4373 results about "Pre treatment" patented technology

The present invention relates to the technical field of the control of wastewater treatment devices. Disclosed is an intelligent control method for wastewater treatment devices at a dry bulk cargo terminal, which is used for solving the problem of poor control of wastewater treatment devices at a terminal. The method comprises the following steps: installing a plurality of types of sensors at key locations of a dry bulk cargo terminal, and using edge computing nodes to perform real-time data collection and preprocessing; on the basis of historical features and temporal features, using a machine learning model to perform wastewater type classification, thereby realizing efficient dynamic adjustment of operating parameters of wastewater treatment devices; then, by means of weighted voting and confidence evaluation, integrating a plurality of classification results to ensure an optimal treatment effect; and analyzing actual wastewater treatment conditions to continuously optimize device control, thereby preventing faults, extending the service life of devices, and improving the wastewater treatment effect.

The invention discloses a charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method and system, and relates to the technical field of liquid cooling control. The charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method comprises the steps that S1, liquid cooling monitoring data are periodically collected, and the liquid cooling monitoring data are preprocessed; s2, judging whether an abnormal period exists or not, and evaluating whether a cooling liquid leakage trend exists or not in combination with real-time liquid cooling monitoring data; s3, performing coolant leakage risk grade evaluation, judging the leakage risk grade in the current abnormal period, and executing a corresponding leakage prevention strategy; and S4, in the execution process of the anti-leakage strategy, the running state of the circulating pump is evaluated, and whether the pump obstacle prevention and control strategy is triggered or not is judged. The problem that thermal runaway is caused by the fact that cooling abnormity is not intervened in time due to the fact that leakage of trace cooling liquid in an existing liquid cooling system is difficult to recognize in time and pump obstacles are difficult to pre-judge accurately is solved.

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 relates to a water plant intelligent chemical adding amount prediction method based on data preprocessing, and belongs to the technical field of deep learning and intelligent chemical adding. Calculating a theoretical dosage based on historical flow, pH, water temperature and turbidity; dividing a plurality of clusters and splicing to query historical dosage data; weighting and fusing the theoretical dosing amount and the inquired historical dosing amount as a pre-treatment dosing amount; learning the relationship among the flow, the pH, the water temperature, the turbidity and the pretreatment dosage to perform forward feedback optimization; building an alumen ustum image recognition model, classifying alumen ustum, and associating the alumen ustum with corresponding dosage to form a dosage feedback algorithm model; building a dosage feedback model based on the sedimentation tank outlet water quality monitoring data; and correcting the weight in the preprocessed dosage based on the adjusted data of alumen ustum identification and water quality feedback on the dosage. The method can effectively reduce the influence of the dosage data error on the effectiveness of the model, can reduce the complexity of the algorithm model, and improves the robustness of the model.

The invention belongs to the crossing field of environmental engineering and hydrology and hydrodynamics, and particularly relates to a traceability method based on coupling hydrodynamics and a pollutant degradation equation, which comprises the following steps: firstly, acquiring and preprocessing multi-source heterogeneous monitoring data, then selecting a one-dimensional Saint-Venant equation or a two-dimensional shallow water equation according to a water body form to solve a hydrodynamic field, and finally, determining the hydrodynamic field. A multi-component convection-diffusion-reaction equation is coupled to simulate pollutant migration and transformation; an LSTM module is introduced to identify suspected pollution events, pollution source parameters are inverted through a two-channel framework of PDE constraint optimization and Bayesian inference, uncertainty is quantified, model parameters are updated online in combination with data assimilation, and finally the uncertainty is quantified and verified. The method considers traceability precision, efficiency and compliance, supports multiple water bodies and multiple data sources, and is suitable for complex water body pollution traceability.

The invention provides a bioreactor aeration self-adaptive control method and system based on machine learning, and the method comprises the steps: collecting the water inlet flow, ammonia nitrogen concentration, dissolved oxygen concentration, water temperature and chemical oxygen demand data of a bioreactor in real time through a sensor, and carrying out the water balance verification and the Kalman filtering pretreatment containing a water temperature compensation item; generating an aeration instruction by adopting multi-model collaboration; outputting a reference aeration rate by a deep reinforcement learning DRL model; the self-adaptive PID controller dynamically adjusts the proportionality coefficient according to the dissolved oxygen deviation and calculates the correction amount; and the LSTM network generates a fusion weight, and combines the seasonal compensation factor and the safety coefficient to synthesize the final aeration rate. The system passes mutation rate constraint and nitrification efficiency verification, an ASM1 model is triggered to recheck when the deviation exceeds the standard, and after passing, an air blower with the precision of + / -2% executes an instruction and performs closed-loop feedback in a period smaller than or equal to 10 seconds. After the method is implemented, the aeration energy consumption is reduced to 0.38 kWh / m, the effluent ammonia nitrogen standard reaching rate is improved to 98.5%, the dissolved oxygen fluctuation range is reduced to + / -0.3 mg / L, and the impact load response time is shortened to be within 15 minutes.

The invention relates to the technical field of environmental engineering water treatment automatic control, and discloses a landfill leachate treatment control method based on cooperative control. The method comprises the following steps: acquiring real-time monitored water quality parameter data streams including a pretreatment stage pH value, a main treatment stage COD concentration, a deep treatment stage membrane pressure difference and the like in a landfill leachate treatment system, inputting the data streams into a cooperative control framework, and dynamically correcting PID controller parameters through a nonlinear gain function to generate a primary adjustment instruction; evaluating and generating a strategy optimization instruction based on the reinforcement learning strategy network; inputting the two into a grey prediction model and outputting a cooperative control signal containing a feedforward compensation amount; and finally, dynamically adjusting the coagulant dosage, the aeration intensity and the working pressure of the membrane component according to the signal to form a closed-loop control loop. The method can master the water quality change in real time, accurately regulate and control the treatment process, improve the stability and reliability of the treatment system, and effectively improve the landfill leachate treatment effect.

The present invention discloses an intelligent control method for sewage treatment equipment at dry bulk cargo terminals, relating to the technical field of sewage treatment equipment control, and is used to address the problem of poor control of sewage treatment equipment at terminals. The method comprises following steps: installing multiple types of sensors at key locations on dry bulk cargo terminals, utilizing edge computing nodes for real-time data acquisition and preprocessing, combining historical and temporal features with machine learning models to classify sewage types, achieving efficient dynamic adjustment of sewage treatment equipment operation parameters, then using weighted voting and confidence assessment to integrate multiple classification results to ensure optimal treatment results, and analyzing the actual sewage treatment situation to optimize equipment control continuously, thereby preventing failures, extending equipment life, and improving sewage treatment effectiveness.

The invention discloses a sewage plant multi-process-section collaborative intelligent decision fusion system, which comprises a sensing and rule fusion layer used for collecting inlet and outlet water quality parameters, process control parameters and operation state parameters of multiple process sections in real time, preprocessing data and fusing an expert rule base; the mechanism and data driving joint modeling layer is used for establishing a mechanism model and a data driving model under the constraint condition of the expert rule base and predicting control quantities respectively; and the collaborative optimization and fusion decision-making layer is used for executing cross-process-section multi-target collaborative optimization and fusion decision-making based on an output result of the mechanism and data driving joint modeling layer under the constraint condition of an expert rule base, calculating a dynamic fusion weight, generating a final control quantity, and issuing the final control quantity to execution equipment. And in combination with real-time feedback self-adaptive adjustment, closed-loop optimization is realized. According to the system, the sewage treatment stability, decision precision and resource utilization efficiency are improved, and the environmental risk is reduced.

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 discloses a printing and dyeing wastewater zero-discharge treatment process based on low-pressure high-power membrane concentration and salt separation synergy. The wastewater is sequentially subjected to the steps of double-alkali softening pretreatment, organic pollutant treatment, forward osmosis low-pressure high-power concentration treatment, salt separation treatment and evaporative crystallization. Wherein the forward osmosis low-pressure high-power concentration treatment is performed in a partitioned manner along the flow direction, the osmotic pressure difference is gradually increased, the transmembrane pressure difference is gradually decreased, and interface electrochemical buffer and low-frequency gas-liquid disturbance can be set to inhibit concentration polarization and pollution. Carrying out nanofiltration and salt separation on the concentrated solution to obtain two paths of saline water mainly comprising Na2SO4 and NaCl, and respectively carrying out evaporative crystallization on the two paths of saline water; and refluxing and reusing the water produced by the draw solution. According to the process, high-power concentration and stable salt separation are realized under low mechanical pressure, the energy consumption is reduced, the water recovery rate and the crystal purity are improved, and zero discharge of wastewater is realized.

This invention belongs to the field of wastewater treatment technology, specifically relating to a method for removing metallic impurities from acidic copper-containing etching wastewater at room temperature and pressure. The method includes the following steps: S1, adding an oxidant to the acidic copper-containing etching wastewater to conduct an oxidation-reduction reaction, obtaining a pretreatment solution; S2, adding phosphoric acid or soluble phosphate to the pretreatment solution, adjusting the pH to 1.3-1.7 using a pH adjuster, stirring, and filtering to obtain a purified copper-containing solution. The method provided by this invention achieves high removal rates for Fe, Ni, Zn, Ca, and Mg, while maintaining a high copper ion content. It can recycle and regenerate high-purity copper salt products for application in food, cosmetics, medical, electroplating, and other fields, while also reducing hazardous waste generation, improving economic efficiency, and significantly reducing costs.

The invention discloses an environment-friendly multi-purification device and method for sewage treatment, and relates to the technical field of sewage multi-stage treatment. Comprising a multi-stage filtering device, a permeation filtering piece is installed on the multi-stage filtering device, and a floating oil absorption piece is installed on the permeation filtering piece; the floating oil absorption piece is used for prolonging the service life of the permeation filtering piece; a pretreatment piece is mounted on the multi-stage filtering device; a sampling and mixing part is mounted in the pretreatment part; a sampling control piece is mounted on the pretreatment piece; the pretreatment part is adopted to facilitate pretreatment mixing work of sewage, the sampling control part can be used for automatically controlling accelerated mixing of water stored in the pretreatment part when a worker needs to sample, and the situation that sample sewage is not accurate enough when the sampling position is single can be avoided; the problems that an existing multi-purification device for sewage treatment is not convenient for floating oil removal and is not convenient for premixing and sampling when sewage enters are solved.

The invention discloses a rainwater and sewage mixing traceability analysis method based on a municipal pipe network BIM model. The rainwater and sewage mixing traceability analysis method comprises the steps of data acquisition and preprocessing, BIM model construction and integration, rainwater and sewage mixing traceability analysis and result display and report generation. According to the method, pipe network BIM geometric data and operation monitoring data are integrated to construct a digital twinborn model, hydraulic simulation and data mining are combined to identify mixed connection suspicious points, and a Bayesian network probability inference algorithm is utilized to trace along a pipe network topological structure to determine a mixed connection source and path. And finally, an analysis result is displayed through BIM three-dimensional visualization, and a comprehensive report is generated. According to the method, BIM, hydraulic simulation and an intelligent algorithm are fused, the rain and sewage mixed connection troubleshooting efficiency and traceability accuracy are remarkably improved, and reliable technical support is provided for intelligent operation and maintenance and precise rectification of a municipal pipe network.

The invention discloses a vacuum negative pressure vibration assisted precision casting forming method. The method comprises the steps of model preparation, sand box and dry sand pretreatment, layered vibration sand filling, film covering vacuumizing, molten metal smelting and purification treatment, negative pressure vibration pouring, pressure maintaining solidification, segmented temperature control and pressure relief box opening and multi-stage cleaning aftertreatment. The core of the method is that mechanical vibration and a vacuum negative pressure technology are deeply coordinated and penetrate through the whole process of modeling, pouring and solidification, and meanwhile, a series of fine control means such as dry sand accurate pretreatment, molten metal rotary blowing degassing and instantaneous inoculation, stepped negative pressure control, temperature-related segmented pressure relief and two-stage shot blasting cleaning are matched; through dynamic cooperation of vibration and negative pressure, the sand mold compaction uniformity, the molten metal mold filling capacity and the solidification feeding effect are remarkably improved, the casting defects of air holes, shrinkage porosity, insufficient pouring and the like are effectively reduced, and the internal density, the size precision and the surface quality of a casting can be remarkably improved.

The invention belongs to the technical field of gravity dam construction, and provides an assembled concrete cooling pipe structure and method for gravity dam construction. The cooling pipe is composed of a plurality of pipe body units connected in series, and lining pieces are arranged in metal pipes of the pipe body units. The lining piece and the elastic steel sheets form a criss-cross cage type structure through the strip-shaped plates, the strip-shaped plates are provided with pitted surfaces and notches, the steel sheets can stretch out and draw back to achieve variable-diameter adjustment, and water flow can be forced to generate turbulent flow to damage the laminar flow bottom layer. The method comprises the steps of raw material pretreatment, notch and pitted surface machining, lining piece assembling, metal pipe assembling and fixing and pipe body unit series connection. The structure is stable, manufacturing is convenient, boundary layer thermal resistance can be reduced, heat transfer efficiency is improved, concrete temperature cracks are reduced, and the gravity dam construction requirement is met.

The invention relates to the field of flow-state solidified soil, and discloses flow-state solidified soil prepared from construction waste, preparation equipment and a preparation method. The pre-dehydration module is used for controlling the water content of discharged materials to be less than or equal to 14%; the system further comprises a main drying system, an auxiliary material adding device, a water adding device and mixing equipment. The main drying system comprises a high-temperature drying area, a high-temperature buffering area and a heat preservation discharging area which are arranged in the vertical direction, materials treated by the pre-dehydration module are lifted into the high-temperature drying area through lifting equipment, the main drying system comprises at least two sets of material conveying belts, and a plurality of hot air openings are evenly formed in the top of the high-temperature drying area; an inlet of the hot air pipe is communicated with an air cavity heated by a heat source; a recovery channel communicating with the portion, close to the bottom, of the heat preservation discharging area is arranged on one side of the main drying system, and an obliquely-arranged dust baffle is arranged in the recovery channel. According to the invention, the problems of fluctuation of construction waste sources and large change of material moisture content in the prior art are solved.

The invention discloses a membrane filtration sewage treatment system based on fine control, relates to the technical field of sewage treatment, and solves the technical problems of delayed response to water quality and water quantity fluctuation and extensive biochemical reaction control caused by water inlet load impact in an existing sewage treatment system. The system comprises an inflow water pretreatment module used for predicting inflow water quality in real time by using a water quality prediction model based on a neural network, and carrying out water quantity balance and water quality adjustment on inflow water according to a prediction result to obtain a first water body; the biochemical reaction module is used for cooperatively controlling external carbon source addition, nitrification liquid backflow and aeration intensity in the biological reaction process of the first water body by utilizing a multivariable model predictive control method to obtain a second water body after biochemical reaction; and the deep purification module is used for carrying out solid-liquid separation and deep purification on the second water body to obtain an effluent water body, and triggering cleaning and maintenance operation of the membrane based on a prediction result of the membrane pollution characteristics.

The invention discloses an automatic monitoring method for an industrial solid waste treatment process, and the method comprises the steps: synchronously collecting a temperature distribution matrix, a gas concentration spectrogram, a kiln body vibration spectrum and a material rheological image in the solid waste treatment process, constructing a multi-source heterogeneous data set, and carrying out the time-space alignment preprocessing; based on a preset solid waste component feature code, calling a process parameter reference value, and performing self-adaptive correction in combination with the material rheological image features to generate a personalized reference set; fusing the multi-modal monitoring data to generate a solid waste reaction process three-dimensional state model, extracting core feature parameters, comparing the core feature parameters with a personalized reference set, and screening abnormal features; inputting the abnormal features into a pre-trained abnormal diagnosis model, and when an abnormal probability value exceeds a preset threshold value, triggering early warning and generating an abnormal identifier; according to the method and the system, intelligent monitoring and regulation of the industrial solid waste treatment process are realized, and the stability, the safety and the treatment efficiency of the treatment process are comprehensively improved.

The invention provides a Yellow River water irrigation area non-point source pollution load space-time analysis method, and relates to the technical field of Yellow River water irrigation area non-point source pollution monitoring and analysis, and the method comprises the following steps: S1, collecting and preprocessing multi-source basic data; according to the Yellow River water irrigation area non-point source pollution load space-time analysis method, total nitrogen and ammonia nitrogen are accurately recognized as core pollutants through three-stage fuzzy comprehensive evaluation, the recognition accuracy is improved to 90% or above, and the problem that recognition is fuzzy in a traditional method is solved; by combining nitrogen and oxygen isotopes and a flora active chip, the manure sewage is determined as a main source of nitrogen for the first time, the traceability error is controlled within 10%, and the pollution source analysis blank is filled up; a core pollution area is defined through a gravity center migration model, the pollution load space-time distribution visualization degree is improved by 60%, and area differentiation treatment is achieved; a coupling migration model is constructed, the mechanism of reverse migration of pollutants caused by irrigation return water is clarified for the first time, and the interpretation precision reaches 85%.

The invention relates to the technical field of dredged sediment treatment, and discloses a dredged sediment sludge separation treatment method and system.The method comprises the following steps that S1, pretreatment is conducted, specifically, dredged mud is sequentially subjected to impurity removal and primary precipitation concentration, impurities are removed, and preliminary concentrated mud is obtained; s2, pollutant extraction and sludge separation; s3, carrying out multi-phase separation and pollutant enrichment; step S4, mud phase treatment; and step S5, residual water treatment. According to the dredged bottom mud sludge separation treatment method and system, pollutants in dredged mud are separated out by introducing a solid-phase extraction adsorption material and / or a liquid-phase extraction agent, and the pollutants are separated out through a sludge separation enhanced mass transfer unit integrating stirring, micro-nano bubble generation and pH regulation functions in the treatment process. The extraction-separation efficiency is remarkably enhanced by utilizing the synergistic effect of physical disturbance, interfacial effect and chemical conditions, and the core problems of mixed treatment of sludge, incomplete removal of pollutants and low recycling level in the traditional process are effectively solved.

The invention relates to the technical field of sewage monitoring, in particular to a sewage treatment plant discharge water quality monitoring and adjusting system, which is characterized in that a data preprocessing module obtains water quality and equipment parameters, calculates standard cycle parameters and obtains load parameters through pollution load feature extraction; the primary prediction module calculates a primary prediction value based on load and equipment parameters, and judges and adjusts according to an updated threshold value after comparing the primary prediction value with a standard period parameter. And the advanced analysis module obtains the inlet water quality and the process type in combination with the updated parameters, calculates an advanced predicted value and compares the advanced predicted value with the primary predicted value. And the verification and adjustment module analyzes the comparison result through a preset threshold value, verifies an advanced prediction value and then matches a self-adaptive grading strategy, thereby realizing precise adjustment of the process. According to the system, the water quality standard reaching stability and the adjusting efficiency are improved through multi-stage prediction and closed-loop control.

The invention provides a method for preparing a copper ingot through waste copper refining, and belongs to the field of waste copper refining. The method comprises the following steps: sorting, crushing and drying a waste copper raw material to obtain a pretreated copper material; feeding the pretreated copper material into a cored power frequency induction furnace for melting; after the pretreated copper material is completely molten, adding a slag removing agent into the melt, then lowering the voltage, and salvaging slag after heat preservation; a magnetic refining agent is added into the melt obtained after slag fishing, stirring is carried out to adsorb impurity elements in the melt, then heat preservation and standing are carried out, and the magnetic refining agent is recycled; the refined melt is subjected to electromagnetic stirring and ultrasonic wave cooperative treatment, so that hydrogen and oxygen gas is deeply removed, and components are homogenized; and a slag conglomeration agent is added into the purified melt, stirring is conducted, slag is fished out after heat preservation, and casting is conducted to form an ingot. Therefore, deep and efficient removal of various types and trace harmful impurities (especially As, Pb, Sb and the like) in the waste copper is synergistically realized, and the metallurgical quality of final copper ingots is synchronously improved.

The invention relates to the technical field of stainless steel pipe production, and provides a stainless steel seamless steel pipe production process which comprises the following steps: step 1, raw material pretreatment: selecting a stainless steel pipe blank conforming to specifications, detecting internal defects through ultrasonic flaw detection, and cleaning the surface of the pipe blank by adopting a shot blasting machine; 2, tube blank heating, wherein the tube blank in the step 1 is placed in a medium-frequency induction heating furnace to be heated; thirdly, hot extrusion forming is conducted, specifically, the pipe blank in the second step is placed in an extruding machine with an annular die head, and an initial seamless steel pipe is formed; and 4, on-line solid solution treatment is conducted, specifically, the steel pipe in the step 3 is fed into a continuous solid solution furnace to be subjected to heat preservation for 30-60 seconds. By means of the multi-link collaborative optimization production technology, high-quality batch production of the stainless steel seamless steel pipe and flaw detection and surface cleaning in the raw material pretreatment stage are achieved, the pipe blank quality is guaranteed, sectional type heating and precise temperature control hot extrusion forming are achieved, and the structural integrity of the initial steel pipe is guaranteed.

The invention discloses a sewage treatment time series data missing value interpolation method based on a random configuration network. The method comprises the following steps: collecting water quality data in a sewage treatment process, and preprocessing the water quality data to obtain univariate time series data; performing seasonal trend decomposition on the single-variable time series data to obtain a seasonal component, a trend component and a residual component; respectively performing component interpolation on the season component, the trend component and the residual component; and performing addition reconstruction on the seasonal component, the trend component and the residual component after interpolation to obtain complete sewage treatment process monitoring data. According to the sewage treatment time sequence data missing value interpolation method based on the random configuration network, original data is decomposed into season, trend and residual components, interpolation is conducted on all the components through self-similarity decomposition and a random configuration network model, finally a complete sequence is reconstructed, the periodicity and trend characteristics of missing data can be effectively recovered, and the accuracy of the missing data is improved. And the restoration precision and the application reliability of the sewage treatment monitoring data are improved.

The invention belongs to the technical field of emergency water treatment, and particularly relates to an oily sewage treatment system based on intelligent regulation and control and an operation method. The system comprises an intelligent regulation and control server, a preprocessing unit, a separation unit, an online detection unit and a regulation and control unit, the intelligent regulation and control server is internally provided with a pretreatment module, a separation module, an online detection module, a data analysis module and a real-time regulation and control module, and the separation module provides a T-shaped pipe and air floatation pipe technology and is used for separating floating oil and emulsified oil. The intelligent regulation and control server is connected with all the units, before operation, calculation formulas of floating oil separation efficiency and emulsified oil separation efficiency are input into the intelligent regulation and control server in advance, and initial values of all parameters are set; during operation, data are transmitted in real time so as to calculate the floating oil separation efficiency and the emulsified oil separation efficiency, the data are stored, and parameters are adjusted in real time according to the optimal separation efficiency. According to different working conditions, automatic adjustment can be achieved, intelligent regulation and control are achieved, and the application range is wider.

The invention relates to the technical field of heavy metal contaminated soil remediation, in particular to a plant-microorganism-passivator synergistic remediation method for a heavy metal contaminated farmland, which comprises the following steps: step 1, constructing a soil digital twinborn model; step 2, intelligent decision making and verification of a collaborative restoration scheme; 3, soil pretreatment before remediation; step 4, hierarchical collaborative restoration and dynamic regulation and control; 5, performing long-term verification on the repair effect and performing model iteration; physical heat treatment is used as strengthening pretreatment, the occurrence form of heavy metal is changed through high temperature, biomass charcoal is generated in situ, passivation immobilization-microbial strengthening-plant extraction three-stage collaborative operation is carried out according to the time sequence, pollutants are rapidly locked through a passivating agent, rhizosphere immobilization is strengthened through functional microorganisms, plant growth is promoted, and the quality of plants is improved. And the hyperaccumulator finally removes the heavy metals from the soil, so that the unification of short-term control and long-term reduction is realized.

The invention discloses an automatic treatment device and method for metal workpiece surface polishing and application. According to the automatic environment-friendly electrochemical polishing device, the workpieces are automatically transferred through the automatic conveying device, automatic connection of all the procedures is achieved, and the automatic environment-friendly electrochemical polishing process of the metal workpieces such as the pure magnesium workpieces is achieved; and compared with the prior art, only water is used as a cleaning medium in the whole process, and toxic and harmful chemical agents are not needed. The environmental pollution risk is greatly reduced, and the environmental protection requirement is met. The environment-friendly polishing solution is adopted for electrochemical polishing, core components of the polishing solution are biodegradable non-toxic reagents such as ethyl alcohol and glycerinum, waste liquid treatment is simple, zero liquid discharge can be achieved, and the difficulty and cost of waste water treatment are remarkably reduced. According to the invention, the process flow is simplified, the consumption of chemicals and pollution emission are reduced, and the process efficiency is improved. According to the invention, whole-process monitoring and automatic operation from pretreatment to post-treatment are realized, the production efficiency and consistency are improved, and the method is suitable for industrial large-scale application.

The invention discloses a direct injection type total sulfur analyzer with a pretreatment structure, and relates to the technical field of total sulfur analyzer pretreatment, the direct injection type total sulfur analyzer comprises a sulfur detection box and a side-hung regulation box, a flow direction regulation pipeline is installed in the side-hung regulation box, and two sides of the bottom of the flow direction regulation pipeline symmetrically communicate with gas guide pipes; the air guide pipe penetrates through the side-hung regulation and control box and is fixedly communicated with a conducting pipe; through the design of the two-path parallel flow direction adjusting pipeline, the non-stop maintenance function is achieved, the laser scattering sensor and the intelligent regulation and control system are combined, the airflow path and the processing strategy can be automatically adjusted according to impurity data monitored in real time, the problems that in the prior art, maintenance is difficult, adaptability is poor, and the intelligent degree is low are solved, and the maintenance efficiency is improved. The detection efficiency and reliability of the total sulfur analyzer are remarkably improved, and the method is particularly suitable for long-term continuous monitoring tasks in a complex industrial environment.

The invention discloses a sludge low-temperature oxidation treatment system and method. The system comprises a pretreatment unit, a feed lifting mechanism, a low-temperature oxidation furnace, a flue gas purification unit and an automatic control unit. The low-temperature oxidation furnace is divided into a feeding area, a low-temperature oxidation area and an air distribution and slag discharge area from top to bottom, an air distribution plate is provided with air outlets which are uniformly arrayed, the temperature of the low-temperature oxidation area is controlled to be 420-480 DEG C, and generation of dioxin is inhibited from the source. The pretreatment unit is used for mixing sludge, biomass and quartz sand to form a loose breathable material to prevent the sludge from hardening; the method comprises the steps of material mixing, continuous feeding oxidation, temperature closed-loop regulation and control, flue gas purification and ash treatment, high-water-content municipal sludge can be stably treated, the energy consumption is low, the dioxin generation amount is low, flue gas emission reaches the standard, ash can be recycled, and the method is suitable for large-scale municipal sludge harmless treatment.