65 results about "Biochemical oxygen demand" patented technology

The invention relates to the technical field of sewage treatment, in particular to a dynamic control method applied to a culture tail water circulation treatment system. The method comprises the following steps: continuously detecting aquaculture tail water on a water inlet pipeline, calculating the ratio of chemical oxygen demand to five-day biochemical oxygen demand as a first degradation index, and calculating the ratio of ultraviolet absorbance to total organic carbon concentration as a second degradation index; according to the first degradation index and the second degradation index, identifying aging complementary and range complementary organic load degradation characteristics, and determining a process treatment path based on the organic load degradation characteristics; performing primary pretreatment on the aquaculture tail water in different process treatment paths to obtain intermediate water quality data; detecting the ammonia nitrogen concentration of the intermediate water quality data, and extracting the time change rate of the ammonia nitrogen concentration as an ammonia nitrogen conversion parameter. According to the invention, the oxygen utilization efficiency and the removal rate of organic matters and nitrogen are improved through regional dissolved oxygen and function configuration optimization.

The invention discloses laboratory centralized full-automatic analysis five-day biochemical oxygen demand monitoring equipment, which relates to the technical field of five-day biochemical oxygen demand monitoring equipment, and comprises a laboratory centralized full-automatic analysis system, a sample temporary storage incubator, an incubator, a sample transport vehicle and a pretreatment system, the pretreatment system is arranged at the side part of the laboratory centralized full-automatic analysis system. According to the laboratory centralized full-automatic analysis five-day biochemical oxygen demand monitoring equipment, the sample temporary storage constant temperature box, the culture box, the sample transport vehicle, the pretreatment system and other structures are arranged, so that the defect of a laboratory centralized full-automatic analysis system in the aspect of five-day biochemical oxygen demand monitoring is overcome, and the overall automation level of a laboratory is improved; tedious consumable preparation of a laboratory is simplified, operation of experimenters can be greatly simplified, personal errors in the experiment process are reduced, and result accuracy is guaranteed.

The invention relates to a sampling analysis method suitable for a composite water source circulating water system. According to the composite water source circulating water system, water from various different sources is mixed and recycled. The sampling analysis method comprises the step of setting sampling points at different positions of the circulating water system, wherein the positions cover a water source inlet, a mixing area, a key equipment inlet and outlet and the like. And the sampling accuracy and representativeness are ensured by adopting specific sampling tools and devices. The collected samples are subjected to multi-parameter analysis, including chemical oxygen demand (COD), biochemical oxygen demand (BOD), suspended solids (SS), hardness, pH value (pH) and other indexes of water quality. By establishing the data analysis model and comprehensively evaluating the quality condition of the circulating water, a scientific basis is provided for operation management, water quality regulation and control and equipment maintenance of the circulating water system, the operation efficiency of the composite water source circulating water system is effectively improved, the treatment cost is reduced, and the service life of equipment is prolonged.

The present invention provides a wastewater treatment system and a wastewater treatment process, belonging to the technical field of wastewater treatment. The wastewater treatment system provided by the present invention uses activated sludge combined with quartz sand and an algal-bacterial symbiont, which can overcome the problems in the prior art that sludge bulking affects the effluent water quality and harms the operation of the biochemical system, and can also improve the wastewater remediation effect. The wastewater treatment process provided by the present invention can significantly reduce the chemical oxygen demand (COD), biochemical oxygen demand (BOD) and suspended solids (SS) in the wastewater to be treated. The removal rate of chemical oxygen demand (COD) can reach 94.87% within 4 h, the removal rate of biochemical oxygen demand (BOD) can reach 96.60%, and the removal rate of suspended solids (SS) can reach 96.58%. The best removal efficiency can be achieved in a relatively short treatment time, which is beneficial to accelerating the wastewater treatment process.

The utility model relates to the technical field of industrial wastewater treatment, and discloses a multi-stage catalytic ozonation industrial wastewater treatment device, which is characterized in that a plurality of treatment cavities are arranged in a shell and comprise a first-stage treatment cavity, a second-stage treatment cavity and a third-stage treatment cavity which are respectively positioned below a partition plate I, a partition plate II and a partition plate III. And each partition plate is provided with an overflow pipe and an ozone generator. The multi-stage treatment cavity can realize stage-by-stage treatment of the wastewater, so that ozone is in full contact with pollutants in the wastewater, and the treatment efficiency and the treatment effect are improved. Ozone generators are mounted in all stages of treatment cavities, so that ozone can be uniformly distributed in each treatment stage, and the oxidation reaction is further enhanced. Besides, the arranged on-line monitoring module can monitor key indexes in the wastewater in real time, such as COD (chemical oxygen demand), BOD (biochemical oxygen demand) and pH value, so that accurate control and optimization of the treatment process are realized.

The invention relates to the technical field of sewage treatment, in particular to a method for rapidly measuring BOD (Biochemical Oxygen Demand) in sewage treatment. According to the method, under the anaerobic condition, facultative anaerobic microorganisms are subjected to denitrification reaction by utilizing organic matters and nitrate nitrogen in a water sample to be detected, in the process, the organic matters are oxidized into carbon dioxide and water by utilizing atomic oxygen in the nitrate nitrogen, and the nitrate nitrogen is reduced into nitrite nitrogen or nitrogen; in the process, the reduction amount of the oxygen element in the reaction system before and after the reaction is the BOD of the water sample to be detected. Compared with traditional BOD5, the method disclosed by the invention is shorter in time consumption and greatly improves the detection efficiency, and meanwhile, compared with an aerobic method during BOD5 measurement, the method disclosed by the invention effectively avoids the oxygen consumption of aerobic proliferation of microorganisms in the process, so that the detection accuracy is improved, and the method is convenient to popularize and use.

The utility model discloses a pharmaceutical wastewater treatment system which comprises a pretreatment module, an A < 2 > O treatment module, a Fenton oxidation module and a recovery module, the Fenton oxidation module and the pretreatment module are both communicated with the A < 2 > O treatment module, and the recovery module is communicated with the Fenton oxidation module; the A2O treatment module comprises a hydrolysis acidification tank, an anaerobic tank, a denitrification tank, an aerobic tank and a sedimentation tank; the Fenton oxidation module comprises a Fenton buffer tank, integrated Fenton equipment and a Fenton clean water tank; the combined treatment process of the pretreatment module, the A2O treatment module and the Fenton oxidation module is lower in cost compared with other processes which are mainstream adopted at present, organic matters in wastewater can be converted into methane, carbon dioxide, water, hydrogen sulfide, ammonia and the like under the action of microorganisms, and an aerobic treatment method is adopted, so that the wastewater treatment efficiency is improved. The BOD (biochemical oxygen demand) removal rate is higher than that of a traditional activated sludge method, the sludge yield is small, the treatment effect is better, residual organic matters in the wastewater can be removed through strong oxidation of the Fenton reaction, and the quality of discharged water is guaranteed.

The invention relates to the technical field of sewage treatment, and discloses an environment-friendly efficient sewage treatment system which comprises a biochemical pool, an air pressure distribution execution unit, a load induction driving module and an aeration control module, the aeration control module obtains a torque pulsation parameter in the output current of the load induction driving module, calculates real-time liquid column static pressure in the biochemical pool by using a response model, and corrects the operation frequency according to the real-time liquid column static pressure so as to maintain a pressure difference interval in which the outlet pressure is higher than the real-time liquid column static pressure; the aeration control module determines the microorganism oxygen consumption rate according to the dissolved oxygen concentration attenuation slope in the operation switching stage, and then the duty ratio of the follow-up aeration pulse period is adjusted, real-time self-adaptive adjustment of the aeration pressure along with liquid level fluctuation is achieved, sewage backflow and invalid oxygen supply risks are effectively avoided, and the aeration efficiency is improved. The accurate adaptation of the aeration rate and the actual biochemical oxygen demand of microorganisms is ensured, and the treatment efficiency and the operation stability of the system are synergistically improved.

The invention discloses a distributed rural sewage septic tank and purification tank coupling treatment system which is characterized in that a feed port of an improved septic tank is connected with a flushing toilet, and a discharge port of the improved septic tank is connected with a feed port of an electrochemical enhanced purification tank; a discharge port of the electrochemical enhanced purification tank is further connected with a kitchen and a bath room, the improved septic tank is connected with the fertilization pipeline system, the electrochemical enhanced purification tank is connected with the watering pipeline system, and ultraviolet disinfection equipment and a three-dimensional electrochemical treatment structure are arranged in the electrochemical enhanced purification tank; the chemical oxygen demand and the biochemical oxygen demand of black water are effectively reduced after the black water is cured in the septic tank for enough time, the black water is mixed with grey water to enter the electrochemical enhanced purification tank and then treated by a biological and electrochemical combined method, and the sewage is disinfected by an electrochemical and ultraviolet disinfection combined mode, so that the effluent reaches the reuse standard.

The invention provides a five-day biochemical oxygen demand sampling bottle, and belongs to the technical field of full-automatic analysis, the five-day biochemical oxygen demand sampling bottle specifically comprises a bottle body and a bottle cap, the bottle body is a dissolved oxygen bottle, a rotor is placed in the bottle body, the rotor is matched with a magnetic stirring device for use, a gas pipeline is nested on the bottle cap, and the upper end of the gas pipeline extends to the outer side of the bottle cap; the lower end of the gas pipeline extends to the bottle bottom, a self-locking pneumatic connector is arranged at the upper end of the gas pipeline, and the tripping end of the self-locking pneumatic connector is an aeration pipeline insertion opening. A honeycomb-shaped gas outlet head is arranged at the lower end of the gas pipeline, a first one-way valve is arranged in the middle of the gas pipeline and points to the inside of the bottle body, a through vent hole is formed in the bottle cap, and a second one-way valve is arranged in the vent hole and points to the outer side of the bottle body. According to the processing scheme, the labor cost is remarkably reduced, the personal error is reduced, and a solid foundation is laid for the accuracy and reliability of the BOD5 analysis result.

The invention discloses a five-day biochemical oxygen demand prediction method and system based on a BP neural network, and the method comprises the steps: obtaining a plurality of water quality data samples including chemical oxygen demand, total phosphorus data and corresponding five-day biochemical oxygen demand, and carrying out the preprocessing of the data samples; constructing a BP neural network adopting a double-model hybrid architecture; training a BP neural network by using the preprocessed data sample; and inputting the chemical oxygen demand and total phosphorus data collected in real time into the trained BP neural network, and outputting a final five-day biochemical oxygen demand predicted value according to a preset concentration division rule and a fusion algorithm. According to the scheme of the invention, real-time monitoring and early warning are realized by constructing the BP neural network model, and the monitoring efficiency is greatly improved. By adopting an innovative double-model hybrid architecture, special prediction is respectively carried out for different high and low concentration intervals, and smoothness and reliability of a prediction result are ensured by utilizing a fusion algorithm, so that the prediction accuracy is remarkably improved.

The invention provides an intelligent effluent biochemical oxygen demand detection method based on a self-adaptive neural network. The method comprises the following steps: S1, determining an input variable and an output variable of an effluent biochemical oxygen demand detection model; s2, carrying out abnormal value elimination processing on the determined auxiliary variable and the output quantity, and carrying out normalization processing on the data after the abnormal value is extracted; s3, training the adaptive memory recursion RBF neural network by using the adaptive memory recursion RBF neural network as a measurement model for effluent biochemical oxygen demand detection, and updating learning parameters of the neural network by using a steepest gradient descent algorithm; and S4, inputting the test sample data into the trained adaptive memory recursion RBF neural network, and outputting a result which is an effluent biochemical oxygen demand detection result. A trainable dynamic mixing time factor is introduced, self-adaptive adjustment of a historical state and current input is realized, and a complex nonlinear relationship between the effluent BOD and an auxiliary variable can be accurately fitted.

The utility model discloses iron-carbon micro-electrolysis sewage treatment equipment which comprises an iron-carbon treatment barrel, a coagulation treatment barrel, a high-power sewage pump, a special treatment agent barrel, a variable-frequency Roots blower and a pipeline group. The iron-carbon micro-electrolysis sewage treatment equipment which is more reasonable, perfect and low in cost is obtained through improvement, the novel catalyst-containing iron-carbon alloy filler used in the iron-carbon micro-electrolysis sewage treatment equipment can greatly improve the pollutant degradation capacity, and the coagulation treatment barrel is provided with a variable-frequency medicine stirring machine which can improve the flowability of a water body in the working process; according to the invention, the generation and hardening conditions of iron sludge are reduced to a certain extent, H2O2 is added as a treatment agent, the Fenton treatment effect can be realized in the micro-electric energy process, meanwhile, residual H2O2 is not generated to influence the subsequent biochemical treatment, the chemical oxygen demand value of the treated water to be discharged can be reduced, the biochemical oxygen demand value is increased, and the treatment effect is improved. The subsequent biochemical treatment is facilitated.

The application provides a method for detecting biochemical oxygen demand in sewage, and belongs to the field of oxygen demand detection. The method comprises the following steps: forming a fluorine-containing organosilicon nano coating on the electrode surface of a dissolved oxygen sensor of a full-automatic BOD5 analyzer to obtain a fluorine-silicon modified dissolved oxygen sensor; pretreating the sewage to be detected in an adsorption column composed of modified activated carbon and porous silica gel to obtain a pretreated water sample; fixing bacillus subtilis on a porous carrier and then putting the carrier into the pretreated water sample to obtain an inoculated water sample; measuring the initial dissolved oxygen of the inoculated water sample and the end-point dissolved oxygen after 5-day culture; and obtaining the five-day biochemical oxygen demand in the sewage according to the initial dissolved oxygen and the end-point dissolved oxygen. Through the four-level collaborative system of "sensor anti-interference optimization, sample purification and enrichment, microbial reaction standardization and accurate signal acquisition", the application systematically eliminates the error sources in the traditional BOD5 detection, and realizes the accurate measurement of the organic matter pollution level in complex sewage.

The application relates to the technical field of sewage treatment, and discloses a sewage treatment process method based on an improved target genetic algorithm optimized LSTM, which is characterized in that the process method comprises the following steps: step S1, sewage treatment data acquisition and pretreatment; step S2, sewage treatment process modeling based on an LSTM; and step S3, multi-target genetic algorithm optimization design. The method comprehensively considers multi-dimensional performance indexes such as reaction time, energy consumption and biogas yield of a sewage treatment system, takes the emission standards of chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen (NH3-N), total nitrogen (TN) and total phosphorus (TP) as constraints, and realizes intelligent and multi-target optimal configuration of sewage treatment process operation parameters.

The utility model provides a five-day biochemical oxygen demand detection device which comprises a sample bottle provided with a bottle opening and a cavity, and the cavity is used for containing a sample needing five-day biochemical oxygen demand detection; the sealing cover is used for covering and sealing the bottle opening; the dissolved oxygen in-situ detection film is positioned in the cavity of the sample bottle, and the dissolved oxygen in-situ detection film is attached to the side wall of the sample bottle. According to the five-day biochemical oxygen demand detection device, the sealing performance of a sample is ensured in the dissolved oxygen concentration detection process, so that the culture efficiency of the sample is improved.

The invention discloses an electric flocculation treatment system for organic wastewater. The electric flocculation treatment system comprises a primary filtering mechanism, an electric flocculation treatment mechanism and a solid-liquid separation mechanism which are communicated in sequence, the primary filtering mechanism comprises a primary filtering tank and a grid filter arranged in the primary filtering tank; the electric flocculation treatment mechanism comprises an electric flocculation treatment tank, a starting partition plate and a tail partition plate are fixed in the electric flocculation treatment tank, and the interior of the electric flocculation treatment tank is sequentially divided into an electric flocculation starting input space, an electric flocculation main body space and an electric flocculation discharge space by the starting partition plate and the tail partition plate; a plurality of electric flocculation anode plates and electric flocculation cathode plates which are arranged in parallel are arranged in the electric flocculation main body space; the treatment system can quickly and efficiently remove various organic pollutants in the wastewater, has a good removal effect on aromatic hydrocarbon, aliphatic hydrocarbon, phenols and alcohols, can greatly reduce the chemical oxygen demand and biochemical oxygen demand of the wastewater, and achieves a relatively high removal rate, and the general COD removal rate can reach 95% or above.

The invention relates to the technical field of organic chemical industry wastewater, in particular to an HPPO wastewater treatment system and method, and the system comprises a pretreatment unit which is used for respectively carrying out oil removal and homogenization on HP wastewater and PO wastewater to obtain HPPO wastewater; the oxidation unit is used for removing part of biochemical oxygen demand in the HPPO wastewater by utilizing a catalytic oxidation effect; the biochemical treatment unit is used for removing part of biochemical oxygen demand in the effluent of the oxidation unit by utilizing biochemical action, and the biochemical oxygen demand removed by the biochemical treatment unit is greater than the biochemical oxygen demand removed by the oxidation unit; and the deep treatment unit is used for treating the refractory biochemical oxygen demand in the effluent of the biochemical treatment unit. Therefore, the problems that in the prior art, the preparation process of a catalyst is complex, the cost is high, a large amount of chemical sludge can be generated, iron ions and sulfate ions in treated water exceed the standard, and the treatment efficiency of HPPO wastewater is low are solved.

The invention relates to the technical field of environmental protection and sewage treatment, and discloses a method for promoting quick start of shortcut nitrification. The method is carried out in a short-cut nitrification system, and comprises the following steps: controlling the DO concentration to be 1.10-1.40 mg / L by adopting an intermittent aeration method, controlling the aeration stopping ratio of the intermittent aeration to be (0.3-3): 1, and controlling the duration of each continuous aeration of the intermittent aeration to be not more than 10 minutes; in the short-cut nitrification system, the five-day biochemical oxygen demand of inlet water does not exceed 50 mg / L, the inlet water ammonia nitrogen is not lower than 20 mg / L, the sludge concentration is 0.5-8 gSS / L, the hydraulic retention time is 1-12 h, the sludge age is controlled to be 60 days or above, and the temperature is controlled to be 10-40 DEG C. The method provided by the invention realizes quick start and steady-state maintenance of short-cut nitrification, and has the characteristics of high ammonia oxidation rate, high nitrite accumulation rate, high reaction speed and the like.

The utility model relates to an analyzer for developing BOD (Biochemical Oxygen Demand) series catalysts, which comprises a reaction liquid storage tank and a catalytic reaction tank, a connecting pipe communicated with the catalytic reaction tank is arranged on the side wall of the top end of the reaction liquid storage tank, a bearing cylinder is arranged in the catalytic reaction tank, and a plurality of separation cavities are arranged in the bearing cylinder. The utility model relates to the technical field of catalyst development. According to the analyzer for developing the BOD series catalysts, a closed piston is pushed upwards through a pushing structure, so that reaction liquid enters a catalytic reaction tank through a connecting pipe and enters a flow dividing structure, and liquid needing to be catalyzed enters different catalytic pipes through flow dividing of the flow dividing structure; the reaction liquid reacts under the participation of different catalysts, and after the reaction is carried out for a period of time, the reaction effect is measured through the reaction sensor arranged in the catalytic tube, so that the aim of simultaneously measuring multiple batches of catalysts to improve the catalyst development efficiency is fulfilled.

The invention relates to the technical field of water sample analysis equipment, in particular to a full-automatic biochemical oxygen demand analyzer, which comprises two placing boxes with temperature control units, the placing plates are horizontally arranged and connected into the inner cavity of the placing box; the bottle body brackets are placed on the top wall of the placing plate; the sample processing control unit forms a parameter processing control area; the sample diluting unit forms a concentration diluting area; the bottle body capping unit forms a bottle cap taking and placing area; the oxygen demand detection unit forms an oxygen demand detection area; the two bottle support moving units are connected with the placing box, can be connected with the bottle body bracket and are used for enabling the bottle body bracket to move between the top wall of the placing plate and the parameter processing control area or the concentration dilution area or the bottle cap taking and placing area or the oxygen demand detection area; the method has the advantages that the workload of personnel in the biochemical oxygen demand detection process is reduced, and the accuracy of the detection result is guaranteed.

An automated, sensor-based control system for wastewater treatment plants for improved reuse of treated wastewater, comprising: an inlet monitoring unit consisting of a first array of sensors for recording quality parameters of the incoming wastewater; a wastewater monitoring unit with a second array of sensors for monitoring quality parameters of the treated wastewater, the second array of sensors being configured to measure biochemical oxygen demand (BOD), chemical oxygen demand (COD), nitrogen, phosphorus, ammonia, turbidity, and flow rate; a processing unit configured to receive real-time data from the inlet and effluent monitoring units and evaluate the quality parameters of the treated wastewater against predefined reuse standards;an automated barrier mechanism operationally linked to the processing unit and configured to regulate the flow of treated wastewater based on the compliance determined by the processing unit, whereby the automated barrier mechanism only allows the passage of compliant treated wastewater for reuse purposes and blocks or diverts non-compliant treated wastewater; and an alarm and warning system operationally linked to the processing unit and configured to generate notifications when the quality parameters deviate from the preset reuse standards.

The invention relates to the field of ecology, and more particularly to analytical biosensor devices. The claimed device can be used for detecting (determining) the level of contamination of water with biodegradable organic compounds by measuring the biochemical oxygen demand of samples of water of various origins, including fresh surface water, subsurface water (groundwater), drinking water, wastewater and purified wastewater. An analytical biosensor device for detecting the level of contamination of water with biodegradable organic compounds comprises: a measuring cuvette (3) containing a buffer solution; a magnetic stirrer (4); and a biosensor system comprising an oxygen electrode (1) configured for connection to an appliance for recording the biosensor system response, and, arranged on said oxygen electrode (1), a receptor element (2) comprising an association of microorganisms immobilized on a carrier, the analytical biosensor device being characterized in that the microorganisms used are Paracoccus yeei VKM B-3302, Pseudomonas veronii VKM В-3835 and Rhodococcus fascians VKM Ас-2996 in a mass ratio of 1:1:1, which are immobilized on a nitrocellulsoe membrane and are coated on top with a chitosan solution that forms a hydrogel after drying. The technical result of the invention is that of increasing the upper limit of the range of detectable biochemical oxygen demand (BOD) values to 200 mg / dm3, enhancing the operational stability of the biosensor system response, as well as increasing the stable operational lifetime of the biosensor system.

The invention belongs to the technical field of water quality detection, and discloses an ultraviolet-induced fluorescence water quality BOD (Biochemical Oxygen Demand) detection method and device based on secondary diffraction calibration. A pulse signal output by the control unit triggers the power supply module to drive the excitation light source, pulse excitation light generated by the light source is collimated by the collimating lens to form a collimated emission light beam, the collimated emission light beam is sent to the emission optical filter, excitation light of the light source is emitted through the emission optical filter, and interference light in the excitation light is filtered out; the excitation light excites the detected water body to generate a fluorescence signal, the fluorescence signal is emitted to the spectrum detection unit, the signal processing unit carries out real-time processing and analysis on spectrum data of the fluorescence signal, and real-time measurement of the BOD concentration of the water body is completed through an established BOD quantitative analysis model. By monitoring the intensity of secondary diffraction light in a water body spectrum curve, the BOD fluorescence peak intensity is compensated, and non-contact, real-time and rapid measurement of water quality BOD parameters is realized.

The present application provides an optimization processing method, device and medium for an urban water treatment system. The method includes: obtaining the governance engineering measures of multiple urban drainage systems; determining the upper limit values of the engineering quantities and the upper limit values of the investment costs corresponding to each governance engineering measure to generate multiple engineering quantity combinations; performing simulation evaluation processing on the engineering quantity combinations to obtain the investment amount data, the influent biochemical oxygen demand concentration data and the whole-life cycle carbon emission intensity values corresponding to each engineering quantity combination; obtaining a preset multi-objective optimization model, and performing Pareto frontier processing on the investment amount data, the influent biochemical oxygen demand concentration data and the whole-life cycle carbon emission intensity values corresponding to each engineering quantity combination to output a multi-objective trade-off scheme set of the urban water treatment system. This can improve the comprehensiveness of urban water treatment and meet the urban water treatment requirements.

This invention discloses a system, method, and reagent kit for detecting biochemical oxygen demand (BOD) in wastewater, belonging to the field of environmental monitoring technology. The detection system of this invention includes at least two independent detection channels and a signal processing module. Each detection channel independently includes an enzymatic conversion module, which contains hydrolytic enzyme systems, oxidoreductase systems, and coenzyme NAD for specific types of organic matter. + The signal transduction and amplification module includes a CRISPR-Cas effector protein, a fluorescent reporter probe, and a molecular switch. The signal processing module detects the fluorescence signal intensity of each detection channel and converts the fluorescence signal into the biochemical oxygen demand (BOD) contribution value of each detection channel based on a pre-stored standard curve, summing them to obtain the total BOD. This invention effectively overcomes the detection uncertainty caused by fluctuations in microbial activity and differences in substrate degradation rates in traditional methods, significantly shortening the detection cycle to within 30 minutes.

The utility model relates to the technical field of BOD (Biochemical Oxygen Demand) monitoring, and discloses a pretreatment device for online BOD monitoring, the pretreatment device for online BOD monitoring comprises a support base, a storage box, a filter box, an impurity removal box and an impurity removal screen plate, the storage box is fixedly arranged at the upper end of the support base, the filter box is fixedly arranged at the upper end of the storage box, and the impurity removal screen plate is fixedly arranged at the lower end of the filter box. An impurity removing box is fixedly arranged at the upper end of the filtering box, a transition frame is fixedly arranged at the upper end of the impurity removing box, a feeding groove is fixedly formed in the upper end of the transition frame, and a conveying motor is fixedly arranged at one end of the impurity removing box. According to the pretreatment device for online BOD monitoring, the pretreatment device is improved, so that the impurity removing and filtering capacity of the pretreatment device is improved, in the actual use process of the pretreatment device, an online BOD monitoring water source can be subjected to impurity removing treatment according to needs, filtering of the online BOD monitoring water source is facilitated, and the practicability of the pretreatment device is improved. The treatment effect of the pretreatment device for online BOD monitoring is improved.

This utility model discloses a laboratory device for measuring the biochemical oxygen demand (BOD) of water, including a reaction container. The reaction container has a top cover and a drain outlet at its bottom. A stirring motor is located in the middle of the upper part of the top cover, and an inlet pipe is installed on the upper part of the top cover next to the stirring motor. A control box is located on one side of the reaction container. An oxygen sensor is located at the lower end of a temperature control module. Aerators are also embedded on both sides of the drain outlet at the bottom of the reaction container. The device offers rapid and timely measurement: Real-time monitoring of dissolved oxygen concentration changes using an oxygen sensor, combined with an efficient data acquisition and processing module, allows for rapid calculation of the BOD value, significantly shortening the measurement time. The device provides accurate and reliable results: A high-precision temperature control module, an accurate oxygen sensor, and a scientific data processing algorithm together ensure the accuracy and reliability of the measurement results.

The invention discloses a sewage treatment process BOD (Biochemical Oxygen Demand) prediction method based on wide-depth fusion learning, and belongs to the technical field of sewage treatment. A soft measurement model BDFL constructed by the method comprises a sparse width learning module, a fusion module and a deep learning module, and the sparse width learning module suppresses overfitting through structured sparse constraint, and realizes high-dimensional data rapid parallel calculation and good generalization performance; the fusion module introduces adaptive multi-scale attention fusion and dynamic context perception attention, can allocate weights for different features according to data importance, and strengthens nonlinear coupling feature extraction; the deep learning module captures complex features by using the nonlinear mapping capability of a multi-layer perceptron, and designs a multi-target loss function, so that training pays more attention to the part which is not processed by the width learning module. The trained BDFL model is utilized to accurately predict the BOD in the sewage treatment process, and the method is suitable for the multi-mode sewage treatment process.

The invention discloses a sewage system regulation and control method based on intelligent water quality prediction, and relates to the field of reflux ratio regulation and control in water treatment.The method comprises the steps that auxiliary variables are determined, and an anoxic pond effluent biochemical oxygen demand prediction model or an anoxic pond effluent nitrate concentration prediction model is constructed; regulating and controlling the reflux ratio, and carrying out delay checking. When a water quality instrument has no signal, the method can temporarily predict the real effluent quality data of the anoxic tank, participates in refinement regulation and control of the reflux ratio, ensures that the system can continuously and stably operate for more than 3 months when the instrument is unstable, and the deviation degree of the predicted mean value is less than 10% compared with the real value. By predicting the effluent quality data of the anoxic zone, the correlation logic of the reflux ratio and the related water quality data is formed, and the reflux ratio is finely regulated, so that the condition that the total nitrogen removal rate is limited due to the too low reflux ratio or the chemical oxygen demand of the anoxic zone penetrates into the aerobic zone to influence nitrification is avoided; the influence on an anoxic environment caused by too high dissolved oxygen due to too high reflux ratio is also avoided.