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JP7621180B2 - Wastewater treatment method and wastewater treatment device - Google Patents
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JP7621180B2 - Wastewater treatment method and wastewater treatment device - Google Patents

Wastewater treatment method and wastewater treatment device Download PDF

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JP7621180B2
JP7621180B2 JP2021081413A JP2021081413A JP7621180B2 JP 7621180 B2 JP7621180 B2 JP 7621180B2 JP 2021081413 A JP2021081413 A JP 2021081413A JP 2021081413 A JP2021081413 A JP 2021081413A JP 7621180 B2 JP7621180 B2 JP 7621180B2
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JP2022175196A (en
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太一 山本
賢吾 河原
啓徳 油井
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Organo Corp
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    • YGENERAL 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
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    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
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Description

本発明は、生物処理により有機性排水を処理する排水処理方法及び排水処理装置に関する。 The present invention relates to a wastewater treatment method and a wastewater treatment device that treats organic wastewater using biological treatment.

有機物を含む排水すなわち有機性排水を環境中に放出する前に行う排水処理として、微生物を用いる生物処理が一般的に用いられている。生物処理では、微生物による有機物の分解活性を高く維持するために、水温、pHなどの環境条件を最適化するとともに、窒素やリン、微量金属などの栄養物質を添加する必要がある。生活排水が流入する公共下水道での排水に比べ、工場からの排水では栄養物質が不足しやすい。特に、化学工場や半導体製造工場からの排水では、生物処理に必要となる栄養物質の不足が顕著である。 Biological treatment using microorganisms is commonly used to treat wastewater containing organic matter, i.e., organic wastewater, before it is released into the environment. In biological treatment, in order to maintain high activity in decomposing organic matter by the microorganisms, it is necessary to optimize environmental conditions such as water temperature and pH, as well as add nutrients such as nitrogen, phosphorus, and trace metals. Compared to wastewater from public sewerage systems into which domestic wastewater flows, wastewater from factories is more likely to be deficient in nutrients. In particular, wastewater from chemical plants and semiconductor manufacturing plants is noticeably deficient in the nutrients required for biological treatment.

有機性排水である原水に対する栄養物質の添加量は、原水での有機物濃度に比例させることが推奨されている。原水における有機物濃度が生物化学的酸素要求量(BOD)で表されているとして、好気性微生物による排水処理すなわち好気処理における栄養物質としての窒素(N)及びリン(P)の好ましい添加量は、質量基準で、例えば、BOD:N:P=100:5:1である。原水のBOD測定をオンラインであるいは短時間で行うことは難しいが、水中の全有機炭素(TOC)濃度の測定はオンラインで行うことができるので、原水におけるTOC濃度とBODとの相関を事前に取得しておき、オンラインのTOC濃度計によって原水のTOC濃度をモニタリングした上でこれをBOD値に変換し、得られたBOD値に基づいて窒素及びリンの添加量を制御することが行われている(例えば、特許文献1)。 It is recommended that the amount of nutrients added to raw water, which is organic wastewater, be proportional to the organic matter concentration in the raw water. Assuming that the organic matter concentration in the raw water is expressed as biochemical oxygen demand (BOD), the preferred amounts of nitrogen (N) and phosphorus (P) added as nutrients in wastewater treatment by aerobic microorganisms, i.e., aerobic treatment, are, for example, BOD:N:P = 100:5:1 by mass. It is difficult to measure the BOD of raw water online or in a short time, but the total organic carbon (TOC) concentration in water can be measured online. Therefore, the correlation between the TOC concentration and BOD in the raw water is obtained in advance, the TOC concentration of the raw water is monitored with an online TOC concentration meter, and converted to a BOD value, and the amount of nitrogen and phosphorus added is controlled based on the obtained BOD value (for example, Patent Document 1).

特開2001-334285号公報JP 2001-334285 A

オンラインで測定したTOC濃度に基づいて栄養物質の添加量を制御する方法では、オンラインTOC濃度計の配管の内部において、懸濁物質(SS)や油分の蓄積、バイオフィルムの形成などによって目詰まりが生じ、測定値が不安定になる、という課題がある。 The method of controlling the amount of nutrients added based on the TOC concentration measured online has the problem that the inside of the piping of the online TOC concentration meter can become clogged due to the accumulation of suspended solids (SS) and oil, and the formation of biofilms, making the measurement unstable.

本発明の目的は、有機性排水の生物処理において、有機性排水である原水に対する栄養物質の添加量を最適化することができる排水処理方法及び排水処理装置を提供することにある。 The object of the present invention is to provide a wastewater treatment method and wastewater treatment device that can optimize the amount of nutrients added to the raw water, which is organic wastewater, in the biological treatment of organic wastewater.

本発明の排水処理方法は、反応槽において有機性排水である原水を生物処理する排水処理方法であって、反応槽内の水から放出される気体中の二酸化炭素濃度を測定する第1の測定工程と、反応槽内の水の水質に関する1以上の測定値を取得する第2の測定工程と、第1の測定工程で得られた二酸化炭素濃度の測定値と、第2の測定工程で得られた1以上の測定値とに基づいて、生物処理に用いられる微生物がその微生物が有する分解特性を維持し、増殖するために必要な栄養物質の原水への添加量を制御する制御工程と、を有し、水質に関する1以上の測定値は、pH、水温、溶存酸素濃度、酸化還元電位、導電率及び濁度の中から選ばれた1項目以上の測定値であって、pHの測定値を含んでいる。 The wastewater treatment method of the present invention is a wastewater treatment method for biologically treating raw water, which is organic wastewater, in a reaction tank, and includes a first measurement step of measuring the carbon dioxide concentration in gas released from the water in the reaction tank, a second measurement step of obtaining one or more measurement values related to the water quality of the water in the reaction tank, and a control step of controlling the amount of nutrients added to the raw water, which are necessary for the microorganisms used in the biological treatment to maintain and grow their decomposition characteristics, based on the measurement value of the carbon dioxide concentration obtained in the first measurement step and the one or more measurement values obtained in the second measurement step, and the one or more measurement values related to the water quality are measurement values of one or more items selected from pH, water temperature, dissolved oxygen concentration, oxidation-reduction potential, electrical conductivity, and turbidity, and include a measurement value of pH .

本発明の排水処理装置は、有機性排水である原水を生物処理する反応槽と、生物処理に用いられる微生物がその微生物が有する分解特性を維持し、増殖するために必要な栄養物質を原水に添加する添加手段と、反応槽内の水から放出される気体中の二酸化炭素濃度を測定する第1のセンサを有する第1の測定手段と、反応槽内の水の水質に関する1以上の測定値を取得する第2の測定手段と、第1の測定手段で得られた二酸化炭素濃度値と、第2の測定手段で得られた1以上の測定値とに基づいて、添加手段による栄養物質の添加量を制御する制御手段と、を有し、水質に関する1以上の測定値は、pH、水温、溶存酸素濃度、酸化還元電位、導電率及び濁度の中から選ばれた1項目以上の測定値であって、pHの測定値を含んでいる。 The wastewater treatment device of the present invention comprises a reaction tank for biologically treating raw water which is organic wastewater, an addition means for adding nutrients to the raw water which are necessary for the microorganisms used in the biological treatment to maintain their decomposition characteristics and grow , a first measurement means having a first sensor for measuring the carbon dioxide concentration in the gas released from the water in the reaction tank, a second measurement means for acquiring one or more measurement values relating to the water quality of the water in the reaction tank, and a control means for controlling the amount of nutrients added by the addition means based on the carbon dioxide concentration value obtained by the first measurement means and the one or more measurement values obtained by the second measurement means , wherein the one or more measurement values relating to the water quality are measurement values of one or more items selected from pH, water temperature, dissolved oxygen concentration, oxidation-reduction potential, conductivity and turbidity, and include a measurement value of pH .

本発明によれば、有機性排水の生物処理において、有機性排水である原水に対する栄養物質の添加量を最適化することが可能になる。 According to the present invention, it is possible to optimize the amount of nutrients added to the raw water, which is organic wastewater, in the biological treatment of organic wastewater.

本発明の実施の一形態の排水処理装置を示す図である。1 is a diagram showing a wastewater treatment device according to an embodiment of the present invention; 別の実施形態の排水処理装置を示す図である。FIG. 13 is a diagram showing a wastewater treatment device according to another embodiment. 別の実施形態の排水処理装置を示す図である。FIG. 13 is a diagram showing a wastewater treatment device according to another embodiment.

次に、本発明の実施の形態について、図面を参照して説明する。 Next, an embodiment of the present invention will be described with reference to the drawings.

本発明は、有機性排水である原水に対し微生物を用いる生物処理を行い、原水中の有機物質を分解除去する技術に関するものである。本発明が対象とする有機性排水は、生物処理が適用可能なものであれば特に制限されるものではなく、例えば、下水処理において排出される排水、食品工場、化学工場、半導体製造工場、液晶製造工場、紙パルプ工場などの各工場から排出される排水、さらには、これら以外の分野の事業所から排出される排水などを含んでいる。公共下水道での排水に比べ、民間工場からの排水では、生物処理に用いる微生物が有する分解活性を高く維持するために必要な栄養物質が不足しやすく、特に、化学工場や半導体製造工場、液晶製造工場からの排水では、栄養物質の不足が顕著である。有機物を含まない無機硝酸排水(あるいは無機亜硝酸排水)に対してメチルアルコールなどの外部有機源を添加して脱窒処理を行うときの、外部有機源を加えた排水も本発明が対象とする有機性排水である。本発明における生物処理には、好気処理、嫌気処理、脱窒処理などが含まれ、これらの生物処理は、活性汚泥法、膜分離活性汚泥法(MBR)、流動床または固定床による生物膜法、あるいはグラニュール法などにより実行される。 The present invention relates to a technology for performing biological treatment using microorganisms on raw water, which is organic wastewater, and decomposing and removing organic substances in the raw water. The organic wastewater that is the subject of the present invention is not particularly limited as long as it is applicable to biological treatment, and includes, for example, wastewater discharged from sewage treatment, wastewater discharged from various factories such as food factories, chemical factories, semiconductor manufacturing factories, liquid crystal manufacturing factories, and paper and pulp factories, as well as wastewater discharged from business establishments in other fields. Compared to wastewater from public sewerage systems, wastewater from private factories is prone to lacking nutrients necessary to maintain high decomposition activity of the microorganisms used in biological treatment, and the lack of nutrients is particularly noticeable in wastewater from chemical factories, semiconductor manufacturing factories, and liquid crystal manufacturing factories. When an external organic source such as methyl alcohol is added to inorganic nitrate wastewater (or inorganic nitrite wastewater) that does not contain organic matter and a denitrification treatment is performed, the wastewater to which an external organic source has been added is also an organic wastewater that is the subject of the present invention. The biological treatment in this invention includes aerobic treatment, anaerobic treatment, denitrification treatment, etc., and these biological treatments are carried out by the activated sludge process, the membrane bioreactor (MBR) process, the biofilm process using a fluidized bed or fixed bed, or the granular process, etc.

図1は、本発明の実施の一形態の排水処理装置を示している。図1に示す排水処理装置は、有機性排水である原水を貯えて好気条件にて原水の生物処理を行う流動床型の反応槽10を備えている。反応槽10は生物処理水槽であって、反応槽10からは、生物処理によって有機物が分解除去された処理水が排出する。反応槽10には、担体11が充填されており、反応槽10の底部には、酸素を供給するためにすなわちエアレーションのために反応槽10内に空気を吹き込む散気装置12が設けられている。反応槽10には、反応槽10に原水を供給する入口配管13が接続している。散気装置12には、散気装置12に空気を供給するための気体配管14が接続しており、気体配管14には、送気用のブロア15が設けられている。ここで使用できる担体11としては、例えば、プラスチック製担体、スポンジ状担体、ゲル状担体などが挙げられるが、これらの中では、コストや耐久性の観点から、スポンジ状担体を用いることが好ましい。反応槽10には担体11を撹拌する撹拌装置を設けてもよい。 1 shows a wastewater treatment device according to an embodiment of the present invention. The wastewater treatment device shown in FIG. 1 includes a fluidized bed type reaction tank 10 that stores raw water, which is organic wastewater, and biologically treats the raw water under aerobic conditions. The reaction tank 10 is a biological treatment tank, and treated water from which organic matter has been decomposed and removed by biological treatment is discharged from the reaction tank 10. The reaction tank 10 is filled with carriers 11, and an air diffuser 12 is provided at the bottom of the reaction tank 10 to blow air into the reaction tank 10 for aeration, i.e., to supply oxygen. An inlet pipe 13 that supplies raw water to the reaction tank 10 is connected to the reaction tank 10. A gas pipe 14 is connected to the air diffuser 12 to supply air to the air diffuser 12, and the gas pipe 14 is provided with a blower 15 for air supply. Examples of the carrier 11 that can be used here include plastic carriers, sponge-like carriers, and gel-like carriers, but among these, it is preferable to use a sponge-like carrier from the standpoint of cost and durability. The reaction tank 10 may be provided with a stirring device for stirring the carrier 11.

生物処理において微生物がその分解活性を高く維持し、増殖するためには、栄養物質が必要であり、原水において栄養物質が不足する場合には、反応槽10内または反応槽10の前段において原水に栄養物質を添加する必要がある。本実施形態の排水処理装置では、栄養物質の溶液(すなわち栄養液)を貯える栄養物質貯槽21が設けられており、栄養物質貯槽21と入口配管13とは栄養液配管22を介して接続している。栄養液配管22には、栄養液を給送するポンプ23が設けられている。したがってこの排水処理装置では、入口配管13を流れて反応槽10に供給される原水に対して栄養物質を添加することができ、ポンプ23を制御することにより原水に対する栄養物質の添加量を制御することができる。栄養物質は、大別すると、窒素やリンを含む栄養塩と、窒素やリンに比べて必要量の少ない微量元素とに分けられる。微量元素には、ナトリウム、カリウム、カルシウム及びマグネシウムなどのアルカリ金属類、鉄、マンガン及び亜鉛などの金属類などが含まれる。窒素源としては、尿素やアンモニウム塩を用いることができる。リン源としては、リン酸やリン酸塩を用いることができる。 In biological treatment, nutrients are necessary for microorganisms to maintain high decomposition activity and grow. When nutrients are insufficient in the raw water, nutrients must be added to the raw water in the reaction tank 10 or in the upstream of the reaction tank 10. In the wastewater treatment device of this embodiment, a nutrient storage tank 21 is provided for storing a solution of nutrients (i.e., nutrient liquid), and the nutrient storage tank 21 and the inlet pipe 13 are connected via a nutrient liquid pipe 22. The nutrient liquid pipe 22 is provided with a pump 23 for feeding the nutrient liquid. Therefore, in this wastewater treatment device, nutrients can be added to the raw water that flows through the inlet pipe 13 and is supplied to the reaction tank 10, and the amount of nutrients added to the raw water can be controlled by controlling the pump 23. Nutrients can be roughly divided into nutrient salts containing nitrogen and phosphorus, and trace elements that are required in smaller amounts than nitrogen and phosphorus. Trace elements include alkali metals such as sodium, potassium, calcium, and magnesium, and metals such as iron, manganese, and zinc. Urea and ammonium salts can be used as nitrogen sources. Phosphorus sources can include phosphoric acid and phosphates.

本実施形態の排水処理装置では、生物処理により反応槽10内の水から放出される気体中の二酸化炭素濃度と、反応槽10内の水の水質に関する1以上の測定値から算出される原水BOD濃度とに基づいて、栄養物質の添加量を制御する。そのため反応槽10には、反応槽10内の水から放出される気体中の二酸化炭素濃度を測定する二酸化炭素濃度センサ31と、1以上の項目について水質を測定する水質測定部33が設けられている。反応槽10が蓋16によって覆われているとして、二酸化炭素濃度センサ31は、反応槽10内の気相部や、この気相部に接続した配管内などに設置される。二酸化炭素濃度センサ31の結露を避ける必要があるため、配管内に設置する場合には、配管の保温などを図るとともに、二酸化炭素濃度センサ31の直前の位置に、ミストセパレータを設置してもよい。また、腐食性ガスを除去する脱硫装置などを配置してもよい。反応槽10が開放系である場合には、測定結果における外気による影響を軽減するために、反応槽10の上部の開放部を極力小さくした上で、筒状の配管などを水面下まで挿入し、その配管において水面上となる位置に二酸化炭素濃度センサ31を配置することができる。二酸化炭素濃度センサ31としては、例えば、光学式、電気化学式あるいは半導体式のものを用いることができるが、特に、非分散型赤外線吸収法(NDIR)によるセンサを用いることが好ましい。二酸化炭素濃度の測定は、マニュアル(手動)で行ってもオンラインで行ってもよい。 In the wastewater treatment device of this embodiment, the amount of nutrients added is controlled based on the carbon dioxide concentration in the gas released from the water in the reaction tank 10 by biological treatment and the raw water BOD concentration calculated from one or more measured values related to the water quality in the reaction tank 10. For this reason, the reaction tank 10 is provided with a carbon dioxide concentration sensor 31 that measures the carbon dioxide concentration in the gas released from the water in the reaction tank 10 and a water quality measurement unit 33 that measures the water quality for one or more items. Assuming that the reaction tank 10 is covered with a lid 16, the carbon dioxide concentration sensor 31 is installed in the gas phase part of the reaction tank 10 or in a pipe connected to this gas phase part. Since it is necessary to avoid condensation of the carbon dioxide concentration sensor 31, when it is installed in the pipe, the pipe may be kept warm, and a mist separator may be installed immediately before the carbon dioxide concentration sensor 31. In addition, a desulfurization device or the like that removes corrosive gases may be installed. When the reaction tank 10 is an open system, in order to reduce the influence of outside air on the measurement results, the open part at the top of the reaction tank 10 can be made as small as possible, a cylindrical pipe or the like can be inserted below the water surface, and the carbon dioxide concentration sensor 31 can be placed in the pipe at a position above the water surface. The carbon dioxide concentration sensor 31 can be, for example, an optical, electrochemical, or semiconductor type, but it is particularly preferable to use a sensor using the non-dispersive infrared absorption method (NDIR). The carbon dioxide concentration can be measured manually or online.

反応槽10内の水の水質として水質測定部33が測定する項目としては、例えば、pH(水素イオン濃度指数)、水温、溶存酸素濃度(DO)、酸化還元電位(ORP)、導電率、濁度などが挙げられ、水質測定部33は、このうちの1以上の項目について測定を行えるように構成されている。よく知られているように水中における無機炭酸の形態はpHに応じてCO、HCO 、CO 2-と変化するので、pHは、生物処理により反応槽10内の水から放出される気体中の二酸化炭素濃度との関連が特に大きいと考えられる。また、水温に応じて二酸化炭素の溶解度が変化するので、水温も、反応槽10内の水から放出される気体中の二酸化炭素濃度との関連が大きい。本実施形態では、原水のBODを実測せずに、その代わりに、生物処理によって放出された二酸化炭素の濃度を含む測定値を用いて栄養物質の添加量を制御するので、水質測定部33が測定する項目にはpH、水温が含まれていることが好ましい。水質測定部33における測定は、マニュアル式で行われてもよく、オンラインで行われてもよい。 Items measured by the water quality measuring unit 33 as the water quality of the water in the reaction tank 10 include, for example, pH (hydrogen ion concentration index), water temperature, dissolved oxygen concentration (DO), oxidation-reduction potential (ORP), conductivity, turbidity, etc., and the water quality measuring unit 33 is configured to measure one or more of these items. As is well known, the form of inorganic carbon dioxide in water changes to CO 2 , HCO 3 - , and CO 3 2- depending on the pH, so it is considered that the pH is particularly closely related to the carbon dioxide concentration in the gas released from the water in the reaction tank 10 by biological treatment. In addition, since the solubility of carbon dioxide changes depending on the water temperature, the water temperature is also closely related to the carbon dioxide concentration in the gas released from the water in the reaction tank 10. In this embodiment, the BOD of the raw water is not actually measured, and instead, the amount of added nutrients is controlled using a measured value including the concentration of carbon dioxide released by biological treatment, so it is preferable that the items measured by the water quality measuring unit 33 include pH and water temperature. The measurement in the water quality measuring unit 33 may be performed manually or online.

オンラインで水中の全有機炭素(TOC)濃度を測定するオンラインTOC濃度計もあるが、オンラインTOC濃度計は、少量の試料水を測定装置に引き込むために細い配管を備えており、目詰まりが発生しやすく測定値が安定しない。一方、二酸化炭素濃度センサ31は、水と接触することなく測定を行うので、測定値の安定性が非常に高い。また、pHや水温などを測定する水質測定部33も、反応槽10に浸漬する形式のセンサであるので、その測定値の安定性が高い。 There are also online TOC concentration meters that measure the total organic carbon (TOC) concentration in water online, but these have thin piping to draw in small amounts of sample water into the measuring device, which can easily become clogged and can lead to unstable measurements. On the other hand, the carbon dioxide concentration sensor 31 measures without coming into contact with the water, so the measurements are very stable. In addition, the water quality measuring unit 33 that measures pH, water temperature, etc. is a sensor that is immersed in the reaction tank 10, so the measurements are also very stable.

次に、図1に示す排水処理装置における栄養物質の添加量の制御について説明する。原水に栄養物質(栄養塩及び微量金属)を添加するときの添加量は、原水における有機物濃度、好ましくはBODに比例させることが推奨されている。例えば、好気処理における窒素(N)及びリン(P)の添加量を、質量基準で、BOD:N:P=100:5:1とすることが推奨されている。本実施形態では、原水のBODをオンラインTOC濃度計などによって測定せずに、その代わり、生物処理により反応槽10内の水から放出される気体中の二酸化炭素濃度と、反応槽10内の水の水質とを測定する。そして、二酸化炭素濃度の測定値と水質に関する1以上の測定値とから原水のBOD値を算出し、算出されたBOD値に基づいて栄養物質の添加量を決定する。そのためにまず本実施形態では、二酸化炭素濃度センサ31で測定された二酸化炭素濃度と水質測定部33で得られた測定値との組み合わせを入力値(Xn)とし、入力値(Xn)に対応する原水のBOD濃度を出力値(Yn)とし、入力値と出力値との組み合わせを事前に一定数(例えは数十から百セット)取得した上で、モデル(あるいは関係式)を作成する。ひとたびモデルが作成されれば、それ以降は、二酸化炭素濃度センサ31で測定した二酸化炭素濃度の測定値と水質測定部33で得られた測定値との組み合わせをモデルに入力し、その結果としてモデルから出力されるBOD濃度値に基づいて、ポンプ23を駆動し、原水への栄養物質の添加の有無や添加量を制御する。このような制御を行なうために、排水処理装置は、作成されたモデルを保持し、二酸化炭素濃度センサ31で得られた二酸化炭素濃度値と水質測定部33で得られた測定値とをモデルに適用して原水のBOD濃度値を算出し、BOD濃度値に基づいてポンプ23のを発停や流量を制御する制御装置40を備えている。 Next, the control of the amount of added nutrients in the wastewater treatment device shown in FIG. 1 will be described. It is recommended that the amount of added nutrients (nutrient salts and trace metals) when added to raw water should be proportional to the organic matter concentration in the raw water, preferably the BOD. For example, it is recommended that the amount of added nitrogen (N) and phosphorus (P) in aerobic treatment be BOD:N:P=100:5:1 by mass. In this embodiment, the BOD of the raw water is not measured by an online TOC concentration meter or the like, but instead, the carbon dioxide concentration in the gas released from the water in the reaction tank 10 by biological treatment and the water quality in the reaction tank 10 are measured. Then, the BOD value of the raw water is calculated from the measured value of the carbon dioxide concentration and one or more measured values related to the water quality, and the amount of added nutrients is determined based on the calculated BOD value. For this purpose, in this embodiment, a combination of the carbon dioxide concentration measured by the carbon dioxide concentration sensor 31 and the measurement value obtained by the water quality measurement unit 33 is set as an input value (Xn), and the BOD concentration of the raw water corresponding to the input value (Xn) is set as an output value (Yn), and a certain number of combinations of the input value and the output value are acquired in advance (for example, several tens to a hundred sets), and then a model (or a relational expression) is created. Once the model is created, the combination of the measurement value of the carbon dioxide concentration measured by the carbon dioxide concentration sensor 31 and the measurement value obtained by the water quality measurement unit 33 is input to the model, and the pump 23 is driven based on the BOD concentration value output from the model as a result, and the presence or absence of addition of nutrients to the raw water and the amount of addition are controlled. In order to perform such control, the wastewater treatment device is provided with a control device 40 that holds the created model, applies the carbon dioxide concentration value obtained by the carbon dioxide concentration sensor 31 and the measurement value obtained by the water quality measurement unit 33 to the model to calculate the BOD concentration value of the raw water, and controls the start/stop and flow rate of the pump 23 based on the BOD concentration value.

次に、モデルの作成について説明する。入力値が入力されたときにそれに対応する原水のBOD濃度を出力値として出力するモデルは、例えば、各種の回帰分析を用いて作成することができる。特に、ニューラルネットワーク技術を用いて教師あり学習によってモデルを作成すると、栄養物質の添加量の制御の精度が向上する。二酸化炭素濃度センサ31で得られる二酸化炭素濃度は、反応槽10の構成や大きさ、反応槽10における気相部の大きさ、生物処理の種類などによって変動することもあることから、モデルは反応槽10ごとに設定してもよい。さらに、原水の種類あるいは出所によっても原水のBODと測定される二酸化炭素濃度やpHとの関係が変動する可能性があるから、原水の種類や出所ごとにモデルを用意し、そのようにして用意されたモデルの中から原水の種類や出所に応じて栄養物質の添加量の制御に用いるモデルを選択することもできる。 Next, the creation of the model will be described. A model that outputs the BOD concentration of the raw water corresponding to an input value as an output value when the input value is input can be created, for example, using various regression analyses. In particular, if a model is created by supervised learning using neural network technology, the accuracy of controlling the amount of added nutrients is improved. Since the carbon dioxide concentration obtained by the carbon dioxide concentration sensor 31 may vary depending on the configuration and size of the reaction tank 10, the size of the gas phase in the reaction tank 10, the type of biological treatment, etc., a model may be set for each reaction tank 10. Furthermore, since the relationship between the BOD of the raw water and the measured carbon dioxide concentration and pH may vary depending on the type or source of the raw water, a model may be prepared for each type and source of raw water, and a model to be used for controlling the amount of added nutrients may be selected from the models prepared in this way depending on the type and source of the raw water.

図1に示した排水処理装置では反応槽10に空気を吹き込んでいるが、大気には、通常、400ppm程度の二酸化炭素が含まれている。生物処理によって発生した二酸化炭素量を見積もるために二酸化炭素濃度を測定するときには、吹き込まれた空気に最初から二酸化炭素量を考慮する必要がある。吹き込まれる空気における二酸化炭素量の変動が小さい場合は、上述したように作成したモデルには、吹き込まれる空気に含まれる二酸化炭素の寄与が既に含まれているから、吹き込まれる空気での二酸化炭素濃度を測定することなく、そのモデルを使用して栄養物質の添加量を定めることができる。しかしながら、工場におけるボイラの排ガスが混入する空気が吹き込まれる場合など、吹き込む空気中の二酸化炭素濃度が変動するときは、反応槽10に吹き込まれる気体における二酸化炭素濃度に応じた補正を行って栄養物質の添加量を定める必要がある。図2は、そのように反応槽10に吹き込まれる二酸化炭素濃度に応じた補正を行う排水処理装置を示している。 In the wastewater treatment device shown in FIG. 1, air is blown into the reaction tank 10, but the atmosphere usually contains about 400 ppm of carbon dioxide. When measuring the carbon dioxide concentration to estimate the amount of carbon dioxide generated by biological treatment, it is necessary to take into account the amount of carbon dioxide in the blown air from the beginning. When the fluctuation in the amount of carbon dioxide in the blown air is small, the model created as described above already includes the contribution of the carbon dioxide contained in the blown air, so the amount of nutrients to be added can be determined using the model without measuring the carbon dioxide concentration in the blown air. However, when the carbon dioxide concentration in the blown air fluctuates, such as when air containing exhaust gas from a boiler in a factory is blown in, it is necessary to determine the amount of nutrients to be added by making a correction according to the carbon dioxide concentration in the gas blown into the reaction tank 10. FIG. 2 shows a wastewater treatment device that makes such a correction according to the carbon dioxide concentration blown into the reaction tank 10.

図2に示した排水処理装置は、図1に示した排水処理装置と同様のものであるが、吹き込まれる空気における二酸化炭素濃度を測定するために気体配管14においてブロア15の出口側の位置に二酸化炭素濃度センサ32が設けられている点で、図1に示したものと異なっている。気体配管14に設けられている二酸化炭素濃度センサ32での測定値も制御装置40に送られる。制御装置40は、二酸化炭素濃度センサ31での測定値と二酸化炭素濃度センサ32での測定値の差と水質測定部33で得られた測定値とをモデルに適用して原水のBOD濃度値を算出し、BOD濃度値に基づいてポンプ23を制御する。 The wastewater treatment device shown in FIG. 2 is similar to the wastewater treatment device shown in FIG. 1, but differs from that shown in FIG. 1 in that a carbon dioxide concentration sensor 32 is provided at the outlet side of the blower 15 in the gas pipe 14 to measure the carbon dioxide concentration in the air being blown in. The measurement value of the carbon dioxide concentration sensor 32 provided in the gas pipe 14 is also sent to the control device 40. The control device 40 applies the difference between the measurements of the carbon dioxide concentration sensors 31 and 32 and the measurement value obtained by the water quality measurement unit 33 to a model to calculate the BOD concentration value of the raw water, and controls the pump 23 based on the BOD concentration value.

排水処理では、生物処理を行う反応槽の複数個を直列に接続し、前段の反応槽から排出される処理水を次段の反応槽に導いて各反応槽において生物処理を行うことにより、有機物が高度に除去された処理水を得ることがある。図3は、生物処理を行う反応槽10が複数個直列にすなわち多段に設けられている排水処理装置を示している。反応槽10が2段以上の多段で設けられている場合、最前段の反応槽10において、その反応槽から放出される気体中の二酸化炭素濃度を測定するとともにその反応槽10内の水の水質に関する1以上の測定値を取得して原水のBOD濃度値を算出し、そのBOD濃度値に基づいて、最前段の反応槽10に供給される原水への栄養物質の添加量を制御することが好ましい。したがって図3に示す排水処理装置では、二酸化炭素濃度センサ31及び水質測定部33は最前段の反応槽10にのみ設けられており、栄養物質貯槽21からの栄養液は、最前段の反応槽10に接続する入口配管13内の原水に添加されるようになっている。制御装置40は、二酸化炭素濃度センサ31及び水質測定部33の測定値から原水のBOD濃度値を算出し、BOD濃度値に基づいて、栄養液を給送するポンプ23を制御する。 In wastewater treatment, multiple reaction tanks for biological treatment are connected in series, and treated water discharged from the previous reaction tank is led to the next reaction tank and biological treatment is performed in each reaction tank to obtain treated water from which organic matter has been highly removed. Figure 3 shows a wastewater treatment device in which multiple reaction tanks 10 for biological treatment are arranged in series, i.e., in multiple stages. When the reaction tanks 10 are arranged in two or more stages, it is preferable to measure the carbon dioxide concentration in the gas released from the reaction tank in the first reaction tank 10 and obtain one or more measurements regarding the water quality in the reaction tank 10 to calculate the BOD concentration value of the raw water, and control the amount of nutrients added to the raw water supplied to the first reaction tank 10 based on the BOD concentration value. Therefore, in the wastewater treatment device shown in Figure 3, the carbon dioxide concentration sensor 31 and the water quality measurement unit 33 are provided only in the first reaction tank 10, and the nutrient liquid from the nutrient storage tank 21 is added to the raw water in the inlet pipe 13 connected to the first reaction tank 10. The control device 40 calculates the BOD concentration value of the raw water from the measurements of the carbon dioxide concentration sensor 31 and the water quality measurement unit 33, and controls the pump 23 that supplies the nutrient liquid based on the BOD concentration value.

反応槽10を2段以上直列に設けた場合、最前段の反応槽10において有機物の大半が分解除去されるので、2段目以降の反応槽10において除去しなければならない有機物は少なくなる。加えて、最前段の反応槽10で増殖した微生物が死滅し解体することで栄養物質が再溶出する。それらの理由により、2段目以降の反応槽10に供給される水に改めて栄養物質を添加しなくても、2段目以降の反応槽10において生物処理を進行させることが可能になり、排水処理装置の全体としての処理性能を維持することができる。 When two or more reaction tanks 10 are provided in series, most of the organic matter is decomposed and removed in the first reaction tank 10, so there is less organic matter to be removed in the second and subsequent reaction tanks 10. In addition, nutrients are re-eluted as the microorganisms that have proliferated in the first reaction tank 10 die and break down. For these reasons, it is possible to proceed with biological treatment in the second and subsequent reaction tanks 10 without adding nutrients to the water supplied to the second and subsequent reaction tanks 10, and the overall treatment performance of the wastewater treatment system can be maintained.

次に、実施例及び比較例により、本発明をさらに詳しく説明する。 Next, the present invention will be explained in more detail with reference to examples and comparative examples.

[試験条件1]
まず、実施例1~3及び比較例1,2について共通の試験条件について説明する。容積が19Lである一段の反応槽を使用し、有機性排水である原水の好気処理による生物処理を行った。好気性微生物を疎水性ポリウレタン樹脂からなるスポンジ担体に担持し、このようなスポンジ担体を、反応槽の容積に対して嵩体積として20%で反応槽に充填した。反応槽における滞留時間を18時間とした。原水として、イソプロピルアルコール含有排水を使用した。原水におけるBOD濃度は約900mg/L(基準濃度とする)であり、原水中の窒素(N)濃度は2mg/L以下であり、リン(P)濃度は0.1mg以下であった。生物処理を行うときのBOD容積負荷は約1kg/m/日であり、水温は約20℃であり、反応槽内の水の溶存酸素濃度(DO)は2mg/L以上であり、反応槽内の水のpHは6.0~7.5であった。
[Test condition 1]
First, the common test conditions for Examples 1 to 3 and Comparative Examples 1 and 2 will be described. A single-stage reaction tank with a volume of 19 L was used to carry out aerobic biological treatment of raw water, which was organic wastewater. Aerobic microorganisms were supported on a sponge carrier made of hydrophobic polyurethane resin, and such sponge carriers were filled in the reaction tank at a bulk volume of 20% of the volume of the reaction tank. The residence time in the reaction tank was 18 hours. Wastewater containing isopropyl alcohol was used as the raw water. The BOD concentration in the raw water was about 900 mg/L (standard concentration), the nitrogen (N) concentration in the raw water was 2 mg/L or less, and the phosphorus (P) concentration was 0.1 mg or less. The BOD volume load during biological treatment was about 1 kg/m 3 /day, the water temperature was about 20°C, the dissolved oxygen concentration (DO) of the water in the reaction tank was 2 mg/L or more, and the pH of the water in the reaction tank was 6.0 to 7.5.

BOD:N:Pが100:5:1となるように原水に対して栄養塩(窒素(N)及びリン(P))を十分に添加し、反応槽内の水から放出される二酸化炭素濃度と、反応槽内の水のpHと溶存酸素(DO)の濃度をモニタリングした。このようなモニタリングを、原水におけるBOD濃度を意図的に基準濃度の100%から30%と60%に変化させながら繰り返し実行した。なお、原水のBOD濃度を高い精度で算出できるということは、栄養塩添加制御の精度が高いことと同じ意味を有する。 Sufficient nutrients (nitrogen (N) and phosphorus (P)) were added to the raw water so that the BOD:N:P ratio was 100:5:1, and the concentration of carbon dioxide released from the water in the reaction tank, as well as the pH and dissolved oxygen (DO) concentrations of the water in the reaction tank were monitored. This type of monitoring was repeated while intentionally changing the BOD concentration in the raw water from the standard concentration of 100% to 30% and 60%. Note that being able to calculate the BOD concentration of the raw water with high accuracy is equivalent to having high accuracy in nutrient addition control.

[比較例1]
二酸化炭素濃度からBOD濃度を算出することとして、二酸化炭素濃度と各BOD濃度とについて単回帰分析によって決定係数Rを算出したところ、0.840であった。
[Comparative Example 1]
The BOD concentration was calculated from the carbon dioxide concentration, and the coefficient of determination R2 was calculated by simple regression analysis between the carbon dioxide concentration and each BOD concentration, and was found to be 0.840.

[実施例1]
二酸化炭素濃度と反応槽内の水のpHとからBOD濃度を算出することとして、二酸化炭素濃度とpHと各BOD濃度とについて重回帰分析によって決定係数Rを算出したところ、0.991であった。二酸化炭素濃度だけを用いる場合に比べ、二酸化炭素濃度とpHとを用いることにより、BOD濃度の算出精度が大幅に向上することが分かった。
[Example 1]
The BOD concentration was calculated from the carbon dioxide concentration and the pH of the water in the reaction tank, and the coefficient of determination R2 was calculated by multiple regression analysis for the carbon dioxide concentration, pH, and each BOD concentration, and was found to be 0.991. It was found that the accuracy of calculating the BOD concentration was significantly improved by using the carbon dioxide concentration and pH, compared to using only the carbon dioxide concentration.

[実施例2]
二酸化炭素濃度と反応槽内の水のpHとからBOD濃度を算出することとして、二酸化炭素濃度とpHと各BOD濃度とについてニューラルネットワーク分析によって決定係数Rを算出したところ、0.996であった。ニューラルネットワークモデルを用いることにより、算出精度がさらに向上することが分かった。
[Example 2]
The BOD concentration was calculated from the carbon dioxide concentration and the pH of the water in the reaction tank, and the coefficient of determination R2 was calculated by neural network analysis for the carbon dioxide concentration, pH, and each BOD concentration, and was found to be 0.996. It was found that the calculation accuracy was further improved by using a neural network model.

[ニューラルネットワーク分析における誤差分散値]
上述した試験条件によれば、二酸化炭素濃度、pH及び溶存酸素濃度がモニタリングされている。したがって、入力を二酸化炭素濃度、pH及び溶存酸素濃度とし、出力をBOD濃度とするデータセットが複数得られたことになる。そこで取得した全データセットに関して、特定の1つのデータセットをテストデータとし、その他のデータセットを教師データとして教師データからニューラルネットワーク分析によってモデルを作成し、そのモデルに対してテストデータを入力したときの出力値と、原水のBODの実測値との誤差を求めた。クロスバリデーション(交差検証)としてこのような操作をすべてのデータセットに対して繰り返し実施し、得られた誤差の分散値を算出して評価した。なお、誤差分散値は、その値が低いほど、原水のBOD濃度を適切に算出できていることを示している。
[Error variance in neural network analysis]
According to the above-mentioned test conditions, the carbon dioxide concentration, pH and dissolved oxygen concentration are monitored. Therefore, a plurality of data sets are obtained in which the input is the carbon dioxide concentration, pH and dissolved oxygen concentration, and the output is the BOD concentration. Then, for all the obtained data sets, a specific data set is used as test data, and the other data sets are used as teacher data, and a model is created from the teacher data by neural network analysis, and the error between the output value when the test data is input to the model and the actual measured value of the BOD of the raw water is obtained. This operation is repeated for all the data sets as cross-validation, and the variance value of the obtained error is calculated and evaluated. Note that the lower the error variance value, the more appropriately the BOD concentration of the raw water is calculated.

[比較例2]
入力として二酸化炭素濃度のみを用いたデータセットに関して誤差分散値を求めたところ、290であった。
[Comparative Example 2]
The error variance was determined to be 290 for a data set using only carbon dioxide concentration as input.

[実施例3]
入力として二酸化炭素濃度と溶存酸素濃度を用いたデータセットに関して誤差分散値を求めたところ、誤差分散値は61に改善した。入力として二酸化炭素濃度とpHを用いたデータセットに関して誤差分散値を求めたところ、11であった。入力として二酸化炭素濃度とpHと溶存酸素濃度を用いたデータセットに関して誤差分散値を求めたところ、22であった。
[Example 3]
The error variance was determined for a data set using carbon dioxide and dissolved oxygen as inputs, improving to 61. The error variance was determined for a data set using carbon dioxide and pH as inputs, giving 11. The error variance was determined for a data set using carbon dioxide, pH, and dissolved oxygen as inputs, giving 22.

[試験条件2]
試験条件2は、実施例4,5及び比較例3に共通の試験条件である。試験条件1に対して、スポンジ担体を、反応槽の容積に対して嵩体積として30%で反応槽に充填し、反応槽における滞留時間は8時間、水温は20~30℃に変動させた。生物処理を行うときのBOD容積負荷は約3kg/m/日であり、反応槽内の水のpHは5.6~7.8であった。反応槽内の水から放出される二酸化炭素濃度と、反応槽内の水のpHと水温をモニタリングした。
[Test condition 2]
Test condition 2 is a test condition common to Examples 4 and 5 and Comparative Example 3. In contrast to test condition 1, the sponge carrier was filled in the reaction tank at a bulk volume of 30% of the volume of the reaction tank, the residence time in the reaction tank was 8 hours, and the water temperature was varied from 20 to 30°C. The BOD volume load during biological treatment was approximately 3 kg/m 3 /day, and the pH of the water in the reaction tank was 5.6 to 7.8. The carbon dioxide concentration released from the water in the reaction tank, and the pH and water temperature of the water in the reaction tank were monitored.

[比較例3]
二酸化炭素濃度からBOD濃度を算出することとして、二酸化炭素濃度と各BOD濃度とについて単回帰分析によって決定係数Rを算出したところ、0.770であった。
[Comparative Example 3]
The BOD concentration was calculated from the carbon dioxide concentration, and the coefficient of determination R2 was calculated by simple regression analysis between the carbon dioxide concentration and each BOD concentration, and was found to be 0.770.

[実施例4]
二酸化炭素濃度と反応槽内の水温とからBODを算出することとして、二酸化炭素濃度と水温と各BOD濃度とについてニューラルネットワーク分析によって決定係数Rを算出したところ、0.927であった。二酸化炭素濃度だけを用いる場合に比べ、二酸化炭素濃度と水温とを用いることにより、BOD濃度の算出精度が大幅に向上することが分かった。
[Example 4]
The BOD was calculated from the carbon dioxide concentration and the water temperature in the reaction tank, and the coefficient of determination R2 was calculated by neural network analysis for the carbon dioxide concentration, water temperature, and each BOD concentration, and was found to be 0.927. It was found that the accuracy of calculating the BOD concentration was significantly improved by using the carbon dioxide concentration and the water temperature compared to using only the carbon dioxide concentration.

[実施例5]
二酸化炭素濃度と反応槽内の水温とpHからBODを算出することとして、二酸化炭素濃度、水温、pHと各BOD濃度とについてニューラルネットワーク分析によって決定係数Rを算出したところ、0.926であった。二酸化炭素濃度だけを用いる場合に比べ、二酸化炭素濃度と水温とpHを用いることにより、BOD濃度の算出精度が大幅に向上することが分かった。
[Example 5]
The BOD was calculated from the carbon dioxide concentration and the water temperature and pH in the reaction tank, and the coefficient of determination R2 was calculated by neural network analysis for the carbon dioxide concentration, water temperature, pH, and each BOD concentration, and was found to be 0.926. It was found that the accuracy of calculating the BOD concentration was significantly improved by using the carbon dioxide concentration, water temperature, and pH, compared to using only the carbon dioxide concentration.

比較例及び実施例より、二酸化炭素濃度に加えて反応槽内の水の水質に関する測定値を1以上用い、事前に作成したモデルを用いて原水のBOD濃度を算出することで、栄養物質の添加量を最適化できることが分かった。 From the comparative examples and examples, it was found that the amount of nutrients added can be optimized by using one or more measured values of the water quality in the reaction tank in addition to the carbon dioxide concentration and calculating the BOD concentration of the raw water using a model created in advance.

10 反応槽
11 担体
12 散気装置
13 入口配管
14 気体配管
15 ブロワ
16 蓋
21 栄養物質貯槽
22 栄養液配管
23 ポンプ
31,32 二酸化炭素濃度センサ
33 水質測定部
40 制御装置
REFERENCE SIGNS LIST 10 Reaction tank 11 Carrier 12 Air diffuser 13 Inlet pipe 14 Gas pipe 15 Blower 16 Lid 21 Nutrient storage tank 22 Nutrient liquid pipe 23 Pump 31, 32 Carbon dioxide concentration sensor 33 Water quality measurement unit 40 Control device

Claims (8)

反応槽において有機性排水である原水を生物処理する排水処理方法であって、
前記反応槽内の水から放出される気体中の二酸化炭素濃度を測定する第1の測定工程と、
前記反応槽内の水の水質に関する1以上の測定値を取得する第2の測定工程と、
前記第1の測定工程で得られた二酸化炭素濃度の測定値と、前記第2の測定工程で得られた前記1以上の測定値とに基づいて、前記生物処理に用いられる微生物が当該微生物が有する分解特性を維持し、増殖するために必要な栄養物質の前記原水への添加量を制御する制御工程と、
を有し、
前記水質に関する1以上の測定値は、pH、水温、溶存酸素濃度、酸化還元電位、導電率及び濁度の中から選ばれた1項目以上の測定値であって、pHの測定値を含んでいる、排水処理方法。
A wastewater treatment method for biologically treating raw water, which is organic wastewater, in a reaction tank, comprising:
a first measuring step of measuring a carbon dioxide concentration in a gas released from the water in the reaction tank;
a second measuring step of obtaining one or more measurements related to the water quality in the reaction tank;
a control step of controlling an amount of nutrients required for the microorganisms used in the biological treatment to maintain the decomposition properties of the microorganisms and grow, based on the measured value of the carbon dioxide concentration obtained in the first measurement step and the one or more measured values obtained in the second measurement step, to be added to the raw water ;
having
The one or more measured values relating to water quality are one or more measured values selected from pH, water temperature, dissolved oxygen concentration, oxidation-reduction potential, electrical conductivity and turbidity, and include a measured value of pH .
前記第1の測定工程で得られた二酸化炭素濃度の測定値と、前記第2の測定工程で得られた前記1以上の測定値とから原水の有機物濃度を算出する算出工程を有し、
前記制御工程は、前記有機物濃度に基づいて、前記原水への栄養物質の添加量を制御する工程である、請求項1に記載の排水処理方法。
A calculation step of calculating an organic matter concentration of raw water from the measured value of the carbon dioxide concentration obtained in the first measurement step and the one or more measured values obtained in the second measurement step,
2. The wastewater treatment method according to claim 1, wherein the control step is a step of controlling an amount of nutrients added to the raw water based on the organic matter concentration.
前記第2の測定工程で取得される測定値に水温の測定値が含まれる、請求項1または2に記載の排水処理方法。 The wastewater treatment method according to claim 1 or 2 , wherein the measured values obtained in the second measuring step include a measured value of water temperature. 複数の前記反応槽が直列に設けられる場合に、最前段の反応槽に対して前記第1の測定工程と前記第2の測定工程とを実施し、前記制御工程において前記最前段の反応槽に供給される前記原水または前記最前段の反応槽内の前記原水に添加される栄養物質の添加量を制御する、請求項1乃至のいずれか1項に記載の排水処理方法。 4. The wastewater treatment method according to claim 1, wherein, when a plurality of the reaction tanks are provided in series, the first measurement step and the second measurement step are performed for a first-stage reaction tank, and an amount of nutrients added to the raw water supplied to the first-stage reaction tank or the raw water in the first-stage reaction tank is controlled in the control step . 有機性排水である原水を生物処理する反応槽と、
前記生物処理に用いられる微生物が当該微生物が有する分解特性を維持し、増殖するために必要な栄養物質を前記原水に添加する添加手段と、
前記反応槽の水から放出される気体中の二酸化炭素濃度を測定する第1のセンサを有する第1の測定手段と、
前記反応槽内の水の水質に関する1以上の測定値を取得する第2の測定手段と、
前記第1の測定手段で得られた二酸化炭素濃度値と、前記第2の測定手段で得られた前記1以上の測定値とに基づいて、前記添加手段による前記栄養物質の添加量を制御する制御手段と、
を有し、
前記水質に関する1以上の測定値は、pH、水温、溶存酸素濃度、酸化還元電位、導電率及び濁度の中から選ばれた1項目以上の測定値であって、pHの測定値を含んでいる、排水処理装置。
A reaction tank for biologically treating raw water, which is organic wastewater;
An addition means for adding nutrients necessary for the microorganisms used in the biological treatment to maintain the decomposition properties of the microorganisms and grow to the raw water ;
a first measuring means having a first sensor for measuring a carbon dioxide concentration in a gas released from the water in the reaction tank;
A second measuring means for obtaining one or more measurements related to the water quality in the reaction tank;
A control means for controlling the amount of the nutrient added by the adding means based on the carbon dioxide concentration value obtained by the first measuring means and the one or more measured values obtained by the second measuring means;
having
The one or more measured values relating to water quality are one or more measured values selected from pH, water temperature, dissolved oxygen concentration, oxidation-reduction potential, conductivity and turbidity, and include a measured value of pH .
前記制御手段は、前記第1の測定手段で得られた二酸化炭素濃度の測定値と、前記第2の測定手段で得られた前記1以上の測定値とから原水の有機物濃度を算出し、前記有機物濃度に基づいて、前記栄養物質の添加量を制御する、請求項に記載の排水処理装置。 6. The wastewater treatment device according to claim 5, wherein the control means calculates an organic matter concentration in the raw water from the measured value of the carbon dioxide concentration obtained by the first measurement means and the one or more measured values obtained by the second measurement means, and controls the amount of the nutrients to be added based on the organic matter concentration. 前記第2の測定手段で取得される測定値に水温の測定値が含まれる、請求項5または6に記載の排水処理装置。 The wastewater treatment device according to claim 5 or 6 , wherein the measured values acquired by the second measuring means include a measured value of water temperature. 複数の前記反応槽が直列に設けられ、
前記添加手段は最前段の反応槽に供給される前記原水または前記最前段の反応槽内の前記原水に栄養物質を添加し、
前記第1の測定手段及び前記第2の測定手段は前記最前段の反応槽に対して設けられている、請求項5乃至7のいずれか1項に記載の排水処理装置。
A plurality of the reaction vessels are provided in series,
The adding means adds nutrients to the raw water supplied to the first stage reaction tank or to the raw water in the first stage reaction tank,
The wastewater treatment device according to claim 5 , wherein the first measuring means and the second measuring means are provided for the reaction tank in the forefront stage.
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