13 results about "Sludge volume index" patented technology

The invention discloses an intelligent sewage treatment method and system based on data fusion, and relates to the technical field of sewage treatment.The intelligent sewage treatment method and system have the advantages that compared with a traditional monitoring mode depending on a single index, key parameters such as pollutant types, sludge volume indexes and filamentous bacterium biomass are integrated, comprehensive pollution load indexes are generated in combination with a dynamic normalization algorithm, and the comprehensive pollution load indexes are calculated; the coupling effect of organic matter impact and filamentous bacterium activity can be recognized more accurately, misjudgment of a single parameter is avoided, regulation and control can be started at the initial stage of exceeding the standard of the filamentous bacterium activity coefficient through a preset threshold triggering response strategy, compared with a mode that traditional microscopic examination lags for 4-8 hours, the response speed is effectively increased, and the detection efficiency is improved. Meanwhile, floc structure recovery serves as a termination condition, carbon source waste caused by excessive adjustment can be avoided, and the system recovery period is shortened by 30%.

The invention discloses an activated sludge screening granulation process and device and a using method, and relates to the technical field of sewage biochemical treatment. The device comprises a screen component, the screen component comprises at least one screen plate, screen holes are formed in the surface of the screen plate, and a base is installed below the screen plate; the aeration turbulence component comprises an aeration pipe mounted on the upper surface of the base, the surface of the aeration pipe is uniformly sleeved with an aeration disc mounting seat, an aeration disc is mounted above the aeration disc mounting seat, and an aeration pipe connector is mounted at the end part of the aeration pipe; the local turbulence stirring part comprises at least one stirring part, and the stirring part is arranged on any side of the sieve plate and located above the aeration disc; the multi-stage sieve holes are adopted, the sieve plate is divided into an upper area, a middle area and a lower area, the hole diameters are sequentially reduced, accurate grading interception can be achieved according to the particle size, the aeration disc releases tiny bubbles to form turbulent flow, shearing force is generated to destroy the flocculent sludge structure, microorganisms are promoted to secrete EPS, particle densification is accelerated, and the sludge volume index is reduced.

A deep learning-based method for predicting the settleability of activated sludge includes: (1) collecting a plurality of activated sludge samples, acquiring raw data of images of the plurality of activated sludge samples, cleaning the raw data of the images, and standardizing data sizes of the images; (2) calculating a sludge volume index (SVI) for each of the plurality of activated sludge samples; (3) establishing, by using a ResNet50 deep neural network, a model for predicting the settleability of activated sludge; and (4) predicting the settleability of a target activated sludge using the model established in (3).

Active sludge sieving granulation process, device and use method, relate to the technical field of sewage biochemical treatment, including screen component, screen component includes at least one sieve plate, sieve plate surface is provided with sieve hole, and the lower portion of sieve plate is provided with base;Aeration turbulent component, aeration turbulent component includes aeration pipe installed on the upper surface of base, aeration pipe surface is uniformly provided with aeration disc mounting seat, aeration disc mounting seat is provided with aeration disc above, and aeration pipe interface is installed at the end of aeration pipe;Local turbulent stirring component, local turbulent stirring device includes at least one stirring component, stirring component is arranged on any one side of sieve plate and above aeration disc;Multi-stage sieve hole is used, sieve plate is divided into upper, middle and lower three areas, aperture decreases in turn, can be accurately graded and intercepted according to particle size, aeration disc releases small bubbles to form turbulence, shear force is generated to destroy flocculent sludge structure, to promote microorganism to secrete EPS and accelerate particle densification, sludge volume index is reduced.

The invention relates to the technical field of sewage treatment, in particular to an intelligent activated sludge detection method and system based on multi-modal image recognized.The method comprises the steps that a plurality of sewage samples are obtained through sampling equipment, the sample placement moment is automatically captured through a pressure sensor to serve as starting time, and in the detection process, the sample placement moment is calculated; a camera shoots sample images according to a preset detection time sequence, an AI image processing model in a server analyzes the images, automatically extracts multi-dimensional data such as sludge volume, supernate clarity, rolling felt degree and compaction degree, forms a plurality of feature mean value sequences, constructs a feature mean value curve graph, and meanwhile, obtains a feature mean value curve graph. According to the method, a sludge volume index is obtained by performing mixing and drying operation on a sample, and finally, a system synthesizes multi-dimensional data such as a plurality of characteristic mean value curve graphs, the sludge volume index, the roll felt degree and the compaction degree, and generates a comprehensive sludge comprehensive diagnosis report in combination with an expert case library and an AI diagnosis analysis model. The intelligent degree and accuracy of activated sludge sewage treatment can be improved.

The invention relates to the technical field of wastewater treatment, and provides liquid zeolite as well as a preparation method and application thereof. The liquid zeolite provided by the invention comprises the following components in percentage by mass: 5-15% of natural zeolite, 0.2-2% of an additive and 83-94.8% of water, the additive comprises one or more of polyacrylamide, sodium alginate and metal chloride. The liquid zeolite provided by the invention can effectively solve the problem of sludge bulking in oily wastewater treatment, does not raise dust, can improve the working environment of operators, is convenient to use, is easy to accurately control the dosage, and is relatively low in cost. After the liquid zeolite is added, the sludge volume index (SVI) of the activated sludge can be reduced by more than 30%, the sludge settleability is obviously improved, and the effluent quality is obviously improved.

This application discloses an optimization method for regulating the SVI (Sludge Volume Index) of activated sludge based on algae control. The method includes: real-time monitoring of the SVI value in the aerobic activated sludge tank; adding algae at a set ratio to the aerobic activated sludge tank with abnormal SVI values, where abnormal SVI values ​​include both excessively low and excessively high values; for excessively low SVI values ​​(20-60 mL / g), adding algae to maintain the algae concentration in the aerobic tank at 150-250 mg / L to improve the sludge floc structure; for excessively high SVI values ​​(130-200 mL / g), adding algae to maintain the algae concentration in the aerobic tank at 50-150 mg / L to compress the sludge volume. This application achieves targeted regulation and long-term stability of the SVI value within a target range by precisely introducing specific algae into the activated sludge system.

The present invention discloses a method and device for culturing sludge of an aerobic granular sludge technology with low carbon and energy conservation. The device is mainly used for sewage treatment. The device includes a reaction tank (1), an aeration mechanism, a sludge discharge mechanism, a water distribution system, and a control system (2); the reaction tank is used to accommodate a mixed liquid containing activated sludge; the aeration mechanism is configured to supplement oxygen into the mixed liquid; the sludge discharge mechanism is configured to discharge the mixed liquid in the reaction tank; the water distribution system is configured to add water into the reaction tank (1) and has a first water addition state and a second water addition state. The first water flow rate in the first water addition state is V1, and the second water flow rate in the second water addition state is V2, and V2 is greater than V1; the control system is configured to control the working state of the water distribution system, as well as the operation time and water flow rate in the corresponding working state, according to the sludge volume index (SVI<subgt;30< / subgt;) and the mixed liquor suspended solids (MLSS) concentration.

The invention discloses an AOM-SBR process and device for advanced nitrogen and phosphorus removal of municipal wastewater, the device depends on a PLC control unit, adopts a regional DO gradient control strategy, and accurately regulates and controls a water inlet anaerobic stage, an aerobic-micro-aerobic circulation stage, a precipitation idle and water outlet stage and the like through structural optimization in a single reactor; phosphorus-accumulating bacteria, denitrifying glycogen-accumulating bacteria, denitrifying phosphorus-accumulating bacteria and the like are successfully enriched, and efficient nitrogen and phosphorus removal of sewage is realized. The AOM-SBR technology is innovatively provided, low-energy-consumption deep nitrogen and phosphorus removal of municipal sewage is achieved, the removal rate of TN and TP is close to 100%, the sludge settling performance is excellent, the sludge particle size D50 is 100-200 m, the sludge volume index is 30-60 mL / g, coexistence of granular sludge and floc sludge is achieved, and wide engineering application prospects are achieved.

The present invention relates to the technical field of sewage treatment, and discloses a method and device for measuring the sludge sedimentation ratio for sewage treatment. The method includes: performing image processing on sludge sedimentation image video data to obtain observation bottle pattern data containing the observed water sample; dividing the bottle body area in the observation bottle pattern data containing the observed water sample to obtain multiple bottle body segmented areas; obtaining the pixel brightness of the multiple bottle body segmented areas, performing clustering segmentation on the pixel brightness of the multiple bottle body segmented areas to determine the water body segmented areas; obtaining the pixel brightness of the water body segmented areas, performing clustering analysis on the pixel brightness of the water body segmented areas to determine the sludge sediment area; and determining the sludge sedimentation ratio measurement result based on the multiple bottle body segmented areas, the water body segmented areas, and the sludge sediment area. The present invention reduces human intervention, improves the intelligent level of the sludge sedimentation ratio measurement process, and improves the measurement accuracy and reliability of the sludge sedimentation ratio.

The invention discloses a continuous flow aerobic granular sludge coal chemical industry wastewater treatment system and method, and the system comprises a hardness removal inclined tube tank, an anoxic tank, an aerobic tank, a separation reflux device, a sedimentation tank and a Roots blower. The method comprises the following steps: S1, hardness removal treatment; s2, carrying out denitrification treatment; s3, nitrification and denitrification; s4, separating and refluxing; and S5, carrying out precipitation treatment. The continuous flow aerobic granular sludge sewage treatment system provided by the invention has the advantages that the sludge concentration of a mixed solution in a flowing state in the anoxic tank and the aerobic tank can reach 6-10g / L, the sludge volume index SVI30 can reach 50mL / g or below, the settling velocity is excellent, the denitrification effect of the sludge is effectively improved, and meanwhile, the sludge concentration is large, so that the sewage treatment efficiency is improved. The impact load of sewage can be effectively resisted, and the sewage treatment efficiency and stability are improved. And the generated sludge amount is less than that of a traditional activated sludge process, so that the subsequent sludge treatment cost is reduced.

This invention discloses a smart wastewater treatment method and system based on data fusion, relating to the field of wastewater treatment technology. Compared with traditional monitoring methods that rely on a single indicator, this invention integrates key parameters such as pollutant type, sludge volume index, and filamentous bacteria biomass, and combines them with a dynamic normalization algorithm to generate a comprehensive pollution load index. This allows for more accurate identification of the coupling effect between organic matter impact and filamentous bacteria activity, avoiding misjudgment based on a single parameter. Furthermore, by triggering a response strategy with a preset threshold, regulation can be initiated at the initial stage of filamentous bacteria activity exceeding the standard. Compared with the traditional microscopic examination method with a lag of 4-8 hours, the response speed is effectively improved. At the same time, using the recovery of floc structure as the termination condition can avoid carbon source waste caused by over-regulation and shorten the system recovery cycle by 30%.

The present invention discloses a method for predicting the sedimentation performance of activated sludge based on deep learning, comprising the following steps: (1) Collecting a number of activated sludge samples and respectively obtaining their original image data, cleaning the original image data and unifying the size; (2) Measuring the sludge volume index SVI of each activated sludge sample; (3) Establishing an image prediction model for the sedimentation performance of activated sludge based on the ResNet50 deep neural network; (4) Predicting the sedimentation performance of the target activated sludge according to the prediction model established in step (3). Based on the collected activated sludge images, through simple data cleaning and adjusting the image size, the present invention uses the ResNet50 deep neural network to construct a binary classification model to realize the early warning of activated sludge bulking. The input of the model is the activated sludge image data, and the output of the model is whether the activated sludge bulks. The method provided by the present invention has the advantages of fast detection speed, accurate recognition result, simple operation, high efficiency, and can be widely applied to the recognition of the sedimentation performance of activated sludge in sewage treatment plants.