3468 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.

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 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 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 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 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 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 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.

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 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.

The invention provides an oily water treatment equipment control method based on the Internet of Things, which comprises the following steps: feeding back data through an operation state, calling a multi-dimensional data analysis module, carrying out association calculation on energy consumption, treatment efficiency and adjustment parameters, predicting a subsequent operation trend by adopting a support vector machine algorithm, and obtaining a feasibility evaluation result of energy-saving mode switching; if the feasibility evaluation result of the energy-saving mode switching shows that the energy consumption optimization space is relatively large, starting an energy-saving mode switching module, reducing the power output of a non-key processing unit, maintaining the core separation efficiency, and determining new energy consumption balance point data; and through equipment state updating information, continuously monitoring an operation cost control module, comparing cleaned energy consumption data with historical records, calculating a cost saving range, and judging a potential improvement space for prolonging the service life of the equipment.

The invention discloses a flue gas purification device for a sintering machine, and relates to the technical field of sintering machines, the flue gas purification device comprises a purification cylinder, the outer side of the purification cylinder is fixedly connected with a gas inlet pipe, one end of the gas inlet pipe penetrates through the inner side of the purification cylinder, and a treatment unit for purifying flue gas of the sintering machine is arranged on the upper side of the gas inlet pipe; an exhaust pipe is fixedly connected to the outer side of the purification barrel and located above the air inlet pipe, a first water pump is fixedly connected to the right side of the purification barrel, a fixing disc is arranged on the inner side of the purification barrel, and a plurality of branch plates are fixedly connected between the fixing disc and the purification barrel. According to the flue gas purification device for the sintering machine, the purification cylinder, the gas inlet pipe, the fixed pipe, the spray head and the first water pump are arranged, the spray head can spray out an alkaline solution conveniently to treat flue gas of the sintering machine, introduced gas can be dispersed conveniently through a rotating rod, a stirring plate, the fixed cylinder, a branch cylinder, a dispersion plate, a first dispersion piece and a second dispersion piece, high-concentration flue gas is evenly distributed, and the service life of the flue gas is prolonged. The flue gas purification effect is improved.

The invention provides a control method of a multistage sludge screening device. The method is applied to a multi-stage sludge screening device, the multi-stage sludge screening device is used for screening sludge of a sewage treatment unit, and the multi-stage sludge screening device comprises a first number of first cyclones, a second number of second cyclones and a third number of third cyclones, the specification parameters of the first swirler, the second swirler and the third swirler are gradually reduced; the method comprises the following steps: acquiring real-time performance parameters of sludge of a sewage treatment unit; and controlling partial opening or simultaneous opening of the first pipeline, the second pipeline and the fourth pipeline based on the real-time performance parameters. According to the control method of the multistage sludge screening device, targeted improvement is carried out according to the actual sludge condition of the sludge treatment unit, and the sewage treatment efficiency is effectively improved.

The invention discloses a graded discharge management system and method for urban sewage, multiple water quality parameters are collected in real time from different monitoring nodes of a pipe network through a multi-source data fusion collection module, and time and position information are integrated to form a multi-dimensional data set, so that the actual condition of the sewage is comprehensively reflected; the complex water quality evaluation and grading module applies a multi-factor dynamic weight comprehensive pollution index calculation formula, integrates multiple parameters and dynamically adjusts the weight, so that the water quality evaluation is more scientific and accurate, the pollution degrees of different time and regions can be truly presented, the limitation of the traditional fixed weight is overcome, and the comprehensive pollution index and the multi-level grading threshold value of the sewage are calculated based on the accurate sewage comprehensive pollution index and the multi-level grading threshold value. The system realizes fine discharge grade grading, different grades correspond to different treatment requirements and standards, sewage is guided to corresponding treatment units and channels, accurate graded discharge is realized, the sewage with low pollution degree is subjected to cost reduction by adopting a simple process, and the sewage with high pollution degree is subjected to enhanced treatment to meet the standard.

The present disclosure relates to a clothing treatment apparatus in which a residual water treatment unit, by means of which water condensed in a circulation duct accommodating a heat exchanger assembly is collected in a drain tank, communicates the drain tank and the inside of the circulation duct so that some of the water collected in the drain tank can be discharged back into the circulation duct, thus making it possible to prevent the water from leaking out even when the drain tank is full.

The invention relates to a liquid air energy storage and terrestrial heat coordinated underground space air regulation and control system and method. Comprising a first-stage compressor, a second-stage compressor, a third-stage compressor, an expansion refrigerator, a first-stage compression heat exchanger, a second-stage compression heat exchanger, a third-stage compression heat exchanger, a cold box, a separator, a liquid air storage tank, a cryogenic pump, an evaporator, a cold storage circulating pump, a cold storage box, a compression heat exchange circulating pump, a compression heat storage box, a first heater, a second heater and a third heater. The system comprises a first air expander, a second air expander, a third air expander and a generator. The regeneration heater is used for guiding the compression heat generated by the compressor into the regeneration heater for regeneration and / or guiding the geothermal energy output by the geothermal energy output end into the regeneration heater for regeneration; the rotary wheel dehumidification device is used for performing cryogenic drying on the wet air; the fresh air processing unit is composed of a fresh air filter, a regeneration fan, a regeneration filter and an air supply fan.

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 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 invention discloses a recovery device and a recovery method for a photovoltaic multi-layer stacked assembly. The recovery device comprises a dismounting unit, a pyrolysis unit and a waste gas treatment unit which are arranged in sequence, the pyrolysis unit comprises a tunnel kiln, a bearing assembly and a conveying assembly. The recycling method comprises the steps that S1, the disassembling unit is used for disassembling, and the frame is stripped; s2, the photovoltaic multi-layer laminated assembly is sent to a pyrolysis unit for pyrolysis, and a glue film layer in the photovoltaic multi-layer laminated assembly is removed; and S3, the waste gas is discharged after being treated. By means of the innovative disassembling system, the multi-plate stacking tunnel kiln pyrolysis scheme and the multi-stage waste gas treatment system, the industrial production capacity of treating 1-3 tons of photovoltaic panels per hour can be achieved, the pyrolysis effect is good, the silicon material recovery rate can reach 98.5% or above, energy consumption is low, and the tail gas emission index is superior to the national standard by 50% or above.

The invention relates to the technical field of rust-proof treatment of metal products, in particular to a rust-proof discoloration-proof packaging system and method for a bronze-plated tire bead wire. The system sequentially comprises a cleaning unit, a surface treatment unit, a drying box, a film coating device, a cooling unit, a post-treatment unit, a take-up device and a packaging system according to the process. The core of the process method is as follows: the steel wire is immediately coated with a special antirust film coating agent to be cured by using waste heat generated after the steel wire is dried, and the film coating agent comprises water-based resin, a silane coupling agent, a conductive polymer, a nano filler and benzotriazole; during packaging, an intelligent packaging system with a built-in humidity response humidity control bag is adopted, and the humidity control bag can automatically release inert gas and a moisture absorbent when the environment humidity reaches a preset threshold value. Multiple synergistic protection on the surface of the steel wire is achieved, the anti-rust period is remarkably prolonged to 12 months or above through dynamic humidity control, meanwhile, the bonding performance and the retention rate of the steel wire and rubber are improved, and energy conservation and environment protection are achieved.

The invention relates to the technical field of gas separation and purification, in particular to a method and system for recycling hydrogen in mixed gas through pressure swing adsorption. The method comprises the following steps: performing multi-layer adsorption impurity removal on mixed gas containing 20-25% of silane, 10-15% of disilane and 60-70% of hydrogen, and cooling to 22-28 DEG C; the mixed gas subjected to primary impurity removal enters a pressure swing adsorption device, and an adsorbent in the adsorption device is modified activated carbon. The system comprises a mixed gas cylinder, a pretreatment unit, a pressure swing adsorption unit and a hydrogen collection unit which are connected in sequence. By adopting the pressure swing adsorption method, the hydrogen recovery rate is remarkably increased and can reach 93%, the purity can reach 99.2% or above, and the strict requirement of high-end industrial production for high-purity hydrogen can be met.

The utility model discloses a system for recycling and treating waste liquid in the carbon fiber industry. The system comprises a spinning dilute solvent pretreatment unit and a receipt solution pre-separation unit, the spinning dilute solvent pretreatment unit comprises at least one stage of dehydrating tower; the receipt solution pre-separation unit comprises a pretreatment tower TVII; the tower top of the pretreatment tower TVII leads to an acrylonitrile refining tower TVIII; the tower kettle of the last stage of dehydration tower and the tower kettle of the pretreatment tower TVII are both led to a core residue removal device, the discharge port of the core residue removal device is led to a deep dehydration tower TV, and the tower kettle of the deep dehydration tower TV is led to a DMSO refining tower TVI. According to the utility model, the carbon fiber receipt solution and the spinning dilute solvent are combined to obtain ultra-high-purity acrylonitrile, DMSO and process water, and the ultra-high-purity acrylonitrile, DMSO and process water can be returned to carbon fiber production for use.

The invention relates to the technical field of sewage treatment, in particular to a sewage pipe network intelligent monitoring and fault early warning analysis system for sewage treatment. Comprising the following steps: a real-time monitoring unit; a data processing unit; the early warning analysis unit is used for adopting an improved LSTM-random forest fusion model when the data is sufficient and switching to an improved grey prediction model when the data is insufficient based on a data volume self-adaptive double-model switching strategy; a system cooperation unit; and a terminal interaction unit. According to the invention, the model switching control module determines the data sufficient state according to the sample density, achieves the adaptive switching of the improved LSTM-random forest fusion model and the improved gray prediction model, and carries out the special training of the flow-liquid level cooperative change physical characteristics of the blocking and leakage faults in combination with the fault feature training module. The method can adapt to scenes with different data volumes, and improves the adaptability and accuracy of recognition of two types of faults of blockage and leakage of the sewage pipe network.