CN105565608B - A kind of sewage disposal system based on data mining - Google Patents

Abstract

The sewage treatment system based on data mining in the present invention includes water inlet pipe, regulating tank, anaerobic tank, aeration tank, membrane bioreaction tank, membrane module, sludge tank, and water storage tank in sequence; the sewage in the water inlet pipe is injected into the regulating tank , the first submersible sewage pump is installed at the bottom of the regulating tank, the membrane module is arranged in the membrane bioreaction tank, the second submersible sewage pump is arranged at the bottom of the membrane bioreaction tank, the membrane module is connected to the suction pump, and the suction pump filters the membrane module The sewage is transported to the storage tank; it is characterized in that the upper part of the anaerobic tank is divided by a partition, one side of the partition is provided with a filter area, and the other side of the partition is connected to the aeration tank through a connection port; the middle part of the aeration tank is set There is an upper aeration pipe, and a lower aeration pipe is installed at the bottom of the aeration tank, and the lower aeration pipe and the upper aeration pipe are connected to the blower; the upper part of the aeration tank is connected to the membrane bioreaction tank through the filter wall; the bottom of the membrane bioreaction tank is provided with For the third submersible sewage pump, aeration plates are arranged on both sides of the membrane module.

Description

A Sewage Treatment System Based on Data Mining

technical field

The invention belongs to the technical field of energy saving and environmental protection, and specifically relates to a sewage treatment system based on data mining.

Background technique

According to the classification of sewage sources, sewage treatment is generally divided into production sewage treatment and domestic sewage treatment. Production sewage includes industrial sewage, agricultural sewage and medical sewage, etc., while domestic sewage is sewage produced in daily life, which refers to a complex mixture of various forms of inorganic and organic substances, including: ①floating and suspended solid particles of large and small sizes; ②glue Shape and gel-like diffuser; ③ pure solution. According to the nature of water pollution, there are two types of water pollution: one is natural pollution; the other is man-made pollution. At present, the most harmful to water bodies is man-made pollution. Water pollution can be divided into three categories: chemical pollution, physical pollution and biological pollution according to the different impurities. Pollutants mainly include: ⑴ untreated industrial wastewater discharged; ⑵ untreated domestic sewage discharged; ⑶ farmland sewage with extensive use of chemical fertilizers, pesticides, and herbicides; ⑷ industrial waste and domestic garbage piled up by the river ; ⑸ soil erosion; ⑹ mine sewage. There are many ways to treat sewage, which can be generally classified into physical, chemical and biological methods.

Membrane Bio-Reactor (MBR) is a new type of wastewater treatment system that organically combines membrane separation technology and biological treatment technology. Replace the terminal secondary sedimentation tank of traditional biological treatment technology with membrane modules, maintain a high concentration of activated sludge in the bioreactor, increase the organic load of biological treatment, thereby reducing the footprint of sewage treatment facilities, and reduce the remaining sewage by maintaining low sludge load amount of mud. Mainly use membrane separation equipment to intercept activated sludge and macromolecular organic matter in water. The concentration of activated sludge (MLSS) in the membrane bioreactor system can be increased to 8000~10,000mg/L, or even higher; the sludge age (SRT) can be extended to more than 30 days. Membrane bioreactor can retain microorganisms with a long generation cycle due to its effective interception, and can realize deep purification of sewage. At the same time, nitrifying bacteria can fully reproduce in the system, and its nitrification effect is obvious, providing possibility for deep phosphorus and nitrogen removal .

Contents of the invention

The purpose of the present invention is to overcome the deficiencies in the prior art and provide a sewage treatment system based on data mining.

The sewage treatment system based on data mining in the present invention includes water inlet pipes, regulating tanks, anaerobic tanks, aeration tanks, membrane bioreaction tanks, membrane modules, sludge tanks, and water storage tanks in sequence; the sewage in the water inlet pipes is injected into the In the adjustment tank, the bottom of the adjustment tank is provided with a first submersible sewage pump, the membrane module is provided in the membrane bioreaction tank, and the bottom of the membrane bioreaction tank is provided with a second submersible sewage pump. The second submersible sewage pump is used to transport the sewage from the membrane bioreactor to the sludge tank, and the membrane module is connected to a suction pump, and the suction pump transports the sewage filtered by the membrane module to the sludge tank. In the water storage tank; the upper part of the anaerobic tank is divided by a partition, and a filter area is provided on one side of the partition, and the filler in the filter area is made of silica with a particle size of 40 and anthracite filter material with a particle size of 20. , 10-mesh medical stone with a particle size of 7:4:10 by weight; the first submersible sewage pump transports the sewage from the regulating tank to the filter area, and the other side of the partition passes through the connection port connected to the aeration tank; the middle part of the aeration tank is provided with an upper aeration pipe, and the bottom of the aeration tank is provided with a lower aeration pipe, and the lower aeration pipe and the upper aeration pipe are connected to a blower; the aeration The upper part of the air pool is connected to the membrane bioreaction tank through the filter wall; the filler in the filter wall is composed of nano-mineral crystals with a particle size of 30 mesh, zeolite with a particle size of 20 mesh, and sodium bentonite with a particle size of 10 mesh in a weight ratio of 5:11:8. formed; the bottom of the membrane bioreactor tank is provided with a third submersible sewage pump, and the third submersible sewage pump is used to transport the sewage from the membrane bioreactor tank to the filter area, and the two membrane modules There is an aeration plate on the side. The aeration tank is provided with a COD detector, an ammonia nitrogen detector, a total phosphorus detector, a pH detector, and an SS detector. The air outlet direction of the aeration plate is all towards the direction of the membrane module, and the air outlet is alternately set according to the time.

In particular, the sewage treatment system of the present invention is based on data mining; COD detectors, ammonia nitrogen detectors, and total phosphorus detectors are respectively installed at the sewage drains 500 meters, 1,000 meters, 1,500 meters, 2,000 meters, and 2,500 meters away from the water inlet pipe. The COD detector, ammonia nitrogen detector, and total phosphorus detector regularly transmit the detected data to the computer, and the computer adds the COD data, ammonia nitrogen data, and total phosphorus data collected at the same time at five locations and stores them as summed COD data, summed ammonia nitrogen data, summed total phosphorus data;

The computer converts and normalizes the stored COD data, ammonia nitrogen data, and total phosphorus data of the first 15 days respectively through the linear function y=(x-MinValue)/(MaxValue-MinValue), and performs K- The mean value clustering is divided into five grades; the five grades correspond to different blower working strengths in advance. At the same time, calculate different grades: grade X average COD value, grade X average ammonia nitrogen value, grade X average total phosphorus value, X=1,2,3,4,5;

The real-time collected data will be converted and normalized, real-time COD value, real-time ammonia nitrogen value, real-time total phosphorus value, according to: Y=(real-time COD data-level X average COD value) ² +(real-time ammonia nitrogen data-level level X average ammonia nitrogen value) ² + (real-time total phosphorus data - level X average total phosphorus value) ² , X=1,2,3,4,5 calculation; when Y is the smallest, the work of the blower corresponding to the X level Intensity, for the next hour, the working intensity of the blower.

The sewage treatment system based on data mining in the present invention adopts two aerobic reaction tanks, the aeration tank and the membrane bioreaction tank, and a special aeration system setting, which enhances the treatment and decomposition ability of the sewage treatment system; at the same time, it is equipped with The filter wall made of special materials is used for filtration, and the aeration plates on both sides of the membrane module alternately discharge air to increase the swing of the membrane module, reduce the pollution of the membrane module and enhance the life of the membrane module; the setting of the filter area above the anaerobic pool The decomposition ability of the anaerobic pool is enhanced; at the same time, the present invention divides the historical data detected upstream of the sewage treatment system into different grades, and different grades correspond to the working intensity of different blowers; according to the upstream data of the sewage treatment system obtained in real time The closest gear, the working intensity of the blower corresponding to this gear, is the working intensity of the blower for a period of time in the future; this control method is very suitable for the control of sewage treatment systems with discharge sources that discharge sewage irregularly; using this method It can greatly reduce the energy consumption of the sewage treatment system and improve the sewage treatment capacity of the system.

Description of drawings

Fig. 1 is a schematic structural diagram of the sewage treatment system based on data mining in the present invention.

detailed description

The embodiment given below intends to further illustrate the present invention, but can not be interpreted as the restriction to protection scope of the present invention, those skilled in the art still belongs to the protection of the present invention to some non-essential improvements and adjustments of the present invention according to the content of the present invention scope.

The embodiment example is shown in Figure 1, a sewage treatment system based on data mining; sequentially includes a water inlet pipe 1, a regulating tank 2, an anaerobic tank 3, an aeration tank 4, a membrane bioreaction tank 5, a membrane module 6, a sludge tank 7, The water storage tank 8; the membrane module 6 is a submerged hollow fiber membrane module; the anaerobic tank 3 is added with special bacteria B for sewage treatment of Cangzhou Zhongxin Biotechnology Co., Ltd; Special bacteria strain A for sewage treatment of CITIC Biotechnology Co., Ltd.

The sewage in the water inlet pipe 1 is injected into the regulating tank 2, the bottom of the regulating tank 2 is provided with a first submersible sewage pump 9, the membrane module 6 is provided in the membrane bioreaction tank 5, and the bottom of the membrane bioreaction tank 5 is provided with a second submersible sewage pump 10. The second submersible sewage pump 10 is used to transport the sewage from the membrane bioreactor 5 to the sludge pool 7. The membrane module 6 is connected to the suction pump 11, and the suction pump 11 transports the sewage filtered by the membrane module 6 to the storage tank. In the pool 8; the upper part of the anaerobic pool 3 is divided by a partition 12, and one side of the partition 12 is provided with a filter area 13, and the filler in the filter area 13 is made of silica with a particle size of 40 mesh, anthracite filter material with a particle size of 20 mesh, and a filter material with a particle size of 20 mesh. The 10-mesh medical stone is mixed according to the weight ratio of 7:4:10; the first submersible sewage pump 9 transports the sewage from the regulating tank 2 to the filter area 13, and the other side of the partition 12 is connected to the aeration through the connection port 14 Pond 4; The middle part of the aeration tank 4 is provided with an upper aeration pipe 15, and the bottom of the aeration tank 4 is provided with a lower aeration pipe 16, and the lower aeration pipe 15 and the upper aeration pipe 16 are connected to the blower 17; the lower aeration pipe 15 and The upper aeration pipe 16 adopts the microporous aeration method;

The upper part of the aeration tank 4 is connected to the membrane bioreaction tank 5 through the filter wall 18; the filler in the filter wall 18 is composed of nano-mineral crystals with a particle size of 30 mesh, zeolite with a particle size of 20 mesh, and sodium bentonite with a particle size of 10 mesh in a weight ratio of 5:11:8 mixed; the bottom of the membrane bioreactor 5 is provided with a third submersible sewage pump 19, and the third submersible sewage pump 19 is used to transport the sewage of the membrane bioreactor 5 to the filter area 13 to supplement the sewage in the anaerobic pool 3. The mud concentration is 15~20g/L; the two sides of the membrane module 6 are provided with aeration plates 20 . The aeration plate 20 adopts a jet aeration method, and the aeration tank 4 is provided with COD detectors, ammonia nitrogen detectors, total phosphorus detectors, pH detectors, and SS detectors. The air outlet directions of the aeration plates 20 all face the direction of the membrane module 6, and the two aeration plates 20 are set to alternately output air at a period of 2 seconds according to the time. The sludge concentration MLSS maintained in the aeration tank 4 and the membrane bioreactor 5 is 10~15g/L,

In particular, COD detectors, ammonia nitrogen detectors, total phosphorus detectors, COD detectors, ammonia nitrogen detectors, The total phosphorus detector transmits the detected data to the computer at regular intervals, and the computer sums the COD data, ammonia nitrogen data, and total phosphorus data collected at the same time at five locations and stores them as summed COD data, summed ammonia nitrogen data, and summed total phosphorus data;

Every five days, the computer converts and normalizes the stored COD data, ammonia nitrogen data, and total phosphorus data of the first 15 days respectively through the linear function y=(x-MinValue)/(MaxValue-MinValue) , using the K-means clustering algorithm provided by SPSS19.0 to divide it into five levels; the five levels correspond to different blower working strengths in advance. At the same time, calculate different grades: grade X average COD value, grade X average ammonia nitrogen value, grade X average total phosphorus value, X=1,2,3,4,5;

COD detectors, ammonia nitrogen detectors, and total phosphorus detectors transmit real-time data in real time every hour, and convert and normalize the real-time collected data, namely real-time COD values, real-time ammonia nitrogen values, and real-time total phosphorus values, according to: Y= (Real-time COD data - grade X average COD value) ² + (real-time ammonia nitrogen data - grade X average ammonia nitrogen value) ² + (real-time total phosphorus data - grade X average total phosphorus value) ² , X=1,2, 3,4,5 calculation; the working intensity of the blower corresponding to the X gear when Y is the smallest is the working intensity of the blower for the next hour.

Claims (1)

1. A kind of 1. sewage disposal system based on data mining, successively including water inlet pipe, regulating reservoir, pond of being sick of, aeration tank, film life Thing reaction tank, membrane module, sludge-tank, tank；Sewage in the water inlet pipe is injected in the regulating reservoir, the regulating reservoir bottom Portion is provided with the first submersible sewage pump, and the membrane module is arranged in the membrane biological reaction pond, and the membrane biological reaction bottom of pond portion is set The second submersible sewage pump is equipped with, second submersible sewage pump is used for by the sewage transport in the membrane biological reaction pond into the sludge-tank, The membrane module connects suction pump, and the suction pump is by the sewage transport after membrane module filtering into the tank；Its It is characterised by that the top in the lonely pond is split by dividing plate, the side of the dividing plate is provided with filtering area, is filled out in the filtering area Fill thing by the silica of the mesh of granularity 40, the ANTHRACITE FILTER MEDIA of the mesh of granularity 20, the mesh of granularity 10 medical stone by weight 7:4:10 Mix；By the sewage transport of regulating reservoir into the filtering area, the opposite side of the dividing plate passes through first submersible sewage pump Connector connects the aeration tank；Aeration tube is provided with the middle part of the aeration tank, the aeration tank bottom is provided with lower aeration Pipe, the lower aeration tube connect air blower with upper aeration tube；The top of the aeration tank connects the film biology by filtering wall Reaction tank；It is described filtering within the walls filler by the mesh of granularity 30 nanometer ore deposit crystalline substance, the mesh zeolite of granularity 20, the mesh sodium bentonite of granularity 10 By weight 5:11:8 mix；The membrane biological reaction bottom of pond portion is provided with the 3rd submersible sewage pump, and the 3rd submersible sewage pump is used In by the sewage transport in the membrane biological reaction pond, into the filtering area, the both sides of the membrane module are provided with aeration board, institute State and COD detectors, ammonia nitrogen detector, total P detector, pH detectors, SS detectors are provided with aeration tank, intake in distance 500 meters of pipe, 1000 meters, 1500 meters, 2000 meters, 2500 meters of sewer position, it is respectively arranged with COD detectors, ammonia nitrogen detection Device, total P detector, COD detectors, ammonia nitrogen detector, the timing of total P detector send the data of detection to computer, counted COD data that calculation machine collects five position synchronizations, ammonia nitrogen data, total phosphorus data add respectively and after save as plus and COD Data plus and ammonia nitrogen data plus and total phosphorus data；Computer by first 15 days of storage plus and COD data, plus and ammonia nitrogen number According to, plus and total phosphorus data, respectively by linear function conversion normalization after, carry out K- mean clusters be divided into five shelves levels；Five Individual shelves level is correspondingly arranged different air blower working strengths in advance respectively；Calculate different shelves levels simultaneously:The average COD values of shelves level X, The average ammonia nitrogen values of shelves level X, the average total phosphorus values of shelves level X, X=1,2,3,4,5；The number collected in real time of normalized will be changed According to, real-time COD value, real-time ammonia nitrogen value, real-time total phosphorus value, according to:Y=（The real-time average COD values of COD data-shelves level X）²+（In real time The average ammonia nitrogen values of ammonia nitrogen data-shelves level X）²+（The real-time average total phosphorus values of total phosphorus data-shelves level X）², X=1,2,3,4,5 calculate；Y is most Hour X shelves levels corresponding to air blower working strength, be next hour, the working strength of air blower, the aeration board Towards membrane module direction, alternately outlet is set according to the time for outgassing direction.