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CN114835241B - Real-time monitoring and ozone intelligent adding control method for refractory organic matters in sewage - Google Patents

Real-time monitoring and ozone intelligent adding control method for refractory organic matters in sewage Download PDF

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CN114835241B
CN114835241B CN202210260267.9A CN202210260267A CN114835241B CN 114835241 B CN114835241 B CN 114835241B CN 202210260267 A CN202210260267 A CN 202210260267A CN 114835241 B CN114835241 B CN 114835241B
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refractory organic
organic matter
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CN114835241A (en
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王晓东
李峰
杨曼孜
毕学军
刘长青
哈沙·拉特纳维拉
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Qingdao University of Technology
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/72Treatment of water, waste water, or sewage by oxidation
    • C02F1/78Treatment of water, waste water, or sewage by oxidation with ozone
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/008Control or steering systems not provided for elsewhere in subclass C02F
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N21/3151Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths using two sources of radiation of different wavelengths
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    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2101/00Nature of the contaminant
    • C02F2101/30Organic compounds
    • GPHYSICS
    • G01MEASURING; TESTING
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    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3155Measuring in two spectral ranges, e.g. UV and visible
    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W10/00Technologies for wastewater treatment
    • Y02W10/30Wastewater or sewage treatment systems using renewable energies
    • Y02W10/37Wastewater or sewage treatment systems using renewable energies using solar energy

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Abstract

本发明涉及污水深度处理、再生水生产领域,提供污水中难降解有机物实时监测及臭氧智能投加控制方法,其包括建立难降解有机物的吸光度与浓度关系模型的步骤;利用光谱扫描机构实时获取难降解有机物在紫外光‑可见光光谱范围内的吸光度、并利用模型实时监测相应的难降解有机物浓度的步骤;根据难降解有机物实时监测的浓度来计算臭氧投加量,建立臭氧智能投加系统的步骤。本发明流程简单,且检测间隔短,可以实现高频的在线监测;基于该浓度监测方法建立的臭氧智能投加控制系统,能够根据测得的难降解有机物浓度决定臭氧投加量,进而控制臭氧曝气系统进行臭氧投加;本发明大大的节省了臭氧的投加量,为污水处理厂节约了运行成本。

The invention relates to the fields of advanced sewage treatment and regenerated water production, and provides a method for real-time monitoring of refractory organic matter in sewage and an intelligent ozone dosing control method, which includes the steps of establishing a model of the relationship between absorbance and concentration of refractory organic matter; using a spectral scanning mechanism to acquire refractory organic matter in real time The absorbance of organic matter in the ultraviolet-visible light spectrum range, and the steps of using the model to monitor the concentration of the corresponding refractory organic matter in real time; calculate the ozone dosage according to the real-time monitoring concentration of the refractory organic matter, and establish the steps of an ozone intelligent dosing system. The process of the invention is simple, and the detection interval is short, and high-frequency online monitoring can be realized; the ozone intelligent dosing control system established based on the concentration monitoring method can determine the ozone dosing amount according to the measured concentration of refractory organic matter, and then control the ozone concentration. The aeration system adds ozone; the invention greatly saves the dosage of ozone and saves operating costs for sewage treatment plants.

Description

污水中难降解有机物实时监测及臭氧智能投加控制方法Real-time monitoring of refractory organic matter in sewage and intelligent ozone dosing control method

技术领域technical field

本发明涉及污水深度处理、再生水生产领域,具体涉及污水中难降解有机物实时监测及臭氧智能投加控制方法。The invention relates to the fields of advanced sewage treatment and regenerated water production, in particular to a method for real-time monitoring of refractory organic matter in sewage and an intelligent ozone dosing control method.

背景技术Background technique

难降解有机物通常指在自然条件难于被生物作用发生递降分解的有机化学物质。它们会在水体,土壤等自然环境中不断积累,然后通过食物链进入生物体,并逐渐富集。不仅危害生物的健康,危害整个生态系统,最后还会进入人体,危害人类健康。所以实现污水中的难降解有机物有效降解和实时监测意义重大。Refractory organic matter generally refers to organic chemical substances that are difficult to be degraded by biological action under natural conditions. They will continue to accumulate in natural environments such as water bodies and soils, and then enter organisms through the food chain and gradually enrich. It not only endangers the health of organisms, but also endangers the entire ecosystem, and finally enters the human body, endangering human health. Therefore, it is of great significance to realize the effective degradation and real-time monitoring of refractory organic matter in sewage.

水中难降解有机物的检测技术主要有液相色谱法、液相色谱与串联质谱联用法、放射性免疫测定初筛检测法、酶联免疫吸附测定法、免疫传感器、气相色谱例子阱质谱法、毛细管电泳检测技术等,上述方法虽然检测精度高、能够用于痕量难降解有机物的检测,但是前处理操作复杂、检测设备需求高、无法实时检测。基于以上现状,紫外-可见光分光光谱法成为污水中难降解有机物实时监测的重要研究方向之一。利用不同种类难降解有机物在紫外-可见光区域内产生特征吸收的原理,构建数据驱动模型,进一步基于光电原理制成水中难降解有机物实时在线监测传感器,并与可编程逻辑控制器联合组成臭氧投加控制系统,从而实现对污水中难降解有机物的实时在线监测。The detection techniques for refractory organics in water mainly include liquid chromatography, liquid chromatography and tandem mass spectrometry, radioimmunoassay primary screening detection method, enzyme-linked immunosorbent assay, immunosensor, gas chromatography example trap mass spectrometry, capillary electrophoresis Detection technology, etc. Although the above method has high detection accuracy and can be used for the detection of trace amounts of refractory organics, the pretreatment operation is complicated, the detection equipment requirements are high, and real-time detection cannot be performed. Based on the above status quo, UV-Vis spectroscopy has become one of the important research directions for real-time monitoring of refractory organic matter in sewage. Using the principle of characteristic absorption of different types of refractory organics in the ultraviolet-visible region, construct a data-driven model, and further make a real-time online monitoring sensor for refractory organics in water based on the photoelectric principle, and combine it with a programmable logic controller to form ozone dosing Control system, so as to realize real-time online monitoring of refractory organic matter in sewage.

发明内容Contents of the invention

为解决污水中难降解有机物浓度难以在线监测和无法被生物处理有效降解的问题,本发明提出污水中难降解有机物实时监测及臭氧智能投加控制方法,其包括:In order to solve the problem that the concentration of refractory organic matter in sewage is difficult to monitor online and cannot be effectively degraded by biological treatment, the present invention proposes a real-time monitoring method for refractory organic matter in sewage and an intelligent ozone dosing control method, which includes:

建立难降解有机物的吸光度与对应化学需氧量(COD)浓度关系模型的步骤S1;Step S1 of establishing a relationship model between the absorbance of the refractory organic matter and the corresponding chemical oxygen demand (COD) concentration;

利用光谱扫描机构实时获取难降解有机物在紫外光-可见光光谱范围内的吸光度、并利用步骤S1的模型实时监测相应的难降解有机物浓度的步骤S2;Step S2 of obtaining the absorbance of the refractory organic matter in the ultraviolet-visible spectral range in real time by using the spectral scanning mechanism, and using the model of step S1 to monitor the corresponding concentration of the refractory organic matter in real time;

根据步骤S2中获得的难降解有机物实时监测的浓度来计算臭氧投加量,建立臭氧智能投加系统的步骤S3。步骤S1的具体过程包括:Calculate the ozone dosage according to the real-time monitoring concentration of refractory organic matter obtained in step S2, and establish step S3 of an ozone intelligent dosage system. The specific process of step S1 includes:

步骤一、配置具有浓度梯度的难降解有机物标准溶液,依次使用光谱扫描机构测量其在在紫外光-可见光光谱范围内的吸光度;Step 1. Configure a standard solution of refractory organic substances with a concentration gradient, and sequentially use a spectral scanning mechanism to measure its absorbance in the ultraviolet-visible spectral range;

步骤二、绘制难降解有机物在不同浓度下的紫外-可见光吸收光谱图,找到其存在的特征吸收峰所在波长;Step 2, draw the ultraviolet-visible light absorption spectrum diagram of the refractory organic substance at different concentrations, and find the wavelength where the characteristic absorption peak exists;

步骤三、将特征吸收峰所在波长下不同浓度时的吸光度值进行方程的拟合,建立难降解有机物的吸光度与COD浓度关系模型。Step 3: Fitting the absorbance values at different concentrations at the wavelength of the characteristic absorption peak to the equation, and establishing a relationship model between the absorbance of the refractory organic matter and the COD concentration.

步骤S2中,光谱扫描机构包括紫外-可见光全波长扫描仪、不透光PVC管、信号传输线路、集成化服务器和电脑;所述紫外-可见光全波长扫描仪包括LED光源发射元件,光分离装置,光路发射窗口,光路接收窗口,测量光束,清洁喷嘴,参比光束,光信号转换电信号元件,信号收集元件,电信号阵列探测器;其中:LED光源发射元件用于产生高强度的能够穿过待测液体的紫外光和可见光;LED光源发射元件产生的复合光在光分离装置处被分解出所需波长的单色光;单色光通过光路发射窗口穿过待测液体后进入光路接收窗口;光路接收窗口设计为可滑动元件,用于改变光程长度;在光路发射窗口和光路接收窗口安装了震动线性马达和空气清洁喷嘴,用于对测量窗口的有效清洁;光束在光信号转换电信号元件处被转换为相应的电信号,最终信号收集元件和电信号阵列探测器将信号通过信号传输线路传输至集成化服务器,集成化服务器用于实现数据的可视化和数据的存储。In step S2, the spectrum scanning mechanism includes an ultraviolet-visible light full-wavelength scanner, an opaque PVC pipe, a signal transmission line, an integrated server, and a computer; the ultraviolet-visible light full-wavelength scanner includes an LED light source emitting element, and a light separation device , optical path emission window, optical path receiving window, measuring beam, cleaning nozzle, reference beam, optical signal conversion electrical signal element, signal collection element, electrical signal array detector; among them: LED light source emitting element is used to generate high-intensity penetrable The ultraviolet light and visible light of the liquid to be tested; the composite light generated by the LED light source emitting element is decomposed into the monochromatic light of the required wavelength at the light separation device; the monochromatic light passes through the liquid to be tested through the optical path emission window and enters the optical path to receive Window; the optical path receiving window is designed as a slidable element for changing the length of the optical path; a vibrating linear motor and an air cleaning nozzle are installed on the optical path emitting window and the optical path receiving window for effective cleaning of the measurement window; The electrical signal element is converted into a corresponding electrical signal, and finally the signal collection element and the electrical signal array detector transmit the signal to the integrated server through the signal transmission line, and the integrated server is used to realize data visualization and data storage.

步骤一的具体过程包括:The specific process of step one includes:

P1:记录难降解有机物的相对分子质量,并计算单位质量浓度对应的化学需氧量COD值;P1: Record the relative molecular mass of the refractory organic matter, and calculate the COD value corresponding to the unit mass concentration;

P2:使用天平称量一定量优选级难降解有机物,使其在烧杯中溶解,转移至容量瓶进行定容,选定0-30mg/L COD的浓度范围,按梯度配制不同浓度的难降解有机物标准溶液;P2: Use a balance to weigh a certain amount of preferred refractory organic matter, dissolve it in a beaker, transfer it to a volumetric flask for constant volume, select a concentration range of 0-30mg/L COD, and prepare different concentrations of refractory organic matter according to the gradient standard solution;

P3:用不透光PVC管作为待测液体的容器,将配制好的难降解有机物溶液转移至PVC管中,放入紫外-可见光全波长扫描仪,进行数据采集。P3: Use an opaque PVC tube as the container of the liquid to be tested, transfer the prepared refractory organic solution into the PVC tube, and put it into a UV-visible full-wavelength scanner for data collection.

优选地,紫外-可见光全波长扫描仪的扫描波段范围是200-735nm,扫描间隔为1nm,测量最短间隔为1min。Preferably, the scanning wavelength range of the ultraviolet-visible light full-wavelength scanner is 200-735nm, the scanning interval is 1nm, and the shortest measurement interval is 1min.

步骤S3中,根据难降解有机物实时监测的浓度来计算臭氧投加量依据的公式一如下:In step S3, according to the real-time monitoring concentration of refractory organic matter, the formula 1 for calculating the basis of ozone dosage is as follows:

y3=n*Q*βy 3 =n*Q*β

式中:In the formula:

y3为臭氧的投加量,单位为mg/s;y 3 is the dosage of ozone, the unit is mg/s;

n为水样中待降解有机物的浓度,单位为mg/L;n is the concentration of organic matter to be degraded in the water sample, in mg/L;

Q为进水流量,单位为L/s;Q is the water flow rate, the unit is L/s;

β为根据实验数据所得的调整系数;β is the adjustment coefficient obtained according to the experimental data;

步骤S3的具体过程包括:The concrete process of step S3 comprises:

步骤1:以圆柱形反应器为臭氧与水样的反应器,取污水处理厂二沉池出水为实验用水,该反应器采用底部安装钛曝气头进行臭氧投加;Step 1: Use a cylindrical reactor as the reactor for ozone and water samples, and take the effluent from the secondary sedimentation tank of the sewage treatment plant as the experimental water. The reactor uses a titanium aeration head installed at the bottom for ozone dosing;

步骤2:加入一定量的水样至流通池,放入紫外-可见光全波长扫描仪,通过水泵使得水样在流通池和反应器中流通,并对难降解有机物浓度进行实时监测;Step 2: Add a certain amount of water sample to the flow cell, put it into the UV-Vis full-wavelength scanner, use the water pump to make the water sample circulate in the flow cell and the reactor, and monitor the concentration of refractory organic matter in real time;

步骤3:使用臭氧发生器产生臭氧,并连接曝气头;Step 3: Use an ozone generator to generate ozone and connect the aeration head;

步骤4:紫外-可见光全波长扫描仪的数据传输至控制系统,控制系统根据公式一实时计算臭氧投加量并控制臭氧发生器的臭氧投加量,实现智能投加。Step 4: The data of the ultraviolet-visible light full-wavelength scanner is transmitted to the control system. The control system calculates the ozone dosage in real time according to formula 1 and controls the ozone dosage of the ozone generator to realize intelligent dosage.

本发明所达到的有益效果为:The beneficial effects achieved by the present invention are:

第一、本发明提供了一种在线监测难降解有机物浓度与控制臭氧投加来降解难降解有机物的方法和系统;该方法是基于不同种类的难降解有机物在紫外和可见光范围内的不同位置产生特征吸收峰的原理,只需要从200-750nm的范围内提取到特定波长处的吸光度值,然后把吸光度值代入建立好的对应模型中即可得到相应的难降解有机物浓度;该方法流程简单,且检测间隔短,可以实现高频的在线监测;基于该浓度监测方法建立的臭氧智能投加控制系统,能够根据测得的难降解有机物浓度决定臭氧投加量,进而控制臭氧曝气系统进行臭氧投加;该系统大大的节省了臭氧的投加量,为污水处理厂节约了运行成本;该发明装置应用了紫外-可见光分光光谱法的原理,在传统的分光光度计上做了升级改造,使其能够应用于实际工程中的原位监测;在水环境中,许多备受关注的水质指标,如化学需氧量、硝酸盐氮、亚硝酸盐氮、浊度等都会在紫外和可见光范围内产生吸收峰,这也就意味着可以使用该装置实现多个水质指标的在线监测;First, the present invention provides a method and system for online monitoring of refractory organic matter concentration and controlling ozone dosing to degrade refractory organic matter; The principle of the characteristic absorption peak only needs to extract the absorbance value at a specific wavelength from the range of 200-750nm, and then substitute the absorbance value into the established corresponding model to obtain the corresponding concentration of refractory organic matter; the process of this method is simple, And the detection interval is short, and high-frequency online monitoring can be realized; the ozone intelligent dosing control system established based on this concentration monitoring method can determine the amount of ozone dosing according to the measured concentration of refractory organic matter, and then control the ozone aeration system to achieve ozone Dosing; the system greatly saves the dosage of ozone, and saves the operating cost for the sewage treatment plant; the inventive device applies the principle of ultraviolet-visible light spectrometry, and upgrades the traditional spectrophotometer. It can be applied to in-situ monitoring in actual engineering; in the water environment, many water quality indicators that have attracted much attention, such as chemical oxygen demand, nitrate nitrogen, nitrite nitrogen, turbidity, etc., will be in the range of ultraviolet and visible light Absorption peaks are generated inside, which means that the device can be used to realize online monitoring of multiple water quality indicators;

本发明通过测量标准溶液来建立难降解有机物预测模型,依靠紫外-可见光全波长扫描仪的高频率测量特性,最终实现水环境中难降解有机物浓度的实时监测;The present invention establishes a prediction model of refractory organic matter by measuring standard solutions, and finally realizes the real-time monitoring of the concentration of refractory organic matter in the water environment by relying on the high-frequency measurement characteristics of the ultraviolet-visible light full-wavelength scanner;

第二、本发明对于某些种类难降解有机物的检出限可以达到微克级,并且通过改变光程可以使得检出限进一步降低,且不仅可以对含单一难降解有机物的水体进行检测,还可以对含有多种难降解有机物的水体进行检测;Second, the detection limit of the present invention can reach the microgram level for certain types of refractory organic substances, and the detection limit can be further reduced by changing the optical path, and not only can detect water bodies containing a single refractory organic substance, but also Detect water bodies containing a variety of refractory organic compounds;

第三、本发明使用LED光源作为紫外光和可将光的发射光源,相比传统的钨灯和氘灯光源,LED光源能够产生更强的光能;本发明将检测窗口设计为可震动式元件,通过震动效果对检测窗口进行清洁,相比传统的空气清洁喷嘴有更好的清洁效果;本发明的有效光程可以自由调节,使得该装置拥有更高的灵敏度和更低的检出限;本发明的检测间隔最低可至1分钟,能够实时监测水环境中某些指标的动态变化,为水环境的治理提供指导;本发明的扫描范围为200-750nm,在此范围内可同时检测多种水质指标,能够有效减少传统水质监测仪表的使用。Third, the present invention uses the LED light source as the emission light source of ultraviolet light and light, compared with the traditional tungsten lamp and deuterium light source, the LED light source can produce stronger light energy; the present invention designs the detection window as a vibrating The component cleans the detection window through the vibration effect, which has a better cleaning effect than the traditional air cleaning nozzle; the effective optical path of the present invention can be adjusted freely, so that the device has higher sensitivity and lower detection limit The detection interval of the present invention can be as low as 1 minute, which can monitor the dynamic changes of some indicators in the water environment in real time, and provide guidance for the governance of the water environment; the scanning range of the present invention is 200-750nm, and can detect simultaneously within this range A variety of water quality indicators can effectively reduce the use of traditional water quality monitoring instruments.

附图说明Description of drawings

图1为本发明实时监测水环境中难降解有机物浓度装置示意图;Fig. 1 is the schematic diagram of the device for real-time monitoring of the concentration of refractory organic matter in the water environment of the present invention;

图2为本发明的方法测量不同浓度难降解有机物(四环素)的紫外-可见光光谱图;Fig. 2 is that the method of the present invention measures the UV-Vis spectrogram of different concentrations of refractory organic matter (tetracycline);

图3为本发明的方法获得的难降解有机物(四环素)标准曲线;Fig. 3 is the refractory organic matter (tetracycline) standard curve that method of the present invention obtains;

图4为难降解有机物(氯霉素)进行分区偏最小二乘分析图;Fig. 4 carries out partition partial least square analysis figure for refractory organic matter (chloramphenicol);

图5为在245-265nm波段对氯霉素浓度进行偏最小二乘建模结果图;Fig. 5 is carried out partial least squares modeling result figure to chloramphenicol concentration in 245-265nm band;

图6为臭氧智能投加系统图。Figure 6 is a diagram of the ozone intelligent dosing system.

图中:In the picture:

LED光源发射元件1,光分离装置2,光路发射窗口3,光路接收窗口4,测量光束5,清洁喷嘴6,参比光束7,光信号转换电信号元件8,信号收集元件9,电信号阵列探测器10,信号传输线路11,集成化服务器12,电脑13。LED light source emitting element 1, optical separation device 2, optical path emitting window 3, optical path receiving window 4, measuring beam 5, cleaning nozzle 6, reference beam 7, optical signal conversion electrical signal element 8, signal collecting element 9, electrical signal array Detector 10, signal transmission line 11, integrated server 12, computer 13.

臭氧发生器901,钛曝气头902,反应器903,紫外-可见光全波长扫描仪904,流通池905,水泵906,控制系统907。Ozone generator 901, titanium aeration head 902, reactor 903, ultraviolet-visible light full-wavelength scanner 904, flow cell 905, water pump 906, control system 907.

具体实施方式Detailed ways

为便于本领域的技术人员理解本发明,下面结合附图说明本发明的具体实施方式。In order to make it easier for those skilled in the art to understand the present invention, the specific implementation manners of the present invention will be described below with reference to the accompanying drawings.

实施例1Example 1

本发明提供了一种用于实现上述的难降解有机物浓度实时监测方法的装置,如图1所示,包括紫外-可见光全波长扫描仪,所述紫外-可见光全波长扫描仪包括LED光源发射元件1,光分离装置2,光路发射窗口3,光路接收窗口4,测量光束5,清洁喷嘴6,参比光束7,光信号转换电信号元件8,信号收集元件9,电信号阵列探测器10。还包括信号传输线路11,集成化服务器12和电脑13。其中:LED光源发射原件1能够产生足够高强度的紫外光和可见光,使得设备能够更好的将光线穿过待测液体;产生的复合光在光分离装置2处被分解出所需波长的单色光,该设备的扫描间隔为1nm,即每隔1nm对样品进行取值。进而光束通过光路发射窗口3穿过待测液体后进入光路接收窗口4。光路接收窗口4设计为可滑动元件,通过滑动光路接收窗口4的位置,达到改变光程长度的目的,进而使设备具有更低的检出限。并且在光路发射窗口3和光路接收窗口4安装了震动线性马达,配合空气清洁喷嘴6,以此达到对测量窗口的有效清洁,保证测量的准确性。光束在光信号转换电信号元件8处被转换为相应的电信号,最终信号收集元件9和电信号阵列探测器10将信号通过信号传输线路11传输至集成化服务器12,在集成化服务器12中可以实现数据的可视化和数据的存储。The present invention provides a device for realizing the above-mentioned real-time monitoring method for the concentration of refractory organic matter, as shown in Figure 1, comprising a UV-visible full-wavelength scanner, which includes an LED light source emitting element 1. Optical separation device 2, optical path emission window 3, optical path receiving window 4, measuring beam 5, cleaning nozzle 6, reference beam 7, optical signal conversion electrical signal element 8, signal collection element 9, electrical signal array detector 10. It also includes a signal transmission line 11, an integrated server 12 and a computer 13. Among them: the LED light source emitting element 1 can generate sufficiently high-intensity ultraviolet light and visible light, so that the equipment can better pass the light through the liquid to be tested; For color light, the scanning interval of the device is 1nm, that is, the value of the sample is taken every 1nm. Furthermore, the light beam passes through the liquid to be measured through the optical path emission window 3 and then enters the optical path receiving window 4 . The optical path receiving window 4 is designed as a slidable element. By sliding the position of the optical path receiving window 4, the purpose of changing the length of the optical path is achieved, thereby enabling the device to have a lower detection limit. In addition, a vibrating linear motor is installed on the optical path emission window 3 and the optical path receiving window 4, and cooperates with the air cleaning nozzle 6 to achieve effective cleaning of the measurement window and ensure the accuracy of measurement. The light beam is converted into a corresponding electrical signal at the optical signal conversion electrical signal element 8, and finally the signal collection element 9 and the electrical signal array detector 10 transmit the signal to the integrated server 12 through the signal transmission line 11, in the integrated server 12 Data visualization and data storage can be realized.

在设备投入使用前,需要将测量窗口以及表面完全清洁,并置于超纯水中,对设备进行参比校正。Before the equipment is put into use, the measurement window and the surface need to be completely cleaned and placed in ultrapure water for reference calibration of the equipment.

测量最短间隔为1min,检测窗口可在0.5-50mm范围内自由调节,扫描间隔为1nm。最终信号数据可以CSV文件格式在PC端打开,呈现形式为每隔1nm记录一次吸光度数据。在复杂水环境中使用该设备时,需在设备周围安装防护网,防止大型污染物(如絮状物等)堵塞测量窗口。The shortest measurement interval is 1min, the detection window can be adjusted freely within the range of 0.5-50mm, and the scanning interval is 1nm. The final signal data can be opened on the PC in CSV file format, and the presentation form is to record the absorbance data every 1nm. When using the device in a complex water environment, it is necessary to install a protective net around the device to prevent large pollutants (such as flocs, etc.) from blocking the measurement window.

紫外-可见光全波长扫描仪,所述紫外-可见光全波长扫描仪包括置于待测水环境中的多参数监测探头和集成化服务器。An ultraviolet-visible light full-wavelength scanner, the ultraviolet-visible light full-wavelength scanner includes a multi-parameter monitoring probe and an integrated server placed in the water environment to be tested.

难降解有机物浓度预测模型,所述难降解有机物数据预测模型接收来自监测探头传输至服务器的数据,将数据输入模型中得出待测水体的难降解有机物浓度。The refractory organic matter concentration prediction model, the refractory organic matter data prediction model receives the data transmitted from the monitoring probe to the server, and inputs the data into the model to obtain the refractory organic matter concentration of the water body to be measured.

臭氧智能投加系统,所述臭氧智能投加系统通过难降解有机物对应臭氧投加量建立公式,根据污水中难降解有机物实时监测的浓度来决定臭氧投加量,实现智能投加。Ozone intelligent dosing system. The ozone intelligent dosing system establishes a formula through the corresponding ozone dosage of refractory organic matter, and determines the ozone dosage according to the real-time monitoring concentration of refractory organic matter in sewage to realize intelligent dosing.

实施例2Example 2

本实施例提供一种污水中难降解有机物实时监测控制方法,该方法是包括如下步骤:This embodiment provides a method for real-time monitoring and control of refractory organic matter in sewage, the method comprising the following steps:

1)制作一个不透光PVC管,以此作为待测液体的容器,减少外界光照对测量的影响。1) Make an opaque PVC pipe as a container for the liquid to be tested to reduce the influence of external light on the measurement.

2)进行测量之前,对紫外-可见光全波长扫描仪表面进行清洗,方法为使用超纯水多次冲洗。对测量窗口5进行清洗,方法为使用酒精润洗并使用柔软物品擦拭,最后使用超纯水多次冲洗。2) Before the measurement, the surface of the UV-Vis full-wavelength scanner is cleaned by rinsing with ultrapure water several times. Clean the measurement window 5 by rinsing with alcohol and wiping it with a soft object, and finally rinse it with ultrapure water several times.

3)记录难降解有机物的相对分子质量,并计算单位质量浓度对应的化学需氧量(COD)值。并根据水环境中难降解有机物浓度的实际水平,制定了0-30mg/L COD的浓度范围。3) Record the relative molecular mass of the refractory organic matter, and calculate the chemical oxygen demand (COD) value corresponding to the unit mass concentration. And according to the actual level of the concentration of refractory organic matter in the water environment, the concentration range of 0-30mg/L COD has been formulated.

4)使用天平称量一定量优选级难降解有机物,使其在烧杯中溶解,转移至容量瓶进行定容,以此方法配制不同浓度的难降解有机物溶液。4) Use a balance to weigh a certain amount of preferred refractory organic matter, dissolve it in a beaker, transfer it to a volumetric flask for constant volume, and prepare refractory organic matter solutions with different concentrations in this way.

5)将配制好的难降解有机物溶液转移至PVC管中,放入紫外-可见光全波长扫描仪,将其扫描该难降解有机物溶液5次的数据在PC端进行求平均值操作,以此减少测量误差。5) Transfer the prepared refractory organic solution to a PVC tube, put it into an ultraviolet-visible light full-wavelength scanner, and perform an average operation on the PC side for the data of scanning the refractory organic solution 5 times, so as to reduce Measurement error.

6)以步骤5对配制好的难降解有机物溶液进行依次测量,并将数据上传至PC端,进行后续的数据处理。6) Measure the prepared refractory organic solution sequentially in step 5, and upload the data to the PC for subsequent data processing.

7)分析同一种难降解有机物在不同浓度下的特征吸收峰位置以及吸光度的变化,根据在特征吸收波长处因浓度不同而导致的吸光度变化,构建难降解有机物浓度预测模型,以此实现对难降解有机物浓度的实时监测。7) Analyze the position of the characteristic absorption peak and the change of absorbance of the same refractory organic substance at different concentrations, and build a concentration prediction model for refractory organic substances according to the change of absorbance at the characteristic absorption wavelength due to different concentrations, so as to realize the detection of refractory organic substances. Real-time monitoring of the concentration of degraded organic matter.

不透光PVC管注水1L,即可满足紫外-可见光全波长扫描仪的测量需求。Filling 1L of water into the opaque PVC pipe can meet the measurement requirements of the UV-Vis full-wavelength scanner.

紫外-可见光全波长扫描仪的扫描波段范围是200-735nm,扫描间隔为1nm,测量最短间隔为1min,可任意调节测量间隔。The scanning range of the UV-Vis full-wavelength scanner is 200-735nm, the scanning interval is 1nm, the shortest measurement interval is 1min, and the measurement interval can be adjusted arbitrarily.

当对只有一处产生特征吸收峰的难降解有机物,采用以下模型进行建模:For refractory organic substances with only one characteristic absorption peak, the following model is used for modeling:

y1=a*x+by 1 =a*x+b

式中:In the formula:

y1为待测难降解有机物的对应COD浓度,单位为mg/L; y1 is the corresponding COD concentration of the refractory organic matter to be tested, in mg/L;

a为所建立模型的斜率;a is the slope of the established model;

x为待测难降解有机物在特征吸收波长处的吸光度值,单位为Abs;x is the absorbance value of the refractory organic substance to be measured at the characteristic absorption wavelength, the unit is Abs;

b为所建立模型的残差值。b is the residual value of the established model.

当对有两处及以上特征吸收峰的难降解有机物,采用以下模型进行建模(公式以含有三处特征吸收峰为例):For refractory organic substances with two or more characteristic absorption peaks, the following model is used for modeling (the formula contains three characteristic absorption peaks as an example):

y2=a1*x1+b1*x2+c1*x3+dy 2 =a 1 *x 1 +b 1 *x 2 +c 1 *x 3 +d

式中:In the formula:

y2为待测难降解有机物的对应COD浓度,单位为mg/L; y2 is the corresponding COD concentration of the refractory organic matter to be tested, in mg/L;

a1、b1、c1为方程的拟合参数;a 1 , b 1 , c 1 are the fitting parameters of the equation;

x1、x2、x3为待测难降解有机物在产生特征吸收峰波长处的吸光度值,单位为Abs;x 1 , x 2 , x 3 are the absorbance values of the refractory organic matter to be measured at the wavelength of the characteristic absorption peak, and the unit is Abs;

d为所建立模型的残差值。d is the residual value of the established model.

本实施例对四种难降解有机物进行拟合,四种难降解有机物分别对应不同数量和波长处的特征吸收峰,拟合结果如表1所示:In this example, four kinds of refractory organic substances are fitted. The four kinds of refractory organic substances correspond to characteristic absorption peaks at different quantities and wavelengths. The fitting results are shown in Table 1:

表1四种难降解有机物拟合结果Table 1 Fitting results of four kinds of refractory organic compounds

该方法还对溶液中同时存在多种难降解有机物的情况进行了扩充。首先将多种难降解有机物以不同浓度进行混合,配置多组待测样品。将各待测样本逐一测量5次取平均值,并将数据转移至PC端。The method is also extended to the case where multiple refractory organics are present in the solution at the same time. First, a variety of refractory organic compounds are mixed at different concentrations to configure multiple groups of samples to be tested. Each sample to be tested was measured 5 times one by one to take the average value, and the data was transferred to the PC terminal.

进对样品中不同的难降解有机物进行建模预测时,需要采用不同的预处理方法(如SG平滑、一阶导数、乘性散射校正等),以此达到最好的预测效果。选择预处理方法的手段为将数据经过多种预处理方法后进行偏最小二乘回归的建模,综合对比隐变量数、R2、预测误差均方根,最终选择预测性能最好的预处理方法。When modeling and predicting different refractory organic compounds in samples, different preprocessing methods (such as SG smoothing, first derivative, multiplicative scattering correction, etc.) are required to achieve the best prediction effect. The means of selecting the preprocessing method is to carry out partial least squares regression modeling on the data after various preprocessing methods, comprehensively compare the number of hidden variables, R 2 , and the root mean square of the prediction error, and finally select the preprocessing with the best prediction performance method.

对不同难降解有机物进行浓度预测时,首先对数据进行最适合该难降解有机物的最佳预处理方法,然后在MATLAB2018b中使用iToolbox工具箱中的分区偏最小二乘法,选择出预测均方根误差最小的区间,以此区间进行偏最小二乘回归能够实现在混合样品中对待测难降解有机物浓度的有效预测。When predicting the concentration of different refractory organic substances, firstly, the best preprocessing method for the refractory organic substances is performed on the data, and then the partitioned partial least square method in the iToolbox toolbox is used in MATLAB2018b to select the predicted root mean square error The smallest interval, partial least squares regression in this interval can realize the effective prediction of the concentration of refractory organic substances to be measured in mixed samples.

实施例3Example 3

本实施例提供了一种用于降解污水中难降解有机物的臭氧智能投加系统,包括以下步骤:This embodiment provides an ozone intelligent dosing system for degrading refractory organic matter in sewage, comprising the following steps:

1)以圆柱形反应器903为臭氧与水样的反应器,取污水处理厂二沉池出水为实验用水,该反应器采用底部安装钛曝气头902进行臭氧投加。1) The cylindrical reactor 903 is used as the reactor for ozone and water samples, and the effluent from the secondary sedimentation tank of the sewage treatment plant is used as the experimental water. The reactor adopts a titanium aeration head 902 installed at the bottom for ozone dosing.

2)加入一定量的水样至流通池905,放入紫外-可见光全波长扫描仪904,通过水泵906使得水样在流通池和反应器中流通,并对难降解有机物浓度进行实时监测。2) Add a certain amount of water sample to the flow cell 905, put it into the ultraviolet-visible light full-wavelength scanner 904, use the water pump 906 to make the water sample circulate in the flow cell and the reactor, and monitor the concentration of refractory organic matter in real time.

3)使用臭氧发生器901产生臭氧,并连接曝气头,开启臭氧发生器并用流量计对臭氧的投加量进行控制。3) Use the ozone generator 901 to generate ozone, connect the aeration head, turn on the ozone generator and use a flow meter to control the dosage of ozone.

4)紫外-可见光全波长扫描仪的数据传输至控制系统907,根据记录的数据建立以下臭氧投加控制公式:4) The data of the ultraviolet-visible light full-wavelength scanner is transmitted to the control system 907, and the following ozone dosing control formula is established according to the recorded data:

y3=n*Q*βy 3 =n*Q*β

式中:In the formula:

y3为臭氧的投加量,单位为mg/s。y 3 is the dosage of ozone, the unit is mg/s.

n为水样中待降解有机物的浓度,单位为mg/L。n is the concentration of organic matter to be degraded in the water sample, in mg/L.

Q为进水流量,单位为L/s。Q is the water flow rate, the unit is L/s.

β为根据实验数据所得的相关系数。β is the correlation coefficient obtained from the experimental data.

5)通过建立的公式,实时控制臭氧发生器所产生的臭氧量,实现臭氧的智能投加。5) Through the established formula, the amount of ozone generated by the ozone generator is controlled in real time to realize the intelligent dosing of ozone.

公式中的相关系数β取值变化较大,主要取决于不同种类的难降解有机物所需的臭氧量变化。The value of the correlation coefficient β in the formula varies greatly, mainly depending on the change in the amount of ozone required for different types of refractory organic matter.

实施例4Example 4

本实施例提供了一种利用上述装置实时监测水环境中难降解有机物浓度的方法,该方法具体包括以下步骤:This embodiment provides a method for real-time monitoring of the concentration of refractory organic matter in the water environment using the above-mentioned device, the method specifically includes the following steps:

1)配置0-30mg/LCOD浓度梯度的难降解有机物标准溶液(以单位质量浓度难降解有机物对应COD浓度计),依次使用紫外-可见光全波长扫描仪进行测量。1) Configure a standard solution of refractory organic matter with a concentration gradient of 0-30mg/LCOD (corresponding to COD concentration per unit mass concentration of refractory organic matter), and use an ultraviolet-visible light full-wavelength scanner to measure in sequence.

2)将测量数据导入至电脑13,绘制难降解有机物在不同浓度下的紫外-可见光吸收光谱图,找到其存在的特征吸收峰所在波长(见图2)。2) Import the measurement data into the computer 13, draw the ultraviolet-visible light absorption spectrum diagrams of the refractory organics at different concentrations, and find the wavelengths of the characteristic absorption peaks (see Figure 2).

3)将在该波长下不同浓度时的吸光度值进行方程的拟合(见图3),并计算拟合优度,确定模型是否具备可行性,并计算该方法对难降解有机物的最低检出限。3) Fit the absorbance values at different concentrations at this wavelength to the equation (see Figure 3), and calculate the goodness of fit to determine whether the model is feasible, and calculate the minimum detection of refractory organic substances by this method limit.

4)将待测液体在特定波长下的吸光度代入模型,得出难降解有机物浓度。4) Substitute the absorbance of the liquid to be measured at a specific wavelength into the model to obtain the concentration of refractory organic matter.

本发明对四环素、氧氟沙星、氯霉素、链霉素进行了检出限的测量,结果如表2所示:The present invention has carried out the measurement of detection limit to tetracycline, ofloxacin, chloramphenicol, streptomycin, and the results are as shown in table 2:

表2四种难降解有机物的装置检出限计算参数Table 2 Calculation parameters of device detection limits for four kinds of refractory organic substances

实施例5:Example 5:

本实施例对同时含有氧氟沙星、四环素、氯霉素的水体进行难降解有机物浓度的实时监测,步骤如下:In this embodiment, the water body containing ofloxacin, tetracycline, and chloramphenicol is carried out real-time monitoring of the concentration of refractory organic matter, and the steps are as follows:

1)配置三种难降解有机物以随机浓度自由组合的70个样品,使用紫外-可见光全波长扫描仪对所有样品进行200-420nm波段的扫描,并将最终70个样品的数据传输至电脑。1) Configure 70 samples of three refractory organic compounds freely combined at random concentrations, scan all samples in the 200-420nm band with an ultraviolet-visible light full-wavelength scanner, and transfer the data of the final 70 samples to the computer.

2)选择最优的预处理方法。对70个样本分别进行SG平滑、移动平均法、一阶导数和二阶导数的预处理,然后分别以每种难降解有机物的浓度为因变量,以包括未经预处理的原始数据在内的五组样品数据为自变量,进行偏最小二乘回归的建模。以模型的潜在变量数目(LVs)、预测误差均方根(RMSEP)、拟合优度(R2)为评价指标,综合评判对每种难降解有机物浓度预测最有帮助的预处理方法。结果见表3。2) Select the optimal preprocessing method. The 70 samples were preprocessed by SG smoothing, moving average method, first derivative and second derivative respectively, and then the concentration of each refractory organic compound was used as the dependent variable, and the original data including the unpreprocessed The five groups of sample data are used as independent variables, and the modeling of partial least squares regression is carried out. The number of latent variables (LVs), root mean square of prediction error (RMSEP), and goodness of fit (R2) of the model were used as evaluation indicators to comprehensively evaluate the most helpful pretreatment method for the prediction of the concentration of each refractory organic compound. The results are shown in Table 3.

3)在经过每种难降解有机物最佳的预处理后,将200-420nm波段分为10个小段,并进行分区偏最小二乘,得出每种难降解有机物在何波段范围内的预测均方根误差最小。在此波段建立模型即可有效预测难降解有机物浓度。3) After the optimal pretreatment of each refractory organic compound, the 200-420nm wave band is divided into 10 sub-sections, and partitioned partial least squares are performed to obtain the prediction average value of each refractory organic compound in which wave band range. The square root error is the smallest. Establishing a model in this band can effectively predict the concentration of refractory organic matter.

结果展示以氯霉素为例,氯霉素的最佳预处理方法为移动平均法。在经过预处理后,对数据进行分区偏最小二乘分析,得出氯霉素的预测均方根误差在245-267.5nm范围内达到最小值(见图4),并对此区域以偏最小二乘法建模,得到良好的拟合效果(见图5),证明方法准确可行。The results show that taking chloramphenicol as an example, the best pretreatment method for chloramphenicol is the moving average method. After preprocessing, the partitioned partial least squares analysis was carried out on the data, and the predicted root mean square error of chloramphenicol reached the minimum value in the range of 245-267.5nm (see Figure 4), and the partial minimum in this area The quadratic method is used for modeling, and a good fitting effect is obtained (see Figure 5), which proves that the method is accurate and feasible.

表3不同种类难降解有机物预处理方法对比Table 3 Comparison of pretreatment methods for different types of refractory organic matter

以上的本发明实施方式,并不构成对本发明保护范围的限定。任何在本发明的精神和原则之内所作的修改、等同替换和改进等,均应包含在本发明的权利要求保护范围之内。The above embodiments of the present invention are not intended to limit the protection scope of the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.

Claims (3)

1.污水中难降解有机物实时监测及臭氧智能投加控制方法,其特征在于,其包括:1. A method for real-time monitoring of refractory organic matter in sewage and intelligent ozone dosing control method, characterized in that it includes: 建立难降解有机物的吸光度与对应化学需氧量(COD)浓度关系模型的步骤S1;Step S1 of establishing a relationship model between the absorbance of the refractory organic matter and the corresponding chemical oxygen demand (COD) concentration; 利用光谱扫描机构实时获取难降解有机物在紫外-可见光光谱范围内的吸光度、并利用步骤S1的模型实时监测相应的难降解有机物浓度的步骤S2;Step S2 of obtaining the absorbance of the refractory organic matter in the ultraviolet-visible spectral range in real time by using the spectral scanning mechanism, and monitoring the corresponding concentration of the refractory organic matter in real time using the model of step S1; 根据步骤S2中获得的难降解有机物实时监测的浓度来计算臭氧投加量,建立臭氧智能投加系统的步骤S3;Calculate the ozone dosage according to the real-time monitoring concentration of the refractory organic matter obtained in step S2, and establish the step S3 of the ozone intelligent dosage system; 步骤S1的具体过程包括:The specific process of step S1 includes: 步骤一、配置具有浓度梯度的难降解有机物标准溶液,依次使用光谱扫描机构测量其在紫外-可见光光谱范围内的吸光度;Step 1. Configure a standard solution of refractory organic substances with a concentration gradient, and sequentially use a spectral scanning mechanism to measure its absorbance in the ultraviolet-visible spectral range; 步骤二、绘制难降解有机物在不同浓度下的紫外-可见光吸收光谱图,找到其存在的特征吸收峰所在波长,所述吸收峰可能存在一处或多处;Step 2, draw the ultraviolet-visible light absorption spectrum diagram of the refractory organic substance at different concentrations, find the wavelength of the characteristic absorption peak, and the absorption peak may exist in one or more places; 步骤三、将特征吸收峰所在波长下不同浓度时的吸光度值进行方程的拟合,建立难降解有机物的吸光度与对应COD浓度关系模型;Step 3. Fitting the absorbance values at different concentrations at the wavelength of the characteristic absorption peak to the equation, and establishing a relationship model between the absorbance of the refractory organic matter and the corresponding COD concentration; 步骤S2中,光谱扫描机构包括紫外-可见光全波长扫描仪、不透光PVC管、信号传输线路、集成化服务器和电脑;所述紫外-可见光全波长扫描仪包括LED光源发射元件,光分离装置,光路发射窗口,光路接收窗口,测量光束,清洁喷嘴,参比光束,光信号转换电信号元件,信号收集元件,电信号阵列探测器;其中:LED光源发射元件用于产生高强度的能够穿过待测液体的紫外光和可见光;LED光源发射元件产生的复合光在光分离装置处被分解出所需波长的单色光;单色光通过光路发射窗口穿过待测液体后进入光路接收窗口;光路接收窗口设计为可滑动元件,用于改变光程长度;在光路发射窗口和光路接收窗口安装了震动线性马达和空气清洁喷嘴,用于对测量窗口的有效清洁;光束在光信号转换电信号元件处被转换为相应的电信号,最终信号收集元件和电信号阵列探测器将信号通过信号传输线路传输至集成化服务器,集成化服务器用于实现数据的可视化和数据的存储;In step S2, the spectrum scanning mechanism includes an ultraviolet-visible light full-wavelength scanner, an opaque PVC pipe, a signal transmission line, an integrated server, and a computer; the ultraviolet-visible light full-wavelength scanner includes an LED light source emitting element, and a light separation device , optical path emission window, optical path receiving window, measuring beam, cleaning nozzle, reference beam, optical signal conversion electrical signal element, signal collection element, electrical signal array detector; among them: LED light source emitting element is used to generate high-intensity penetrable The ultraviolet light and visible light of the liquid to be tested; the composite light generated by the LED light source emitting element is decomposed into the monochromatic light of the required wavelength at the light separation device; the monochromatic light passes through the liquid to be tested through the optical path emission window and enters the optical path to receive Window; the optical path receiving window is designed as a slidable element for changing the length of the optical path; a vibrating linear motor and an air cleaning nozzle are installed on the optical path emitting window and the optical path receiving window for effective cleaning of the measurement window; The electrical signal element is converted into a corresponding electrical signal, and finally the signal collection element and the electrical signal array detector transmit the signal to the integrated server through the signal transmission line, and the integrated server is used to realize data visualization and data storage; 步骤一的具体过程包括:The specific process of step one includes: P1:记录难降解有机物的相对分子质量,并计算单位质量浓度对应的COD值;P1: Record the relative molecular mass of refractory organic matter, and calculate the COD value corresponding to the unit mass concentration; P2:使用天平称量一定量优选级难降解有机物,使其在烧杯中溶解,转移至容量瓶进行定容,选定0-30mg/L COD的浓度范围,按梯度配制不同浓度的难降解有机物标准溶液;P2: Use a balance to weigh a certain amount of preferred refractory organic matter, dissolve it in a beaker, transfer it to a volumetric flask for constant volume, select a concentration range of 0-30mg/L COD, and prepare different concentrations of refractory organic matter according to the gradient standard solution; P3:用不透光PVC管作为待测液体的容器,将配制好的难降解有机物溶液转移至PVC管中,放入紫外-可见光全波长扫描仪,进行数据采集;P3: Use an opaque PVC tube as the container of the liquid to be tested, transfer the prepared refractory organic solution into the PVC tube, and put it into a UV-visible light full-wavelength scanner for data collection; 紫外-可见光全波长扫描仪的扫描波段范围是200-735nm,扫描间隔为1nm,测量最短间隔为1min。The scanning range of the ultraviolet-visible light full-wavelength scanner is 200-735nm, the scanning interval is 1nm, and the shortest measurement interval is 1min. 2.根据权利要求1所述的污水中难降解有机物实时监测及臭氧智能投加控制方法,其特征在于:对于只有一处产生特征吸收峰的难降解有机物,采用以下模型进行拟合:2. The method for real-time monitoring of refractory organic matter in sewage according to claim 1 and intelligent ozone dosing control method, characterized in that: for only one refractory organic matter that produces a characteristic absorption peak, the following model is used for fitting: y1=a*x+by 1 =a*x+b 式中:In the formula: y1为待测难降解有机物的对应COD浓度,单位为mg/L; y1 is the corresponding COD concentration of the refractory organic matter to be tested, in mg/L; a为所建立模型的斜率;a is the slope of the established model; x为待测难降解有机物在特征吸收波长处的吸光度值;x is the absorbance value of the refractory organic substance to be measured at the characteristic absorption wavelength; b为所建立模型的残差值;b is the residual value of the established model; 对有两处及以上特征吸收峰的难降解有机物,采用以下模型进行拟合,公式以含有三处特征吸收峰为例:For refractory organic substances with two or more characteristic absorption peaks, the following model is used for fitting. The formula takes three characteristic absorption peaks as an example: y2=a1*x1+b1*x2+c1*x3+dy 2 =a 1 *x 1 +b 1 *x 2 +c 1 *x 3 +d 式中:In the formula: y2为待测难降解有机物的对应COD浓度,单位为mg/L; y2 is the corresponding COD concentration of the refractory organic matter to be tested, in mg/L; a1、b1、c1为方程的拟合参数;a 1 , b 1 , c 1 are the fitting parameters of the equation; x1、x2、x3为待测难降解有机物在产生特征吸收峰波长处的吸光度值;x 1 , x 2 , and x 3 are the absorbance values of the refractory organic matter to be measured at the wavelength at which the characteristic absorption peak occurs; d为所建立模型的残差值。d is the residual value of the established model. 3.根据权利要求1所述的污水中难降解有机物实时监测及臭氧智能投加控制方法,其特征在于:步骤S3的具体过程包括:3. The method for real-time monitoring of refractory organic matter in sewage and smart ozone dosing control method according to claim 1, characterized in that: the specific process of step S3 comprises: 步骤1:以圆柱形反应器为臭氧与水样的反应器,取污水处理厂二沉池出水为实验用水,该反应器采用底部安装钛曝气头进行臭氧投加;Step 1: Use a cylindrical reactor as the reactor for ozone and water samples, and take the effluent from the secondary sedimentation tank of the sewage treatment plant as the experimental water. The reactor uses a titanium aeration head installed at the bottom for ozone dosing; 步骤2:加入一定量的水样至流通池,放入紫外-可见光全波长扫描仪,通过水泵使得水样在流通池和反应器中流通,并对难降解有机物浓度进行实时监测;Step 2: Add a certain amount of water sample to the flow cell, put it into the UV-Vis full-wavelength scanner, use the water pump to make the water sample circulate in the flow cell and the reactor, and monitor the concentration of refractory organic matter in real time; 步骤3:使用臭氧发生器产生臭氧,并连接曝气头;Step 3: Use an ozone generator to generate ozone and connect the aeration head; 步骤4:紫外-可见光全波长扫描仪的数据传输至控制系统,控制系统根据公式一实时计算臭氧投加量并控制臭氧发生器的臭氧投加量,实现智能投加。Step 4: The data of the ultraviolet-visible light full-wavelength scanner is transmitted to the control system. The control system calculates the ozone dosage in real time according to formula 1 and controls the ozone dosage of the ozone generator to realize intelligent dosage.
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