10016 results about "Sludge" patented technology

The invention provides a multiphase collaborative purification intelligent treatment system for heavy metal wastewater, which relates to the technical field of wastewater treatment and comprises a pretreatment module, a main treatment module, an advanced treatment module, a post-treatment and recycling module, a sludge treatment module and an intelligent control module. The intelligent control module comprises a data acquisition layer, a control layer and a management layer, and intelligent control on each treatment module is realized by monitoring parameters such as pH value, ORP (oxidation-reduction potential), conductivity and heavy metal ion concentration of the wastewater on line. The data acquisition layer acquires processing parameters in real time through various sensors; the control layer executes control logic based on the PLC / DCS and monitors the operation state through SCADA (Supervisory Control And Data Acquisition); the management layer adopts AI algorithms such as a water quality-energy consumption correlation regression model and a time sequence water quality fluctuation learning model to optimize processing parameters. According to the system, the treatment process can be intelligently adjusted according to the characteristics of the wastewater, the maximization of the heavy metal wastewater treatment efficiency, the minimization of chemical consumption and the minimization of energy consumption are realized, and the treatment effect and the system stability are improved.

The invention relates to the technical field of sewage treatment, in particular to an aerobic aeration treatment system for plateau domestic sewage treatment, which comprises a pretreatment unit, a biological treatment unit, an advanced treatment unit and a recycling unit which are connected in sequence, the system further comprises a data acquisition module, an aerobic aeration intelligent regulation and control module, a biochemical environment constant-temperature maintenance module, a carbon-nitrogen proportion and backflow dynamic regulation and control module, a digital twinning and sludge characteristic simulation module and an energy collaborative scheduling module. Compared with the prior art which adopts a standard aeration strategy and cannot adapt to the special environment of low air pressure and low oxygen partial pressure of the plateau, the system can accurately adapt to the plateau environment by integrating real-time atmospheric pressure and water temperature monitoring, dynamically calculating the oxygen saturation solubility and correcting the aeration control target according to the oxygen saturation solubility, so that the aeration control target is optimized. Stable supply of dissolved oxygen required by biochemical reaction is ensured, and the technical bottleneck of low efficiency of traditional sewage treatment in plateau regions is fundamentally overcome.

The invention discloses a precise sewage aeration method, and relates to the field of water, wastewater, sewage or sludge treatment, the method comprises a feed-forward model and a feedback model, the feed-forward model collects historical data of aeration tank operation parameters, environmental parameters and oxygen demand, and a decision tree is iteratively generated to correct errors and determine a target dissolved oxygen value; the feedback model corrects the target dissolved oxygen value according to the aeration tank dissolved oxygen concentration and the mixed liquid suspended solid concentration; and controlling the power of the aeration equipment according to the target dissolved oxygen value. Through common coordination of the feedforward model and the feedback model, accurate aeration of sewage treatment is realized.

The invention discloses a large-scale pig breeding wastewater purification treatment system, and relates to the technical field of wastewater treatment.The large-scale pig breeding wastewater purification treatment system is characterized in that the ion concentration of anaerobic liquid is monitored through a multi-ion sensing array, and a multi-channel feeding system is controlled to synthesize customized struvite compound fertilizer; the AI prediction control unit predicts the optimal medicament dosage and realizes millisecond-level closed-loop regulation; the multi-dimensional synergistic biochemical treatment module comprises an A / O biochemical treatment unit and an electric field enhanced anaerobic ammonia oxidation reactor, the electric field enhanced anaerobic ammonia oxidation reactor applies a direct-current electric field through an electrode pair, and engineering conductive biochar is used as a carrier to accelerate microbial metabolism; the sludge low-temperature pyrolysis self-consistent circulation module is used for pyrolyzing and converting residual sludge into biochar, biofuel and wood vinegar, and the biochar activation treatment unit is used for preparing engineering conductive biochar and forming a substance closed loop through a self-consistent circulation conveying system; and the digital twinning intelligent management and control platform realizes intelligent management and control of the system.

A filter press includes a fabric stacking device, a filter press frame assembly, and a filter press device. The filter press frame assembly includes a filter press frame and a base plate. The filter press device includes a base, a main hydraulic cylinder, and a pressure plate. The fabric stacking mechanism includes a frame, a filter cloth operating assembly, a sludge discharge mechanism, a sludge separating and pressing mechanism, a pressing roller, and a fabric stacking and feeding mechanism. The filter cloth operating assembly includes a cloth winding mechanism, a winding and measuring mechanism, and a filter cloth correction mechanism. The cloth winding mechanism includes a cloth winding roller that can move along its own axial direction and rotate around its own axis. The cloth winding roller adjusts its position by moving along its own axial direction according to the detection result of the winding and measuring mechanism. The sludge separating and pressing mechanism includes a pressing plate with a horizontally arranged pressing part. The setting height of the pressing roller is adjustable, and the axis of the pressing roller is perpendicular to the moving direction of the lower filter cloth. The fabric stacking and feeding mechanism is located at one end of the frame and is used to transport sludge bags formed by the upper and lower filter cloths wrapping sludge. This invention can automatically correct the filter cloth deviation, keep the filter cloth flat, and prevent sludge leakage.

The invention provides a method, a device and equipment for determining a sludge resource utilization path, belongs to the technical field of computer information processing, and solves the problem that economic, environmental and social targets are difficult to dynamically and collaboratively optimize in the current sludge resource treatment process. The method comprises the following steps: acquiring original data, wherein the original data comprises at least one of sludge attribute data, process parameters and external dynamic data; preprocessing the original data to obtain sludge sample data; classifying and integrating the sludge sample data to obtain a multi-dimensional tensor; decomposing and dynamically updating the multi-dimensional tensor to obtain a decomposed factor matrix; inputting the decomposed factor matrix into a path optimization model for processing to obtain a resource optimization path set; and performing optimal verification processing on the resource optimization path set to obtain optimal utilization path data. According to the scheme, dynamic optimal balance of sludge treatment economic benefits, carbon emission reduction and social compliance is realized.

The invention discloses a nickel-containing etching wastewater treatment process, which belongs to the technical field of environmental protection, and comprises a raw water regulating tank, a pH pre-regulating tank, a heterogeneous catalytic oxidation tower, a neutralization coagulation tank, an inclined tube sedimentation tank and a clean water tank which are connected in sequence. According to the process, under the neutral condition, a catalyst loaded with cobalt manganese oxide is used for activating sodium hydrogen persulfate, high-activity sulfate free radicals are generated, a Ni-EDTA complex structure is fractured in a targeted mode, free nickel ions are released in situ, organic ligands are synchronously mineralized, and the adding amount of sodium hydrogen persulfate is dynamically adjusted through a clean water pool closed-loop control system; and high-purity nickel hydroxide precipitate is generated through alkaline precipitation and coagulation, so that efficient solid-liquid separation is realized. The treatment process disclosed by the invention is compact in flow and stable in operation, effectively solves the problems of difficult complex breaking, low nickel removal efficiency, high sludge toxicity, difficult resource recovery and the like when the EDTA complex nickel wastewater is treated by a traditional method, realizes closed-loop recovery of nickel resources, and has the remarkable advantages of low cost, high efficiency and environmental friendliness.

The invention relates to the technical field of sewage treatment optimization, in particular to an intelligent sewage plant full-process management and control method based on digital twinning, which comprises the following steps: acquiring concentration data to calculate rate clustering fluctuation, setting a threshold value mark stable section to analyze sedimentation association, constructing dynamic threshold value output control information, and adjusting stirring to generate a sludge discharge instruction set. According to the method, through the time sequence clustering of the concentration change rate, the stable section in the sludge sedimentation process is identified, the concentration fluctuation identification precision is improved, the sedimentation hysteresis is judged based on the time difference between the sedimentation track and the standard curve, the particle layering identification capability is improved, and the dynamic threshold matrix is constructed by using the correlation degree and the particle size data; the concentration range, the settling velocity deviation and the particle size distribution dispersion are fused, the multidimensional property of a regulation and control basis is enhanced, the interface position movement trend is combined, the concentration range is matched, a stirring intervention instruction is output, real-time regulation and accurate control of the layered settling process are achieved, and the treatment stability and the reaction time efficiency are improved.

The invention belongs to the technical field of wastewater treatment, and provides a wastewater treatment equipment remote control system based on the Internet of Things, which aims at solving the problems that the traditional fixed DO concentration control cannot adapt to water inlet load fluctuation, the effluent is easy to be substandard or the aeration energy consumption is high, the monitoring data noise is large, and the time sequence is misplaced. According to the scheme, a multi-dimensional real-time sensing network is constructed, flow, COD, BOD, ammonia nitrogen, water temperature, distributed DO and sludge activity sensors are deployed, discrete wavelet transform is adopted for noise reduction, and a data time sequence is aligned; a three-layer load-DO-energy consumption dynamic correlation model is designed, a basic layer predicts a load trend through LSTM, a middle layer quantifies a DO demand through a microbial metabolism model, and an optimization layer outputs an optimal DO set value through a PPO algorithm; and developing a dynamic decision-making system, adaptively generating a DO interval according to a load state, and adjusting fan parameters and number in a linkage manner. According to the invention, load dynamic adaptation is realized, effluent ammonia nitrogen is guaranteed to reach the standard, aeration energy consumption is reduced, and remote control precision and equipment operation efficiency are improved.

The embodiment of the invention relates to the technical field of sludge treatment, and discloses an AGI-based sludge deep dehydration conditioning method, which comprises the following steps: acquiring time sequence sensor parameters detected by a plurality of sensors at a dehydration conditioning system; acquiring an image, acquired by image acquisition equipment, of sludge at the corresponding capillary water absorption detection system; extracting an image feature vector from the at least one image according to the convolutional neural network, and encoding a corresponding time sequence sensor parameter by adopting a Transform module to generate a time sequence feature vector; fusing the image feature vector and the time sequence feature vector into an input state representation; the input state representation is input into an AGI multi-mode model for recognition processing, and output state information is generated through a multi-task decoder; and transmitting the optimal control parameters to a corresponding programmable logic controller so as to adjust the operation state of the dehydration conditioning system. By means of the method, real-time sensing, intelligent decision making and dynamic optimization of the sludge deep dehydration conditioning process are achieved.

The invention belongs to the technical field of sewage treatment, and particularly relates to an anaerobic ammonia oxidation-photoelectric denitrification deep nitrogen removal method. The method comprises the following steps: firstly, adopting a double-chamber reactor; introducing part of sewage into the cathode chamber, carrying out Anammox reaction under a dark state condition to remove ammonia nitrogen and part of nitrite nitrogen, and synchronously generating nitrate nitrogen; turning on a light source to irradiate the anode chamber, exciting photo-induced electrons by a photosensitizer, transmitting the photo-induced electrons to the cathode chamber through an external circuit, and driving the sulfur autotrophic denitrification sludge to reduce residual nitrite nitrogen and nitrate nitrogen generated by Anammox; the total nitrogen removal rate is close to 100%. According to the invention, photo-induced electrons are used as the only denitrification electron donor, so that the addition of a carbon source / sulfide is thoroughly avoided, and the risk of secondary pollution is eliminated. The method is suitable for green low-carbon deep treatment of sludge digestion liquid and pharmaceutical wastewater high-ammonia-nitrogen low-carbon-nitrogen-ratio sewage.

The invention provides a low C / N sewage nitrogen and phosphorus removal method based on MABR-DPR-anaerobic ammonia oxidation, which couples anaerobic, membrane aeration anoxic and anaerobic ammonia oxidation processes, forms an anoxic environment in a water phase of a membrane aeration reactor, and enriches denitrifying phosphorus-accumulating bacteria. And the anaerobic phosphorus release and anoxic denitrification nitrogen and phosphorus removal processes of the denitrifying phosphorus-accumulating bacteria are realized through the backflow of the sludge between the anaerobic tank and the membrane aeration reactor. Nitrite accumulated in effluent of the membrane aeration reactor supplements an electron acceptor for a subsequent anaerobic ammonia oxidation deep denitrification process, and meanwhile, a carbon source is obviously consumed in an anoxic denitrification nitrogen and phosphorus removal process of the membrane aeration reactor, so that inhibition of influent organic matters on an anaerobic ammonia oxidation process is effectively weakened. The process solves the problem that the carbon source is seriously insufficient in the nitrogen and phosphorus removal process of the low C / N sewage, and the stable and efficient nitrogen and phosphorus removal effect can still be maintained under the condition that an external carbon source is not needed.

The invention relates to the technical field of soil remediation, in particular to a soil remediation formula optimization method based on solid waste raw material charcoal improvement, which comprises the following steps: acquiring a coal gangue powder material flow and a sludge material flow, respectively performing component detection on a soil sample set, the coal gangue powder material flow and the sludge material flow to obtain a component content report, performing multi-factor combination on the plurality of biochar, the plurality of microbiota and the plurality of enrichment plants to obtain a plurality of first initial raw material combinations; and constructing a plurality of unit soil remediation experiment groups based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow and the sludge material flow, and performing a soil remediation experiment on the plurality of unit soil remediation experiment groups based on a preset test pause condition to obtain an optimal scheme. According to the invention, the formula optimization of targeted soil remediation can be realized by utilizing the charcoal, the coal gangue and the municipal sludge.

The invention relates to the technical field of sludge reduction and resource utilization, in particular to a method for resource utilization of sludge gasification slag. According to the method, municipal sludge gasification slag is smashed and then subjected to acid leaching, acid leaching liquid and acid leaching slag are obtained, iron in the acid leaching liquid is recycled, meanwhile, the acid leaching slag is subjected to alkaline leaching, under the strong alkaline condition, a calcium source is added into alkaline leaching liquid, then calcium phosphate sediment can be obtained, and iron in alkaline leaching separation liquid is recycled; a calcium ion solution can be generated in the processes of recovering iron in the pickle liquor and refining calcium phosphate, and the obtained calcium ion solution can be used as a calcium source for comprehensive utilization. The method disclosed by the invention can be used for realizing extraction and resource utilization of phosphorus, iron, aluminum and calcium in the sludge gasification slag, and has important significance on environmental protection and resource saving.

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 a large-scale immersed tube tunnel silt squeezing simulation device and method, the large-scale immersed tube tunnel silt squeezing simulation device comprises a large-scale immersed tube model, a truss structure, a gear rack structure, two supports and a model groove, the truss structure is fixed on the top of the large-scale immersed tube model, and a balancing weight is placed on the truss structure; two sealing rubber strips are respectively arranged on the periphery of the large-scale immersed tube model; in the process of lowering the large-scale immersed tube model in the model tank, one end of the large-scale immersed tube model rubs with the side wall of the model tank to form a closed end, the other end of the large-scale immersed tube model forms a sludge discharge end, and an ultrasonic flow meter is arranged at the sludge discharge end; a stay wire displacement sensor is fixed on each bracket, two fixed ends are arranged at the top of the large-scale immersed tube model, and a fixed head of each stay wire displacement sensor is fixed on one fixed end; a gravel layer, a back-silting float sludge layer and a seawater layer are sequentially arranged in the model groove from bottom to top, and a sea groove slope model is arranged in the model groove.

The invention relates to the field of sewage treatment, in particular to a sewage treatment optimization method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring treatment parameters such as inlet water quality data, instantaneous flow, sewage types and outlet water quality requirements, matching corresponding treatment process constraint conditions according to the sewage types, and formulating differentiated treatment strategies according to characteristics of different types of sewage such as industrial wastewater, domestic wastewater and medical wastewater; the method comprises the following steps: determining sewage treatment data by combining instantaneous flow, effluent quality requirements and treatment process constraint conditions, calculating an aeration rate regulation value, sludge reflux and chemical agent dosage, realizing dynamic optimization of treatment parameters, generating a control instruction based on the optimized sewage treatment data, and issuing the control instruction to a sewage treatment system. The sewage treatment efficiency is effectively improved, and multi-target collaborative optimization sewage treatment is realized.

The invention belongs to the technical field of sewage treatment and membrane separation, and provides an in-situ nondestructive membrane pollution detection system and method based on an ultrasonic transmission signal, and the system comprises an ultrasonic excitation module which is used for generating a sine wave excitation signal which penetrates through a membrane body to excite the ultrasonic transmission signal for pollution detection; the signal processing module is used for continuously collecting and preprocessing ultrasonic transmission signals of the clean membrane body and the membrane bodies with different pollution degrees, extracting ultrasonic transmission signal characteristics under different pollution degrees, and establishing a pollution thickness-signal characteristic mapping model; wherein the ultrasonic transmission signal features comprise a time-frequency domain energy gravity center feature and a frequency attenuation spectrum slope feature; and the pollution detection module is used for judging the pollution stage of the membrane body to be detected based on the pollution thickness-signal feature mapping model, and completing in-situ nondestructive membrane pollution detection. According to the technical scheme, the sludge pollution state in the ceramic membrane and flat membrane filtering process can be monitored in real time, and early warning and pollution dynamic tracking are achieved.

The invention discloses a self-adaptive adjustment magnetic separation-membrane filtration coupling sewage treatment system and a self-adaptive adjustment magnetic separation-membrane filtration coupling sewage treatment method. The system comprises a pretreatment unit, a magnetic separation core unit, a self-adaptive intermediate buffer unit, a membrane filtration unit and a sludge treatment unit which are communicated in sequence. The core of the system is that a plurality of on-line sensors are linked through a central control system, water quality parameters are monitored in real time, the adding amount of magnetic powder and a coagulant, the rotating speed of a stirrer, the membrane flux, the backwashing period and a cleaning program are adjusted in a self-adaptive mode, and intelligent cooperation and accurate regulation and control of magnetic separation and membrane filtration processes are achieved. According to the invention, the problems of easy membrane pollution, high magnetic powder consumption, high operation cost and dependence on manual operation in the traditional process are effectively solved, the service life of the membrane is obviously prolonged, the operation and maintenance cost is reduced, and the effluent quality is stable and meets the high-standard discharge or reuse requirement.

The utility model relates to a sludge drying system coupled with a heat storage system. The sludge drying system comprises a heat storage module, a sludge drying module, a waste heat collecting module and a waste heat upgrading module, the heat storage module is used for storing peak regulation steam energy of the power plant; the sludge drying module is connected with the heat storage module, comprises a plurality of drying machines which are connected in parallel, and is used for drying sludge by utilizing low-pressure steam; the waste heat collecting module is connected with the sludge drying module and is used for recycling high-temperature waste gas waste heat; the waste heat quality improving module is connected with the waste heat collecting module and used for improving the quality of the waste heat and recycling the waste heat. The utility model has the beneficial effects that the drying technology is coupled with a boiler system, so that steam energy which is difficult to store is converted into storable and combustible fuel, the deep peak regulation of a power plant is facilitated, the scale of a heat storage system is reduced, and the economical efficiency of the system is improved.

The utility model relates to a biological fluidized bed tower-type water treatment system, which belongs to the technical field of sewage treatment, and comprises a tower body, the interior of the tower body is divided into an aerobic zone, an anoxic zone and a settling zone through an inner cylinder wall, a flow guide wall and a mud bucket wall, and a gas lifting device is arranged to communicate the interior of the aerobic zone with the interior of the anoxic zone. According to the present invention, the anoxic tank, the aerobic tank and the secondary sedimentation tank are organically combined to form the highly integrated tower reactor, and the occupied area is small compared with the traditional biochemical process; the biological fluidization system is higher in sludge concentration, can tolerate higher salinity, higher COD (Chemical Oxygen Demand) and higher nitrogen-containing wastewater, and is higher in load impact resistance; the oxygen utilization rate of the biological fluidized bed system is improved by 50% compared with that of traditional aeration, the sludge backflow and nitrification liquid circulation of the biological fluidized bed system synchronously adopt the gas stripping technology, a sludge backflow pump and a nitrification liquid backflow pump are reduced, and the operation energy consumption of the system is greatly reduced.

The invention relates to the technical field of sewage treatment, and discloses a sewage chemical characteristic identification-based treatment flow intelligent control method, which comprises the following steps of: acquiring inlet water chemical fingerprint spectrum data through a spectrum sensor deployed in a sewage pipe network, and predicting the time when the inlet water reaches a treatment plant; before inflow water arrives, inputting the fingerprint data into a biochemical reaction potential analysis model to obtain a biochemical reaction potential vector, and calculating a hydraulic affinity score of each parallel biochemical treatment unit according to the biochemical reaction potential vector; in combination with sludge function portrait data acquired from the plant, a targeted gain affinity score for deploying a specific return sludge source to a specific biochemical treatment unit is calculated. According to the method, based on the two scores, the optimal flow distribution and sludge allocation strategy is cooperatively determined through optimization solution, so that water quality impact is effectively dealt with, stable operation of the system is ensured, and the impact resistance and stability of the system are remarkably improved.

The present application relates to the field of municipal wastewater treatment, and particularly relates to a highway service area wastewater treatment device and method based on AOOA-MBBR process. The device comprises a first anoxic tank, a first aerobic tank, a second aerobic tank and a second anoxic tank connected in sequence, and is filled with MBBR filler respectively, and the volume of the filled MBBR filler is taken as the effective volume; the first aerobic tank and the second aerobic tank are respectively provided with an aeration device; the first anoxic tank is used for inoculating hydrolytic bacteria and denitrifying bacteria; the first aerobic tank is used for inoculating hydrolytic bacteria, nitrifying bacteria and denitrifying bacteria; the second aerobic tank is used for inoculating nitrifying bacteria, and the second anoxic tank is used for inoculating hydrolytic bacteria and denitrifying bacteria; the second aerobic tank is connected with the first anoxic tank through a reflux pipe, and the reflux pipe is provided with a reflux power assembly. The present application solves the problems of existing highway service wastewater treatment with extremely low carbon-nitrogen ratio, such as the need for additional carbon source / electron donor, high operation cost, poor denitrification effect and high sludge yield.

The invention discloses a mucky clay pile foundation drilling parameter regulation and control method and system, and belongs to the technical field of pile foundation drilling construction.The method comprises the steps that historical construction data of mucky clay pile foundation drilling is collected and preprocessed, and a data set is constructed; constructing and training a machine learning model based on the data set to obtain a drilling parameter time sequence prediction model; actual drilling parameters in the drilling process are collected in real time and compared with predicted drilling parameters output by the model, and drilling parameter errors are determined; and dynamically adjusting the drilling parameters of the drilling machine based on the drilling parameter error. According to the method, key parameters such as the drilling pressure, the rotating speed and the slurry concentration are intelligently regulated and controlled, so that the pile foundation construction efficiency and the hole forming quality in the complex soft soil stratum are improved, the construction risk is reduced, and the engineering safety is ensured.

The utility model discloses an integrated magnetic flocculation device system and relates to the technical field of water treatment devices. The device comprises a device shell, a central cylinder, a conical mud bucket, a water inlet pipe, a flocculant dosing pipe, a pipeline mixer, a gas inlet pipe for gas stripping, a coagulant aid dosing pipe, a water outlet pipe and a mud discharge pipe, according to the utility model, when water enters, a flocculant is added and mixed on a water inlet pipe by using a pipeline mixer, after water enters the magnetic coagulation area, compressed air is used as a power source for circulation and mixing, a coagulant aid is added above an air release port, supplementary magnetic powder is added to an upper opening of a central cylinder, and water subjected to magnetic coagulation reaction enters the precipitation separation area; when the magnetic coagulation reaction device is used, supernatant is collected by the water collecting tank and then discharged, precipitated sludge containing magnetic powder can slide into the conical sludge bucket to be treated again, redundant sludge is discharged through the sludge discharging pipe, the whole magnetic coagulation reaction and sludge-water separation treatment process is completed in one device, and an independent backflow system is not needed.

The utility model provides a biological nitrogen and phosphorus removal system for sewage, and relates to the technical field of sewage treatment. The system comprises an anaerobic zone, a denitrification anoxic zone, a low dissolved oxygen aeration zone, a solid-liquid separation zone and an equipment zone which are sequentially communicated along a sewage flowing direction, all biochemical areas in the system are operated at high sludge concentration; the anaerobic zone is connected with a water inlet pipe; the solid-liquid separation area is provided with a drainage pipe; and the equipment area comprises stirring equipment and dissolved oxygen providing equipment. According to the biological nitrogen and phosphorus removal system for the sewage, provided by the utility model, the organic matter intake capacity and phosphate release capacity of microorganisms in the anaerobic zone can be improved, and synchronous nitrification and denitrification and denitrification phosphorus removal reaction can be promoted in the denitrification anoxic tank to remove nitrogen and phosphorus; synchronous nitrification and denitrification and phosphorus accumulation reaction can be performed in the low-dissolved-oxygen aeration area, organic matter removal is realized, no additional carbon source is needed, the aeration intensity is small, the operation energy consumption is low, and the treatment effect is good.

The invention discloses a pneumatic sampling device and method for high-water-content muddy soft soil, and relates to the technical field of dredged sludge sampling devices.The pneumatic sampling device comprises a sampling cavity, a sampling opening is formed in the side wall of the sampling cavity, a flexible sampling container is arranged in the sampling cavity, and the opening end of the flexible sampling container faces the sampling opening; the valve plate is slidably connected to the outer side of the sampling opening; the gas transmission rod is fixed on the sampling cavity and is communicated with the interior of the sampling cavity; the gas path control mechanism is communicated with the interior of the sampling cavity through a gas transmission rod; the pneumatic driving part is arranged on the sampling cavity and is pneumatically connected with the gas path control mechanism, and the driving end of the pneumatic driving part is in transmission connection with the valve plate; wherein the pneumatic driving part can be driven by the gas path control mechanism to drive the valve plate to move to open or close the sampling port, and the gas pressure in the sampling cavity can be changed by the gas path control mechanism, so that the flexible sampling container expands to suck a soil sample, or the flexible sampling container contracts to discharge the soil sample.

The invention relates to the technical field of sludge treatment, in particular to a sludge drying intelligent control system and method based on the Internet of Things. The method comprises the following steps: constructing an Internet of Things monitoring network; the method comprises the following steps: performing periodic monitoring data acquisition by using an Internet of Things monitoring network, and performing multi-source data preprocessing to generate sludge state monitoring characteristic data; performing grid point moisture content value classification according to the sludge state monitoring characteristic data to generate sludge moisture content partition data; according to the sludge moisture content zoning data, zoning cooperative regulation and control treatment is carried out, and zoning cooperative regulation and control parameters are generated; and analyzing the risk that the odor exceeds the standard, and performing control instruction optimization on the zoned coordinated regulation and control parameters to obtain an odor linked intervention trigger signal so as to realize intelligent control of sludge drying. According to the invention, accurate regulation and control of water content and efficient treatment of odor in the sludge drying process are realized through an intelligent control technology, and the method can be widely applied to the drying treatment process in the fields of municipal sludge, industrial sludge and the like.

The invention discloses a modular combined organic solid waste horizontal aerobic fermentation tank, and relates to the technical field of fertilizer manufacturing, one side of a first end cover mechanism is sequentially connected with at least one group of fermentation mechanism, one side of the outer part of each group of fermentation mechanism is provided with a docking mechanism, and each fermentation mechanism comprises a fermentation tank, a heating cavity, a circulation insertion frame and an insertion groove. The modular combined design is adopted, the core fermentation unit is based on multiple fermentation mechanisms, the number of the fermentation mechanisms can be flexibly increased or decreased through the movable frame according to the actual treatment capacity requirement of organic solid waste, and the whole set of equipment does not need to be replaced; according to the invention, energy waste caused by idle large tanks during small and medium-scale treatment can be avoided, additional pipelines and control coordination cost for parallel connection of multiple small tanks during large-scale treatment can be saved, the system is adaptive to treatment scenes of organic solid wastes of different types and different scales such as municipal sludge, agricultural straws, kitchen garbage, livestock manure and the like, and the universality and application economy of equipment are improved.

The utility model provides a sludge deep dehydration filter press convenient for replacing a filter plate, which belongs to the technical field of filter presses and comprises a rack, a filter pressing component and a material taking component, a mounting plate is fixedly mounted at one end of the rack, and a thrust plate is mounted at the tail end of the rack; when the filter plate is dismounted, the mounting seat is controlled to slide on the surface of the transverse plate at the top of the supporting leg, the mounting seat slides to drive the electric push rod mounted on the surface to move, and the top block mounted at the telescopic end of the electric push rod corresponds to the sliding blocks mounted on the two sides of the filter plate frame; the top block drives the slide block to rise from the slide rail, so that the filter plate frame is taken out from the slide rail, and the filter plate in the filter plate frame is convenient to replace and clean.