4251 results about "Treatment unit" patented technology

The invention discloses an intelligent regulation and control method and system for sewage treatment and a program product, and relates to the technical field of sewage treatment.The method comprises the steps that a multi-modal water quality sensing network is constructed, and sewage quality parameter information and overall treatment target numerical value information are obtained; according to the equipment operation state and the overall treatment target numerical value information, sewage treatment process parameters are generated, and treatment units in the sewage treatment system are distributed in a plurality of areas; triggering a process regulation and control instruction according to the sewage treatment process parameters and the overall treatment target numerical value information; obtaining partition processing effect detection information, and comparing the partition processing effect detection information with the corresponding index value to obtain a partition difference value; if the partition difference value exceeds a preset change threshold range, triggering a partition self-adaptive regulation and control updating instruction; obtaining partition adjustment parameter information according to the partition self-adaptive regulation and control updating instruction; and triggering an adjustment instruction. The invention provides an intelligent regulation and control method based on multi-dimensional perception and adaptive decision.

A process system and process method for treating hydrogen sulfide-containing acid gas. The process system comprises a sulfur recovery unit, a tail gas treatment unit having an acid gas concentration function, and a flue gas alkaline scrubbing unit. The method comprises: subjecting sulfur-containing tail gas to concentration treatment by means of an absorption column (1) of the tail gas treatment unit, and then introducing same into the sulfur recovery unit to undergo a Claus reaction for separation, so as to obtain sulfur and sulfur recovery tail gas; introducing the sulfur recovery tail gas into the tail gas treatment unit, successively carrying out combustion and hydrotreating, and introducing the obtained gas into the absorption column (1) of the tail gas treatment unit; and in the tail gas treatment unit, introducing gas absorbed by the absorption column (1) into the flue gas alkaline scrubbing unit, and successively carrying out incineration and alkaline scrubbing, so as to discharge desulfurized gas. The content of SO2 in the tail gas treated by the process system is ≤50 mg / Nm3, and the requirements for full-period standard reaching of sulfur dioxide emission of tail gas during startup, shutdown and normal operations can be satisfied.

The invention discloses a multi-heat-source coupling heat pump control system for recycling waste heat of industrial circulating cooling water, which comprises the following steps: monitoring key parameters of various heat sources in real time through an environment sensing module, screening and preprocessing through a data processing unit, screening out a heat source set suitable for the current condition, and sending the heat source set to a control module; the recovery potential and the use efficiency of the heat source are evaluated by utilizing an adaptive learning model, the use priority and the distribution proportion of the heat source are intelligently determined in combination with real-time load change, and the working time and the switching time of the heat source are dynamically adjusted by adopting a heat source time window distribution mechanism. The operation parameters and the heat source coupling mode of the heat pump are optimized through the intelligent complementary adjusting module, the heat recovery path is dynamically adjusted through the autonomous temperature control unit, the scheduling strategy and the operation mode of the heat source are optimized through the self-adaptive feedback mechanism and the intelligent learning module, and the adaptability and the energy-saving effect of the system are improved. According to the system, efficient cooperative utilization of multiple heat sources is achieved, and the heat recovery efficiency and the system stability are improved.

The invention relates to the technical field of waste gas treatment, and discloses a digital twinning-based waste gas treatment intelligent early warning system, which comprises a model construction module, a monitoring module, a factor extraction module and the like. The model construction module constructs a dynamic risk model and a three-dimensional concentration field model based on waste gas components and equipment operation state data, and simulates and optimizes parameters in combination; the monitoring module generates a prediction table containing risk indexes and regulation and control parameters; the factor extraction module identifies risk association variables; the evaluation module calculates a risk accumulation index; the adjusting module updates the prediction table in sequence; and the early warning execution module triggers an alarm. The system is also provided with an instruction processing unit for realizing conflict detection and priority management. The system improves the accuracy of risk early warning and the intelligent level of regulation and control, is suitable for industrial waste gas treatment scenes, and guarantees the treatment efficiency and safety.

The invention provides a flow-state solidified soil mixing construction method based on automatic adjustment of proportioning parameters, belongs to the technical field of flow-state solidified soil, and realizes intelligent control of a flow-state solidified soil mixing process by establishing a three-section type precise screening and stirring system and a high-precision automatic control system. According to the method, firstly, target performance parameters are input, and an optimal matching scheme is automatically selected through a multi-target optimization algorithm; starting an original soil treatment unit to perform soil material dispersion treatment and measuring the physical characteristics of the soil material; adding the raw materials according to the accurate measurement, and fully mixing; when it is detected that the performance of the mixture deviates from a target value, the system automatically triggers a parameter compensation mechanism for adjustment; and meanwhile, a material ratio fluctuation early warning system is established, so that uneven mixture quality caused by starting and stopping of equipment or material conveying delay is avoided, and the technical problem that in the prior art, matching parameters are difficult to accurately regulate and control in real time in the mixing process of the flow-state solidified soil is solved.

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 relates to the technical field of membrane bioreactors, and discloses an integrated sewage treatment membrane bioreactor and a sewage treatment method. The reactor comprises a treatment pond, a pretreatment unit and a membrane treatment unit are arranged in the treatment pond, the membrane treatment unit comprises a support, a pump body is fixedly installed at the top of the treatment pond, a channel is formed in the support, and the extraction end of the pump body is communicated with the channel through an extraction pipe. According to the invention, the root of a membrane filament can be clamped by a pair of moving clamping plates after the membrane filament is broken, so that the membrane filament is closed after being broken, sewage is prevented from entering the membrane filament without being filtered by filter holes and polluting the whole membrane treatment unit, the clamping plates can be protected, impurities are prevented from being accumulated on the surfaces of the clamping plates, and the service life of the membrane treatment unit is prolonged. And protection on the clamping plates can be cancelled during use, so that the clean clamping plates are exposed outside, the subsequent clamping plates cannot be influenced by impurities when clamping and sealing membrane filaments, and the sealing effect on the membrane filaments is better.

The invention relates to the technical field of water quality prediction, and discloses an industrial sewage water quality real-time prediction and early warning method and system. According to the method, the depth features of the internal treatment process state of each water quality treatment unit are extracted, so that the problem that the prediction precision of a prediction model is limited due to the fact that the internal deep features cannot be excavated in a traditional method is solved; a migration rule and a response relation of pollutants between every two adjacent water quality treatment units are analyzed through real-time water quality parameters, so that a water quality flow association graph with the water quality treatment units as nodes, pollutant migration paths as edges and cross-unit association strength as edge weights is constructed; the driving effect of the water quality change of the upstream water quality treatment unit on the treatment effect of the downstream water quality treatment unit is quantified, the accurate quantification of the cross-unit dynamic linkage effect is realized, and the problem that the linkage effect is caused by neglecting the transfer and conversion of pollutants among the water quality treatment units in the prior art is solved. Therefore, the water quality prediction accuracy is 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 provides a sewage treatment detection method and system with a diagnosis function, and the method comprises the steps: firstly receiving multi-source detection data which is uploaded by each treatment unit in a sewage treatment process and comprises sewage pollutant component data, treatment equipment operation parameter data and flora activity data in a reaction tank; performing cross-unit association mapping processing on the multi-source detection data to generate a substance transformation association network among processing units, constructing a dynamic balance model of the sewage treatment system based on the network, inputting the multi-source detection data acquired in real time into the model, analyzing abnormal association nodes deviating from a balance state and corresponding abnormal influence factors, and determining the abnormal association nodes and the corresponding abnormal influence factors; and finally, generating a diagnosis report containing an abnormal processing path and an equipment regulation and control instruction according to an analysis result, thereby accurately positioning a problem source of the sewage treatment system, timely adjusting equipment parameters to recover system balance, and improving the processing efficiency and stability.

The invention discloses a spray drying device for boron carbide production, the spray drying device comprises a spray drying tower, a hot blast stove, a cyclone separator and a system controller, an atomizer and an online detection module are arranged in the spray drying tower, and the online detection module is used for monitoring temperature parameters in the spray drying process; comprising a first temperature sensor, a second temperature sensor and a temperature signal processing unit, the temperature signal processing unit adopts a multi-stage filtering and error compensation technology, noise and interference are effectively suppressed, and the accuracy of detection data is ensured. The air inlet temperature and the air outlet temperature are monitored in real time through the online detection module, the fuzzy-PID control algorithm is combined, the temperature control precision and the response speed are remarkably improved, and temperature fluctuation is reduced. The device dynamically adjusts the heating power of the hot blast stove according to real-time working conditions, the energy utilization efficiency is optimized, and the energy consumption is reduced.

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 treatment, and relates to an intelligent wastewater treatment system which is characterized in that wastewater is purified stage by stage through a multi-stage treatment module, water quality parameters are detected in real time by using a water quality detection and sorting module, and pollution types are accurately identified by combining correlation calculation and a feature vector matching algorithm; the substandard wastewater is stored in a partitioned manner according to pollution types through an intelligent buffer storage module, and an electric partition plate is linked based on a dynamic capacity adjustment formula to realize self-adaptive adjustment of the cavity capacity; and the wastewater reflux judgment module compares the rechecked pollution type with the initial type, and dynamically matches the reflux path of the treatment unit corresponding to the pollution type. The problems that secondary reaction is easily caused and dynamic change of pollution types cannot be handled due to extensive identification of the pollution types and mixed storage in a buffer chamber in a traditional process are solved, the pollution types are accurately judged through wastewater backflow reinspection and dynamic partition storage, and the judgment accuracy and the treatment efficiency are improved.

The invention relates to the field of water treatment, and discloses an MBBR suspended filler biological membrane thickness monitoring and control system which is mainly composed of a suspended filler biological membrane thickness monitoring module, a suspended filler biological membrane thickness early warning module and a suspended filler biological membrane thickness control module. According to the monitoring module, a suspended filler biological membrane picture obtaining unit obtains a biological membrane picture in real time through an online monitoring device; the picture processing unit processes the picture to obtain the thickness of the biological membrane as monitoring data; the thickness analysis unit further analyzes based on the data; the early warning module is used for judging whether the thickness of the biological membrane is abnormal or not, and giving out early warning if the thickness is abnormal; 2, judging whether the growth or shedding rate of the biological membrane is normal or not, and giving out early warning if the growth or shedding rate is abnormal; and the control module combines monitoring data of the monitoring module and an early warning signal of the early warning module to precisely control the opening degree of an automatic control valve of the aeration module in the MBBR pool, so that the thickness of a biological membrane is kept in an optimal range, and efficient and stable operation of a water treatment system is guaranteed.

The invention discloses container type sewage treatment equipment and a container type sewage treatment process, relates to the technical field of sewage treatment, and solves the technical problem that hard particle impurities are blocked in filtering holes and are difficult to effectively remove, so that the filtering efficiency is influenced. Comprising a container and a treatment unit on the top of the container, a fence is installed in the container and divides an inner cavity of the container into a precipitation cavity and a filtering cavity, a guide pipe connected with the treatment unit is installed at the position, close to the bottom end, of the fence, an overflow mechanism is installed between the precipitation cavity and the filtering cavity, and a transverse plate is installed between the cavity walls, close to the bottom end, of the filtering cavity; a plurality of filtering pieces are rotationally mounted on the transverse plate, anti-blocking mechanisms for dredging the filtering pieces are arranged in the filtering pieces, and shifting mechanisms for driving the filtering pieces to rotate at equal intervals are mounted at the tops of the filtering pieces. The filtering holes in the filtering piece can be conveniently dredged in sequence, so that hard blockages clamped in the filtering holes can be conveniently and effectively removed, and the filtering efficiency of sewage can be ensured.

The invention discloses a waste gas treatment device for a chemical plant, and belongs to the technical field of waste gas treatment. In order to solve the problem that filler balls in a filler layer are difficult to orderly adjust in the prior art, the technical scheme is provided as follows: the device comprises a spray tower and a circulating water tank arranged at the bottom end of the spray tower, and a circulating water pump used for circulating flow of treatment liquid is mounted at the top of the circulating water tank. The waste gas treatment unit is arranged in the spray tower, and an inner sleeve in the filler layer mechanism drives a paving plate to move under the action of the driving mechanism, so that filler balls arranged in the filler layer mechanism are disturbed, the filler balls are efficiently and comprehensively rearranged in the filler layer mechanism; the adjusting piece is driven to move in the moving process of the inner sleeve, so that the hollow cover is extruded, reciprocating motion of the knocking piece is achieved under the action of the reset spring, rearrangement of the filler ball in the filler layer mechanism is assisted under the action of the knocking piece, and cleaning of impurities is accelerated.

The invention discloses a shallow hidden fire area radon gas in-situ tracing accurate identification and definition prevention and control system, belongs to the technical field of mine fire prevention and control, and aims to construct a dynamic monitoring, accurate delineation and targeted plugging multi-cooperation closed-loop governance chain and an in-situ radon detection and identification monitoring unit. Drilling, cup burying and sampling integrated operation is completed, and a radon gas concentration abnormal signal is monitored in real time; the radon measurement magnetic method fire area precise delineation unit is used for quantitatively delineating a fire source prevention and control area in a grading manner by fusing a radon gas magnetic field two-parameter ring type measurement network layout and combining an intersection and union set abnormal area division method and a comprehensive abnormal index threshold value method; according to the earth surface crack self-adaption blocking treatment unit, a dynamic shoveling solidified slurry precise blocking device is adopted, and efficient treatment of the shallow buried coal seam hidden fire area is achieved by separating an earth surface and an underground air leakage channel through bucket prepared soil screening and conveying, instant slurry preparation through a synthesis system, directional slurry spraying through a blocking mechanism and crawler belt ballasting dense blocking.

The invention particularly relates to printing and dyeing wastewater advanced treatment equipment and a method thereof. The equipment comprises a pretreatment unit, an electrolysis unit, a pH regulation unit, a post-treatment unit and a comprehensive monitoring unit, the pretreatment unit comprises a physical filtering device and an advanced oxidation pretreatment device and is used for removing suspended solids and macromolecular organic matters; the electrolysis unit is provided with a current control module and a salinity adjusting module and is used for degrading organic pollutants and disinfecting and sterilizing; the pH adjusting unit is provided with a pH sensor and a pH correction pump and is used for accurately controlling the pH value change in the treatment process; the post-treatment unit comprises an ultrafiltration membrane and activated carbon and is used for removing residual micromolecular organic matters and trace heavy metal ions; the comprehensive monitoring unit integrates a PLC controller, a data acquisition module and a communication interface, and is used for realizing automatic management and remote monitoring of the system.

The invention provides a low-carbon circulating technological process for treating high-total-nitrogen wastewater. A main treatment unit and a resource recycling and circulating unit are included; the main treatment unit is characterized in that high-total-nitrogen wastewater sequentially passes through a pH regulating tank, a sulfur autotrophic denitrification tank, a biochemical system, a secondary sedimentation tank, a deep treatment line and ultrafiltration reverse osmosis, produced reclaimed water enters produced water for delivery, and a part of produced concentrated water enters a resource recovery and circulation unit; the resource recovery and circulation unit is characterized in that after concentrated water is treated by a vertical electrophoresis device, mixed acid, mixed alkali and low-salt water are separated out, the mixed alkali is sent to a sulfur autotrophic denitrification tank to be used for supplementing alkalinity consumption of the sulfur autotrophic denitrification system, and the mixed acid sequentially passes through an anaerobic regulating tank, an anaerobic reactor, an alkali washing tower, a biological desulfurization reactor and a sedimentation tank; the recovered sulfur can be sold as elemental sulfur or reused in the sulfur autotrophic denitrification tank, and supernate flows back to the alkaline tower; a green, low-carbon and recyclable water treatment process flow is realized.

The invention provides a large-size fan blade double-heat-transfer-mode microwave pyrolysis system and method.In the system, ceramic chips inlaid with SiC wave-absorbing agents are arranged on the surface of a conveying belt of a material conveying unit, and a tunnel type microwave pyrolysis reactor utilizes microwaves to conduct microwave pyrolysis on the large-size fan blade under the assistance of the ceramic chips inlaid with the SiC wave-absorbing agents; the pyrolysis unit is used for pyrolyzing fan blade materials conveyed into the material conveying unit by the material conveying unit; the pyrolysis gas treatment unit is used for purification-fractional condensation and collection of organic components; and the glass fiber treatment unit realizes carbon residue separation and low-loss recovery of glass fibers through ultrasonic infiltration. The problems that waste fan blades are difficult to recycle, performance degradation of recycled glass fibers is serious, and recycling benefits are low are solved, the requirement for continuously preparing high-strength glass fiber products and co-producing liquid oil through large-size retired fan blades can be met, and microwaves can be driven through wind power generation; and a gas device is additionally arranged to supply partial energy to the system, so that the resource recovery rate and the energy utilization rate are greatly improved.

The invention discloses a sewage treatment plant effluent prediction method based on multi-task learning. The method comprises the following steps: acquiring sewage treatment data; based on the sewage treatment data, establishing an effluent prediction model; the input of the effluent prediction model is inflow water quality data, process data, environmental data and sewage treatment unit data, and the output of the effluent prediction model is predicted effluent index data; predicting the water outlet index data in future time based on the water outlet prediction model and the input of the water outlet prediction model; according to the method, the water outlet prediction model is constructed in combination with multi-task learning, and the model can comprehensively consider the time sequence dependence and mutual influence relationship among the input data to perform prediction, so that the calculation redundancy is reduced, and the prediction demand that an actual process needs to cooperatively consider multiple targets is met; the effluent quality prediction precision and the process regulation and control efficiency are remarkably improved, and a solid foundation is laid for promoting intelligence of operation management of a sewage treatment plant.

The invention provides a Texaco gasification device corrosion problem analysis method, which comprises the following steps: selecting key monitoring points to monitor the corrosion condition of a target device, installing intelligent sensors at the points, collecting operation data in real time and transmitting the operation data to a central processing unit; analyzing the data, identifying an area possibly having a corrosion risk and an abnormal change trend, and determining a suspected corrosion area; carrying out deep detection on the areas to obtain detection data; detection data, equipment operation data and maintenance records are encrypted and stored, so that the authenticity, non-tampering and traceability of the data are ensured, and a reliable basis is provided for subsequent analysis and decision making; and in combination with an intelligent manufacturing technology, operation parameters and maintenance plans of the device are optimized according to a corrosion analysis result, and accurate analysis and effective prevention and control of corrosion problems are realized. By means of the scheme, accurate analysis and effective prevention and control of the corrosion problem of the Texaco gasification device are achieved, and the overall equipment management level and safety are improved.

The invention discloses a system for mineralizing carbon dioxide by micro-nano bubble reinforced base solid waste and an application method.The system for mineralizing carbon dioxide by micro-nano bubble reinforced base solid waste comprises a micro-nano bubble generation and injection unit, a mineralization reaction unit and a circulating water treatment unit, the micro-nano bubble generation and injection unit comprises a micro-nano bubble generation device, a gas supply pipeline and a water supply pipeline, the mineralization reaction unit comprises a mineralization reactor, and a quartz sand filling layer and a nylon screen are arranged at the bottom of the mineralization reactor. Through the multi-unit integrated coupling design, the micro-nano bubbles are creatively utilized to strengthen the gas-liquid-solid three-phase synergistic reaction process, the column type filling structure and the sectional type reaction mechanism are combined, the carbon dioxide mass transfer efficiency and the mineralization reaction rate are effectively improved, and the system has the advantages of being high in system adaptability, stable in continuous operation, flexible in module deployment and the like; the method is suitable for efficient treatment of alkaline solid waste and carbon dioxide sequestration collaborative scenes, and has good engineering popularization prospects and resource utilization value.

The invention discloses an indoor water tank sediment pushing characteristic acquisition system and method, the system mainly comprises a water tank main body, a buffer unit, a drainage adjusting unit, a sediment throwing device, an imaging unit, an adjustable support and a data processing unit, and according to the method, non-contact data acquisition is carried out through a high-definition camera and a three-dimensional terrain measuring instrument; automatic identification, parameter extraction and migration speed calculation of landforms such as sand waves are achieved, the sediment bed surface is not touched in the whole process, damage to the bed surface form caused by traditional contact type measurement is eliminated, and the authenticity and reliability of data are ensured. Meanwhile, the buffer design of the combination of the flow slowing plate and the multi-stage water baffle is adopted, the kinetic energy of water flow is effectively dissipated through the graded water outlet structure, the impact force of injected water flow is greatly reduced, the bed surface is prevented from being scoured in the initial water injection stage, and the stability of the initial test condition is powerfully protected.

The invention relates to an air conditioner temperature and humidity independent control system and method based on two-stage coil chilled water. On the basis of the existing chip plant temperature and humidity independent control based on a fresh air processing unit, a return air drying and cooling coil and a fan filtering unit, low-temperature chilled water outlet of a water chilling unit firstly passes through a fresh air re-cooling coil; return water obtained after the temperature of the fresh air re-cooling coil pipe rises serves as water supply of the fresh air pre-cooling coil pipe and the return air cooling dry coil pipe, so that two-stage coil pipe chilled water is formed, and the return water of the fresh air pre-cooling coil pipe and the return water of the return air cooling dry coil pipe are mixed and then serve as chilled water return water of the water chilling unit. By increasing the return water temperature of the water chilling unit, the average evaporation temperature of an evaporator of the water chilling unit is increased. A bypass is arranged between an inlet and an outlet of the return air cooling dry coil, and the air temperature in the plant is controlled by adjusting the bypass flow through an electric two-way adjusting valve and a PID controller. Compared with the prior art, the invention has the advantages of high unit energy efficiency ratio, low refrigeration energy consumption, simplified system and the like.

The invention relates to a carbon dioxide capture integrated system which comprises a carbon dioxide lean flue gas rear-end treatment unit, a carbon dioxide rear-end treatment unit and a plurality of integrated modules connected in parallel, the integrated module comprises at least one reactor, each reactor comprises a conductive shell, a heating part and a reaction cavity used for containing a solid adsorption material, and the heating parts are arranged outside the conductive shells and conduct heating in an electromagnetic heating mode. The inner diameter of the reactor is 300-500 mm, and the height of the reactor is 2.5-3 times of the inner diameter. The reactor has an adsorption mode, a desorption mode and a shutdown mode which can be switched; the number of the integrated modules can be adjusted according to the carbon dioxide capturing requirement. According to the system, the installation number of the small integrated modules can be flexibly adjusted according to the carbon dioxide trapping requirement, the carbon dioxide trapping requirements of different scales are met, electromagnetic heating is adopted, rapid and uniform heating of the solid adsorption material is effectively achieved, the power consumption of the system is greatly reduced, and then the trapping efficiency and economical efficiency of the system are improved.

According to the incineration pollution cooperative control method based on multi-target reinforcement learning, a multi-modal sensor array is deployed in a hearth, a flue and a fly ash processing unit, multiple parameters such as combustion temperature and flue gas retention time are collected in real time to construct a high-dimensional dynamic characteristic matrix, and data collection and processing are carried out to meet subsequent model requirements. Based on the dynamic characteristic matrix, defining three types of objective functions of pollutant emission minimization, fly ash metal recovery rate maximization and resource cost minimization, adopting a depth deterministic strategy gradient algorithm to construct a multi-objective reinforcement learning joint optimization model, and taking a combustion air ratio and the like as an action space; and strategy exploration and value evaluation are realized through a dual-network structure. Meanwhile, a priority evaluation module based on fuzzy logic is constructed, the weight coefficient of an objective function is dynamically adjusted according to real-time working conditions, and dynamic weight distribution and multi-objective collaborative optimization control are achieved. According to the method, multiple targets in the waste incineration process can be effectively balanced, the incineration efficiency and the resource utilization level are improved, and pollutant emission is reduced.

The utility model relates to the technical field of sewage treatment, in particular to a sewage treatment system which comprises a first wetland treatment unit, a second wetland treatment unit and a third wetland treatment unit, the first wetland treatment unit comprises a plurality of treatment assemblies arranged at intervals, the treatment assemblies are periodically filled with sewage, and the third wetland treatment unit comprises a third wetland treatment unit. The first wetland treatment unit is used for treating sewage through aerobic reaction to form first sewage, the second wetland treatment unit comprises a bent section, the bent section comprises a bent wall and an adsorption layer, the adsorption layer covers the bent wall, and the first sewage flows in the extending direction of the bent section; the dissolved oxygen concentration of the second wetland treatment unit is smaller than that of the first wetland treatment unit and larger than that of the third wetland treatment unit, and the third wetland treatment unit receives sewage treated by the second wetland treatment unit and conducts anaerobic reaction. The sewage treatment capacity is improved; meanwhile, the emission of greenhouse gases is reduced.

The invention discloses an urban road rainwater runoff stage treatment system and method, and relates to the technical field of urban rainwater pollution treatment. In order to solve the problems that an existing system is difficult to monitor multi-index water quality in real time, the pollution degree is accurately recognized, and distribution control lacks dynamics, the system is provided with a multi-source spectrum water quality monitor at the tail end of a pipe network, turbidity, COD, TOC and heavy metal concentration are monitored in real time, rainfall intensity data are accessed into a control center, the pollutant load instantaneous rate L is calculated through a weighted summation formula, and the real-time monitoring of the pollution degree is achieved. A controllable flow distribution module in the flow distribution well distributes the rainwater to an enhanced treatment unit, a biological aerated filter system or a horizontal flow sedimentation tank, wherein the enhanced treatment unit comprises a rotational flow sand setting unit, an electrochemical heavy metal degradation unit and a chemical flocculation unit. The system is mainly used for realizing quality-divided efficient treatment and resource recycling of rainwater and guaranteeing the safety of a receiving water body.

The invention provides an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment. The organic waste gas treatment device comprises an efficient pretreatment unit, a composite zeolite molecular sieve adsorption tower group, a plasma-assisted microwave-hot air regeneration unit, a multi-mode tail gas treatment unit, a digital twin intelligent regulation and control system and a modular expansion interface. By integrating the high-precision VOCs analyzer, the self-adaptive airflow controller, the infrared spectrometer, the multi-channel heat recoverer, the high-performance edge computing server and the intelligent pneumatic valve system, the optimized processing method realizes accurate execution of a formula, the VOCs removal rate is remarkably increased, and carbon loss and energy consumption are reduced. The method has the remarkable advantages in the aspects of VOCs removal rate, zeolite regeneration efficiency, energy consumption control and operation cost, meanwhile, through deep intelligent regulation and multi-mode treatment, the efficient, stable and low-cost VOCs treatment requirements under complex working conditions are met, and an innovative solution is provided for industrial waste gas treatment.