithmetic processing from step S501 to step S506 in the same manner as the processing from step S401 to step S406 in FIG. 4. In step S507, (1) the discharge water quality prediction value (the discharge water amount prediction value, the COD concentration prediction value, the nitrogen concentration prediction value, the phosphorus concentration prediction value, etc.) calculated in the treated water quality calculation step (step S503) and (2 ) The actual value of the discharged water quality (actually measured value of discharged water) calculated in the actual value calculation step (step S506) is compared. Then, when the value of the ratio between the value of (1) and the value of (2) is outside the predetermined range, the inflow condition set in the inflow condition setting step (step S501) is changed and the processing after step S502 is performed again. Execute.
Note that the range of the ratio between the discharge water quality prediction and the discharge water quality actual measurement value (the upper limit value and the lower limit value of errors described later) in the present embodiment are all stored in the memory 40 (or the storage unit 20). And

  Details of the processing effect calculation step (step S507) by the processing effect calculation means 34 at this time will be described with reference to FIG. 6 (see FIGS. 1 to 5 as appropriate). FIG. 6 is a flowchart showing details of the process in step S507 of FIG.

(Correction of water volume error)
First, in the driving support device 100, the processing effect calculation unit 34 determines the ratio value (Q ₀₎ between the predicted discharged water amount Q ₀ calculated in step S503 in FIG. 5 and the actual discharged water amount Q calculated in step S506. / Q) is obtained, and it is determined whether or not this value is larger than a predetermined threshold value a (lower limit value a of water amount error) (step S611).

Here, when the value of Q ₀ / Q is not larger than the lower limit value a of the water amount error (“N” in step S611), that is, when the value of Q ₀ / Q is less than or equal to the lower limit value a of the water amount error, the memory The value of the water amount of the inflow condition set last time is read from 40, etc., the value of the water amount of the inflow condition is increased from this value (step S612), and recalculation after step S502 is performed with the increased value (step S691). ). Then, the process returns to step S611.
That is, when the processing effect calculation unit 34 determines that the predicted discharge water amount Q ₀ is extremely smaller than the actual discharge water amount Q, the value of the water amount in the inflow condition is increased, and the calculation processing after step S502 is re-executed. To do.

On the other hand, when the value of Q ₀ / Q is larger than the lower limit value a of the water amount error (“Y” in step S611), the process proceeds to the next step (step S621).
In addition, the lower limit a of the water amount error here is, for example, about 0.5 to 0.8. Further, the increase in the amount of water in the inflow condition in step S612 may be made to increase on average by making the temporal change pattern of the amount of water the same.

Next, the processing effect calculating unit 34 determines whether or not Q ₀ / Q is smaller than a predetermined threshold value b (the upper limit value b of the water amount error) (step S621). Here, when the value of Q ₀ / Q is not smaller than the upper limit value b of the water amount error (“N” in step S621), that is, when the value of Q ₀ / Q is greater than or equal to the upper limit value b of the water amount error, the memory The value of the water amount of the inflow condition set last time is read from 40, etc., the value of the water amount of the inflow condition is decreased from this value (step S622), and recalculation after step S502 is performed with the value after the decrease (step S691). ). That is, when the processing effect calculation unit 34 determines that the predicted discharge water amount Q ₀ is extremely larger than the actual discharge water amount Q, the amount of water in the inflow condition is decreased and the calculation processing from step S502 is re-executed. . Then, the process returns to step S611.
On the other hand, when the value of Q ₀ / Q is smaller than the upper limit value b of the water amount error (“Y” in step S621), the process proceeds to the next step (step S631).
The upper limit b of the water amount error here is, for example, about 1.2 to 1.5. In addition, the amount of water in step 622 may be reduced by averaging the water amount with time pattern in the same manner as in step S612 described above.

  Thereafter, the processing effect calculating means 34 corrects the COD concentration, the nitrogen concentration, and the phosphorus concentration in the inflow conditions in the same procedure as the procedure from step S611 to step S622 described above (step S631 to step S682). The arithmetic processing after step S502 is executed again (step S691). This will be specifically described below.

(Cod error correction)
First, the processing effect calculation unit 34 corrects the COD concentration of the inflow condition. That is, a ratio value (C _C0 / C _C ) between the COD concentration predicted value C _C0 of the effluent water and the COD concentration actual measurement value C _C is calculated, and the value of C _C0 / C _C is the lower limit value c of the COD concentration error. It is judged whether it is larger than (step S631). When the value of C _C0 / C _C is not larger than the lower limit value c of the COD concentration error (“N” in step S631), that is, when the value is equal to or lower than the lower limit value c, the COD of the inflow condition previously set from the memory 40 is obtained. The concentration value is read out, the COD concentration value of the inflow condition is increased from this value (step S632), and the arithmetic processing after step S502 is re-executed with the increased value (step S691).
On the other hand, when the value of C _C0 / C _C is larger than the lower limit value c of the COD density error (“Y” in step S631), the process proceeds to the next step (step S641). The lower limit value c here is, for example, about 0.5 to 0.8.
Next, the processing effect calculation means 34 determines whether C _C0 / C _C is smaller than the upper limit value d of the COD density error (step S641), and the value of C _C0 / C _C is higher than the upper limit value d. Is not smaller (“N” in step S641), that is, when the value is equal to or greater than the upper limit value d, the value of the COD concentration of the inflow condition set last time is read from the memory 40 or the like, and the value of the COD concentration of the inflow condition is determined from this value. The number is decreased (step S642), and the arithmetic processing after step S502 is re-executed with the value after the decrease (step S691). On the other hand, when the value of C _C0 / C _C is smaller than the upper limit value d (“Y” in step S641), the process proceeds to the next step (step S651). The upper limit value d of the COD density error here is also about 1.2 to 1.5, for example.

(Correction of nitrogen concentration error)
Subsequently, the processing effect calculation means 34 corrects the nitrogen concentration of the inflow condition. That is, calculate the ratio of the value of the nitrogen concentration estimated value C _N0 the nitrogen concentration measured value C _N of discharged water (C _N0 / C _N), the C _N0 / C _N lower limit e value of the nitrogen concentration error of If not (“N” in step S651), that is, when the value is equal to or lower than the lower limit value e, the value of the nitrogen concentration of the inflow condition set last time is read from the memory 40 or the like, and the value of the nitrogen concentration of the inflow condition is larger than this value. (Step S652), and the arithmetic processing after step S502 is re-executed with the increased value (step S691).
On the other hand, when the value of C _N0 / C _N is larger than the lower limit value e of the nitrogen concentration error (“Y” in step S651), the process proceeds to the next step (step S661). The lower limit e here is also about 0.5 to 0.8, for example.
Then, the processing effect calculation unit 34, C _N0 / _{C N} is, it is determined whether the smaller or not than the upper limit value f of the nitrogen concentration error (step S661), the value of C _N0 / _{C N} is above the upper limit value f Is not smaller ("N" in step S661), that is, when the value is equal to or greater than the upper limit value f, the value of the nitrogen concentration of the inflow condition set last time is read from the memory 40 or the like, The number is decreased (step S662), and the arithmetic processing after step S502 is re-executed with the value after the decrease (step S691). On the other hand, when the value of C _N0 / _{C N} is less than the upper limit value f (step S661 "Y"), the process proceeds to the next step (step S671). The upper limit value f of the nitrogen concentration error here is, for example, about 1.2 to 1.5.

(Correction of phosphorus concentration error)
Next, the processing effect calculation means 34 corrects the phosphorus concentration of the inflow condition. That is, a ratio value (C _P0 / C _P ) between the predicted phosphorus concentration C _{P0 of} the discharged water and the measured phosphorus concentration C _P (C _P0 / C _P ) is calculated, and the value of C _P0 / C _P is the lower limit g of the phosphorus concentration error. Is not greater than “N” in step S671, that is, when it is less than or equal to the lower limit value g, the value of the phosphorus concentration of the inflow condition set last time is read from the memory 40, and the value of the phosphorus concentration of the inflow condition is set to be greater than this value. Increase the number (step S672), and re-execute the calculation processing after step S502 with the increased value (step S691).
On the other hand, when the value of C _P0 / C _P is larger than the lower limit g of the phosphorus concentration error (“Y” in step S671), the process proceeds to the next step (step S681). The lower limit g here is also about 0.5 to 0.8, for example.
Next, the processing effect calculating means 34 determines whether or not C _P0 / C _P is smaller than the upper limit value h of the phosphorus concentration error (step S681), and the value of C _P0 / C _P is higher than the upper limit value h. Is not smaller ("N" in step S681), that is, when the value is equal to or greater than the upper limit h, the phosphorus concentration value of the inflow condition previously set is read from the memory 40, and the nitrogen concentration value of the inflow condition is decreased from this value. (Step S682), and the calculation process after Step S502 is re-executed with the decreased value (Step S691).
On the other hand, when the value of C _P0 / C _P is smaller than the upper limit value h (“Y” in step S661), the frame transaction effect index value is calculated, and the process ends. The upper limit value h of the phosphorus concentration error here is also about 1.2 to 1.5, for example.

  In this way, the operation support device 100 corrects the inflow condition according to the actually measured effluent quality value, and predicts the future effluent quality based on the corrected inflow condition. The prediction accuracy is improved.

It is assumed that the re-execution (recalculation) of the arithmetic processing after step S502 is performed every time the quality of the discharged water is measured by the result measurement means 35. Moreover, since the value of the discharged water quality may not converge to a value within a predetermined range, it is preferable to set the number of recalculations and the number of hours in advance, for example, within one day (24 hours). Furthermore, when it is clear that the change in inflow conditions is temporary, such as heavy rain, recalculation may not be performed. By doing in this way, the accumulated value of the total emission load and the predicted value of the operating cost can be made more accurate.
In the embodiment described above, the amount of discharged water, COD concentration, nitrogen concentration, and phosphorus concentration in the inflow conditions are corrected. However, in addition to these processes, the water temperature in the inflow conditions is corrected. Of course.

<< Fourth Embodiment >>
Next, a fourth embodiment of the present invention will be described. The fourth embodiment is characterized in that the operation support apparatus 100 performs operation control (operation management) of a plurality of sewage treatment plants. The fourth embodiment will be described with reference to FIG. 7 (see FIGS. 1 to 6 as appropriate). FIG. 7 is a block diagram illustrating a configuration of an operation control system according to the fourth embodiment. In addition, since the structure of the driving assistance apparatus 100 of this Embodiment is the same as that of above-described embodiment, description is abbreviate | omitted.

  The operation control system includes an operation support device 100, control means 75 (75a to 75c) that performs operation control of each device of the sewage treatment plant (treatment plant) 72 (72a to 72c), and a network 70 that connects them. Consists of including. The driving support apparatus 100 is installed in a management center 71 that manages a plurality of treatment plants 72 (72a to 72c), for example. The network 70 is, for example, the Internet. Here, although the case where the driving assistance apparatus 100 performs operation control of the three treatment plants 72 (72a to 72c) will be described as an example, of course, other numbers (1, 2, or 4 or more) of the sewage treatment plants 72 are used. Operation control may be performed.

When the processing effect calculation unit 34 (see FIG. 1) of the driving support device 100 calculates (searches) and determines the driving condition, the condition is transmitted to the control unit 75 (75a to 75c) via the interface unit 10 and the network 70. To do.
At this time, the treatment effect calculation means 34 calculates the discharge pollution load (discharge total amount load) L and the operating cost M using the inflow conditions set for each sewage treatment plant 72 (72a to 72c). Further, the total value α2 of the frame transaction effect index values of the treatment plant 72 (72a to 72c) is calculated based on the following formula (5).

_{α2 = k (F-ΣL 72a} -ΣL 72b -ΣL 72c) -ΣM 72a -ΣM 72b -ΣM 72c ... formula (5)

In this formula (5), α2 represents the total value of the frame transaction effect index values of the treatment plant 72 (72a to 72c), k represents the unit price of allowable emission amount [yen / mg], and F represents the allowable amount of discharged pollutant. [Mg], ΣL _72a , ΣL _72b, and ΣL _72c indicate the total discharge amount of the treatment plants ₇₂ a to _{72 c,} respectively, and indicate the operating costs of the treatment plants ₇₂ a to _{72 c,} respectively.
Here, when the processing effect calculating means 34 selects an operating condition that maximizes the total value α2 of the frame transaction effect index in the formula (5), an operation with a predetermined total emission load (discharged pollutant amount) and low operating cost is performed. It becomes a condition. That is, although the treatment site 72 (72a to 72c) has different contaminant removal rates depending on the inflow conditions and the operation method, the operation of the treatment site 72 (72a to 72c) as a whole is efficient in consideration of these characteristics. You can select conditions. That is, even when managing a plurality of sewage treatment plants 72, it is possible to present low-cost operating conditions in consideration of both the accumulated amount of discharged pollutants and the operating costs.

  In addition, you may make it each processing field 72 (72a-72c) further provide the performance measurement means 35 (refer FIG. 3). That is, the operation support apparatus 100 acquires the actual discharge water quality value and the actual operation cost value via the network 70, corrects the inflow conditions, and reduces the future discharge pollutant amount and the operation cost (recommended operation). Condition) may be calculated.

<< Fifth Embodiment >>
Next, a fifth embodiment of the present invention will be described with reference to FIGS. 8 and 9 (see FIGS. 1 to 7 as appropriate). FIG. 8 is a diagram illustrating the configuration and operation of the processing unit of the driving support apparatus according to the fifth embodiment. FIG. 9 is a diagram illustrating a processing procedure of the driving support apparatus according to the fifth embodiment. Constituent elements similar to those of the above-described embodiment are denoted by the same reference numerals, and description thereof is omitted.
The fifth embodiment is characterized in that the processing unit 30 of the driving support apparatus 100 further includes a facility remodeling cost calculation means 36. This facility remodeling cost calculation means 36 receives a condition related to the remodeling cost of the facility (sewage treatment plant), for example, the construction cost, subsidy, interest rate, repayment period, etc. of the facility, and sets a predetermined period (repayment period). This is a means for calculating the total repayment amount. The facility remodeling cost calculation means 36 is realized by the CPU executing a predetermined program stored in the storage unit 20 (see FIG. 1).

  First, the driving support device 100 receives inflow condition setting inputs as in step S201 of FIG. 2 described above, and passes these inflow conditions to the discharge water quality calculation means 31 and the operation cost calculation means 32 (inflow condition setting step). Step S900). The predetermined period set here is set to the same value as the repayment period of the above-mentioned facility remodeling cost.

  Next, the driving assistance apparatus 100 receives the setting of the driving conditions in the facility before remodeling (driving condition setting step, step S901). Then, based on the operating conditions in the facility before remodeling, the treatment effect calculation means 34 calculates the discharged water quality (processed water quality calculation step, step S902). Further, based on the operating conditions in the facility before the remodeling, the operating cost calculating means 32 calculates the operating cost in the facility before the remodeling (operating cost calculating step, step S903). Then, these calculation results are transferred to the processing effect calculation means 34.

Moreover, the driving assistance apparatus 100 receives the setting of the driving condition in the facility after the remodeling (driving condition setting step, step S904). Then, based on the operating conditions in the facility after the remodeling, the treatment effect calculation means 34 calculates the discharged water quality (treated water quality calculation step, step S905). Further, based on the operating conditions at the facility after the modification, the operation cost calculation means 32 calculates the operation cost at the facility after the modification (operation cost calculation step, step S906). Then, these calculation results are transferred to the processing effect calculation means 34.
The setting items and calculation contents in each step described above are the same as the operation condition setting process, the treated water quality calculation process, and the operation cost calculation process in the first embodiment described above, and detailed description thereof will be omitted.

  Next, in the same way as the above-described emission allowance reference setting process (see step S205 in FIG. 2), the driving support device 100 sets the allowable amount of discharge pollutants and discharge allowance for a predetermined period at the interface unit 10. When the input is accepted, these pieces of information (discharge allowance reference) are transferred to the discharge allowance condition input means 33. Then, the discharge allowance condition input means 33 delivers the set discharge allowance reference to the processing effect calculation means 34 (discharge allowance reference setting step, step S907). The predetermined period set here is also set to the same value as the repayment period of the facility remodeling cost.

  When the driving support apparatus 100 receives an input of conditions (for example, construction cost, subsidy, interest rate, repayment period, etc.) relating to the modification cost of the facility (sewage treatment plant) via the interface unit 10, the facility modification cost calculating means In 36, the total amount of repayment within the set predetermined period (repayment period) is calculated (remodeling cost calculation step, step S908). Then, the calculation result is transferred to the processing effect calculation means 34.

  Thereafter, the processing effect calculation means 34, based on the emission allowance standard set in step S907 (emission allowance reference setting step), (1) the frame transaction effect index value in the facility before remodeling, and (2) after remodeling The frame transaction effect index value in the facility is calculated (processing effect calculation step, step S909), and the process is temporarily terminated.

The operation support apparatus 100 thus calculates the frame transaction effect index value before and after remodeling the facility, so that it becomes easy for the manager of the sewage treatment plant to determine whether or not the facility should be remodeled.
That is, among the above-mentioned frame transaction effect index values, if (1) the frame transaction effect index value at the facility after remodeling is larger than (1) the frame transaction effect index value at the facility before remodeling, the sewage treatment plant There is a high possibility that the remodeling of the facilities is effective, and (2) the frame transaction effect index value at the facility after remodeling is smaller than (1) the frame transaction effect index value at the facility before remodeling Therefore, it can be judged that the possibility that the facility modification is effective is low.
In addition, when the frame transaction effect index value in the facility after the remodeling is smaller than (1) the frame transaction effect index value in the facility before the remodeling, the inflow condition is corrected in the inflow condition setting step (step S900). Or change the setting conditions such as the discharge pollutant allowable amount and the sale or purchase of the emission allowance in the emission allowance reference setting step (step S907), and recalculate. In this way, it becomes easier for the manager of the sewage treatment plant to understand what inflow conditions and discharge allowance transactions will be effective in the future from the facility modification.

  In the above-described embodiment, when obtaining the total emission load L for one month (cumulative value of the discharged pollutant), a value obtained by summing the daily total emission load L for one month may be obtained. When calculating the total emission load L for the year, total the daily discharge load L for one year, or the product of the annual average value of the discharged water quality (concentration) and the average value and the annual average value of the discharged water amount. Should be requested. Other modifications can be made without departing from the spirit of the present invention.

  The driving support apparatus according to the present embodiment can be realized by a driving support program for executing the processing as described above, and this program is stored in a computer-readable storage medium (CD-ROM or the like) and provided. Is possible. It is also possible to provide the program through a network.

(A) is a block diagram which shows the structure of the sewage treatment driving | operation assistance apparatus (driving assistance apparatus) which is embodiment of this invention. (B) is the figure which showed the structure and operation | movement of the process part of the driving assistance device of (a). It is the figure which showed the process sequence of the driving assistance apparatus of FIG. It is the figure which showed the structure and operation | movement of the process part of the operation assistance apparatus of the sewage treatment plant which is the 2nd Embodiment of this invention. It is the figure which showed the process sequence of the driving assistance device of the 2nd Embodiment of this invention. It is the figure which showed the process sequence of the driving assistance device of the 3rd Embodiment of this invention. It is a flowchart which shows the detail of a process of step S507 of FIG. It is a block diagram which shows the structure of the operation control system which is the 4th Embodiment of this invention. It is the figure which showed the structure and operation | movement of the process part of the driving assistance device of the 5th Embodiment of this invention. It is the figure which showed the process sequence of the driving assistance device of the 5th Embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Interface part 20 Storage part 21 Database 30 Processing part 31 Effluent water quality calculation means 32 Operating cost calculation means 33 Discharge frame condition input means 34 Processing effect calculation means 35 Performance measurement means 36 Facility modification cost calculation means 70 Network 71 Management center 72 (72a ~ 72c) Sewage treatment plant (treatment plant)
75 (75a-75c) Control means 100 Operation support device (sewage treatment operation support device)

Claims (9)

A sewage treatment operation support device for supporting operation of a sewage treatment plant,
An interface unit for receiving and inputting various information;
A database that stores specification information of sewage treatment equipment in the sewage treatment plant and a storage unit that stores a numerical model for calculating a predicted quality of discharged water from the sewage treatment plant;
From the inflow conditions including the amount of inflow water to the sewage treatment plant, the quality of the inflow water and the inflow temperature, and information on at least one of the treated water amount, the chemical injection amount and the blast amount input in the sewage treatment plant, which are input via the interface unit. A discharge water quality calculating means for calculating a predicted value of the discharged water quality from the sewage treatment plant in a predetermined period with reference to the range of operating conditions and the database and the numerical model of the storage unit,
Based on the operating conditions, operating cost calculating means for calculating an operating cost predicted value of sewage treatment in the sewage treatment plant,
The calculated discharge water quality prediction value, the calculated operation cost prediction value, and the discharge allowance that indicates the allowable amount of pollutants discharged from the sewage treatment plant in the predetermined period, which is input via the interface unit, and the discharge allowance Based on the emission allowance conditions including the purchase price or sale price, the calculation of the estimated emission pollution load at the sewage treatment plant and the frame transaction effect index value that is an indicator of the effect of the purchase or sale of the emission allowance Processing effect calculating means to perform,
A sewage treatment operation support device comprising: The frame transaction effect index value is calculated by calculating the estimated operating cost from the value obtained by subtracting the calculated emission pollution load prediction value from the emission pollutant allowable amount and the purchase price or sale price of the emission allowance. Minus the value,
The processing effect calculating means is configured to search for a recommended operating condition that is an operating condition that maximizes the frame transaction effect index value from a range of operating conditions stored in the storage unit. The sewage treatment operation support device according to claim 1. The effluent water quality measuring means for measuring the amount of effluent water of the sewage treatment plant and the measured value of the effluent quality including the concentration of organic matter, nitrogen and phosphorus,
The operating cost for measuring the amount of energy consumed when the sewage treatment plant performs sewage treatment and the amount of chemical used in the sewage treatment, and calculating the actual operating cost based on the measured amount of energy consumed and the amount of chemical A measuring means,
The treatment effect calculation means, based on the measured discharge water quality actual measurement value and the calculated operating cost actual value, calculation of the discharge pollution load actual value that is the actual value of the discharge pollution load in the sewage treatment plant, The sewage treatment operation support device according to claim 1 or 2, wherein the frame transaction effect index value is calculated and the recommended operation condition is searched. The frame transaction effect index value is calculated by the discharge water quality calculation means, and is calculated from the measured discharge water quality measured value by the discharge water quality measurement means and a predicted discharge pollution load value in a predetermined period, and the calculated discharge pollution load actual value. The total value is subtracted from the emission pollutant allowance multiplied by the purchase price or sale price of the emission allowance, and from this value, the calculated operating cost actual value and the discharge calculated by the operating cost measuring means are calculated. A value obtained by subtracting the total value of the operation cost predicted value in the predetermined period from the time when the water quality measuring means measured the discharged water quality measured value,
The said processing effect calculating means is comprised so that the recommended driving condition in which the said frame transaction effect index value becomes the maximum may be searched from the range of the driving condition memorize | stored in the said memory | storage part. The sewage treatment operation support device described. The storage unit further stores a range of a value of a ratio between the measured discharge water quality actual measurement value and the calculated discharge water quality prediction value,
The processing effect calculation means calculates a value of a ratio between the measured discharge water quality actual measurement value and the calculated discharge water quality prediction value, and this value is a value within a range of ratio values stored in the storage unit. When there is no change, the inflow condition stored in the storage unit is changed so that a ratio value between the measured discharge water quality actual measurement value and the discharge water quality prediction value becomes a value within the range, and the changed inflow 5. The sewage treatment operation support apparatus according to claim 3, wherein the recommended operation condition is searched and the frame transaction effect index value is further calculated based on a condition. A facility remodeling cost calculating means for calculating a facility remodeling cost of the sewage treatment plant,
The discharged water quality calculation means is configured to further calculate a predicted value of discharged water quality in a sewage treatment plant after the facility modification,
The said processing effect calculating means is comprised so that the search of the said frame transaction effect index value and the said recommended driving | running condition may be further performed based on the calculated facility remodeling cost. The sewage treatment operation support device according to any one of the above. A sewage treatment operation support system comprising the sewage treatment operation support device according to any one of claims 1 to 5 and one or more sewage treatment plants connected to a network,
The discharge water quality calculation means of the sewage treatment operation support device calculates a discharge water quality prediction value for each of the sewage treatment plants, and the operation cost calculation means calculates an operation cost prediction value for each of the sewage treatment plants, The treatment effect calculation means searches for recommended operating conditions for each of the sewage treatment plants based on the calculated discharge water quality predicted value and the operating cost predicted value, and the searched recommended operating conditions are obtained via the network. Configured to send to the sewage treatment plant,
The said sewage treatment plant is provided with the control means which receives the said recommended operation condition via the said network, and performs operation control of a sewage treatment based on this recommended operation condition, The sewage treatment operation support system characterized by the above-mentioned. Stores an interface unit that inputs and outputs various types of information, a processing unit, a database that stores specification information of sewage treatment equipment in a sewage treatment plant, and a numerical model for calculating a predicted quality of discharged water from the sewage treatment plant A sewage treatment operation support method using a sewage treatment operation support device including a storage unit,
The sewage treatment operation support device,
Receiving an input of inflow conditions including the amount of inflow water to the sewage treatment plant, the inflow water quality, and the inflow temperature via the interface unit;
Via the interface unit, receiving an input of a range of operating conditions comprising at least one piece of information among the amount of treated water, the amount of chemicals injected and the amount of blast in the sewage treatment plant;
Via the interface unit, receiving an input of an emission allowance condition including an emission allowance indicating an allowable amount of pollutants discharged from the sewage treatment plant in a predetermined period and a purchase price or a sale price of the emission allowance;
With reference to the input inflow condition, the input operation condition, the database of the storage unit and the numerical model, a discharge water quality prediction value is calculated from the sewage treatment plant in a predetermined period, and the calculated discharge water quality Based on the predicted value, the input operating condition and the input emission allowance condition, the predicted emission pollutant load value is calculated, and the calculated emission pollutant from the allowable emission pollutant amount of the input emission allowance condition. A value obtained by subtracting the predicted cost of operation calculated based on the input operating condition from the value obtained by subtracting the predicted load value and the purchase price or sale price of the emission allowance. And a step of searching from the inputted operating conditions for an operating condition that maximizes a certain frame transaction effect index value.   A sewage treatment operation support program for causing a computer to execute the sewage treatment operation support method according to claim 8.

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