42 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 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 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 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 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.

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 relates to the technical field of aquaculture, in particular to an ecological engineering regulation and control method for improving the quality of sea cucumbers in an argillaceous bottom salt pan, which comprises the following steps: establishing a salt pan argillaceous bottom sea cucumber pond, and configuring culture equipment according to the area of the salt pan argillaceous bottom sea cucumber pond; according to the data of the salt pan muddy bottom sea cucumber pond, a fermented compound microbial agent is put, organic matters in the bottom mud of the salt pan muddy bottom sea cucumber pond are decomposed, and a sea cucumber-algae-shellfish multi-nutrition hierarchical comprehensive culture system is constructed; the culture density is planned according to a sea cucumber-algae-shellfish multi-nutrition-level comprehensive culture system, and the salt pan muddy bottom sea cucumber pond environment is optimized. Aiming at the ecological characteristics of the argillaceous salt field, the method systematically improves the substrate environment, optimizes the micro-ecology of the water body, effectively reduces the biochemical oxygen demand of the bottom mud, increases the dissolved oxygen, reduces the water changing frequency, remarkably improves the quality of the sea cucumbers, and realizes the ecological, high-quality and high-valued cultivation of the sea cucumbers in the argillaceous salt field.

The present invention aims to provide an efficient cultivation technique for Aspergillus oryzae using a liquid component derived from milk. [Solution] A method for producing a culture of Aspergillus oryzae, comprising decomposing lactose in a milk-derived liquid component containing lactose to produce glucose and galactose, or, after producing glucose and galactose, adding Aspergillus oryzae and culturing, and separating the culture from the culture medium. A method for purifying wastewater, comprising decomposing lactose in a milk-derived liquid component containing lactose, which is wastewater, to produce glucose and galactose, or, after producing glucose and galactose, adding Aspergillus oryzae and culturing, and separating the culture from the culture medium to obtain a liquid phase in which at least one of the biochemical oxygen demand and the soluble chemical oxygen demand is 6000 mg / L or less.

The utility model discloses a wastewater biochemical oxygen demand detection device which comprises a shell module and a detection module, the detection module is arranged in the shell module, the shell module comprises a top plate, a bottom plate and a middle component, the middle component is located between the top plate and the bottom plate, and the top plate is provided with a display screen; the middle assembly is provided with a first side plate, a second side plate, a front plate and a rear plate. According to the wastewater biochemical oxygen demand detection device disclosed by the utility model, the shell module and the detection module are linked, and the detection ports and the detection buttons are linked, so that multiple groups of sample data can be detected at the same time, and the wastewater biochemical oxygen demand detection device has the advantages of stable structure, high efficiency, high practicability and the like.

The invention relates to the field of environmental monitoring, in particular to a prepared seawater biochemical oxygen demand standard substance and a preparation method and application thereof. Pollution-free natural seawater is subjected to reverse osmosis and ion supplementation to prepare seawater which serves as a standard substance matrix, glucosamine hydrochloride serves as a single organic standard substance, and a segmented linear relation between a BOD5 biological reaction coefficient alpha (r) and a proportion r under different glucose / glutamic acid mass ratios is established. And deducing a conversion formula between the glucosamine hydrochloride and glucose + glutamic acid, determining the dosage of the glucosamine hydrochloride, dissolving the glucosamine hydrochloride in prepared seawater, adding a borax buffer agent, subpackaging, and carrying out heat sealing to obtain the standard substance for seawater BOD5 determination and quality control. The method solves the problems of low recovery rate, complicated configuration, lack of a unified conversion method and the like of the existing pure water matrix standard substance in seawater.

The invention discloses a method for removing pollutants in a nanofiltration membrane concentrated solution through cooperation of coagulating sedimentation, Fenton oxidation and electrochemical oxidation, and belongs to the technical field of water pollution control. Aiming at the kitchen waste leachate nanofiltration membrane concentrated solution, the invention discloses a'coagulating sedimentation-Fenton oxidation-electrochemical oxidation 'cooperative treatment method, and provides an optimal parameter combination adapted to the method at the same time, the coagulating sedimentation process under the parameter combination can effectively remove organic matters (COD and TOC), nitrogen and phosphorus nutritive salts (TN and TP) and chromaticity pollutants in the nanofiltration membrane concentrated solution, and the effluent quality of the nanofiltration membrane concentrated solution is improved. The Fenton oxidation process can balance the synergistic effect of free radical oxidation and flocculation, so that efficient degradation of organic matters can be ensured, and stable operation of the system can be maintained; the chemical oxygen demand (COD), the biochemical oxygen demand (BOD5), the total nitrogen (TN), the total phosphorus (TN) and the chromaticity of the water sample treated by the method can meet the emission standards, and an industrial-grade solution for reference is provided for harmlessness of the nanofiltration membrane concentrated solution.

The invention relates to the technical field of copper-nickel alloy surface treatment, in particular to a copper-nickel alloy pipe natural film forming method and a detection method. The natural film forming method for the copper-nickel alloy pipe comprises the steps that the copper-nickel alloy pipe is washed in seawater for preset time, and an oxidation film is formed on the surface layer of the copper-nickel alloy pipe; the seawater should meet the following conditions: the sulfate reducing bacteria is less than 1cfu / 10ml; the biochemical oxygen demand is less than 2mg / L; the total suspended matter is less than 2.5 mg / L. The natural film forming method and the detection method for the copper-nickel alloy pipe have the advantages that an initial surface in a good state is formed on the surface of a material, a good protection layer is formed, the material is prevented from being corroded, the surface treatment process is simplified, the working procedures are reduced, a large amount of manpower, material resources and financial resources are saved, and the cost is reduced; and pitting corrosion and corrosion phenomena of the copper-nickel alloy pipe in seawater are avoided, and the service life is prolonged.

The invention relates to the technical field of urban water treatment, and discloses an urban water control optimization treatment method, device and equipment and a storage medium. Based on a plurality of water control engineering measures, an improved Latin hypercube sampling method is utilized to obtain a plurality of engineering combination samples; the defect of insufficient space coverage rate of a plurality of generated engineering combination samples can be reduced; then acquiring investment data of each engineering combination sample, biochemical oxygen demand concentration data of sewage entering a plant, carbon emission intensity per unit water volume and carbon emission intensity per unit pollutant reduction through a simulation evaluation method, so as to facilitate accurate quantification of each water control engineering measure; the carbon emission intensity per unit water volume and the carbon emission intensity per unit pollutant reduction are integrated as optimization objectives, a multi-objective optimization model is constructed, Pareto frontier processing is carried out by using a multi-objective optimization algorithm, and the situation that the total amount is low but pollution control is weak in an optimization result is avoided on the basis of ensuring that the optimization result conforms to a low-carbon index.

This application relates to the field of water sample analysis equipment technology, and in particular to a fully automated biochemical oxygen demand (BOD) analyzer, comprising: two placement boxes with temperature control units; multiple placement plates, which are horizontally arranged and connected to the inner cavity of the placement boxes; multiple bottle holders, which are placed on the top wall of the placement plates; a sample processing control unit, forming a parameter processing control area; a sample dilution unit, forming a concentration dilution area; a bottle capping unit, forming a bottle cap placement area; an Oxygen Demand (OD) detection unit, forming an OD detection area; and two bottle holder moving units, which are connected to the placement boxes and can be connected to the bottle holders to move the bottle holders between the top wall of the placement plates and the parameter processing control area, the concentration dilution area, the bottle cap placement area, or the OD detection area. This application has the effect of reducing the workload of personnel in the process of biochemical oxygen demand (BOD) detection and ensuring the accuracy of the test results.

The invention 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 organic silicon nano coating on the surface of an electrode of a dissolved oxygen sensor of a full-automatic BOD5 analyzer to obtain a fluorine-silicon modified dissolved oxygen sensor; the method comprises the following steps: pre-treating sewage to be detected in an adsorption column consisting of modified activated carbon and porous silica gel to obtain a pre-treated water sample; bacillus subtilis is fixed on a porous carrier and then put into the pretreated water sample, and an inoculated water sample is obtained; measuring the initial dissolved oxygen of the inoculated water sample and the final dissolved oxygen after five-day culture; and obtaining the five-day biochemical oxygen demand in the sewage according to the initial dissolved oxygen and the final dissolved oxygen. According to the application, through a four-stage collaborative system of sensor anti-interference optimization, sample purification and enrichment, microbial reaction standardization and accurate signal acquisition, error sources in traditional BOD5 detection are systematically eliminated, and accurate measurement of the organic matter pollution level in complex sewage is realized.

The invention provides automatic pretreatment equipment for five-day biochemical oxygen demand, which belongs to the technical field of full-automatic analysis and comprises a control system as well as an auxiliary equipment box body and an aeration cavity which are respectively connected with the control system, the auxiliary equipment box comprises a waste liquid box, a waste liquid collecting tank and an air pump set, the waste liquid collecting tank is located at the bottom of the aeration cavity, one end of the air pump set is communicated with the outside atmosphere, and the other end of the air pump set is connected with the aeration cavity through a gas pipeline; the aeration cavity comprises a cavity door, a first air distributor, an air conditioner, a winding pipe type heat exchanger, an aeration device and a sample tray, the air conditioner and the sample tray are located at the top and the bottom of the aeration cavity respectively, the winding pipe type heat exchanger is located at an air outlet of the air conditioner, and the aeration device is located above the sample tray; the aeration device, the winding pipe type heat exchanger, the gas pipeline and the gas pump set are sequentially connected, the first gas distributor is located on the gas pipeline, and the pretreatment automation degree and the sample aeration efficiency are improved.

This application provides a diagnostic method and equipment for anaerobic / aerobic processes in a biochemical unit, relating to the field of petroleum and petrochemical wastewater treatment. The method includes: calculating the chemical oxygen demand (COD), biochemical oxygen demand (BOD), and total nitrogen (TNO) removal rates based on the COD, BOD, and TNO values ​​of the influent and effluent of the biochemical unit; obtaining the process treatment efficiency based on the COD, BOD, and TNO removal rates; determining whether the process treatment efficiency is less than a first threshold; if so, obtaining the process parameters for each reactor; determining whether the process parameters match a preset parameter range; if not, obtaining and outputting diagnostic results based on the mismatched process parameters. This method accurately determines the impact of adjustments on the process unit and the actual operating status of the process unit, enabling the identification of process design defects and providing optimization directions through process parameter analysis, saving adjustment time and improving work efficiency.