15008 results about "Sludge" patented technology

In an intelligent pollution and carbon reduction method based on combustion control and load distribution, a data processing layer, a multi-unit load distribution and operation optimization layer and a single-unit boiler multi-objective combustion optimization layer are used. The data processing layer, the multi-unit load distribution and operation optimization layer and the single-unit boiler multi-objective combustion optimization layer are embedded in a power plant information system in the form of modules. A load distribution and operation optimization method for a multi-source fuel blending combustion unit with economy as an objective is provided to overcome the operation optimization difficulty of the key production process of a multi-source fuel blending combustion cogeneration unit, such as sludge drying-steam distribution.

The invention discloses a control system applied to an oil-water residue separator, relates to the technical field of equipment control, and constructs a closed-loop control architecture comprising a liquid level sensor, a physical property sensor, a data processing module, a control decision module and an execution module. According to the system, liquid level change trend and conductivity mutation characteristics are extracted, an emulsification interference prediction model is constructed, a discharge threshold value is dynamically corrected, discharge conditions are intelligently judged in combination with separation time logic, discharge operation of oil, water and slag is accurately controlled, the system effectively avoids mistaken arrangement in an emulsification state, the separation efficiency and the automation level are improved, and the system is suitable for large-scale popularization and application. And the operation stability and the environmental protection compliance of the equipment under a high-complexity working condition are obviously enhanced.

The invention provides a sewage treatment aeration control system and method based on multi-parameter collaborative optimization. The method comprises the following steps: acquiring multi-sensor data of COD (Chemical Oxygen Demand), BOD5 (Biochemical Oxygen Demand), DO (Dissolved Oxygen Demand), ammonia nitrogen, ORP (Oxidation Reduction Potential), pH (Potential of Hydrogen), water inlet flow and sludge concentration of wastewater in an aeration tank by utilizing a multi-parameter sensor module; according to the dynamic correction oxygen mass transfer coefficient and the feedforward parameter, establishing a relationship between the water inlet load and aeration; calculating the air volume of an air blower and the fine adjustment value of the opening degree of a butterfly valve through a PID control algorithm and feedback parameters, and correcting the aeration quantity to obtain a total air volume target value; and adjusting the opening degree and the rotating speed of a guide vane of the air blower according to the self-adaptive PID control parameters and the corrected total air volume target value by utilizing a self-adaptive PID controller, and adjusting the opening degree of a butterfly valve according to a gradient butterfly valve adjusting strategy. The output of the air blower is optimized by adopting self-adaptive PID, and the opening degree of the butterfly valve of each biological tank is dynamically adjusted through a gradient valve adjusting strategy, so that the accurate control of the aeration rate is realized; the sewage treatment effect is ensured.

The invention discloses an intelligent monitoring system for sewage treatment in the coal chemical industry, and relates to the technical field of sewage treatment.The intelligent monitoring system is characterized in that a water quality monitoring unit is used for collecting parameters such as COD, turbidity, pH and heavy metal ion concentration in real time, the change trend of water quality in a short time is predicted through a long-short term memory (LSTM) network, and then adding parameters of a flocculating agent are dynamically calculated; the defects of a fixed adding curve or artificial experience adjustment are overcome, so that the adding amount, the type and the speed of the flocculating agent can be adaptively adjusted to be matched with the change of sewage components; the addition optimization unit is combined with a CNN-LSTM model to analyze the rheological characteristics of the sludge, so that the addition of the flocculating agent adapts to the rheological change of the sludge, the flocculation effect is optimized, and the sludge settling performance is improved; meanwhile, the stirring control unit adjusts the stirring strength and time in real time based on ultrasonic online monitoring data, so that the flocculating agent is fully dispersed, the particle distribution state is optimized, the flocculation reaction is more uniform, and the subsequent precipitation separation efficiency is improved.

The invention relates to the technical field of sewage plant-oriented carbon neutralization regulation and control scheme design, in particular to a sewage plant-oriented carbon neutralization regulation and control method and a sewage plant-oriented carbon neutralization regulation and control system. The method comprises the steps of collecting water quality, energy consumption and gas emission data in real time through a multi-source sensor, inputting the data into a space-time diagram convolutional network to predict a carbon emission trend after edge computing node cleaning, and dynamically optimizing an aeration rate and a sludge reflux ratio based on a fuzzy PID controller. A whole-process carbon footprint is tracked by adopting a life cycle evaluation method, a multi-target compensation strategy is generated in combination with an improved NSGA-III algorithm, and photovoltaic, biogas and green power resources are scheduled preferentially. A digital twin platform and a block chain evidence storage module are innovatively integrated, the former calibrates model parameters in real time, and the latter generates a non-tampering carbon neutralization voucher. According to the method, the problems of one-sided data, regulation and control lag and insufficient credibility of a traditional method are solved, and minute-level sensing, prediction and offset closed-loop control of carbon emission in the sewage treatment process is realized.

The invention relates to the technical field of sewage treatment, in particular to a dynamic simulation method for a lake and reservoir sewage sludge deposition process. The method comprises the following steps: collecting lake and reservoir hydrological station data, carrying out abnormal value filtering and missing value completion, generating a complete hydrological sequence, carrying out water flow state subdivision to obtain flow state hierarchical data, reconstructing a multi-layer hydrodynamic field, forming a hydrological dynamic field set, carrying out suspended matter analysis, and obtaining a hydrological dynamic field model; the method comprises the following steps of: extracting sewage sludge data, deconstructing transportation characteristics of the sewage sludge data, generating transportation dynamic data, performing water body stress tensor decomposition to obtain stress distribution data, performing substance transportation simulation on a complete hydrological sequence by using the stress distribution data, establishing a multi-scale sedimentation dynamic model, acquiring water body sedimentation change data in real time, comparing the water body sedimentation change data with the model, and if inconsistency exists, judging whether the water body sedimentation change data is consistent or not. If yes, the model is finely adjusted in real time, and an optimized multi-scale deposition dynamic model is generated. The more accurate dynamic simulation method for the lake and reservoir sewage and sludge deposition process is achieved.

The invention discloses a culture method of anaerobic ammonia oxidation granular sludge with a polydopamine modified charcoal-loaded Fe-Cu sodium alginate microsphere kernel, which comprises the following steps: modifying charcoal by using polydopamine, then carrying out Fe-Cu ion loading, finally preparing sodium alginate microspheres, and taking the prepared sodium alginate microspheres as the kernel to prepare the anaerobic ammonia oxidation granular sludge with the polydopamine modified charcoal-loaded Fe-Cu sodium alginate microsphere kernel. And co-culturing the sodium alginate microspheres and activated bacillus DMF-4 in an oxygen-free environment, continuously culturing for 3 weeks, and collecting by using a gravity settling or centrifugal method to obtain the anaerobic ammonium oxidation granular sludge with the sodium alginate microsphere core. The sodium alginate microspheres serving as the core provide large density and good morphological support for sludge particles, the problem of sludge bulking is avoided, and the settling performance is improved. According to the present invention, the sludge anti-shearing performance is improved, the adsorption capacity of the slowly released and continuously slowly released iron ions on organic matters, ammonia nitrogen and heavy metals is enhanced, the sewage treatment effect is improved, and the iron ions are the biodegradable material so as not to cause secondary pollution in the use process.

The invention relates to the technical field of dredge pump performance analysis, and discloses a numerical simulation and model test-based dredge pump performance analysis method, which comprises the following steps of: planning an analysis process, and determining numerical simulation (dredge pump internal flow field simulation) and model test contents (actually measured performance data under different working conditions); determining working condition types according to design parameters and working conditions; generating a performance analysis process set and determining an execution sequence; generating a simulation parameter setting list and a test scheme list of each working condition; and associating the data to generate an overall scheme. The method further relates to working condition analysis boundary determination, working condition type subdivision, dynamic adjustment of the process, test rule optimization, database construction and the like. According to the method, comprehensive and accurate analysis of the dredge pump performance is achieved through multi-dimensional data integration and a dynamic mechanism, the analysis efficiency and reliability are improved, and the method is suitable for evaluation and optimization of the dredge pump performance.

The invention provides a sewage AI intelligent management and control system based on a neural network algorithm, which comprises multi-source data acquisition units, an algorithm processing unit and an execution feedback unit, and is characterized in that the multi-source data acquisition units are deployed at a water inlet and a water outlet of a sewage treatment assembly line and in a biological reaction tank; comprising a fast parameter detection array composed of a pH sensor, a conductivity sensor, a dissolved oxygen sensor, a turbidity sensor, a temperature sensor and an ORP sensor. The process state monitoring group consists of an aeration equipment rotating speed sensor, a reflux pump flowmeter and a sludge concentration meter; the fast parameter detection array and the process state detection group are connected with the edge computing node through an industrial bus, perform sliding window mean filtering preprocessing on original data, generate regulation and control instructions of aeration rate, reflux ratio and sludge discharge frequency through model calculation, and send the regulation and control instructions to the execution unit; the complete refined AI intelligent control sewage treatment system based on the neural network algorithm is realized.

The invention discloses a coal-based solid waste ecological restoration material and a preparation method thereof. The preparation method comprises the following steps: mixing coal gangue powder with a cementing material, a mineral activator and a physical pore-forming foam body, and curing to prepare a porous sandy soil matrix; and uniformly mixing the prepared porous sandy soil matrix with coal slime and a complex microbial inoculant, and performing fermentation and precipitation to obtain the coal-based solid waste ecological restoration material. Due to the addition of the cementing material, the strength of a sandy soil matrix framework is enhanced, collapse of pore channels in the crushing process is reduced, and the water retention and air permeability of the material are improved. Compared with traditional aluminum powder chemical foaming and strong acid foaming, the physical foaming technology adopted by the invention improves the operation safety while reducing the cost, and facilitates standardized production. Nutrient elements in the ecological restoration material can be fully released through the activation effect of the bacterium-fungus complex microbial inoculant. The ecological restoration material can be applied to environmental restoration fields such as mine soil restoration and land reclamation.

The invention discloses a rapid culture method of aerobic granular sludge, and belongs to the technical field of sewage treatment. According to the invention, pharmaceutical factory sludge is used as a raw material to prepare pharmaceutical factory sludge biochar; an SBR reactor is constructed and operates in a water inlet-anoxic-aeration-precipitation-drainage mode, and pharmaceutical factory sludge biochar is added in the sludge inoculation process to promote rapid formation of system particles and stable operation. According to the method disclosed by the invention, the mature aerobic granular sludge with the capabilities of removing organic matters and synchronously denitrifying can be obtained by culturing for 30 days on average, so that the granulation process of the sludge is effectively improved, the forming time of the aerobic granular sludge is remarkably shortened, and the aerobic granular sludge has higher long-term operation stability.

The air supply type jet aerator comprises a water inlet pipe, one end of the water inlet pipe is connected with an air inlet unit through a first connecting pipe, and the end, away from the first connecting pipe, of the air inlet unit is connected with a second-stage mixing pipe through a second connecting pipe; the end, away from the second connecting pipe, of the second-stage mixing pipe is connected with a third-stage mixing pipe through a third connecting pipe, the end, away from the third connecting pipe, of the third-stage mixing pipe is connected with a spray head through a fourth connecting pipe, the inner wall of the water inlet pipe is connected with a loop assembly, and the inner wall of the second-stage mixing pipe is connected with a contraction unit. And the inner wall of the third-stage mixing pipe is connected with a turnover crushing mechanism. The invention also discloses a jet aeration method of the air supply type jet aerator with porous air inlet and compression circulation. The air supply type jet aerator solves the problem that the existing air supply type jet aerator is easy to cause sludge bulking.

Disclosed in the present invention is a process for deeply removing fluorine from wastewater by means of an induced crystallization method in sludge backflow. The process comprises the following steps: step 1. placing lime powder and deionized water in a seed crystal reactor to prepare lime milk and at the same time putting a calcite seed crystal into the seed crystal reactor; step 2. introducing high-concentration fluorine-containing acidic wastewater into a reactor; and step 3. introducing the lime milk obtained in step 1 into the reactor in step 2 to undergo a reaction, wherein during the reaction, the pH value of the mixed solution is controlled to remain neutral. The present invention is based on a high-density sludge method (HDS process). By utilizing the HDS process, the advantages of effectively improving the sludge density, reducing the lime consumption, facilitating the operation, and enabling the water quality of an effluent to be more stable are realized. In conjunction with induced crystallization technology, an induced crystallization process in a high-density sludge backflow is formed to promote precipitation and crystallization and allow sedimentation to proceed quickly, thereby shortening the process time and overcoming the defects of traditional lime precipitation methods.

The invention provides a nitrogen oxide incineration equipment control method for drying carbonization, which comprises the following steps: acquiring combustion characteristic data of high-humidity sludge blocks in a fluidized bed incinerator, and extracting nitrogen oxide peak intensity, occurrence time, duration and peak shape steep degree to obtain a parameter set; real-time load data of the induced draft fan are obtained, the hearth negative pressure stability fluctuation range is analyzed in combination with the adjustment value, and if fluctuation exceeds a preset safety range, the load adjustment amplitude of the induced draft fan is calculated, and a load adjustment curve is generated; a multi-actuator cooperative control time sequence model is constructed based on the load adjustment curve and the adjustment value, the nitrogen oxide peak generation time and the duration are fused, the cooperative adjustment time sequence of secondary air supply and the draught fan load is calculated, and a control instruction is generated; and a control instruction is transmitted to a fluidized bed incinerator executing mechanism, the opening state of the tuyere and the air volume ratio are adjusted, the load of the induced draft fan is updated, and the adjusted hearth operation parameters are continuously monitored.

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 process and system for recovering phosphorus and fluorine from ardealite leachate, which comprises the following steps: feeding the ardealite leachate into an induced crystallization reactor for induced crystallization, discharging generated large-particle fluorapatite crystals from a crystal discharge port at the bottom of the induced crystallization reactor, and collecting and recycling; aluminum hydroxide flocs and fine-particle fluorapatite crystals enter a cyclone separator along with the effluent, the fine-particle fluorapatite crystals are separated and then flow back to the induced crystallization reactor, the aluminum hydroxide flocs form precipitates in the flocculation sedimentation tank through flocculation to be removed, and the effluent of the flocculation sedimentation tank enters a multi-stage treatment system. According to the method disclosed by the invention, fluorine and phosphorus in the phosphogypsum leachate are recovered together, the recovered fluorapatite finished product is high in purity and can be recycled, and the amount of chemical sludge is also greatly reduced, so that the treatment cost of the sludge is reduced.

The invention discloses an intelligent control method and system for muddy water treatment of a muddy water shield tunnel, and relates to the technical field of muddy water treatment.The method comprises the steps that physical characteristic data and chemical characteristic data of muddy water are collected in real time, preliminary treatment is conducted through edge computing nodes, and standardized muddy water characteristic data flow is output; carrying out preliminary screening operation on muddy water according to an intelligent separation strategy, and screening out medium-particle impurities; through self-adaptive dynamic vortex regulation and control, the muddy water rotational flow speed and the muddy water pressure are regulated, and medium particle impurities are subjected to rotational flow separation; carrying out deep separation treatment on medium-particle impurities subjected to cyclone separation, and outputting clear water and deposited mud cakes; clear water flows back to the shield tunneling machine through pumping equipment to be recycled, and deposited mud cakes are subjected to dehydration treatment. According to the invention, medium particle impurities are accurately separated according to the change of muddy water characteristics by utilizing a regulation and control method of dynamically adjusting the rotational flow speed and pressure, so that the muddy water separation efficiency is effectively improved, and the energy consumption is reduced.

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 mixing and feeding electric control system with a liquid level sensing function, and relates to the field of control systems. An adaptive parameter configuration module; a multi-stage gradient stirring module; a real-time data twinning processing module; a remote cooperative monitoring module; a fault linkage processing module; and an energy-saving closed-loop control module. According to the system, the material characteristic pre-detection module is combined with the water content-viscosity-medicament dosage three-dimensional mapping table and the viscosity-rotating speed mapping table, so that real-time scanning and parameter quantitative matching of the granularity, the water content and the viscosity of the industrial waste are realized; according to the scheme, the stirring sufficiency of the high-viscosity industrial sludge is improved, the energy consumption of the low-viscosity material is reduced, the dosage of the medicament is automatically matched according to the three-dimensional mapping table, the utilization rate of the curing agent is improved, and the core problems of stirring waste and insufficient stirring are fundamentally solved.

The invention relates to a method and a system for determining the elevation of an offshore wind turbine foundation scouring analysis datum plane, and the method comprises the steps: carrying out three-dimensional modeling through seabed three-dimensional point cloud data, analyzing the thickness of shallow sludge through high-frequency and low-frequency sounding data, and obtaining stratum distribution through combining with shallow profile data; calculating a theoretical scouring depth based on the water flow data, and reconstructing a three-dimensional grid data model; calculating and screening a suitable area through a terrain gradient factor, and constructing a seabed base plane calculation data set; and calculating the average elevation of each fan basic area as the datum level elevation of scouring analysis. According to the method, refined reconstruction of the regional landform of the offshore wind turbine foundation is realized, the accuracy and scientificity of determining the elevation of the reference surface are improved, reliable data support is provided for stability evaluation and design optimization of the offshore wind turbine foundation, the structural safety risk caused by scouring is remarkably reduced, and the economic benefit is improved. And the overall safety and economic benefits of the offshore wind power plant are improved.

The invention discloses composite modified pig manure and sludge biochar, relates to the technical field of modified biochar, and mainly comprises pig manure and sludge. The invention also provides a preparation method of the compound modified pig manure and sludge biochar, pig manure and sludge are mixed and pyrolyzed to prepare the pig manure and sludge biochar, and the pig manure and sludge biochar is modified by sulfuric acid and a magnesium chloride solution to prepare the compound modified pig manure and sludge biochar. According to the composite modified pig manure and sludge biochar provided by the invention, pig manure and sludge are subjected to carbonization modification through a composite modification technology, so that heavy metal cadmium pollution is efficiently removed, and meanwhile, a new way is provided for resource utilization of organic wastes.

The invention relates to the technical field of sewage control, in particular to a control method and system of sewage treatment equipment and a medium. The method comprises the following steps: arranging a buffer cavity made of a flexible material at the water inlet end of sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow, and a flexible buffer cavity volume dynamic adjustment strategy is obtained; if the flexible buffer volume dynamic adjustment strategy executes the volume adjustment of the buffer cavity, evaluating the water outlet stability degree of the buffer cavity to obtain buffer effect evaluation data; a miniature electromagnetic valve is used for controlling the inlet opening degree of a reactor unit in the sewage treatment equipment, and the water inlet flow of the reactor unit is controlled to be balanced; and adjusting the porosity of the reactor unit partition plate to realize dynamic control and adjustment of sludge sedimentation. By dynamically adjusting the volume of the buffer cavity, water inlet flow fluctuation is effectively buffered, fine control over sludge sedimentation is achieved, and the impact resistance and operation stability of sewage treatment equipment are remarkably improved.

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.

The invention belongs to the technical field of wastewater denitrification treatment, and particularly relates to an anaerobic ammonia oxidation reaction-based integrated partitioned denitrification method which comprises the following steps: S1, removing high-concentration organic matters and suspended matters in wastewater through coagulating sedimentation or chemical oxidation pretreatment to avoid inhibition on subsequent Anammox; s2, partitioning the integrated reactor, and setting a short-cut nitrification region and an Anammox reaction region; s3, enabling the effluent part of the Anammox reaction zone to flow back to the short-cut nitrification zone, supplementing nitrite and balancing the carbon nitrogen ratio; the Anammox granular sludge flows back to the reaction zone through the settling zone, and the biomass concentration and the reaction efficiency are maintained; s4, a secondary sedimentation tank or a built-in sedimentation zone is arranged to achieve mud-water separation, residual sludge is discharged, and it is guaranteed that effluent reaches the standard, and it is guaranteed that the denitrification efficiency is stable by dynamically adjusting dissolved oxygen of the short-cut nitrification zone and the pH value of the Anammox reaction zone.

The invention discloses an automatic control system and method for sludge treatment, and relates to the technical field of sludge treatment, an environment state feature vector F is collected in real time through an integrated sensor, an odor concentration prediction result vector Cpred at different time points in the future is calculated based on a dynamic odor diffusion prediction model, and then the concentration trend is predicted in combination with the prediction result vector Cpred. The decision vector D of the addition amount of the additive is dynamically adjusted, the limitation that in the prior art, addition control is conducted only depending on real-time odor concentration feedback is broken through, and the problem of addition lag is effectively solved through combination of the Gaussian plume diffusion model and the time sequence prediction method. Meanwhile, benefit index E evaluation is carried out through the adjusted concentration vector Cafter and the odor concentration change vector Gafter, so that the addition strategy is optimized based on the concentration change trend, factors such as the use cost of an auxiliary agent and the odor diffusion stability are fully considered, and the defect that the deodorization effect and the cost are difficult to balance by the addition amount in a traditional method is overcome.

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 relates to the technical field of municipal sludge treatment, in particular to a method for recycling nitrogen and phosphorus elements from municipal sludge. According to the method, the municipal sludge is subjected to hydrothermal carbonization treatment, the treated solid-phase product is dried and ground to a specific particle size, the solid-phase product is subjected to acid leaching under a specific condition to extract the phosphorus element, and then heavy metal and metal elements such as Al and Fe in the acid leaching liquid are removed by adopting strong-acid ion exchange resin and a chemical precipitant, so that the phosphorus element is obtained. And finally, mixing the struvite with a hydrolyzate which is subjected to hydrothermal carbonization treatment and is rich in ammonia nitrogen, and precipitating by adjusting the element proportion and the pH value to obtain a solid-phase product struvite crystal. According to the method, external nitrogen-containing substances do not need to be added, the content of heavy metal in the solid-phase product struvite can be effectively reduced, the recovery rate of phosphorus can reach 93% or above, the recovery rate of ammonia nitrogen can reach 63% or above, the recovery rate of nitrogen and phosphorus is high, energy consumption is low, and the treatment cost is low.

The invention relates to a method for recycling sludge, in particular to a method for enhancing efficient release and recycling of carbon and phosphorus in sludge in a gradient mode. According to the method for stepwise strengthening efficient release and recycling of carbon and phosphorus in sludge, the release efficiency of phosphorus in different occurrence forms in the sludge is improved in a targeted mode, efficient release of inorganic phosphorus and organic phosphorus is achieved through the synergistic effect of multiple steps, meanwhile, efficient release and recycling of carbon are synergistically improved, and the method has the beneficial effects of improving the utilization rate of carbon and phosphorus in sludge and improving the utilization rate of carbon and phosphorus in sludge. The method is used for improving the overall resource recycling efficiency of carbon and phosphorus in the excess sludge and comprises the following steps: 1, pretreating the sludge; 2, pre-treating the green chelating agent to intensify the release of inorganic phosphorus; 3, recovering inorganic phosphorus; 4, resuspending the sludge; 5, strengthening sludge solubilization and hydrolysis by using a peroxidant; 6, anaerobic recycling; 7, recycling carbon and phosphorus resources; the recovery process is simple and convenient, the loss rate is low, the phosphorus recovery rate can reach 80%-99.5%, the acid production efficiency is improved by 14 times or more, and the method has remarkable advantages.

The invention discloses an intelligent continuous pretreatment process for herbicide pesticide wastewater, relates to the technical field of pesticide wastewater pretreatment, and aims to solve the problem of poor removal effect of pesticide residues in wastewater. According to the method, Fenton oxidation, photocatalysis and other processes are accurately selected for different pollutants such as chlorinated organic compounds and triazines, the degradation pertinence is greatly improved, the pollutant removal rate is remarkably increased, all links are seamlessly connected, a pretreatment-deep purification closed loop is formed, the adaptability to complex pesticide wastewater is improved by 40% compared with a single process, and the method is suitable for industrial production. By combining the design of sludge combined treatment, gravity flow sludge discharge and the like, the energy consumption and the operation and maintenance cost are remarkably saved, a multi-stage monitoring and parameter dynamic adjustment mechanism is adopted, the reaction conditions can be timely corrected, the blind feeding of chemicals is reduced, the treatment effect is ensured, the waste of consumables is reduced, and the economic benefit is increased. Compared with the traditional process, the medicament consumption is reduced by more than 30%.