465results about How to "Realize comprehensive utilization" patented technology

The invention relates to the technical field of data analysis, and discloses a business data analysis method, device and equipment based on big data and a storage medium, the method comprises the following steps: collecting and preprocessing original log data to obtain standardized log data, and performing adaptive multi-modal feature extraction to obtain comprehensive feature representation; inputting a heterogeneous graph neural network to carry out anomaly detection and multi-level root cause analysis to obtain a hierarchical anomaly event; executing task scheduling and resource allocation of reinforcement learning to obtain a task allocation scheme; performing deep learning enhanced root cause reasoning and knowledge graph construction on the task allocation scheme to obtain a system state diagram and a causal relationship; and generating a multi-dimensional task data analysis report. According to the method, comprehensive analysis, anomaly detection, root cause reasoning and intelligent scheduling of log data are realized. The reliability and performance of the system can be improved, and more intuitive and accurate decision support can be provided for operation and maintenance personnel.

The invention discloses a negative carbon coplanar filling system arrangement and mining method, which comprises the following steps of: stoping by adopting a rear gangue high-porosity filling coal mining technology, retaining a stoping roadway on one side of a filling section by utilizing a gob-side entry retaining technology, and reinforcing by adopting a roadway-side support body; the mining roadway serves as a CO2 filling roadway of the working face and a mining roadway on one side of an adjacent filling working face; when the working face advances by 300-500 m, the working face is separated from a rear goaf through a sealing wall, and a sealed storage space is formed; then, drill holes are formed in the goaf through the CO2 injection and filling roadway, and CO2 injection and filling pipelines are arranged in the mining roadway and the drill holes; and CO2 is injected into the goaf by the CO2 injection pump through the CO2 injection pipeline, and after injection is completed, CO2 injection in the next closed space is started until injection of the working face is completed. The system is simple in arrangement, CO2 filling and coal mining filling do not interfere with each other, operation is flexible, the sealing performance of the sealing space is good, the dual purposes of solid waste disposal and CO2 sealing are achieved, and green mining of coal resources is achieved.

The invention relates to a data channel state sensing method based on multi-source time sequence data fusion and a topological structure. The method comprises the following steps: collecting multi-source time sequence data; cleaning is conducted; obtaining a multi-source fusion time sequence; constructing a knowledge graph structure, wherein the knowledge graph structure comprises data and operation conditions of an equipment link topological structure, an equipment body and topological association equipment; obtaining a trained long short-term memory network model; and inputting real-time data into the trained long-short-term memory network model, predicting the real-time data by the trained model, and dynamically sensing the running state of the equipment. According to the method, a knowledge graph structure is adopted, modeling is carried out on data and operation conditions of an equipment link topological structure, an equipment body and associated equipment, the complex association relation between the equipment can be expressed in the mode, the sensing capacity of the equipment state is improved in combination with the actual operation data, and the real-time performance of the equipment is improved. Therefore, the monitoring system can perform more comprehensive state analysis by using the existing professional knowledge and the association between the devices.

The invention provides a sewage treatment whole-process control method and device, and relates to the technical field of sewage treatment, and the method comprises the steps: collecting multi-dimensional parameter data in a sewage treatment process through a real-time sensor; preprocessing the multi-dimensional parameter data to generate multi-scale feature data; adjusting the original language model based on the sewage treatment historical corpus data and general data in the fields of environmental science and chemistry to obtain a sewage treatment control parameter prediction model; inputting the multi-scale characteristic data into the sewage treatment control parameter prediction model to generate a sewage treatment control parameter prediction result; and controlling the sewage treatment equipment based on the sewage treatment control parameter prediction result. According to the invention, complex scene data characteristics can be fully combined and sewage treatment control parameters can be optimized in real time, so that the sewage treatment operation efficiency, the resource recovery capability and the carbon emission control effect are improved.

The invention relates to artificial intelligence and data processing technologies, and discloses a mine cave experience pavilion large-span roof stability prediction method, which comprises the following steps: collecting data through sensor data collection, visual information collection and real-time environment data collection, and carrying out data fusion and cleaning; inputting sensor data, visual data and environmental disturbance data and outputting an instability risk level based on a multi-modal data prediction model; constructing a risk grade division standard according to the predicted instability risk grade; and dynamically updating the instability probability by using a Bayesian method in combination with historical data and real-time data. The large-span roof safety risk prediction method can accurately predict the safety risk of a large-span roof, so that potential safety risks and hidden dangers can be found in time, hidden dangers can be eliminated in time or personnel and property are transferred, and personnel and property safety is guaranteed.

The invention belongs to the field of artificial intelligence, and particularly relates to a multi-modal knowledge matching system which comprises a construction module, an image processing module, a matching module and an output module to realize seamless connection of an image and a text knowledge base. According to the method, the user is allowed to use the picture to perform knowledge retrieval, the user experience is improved, the picture is conveniently used to obtain required information, text information can be accurately extracted from the picture and matched with the text knowledge base, the matching accuracy and integrity are improved, the user can directly use the picture to perform knowledge retrieval, and the user experience is improved. And the system automatically identifies characters in the picture and matches the characters with the knowledge base, so that intelligent processing and utilization of image information are realized, and a more intelligent, convenient and efficient information retrieval and question-answering system is realized.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a retrieval enhancement generation method based on multi-source knowledge fusion, which comprises the following steps: selecting multi-field knowledge sources such as web pages and Mock APIs through a proxy routing system, extracting related information by utilizing sparse retrieval, dense retrieval and text rearrangement technologies, and performing entity recognition and naming in combination with a large language model. And updating the data by adopting a noise fragment fusion technology. Meanwhile, the invention further provides a system and a performance verification method, and accuracy and consistency of generated results are evaluated through regular matching and a large model. According to the method, multi-source data integration, accurate retrieval and generation evaluation are combined, the accuracy, logicality and continuity of the generated content are improved, and the method is suitable for generation tasks in multiple fields. According to the method, dynamic knowledge selection, multi-step retrieval and reasoning and noise fusion technologies are combined, the overall performance of the retrieval enhancement generation model is effectively improved, and accurate evaluation is carried out.

The invention discloses an efficient regulation and control system and method for plateau low-oxygen environment damage, and relates to the technical field of human body low-oxygen damage analysis, detection and regulation and control, and the system comprises a data monitoring module, a signal screening module, a decision oxygen distribution module and a monitoring interaction module; the data monitoring module is used for acquiring a physiological state related to the plateau hypoxia adaptive capacity in real time; acquiring physiological data with high modeling value through an optimization algorithm by using a signal screening module based on test data, and constructing a discrete state space model of a physiological state; an oxygen distribution concentration decision is determined through a predictive control algorithm by utilizing a decision oxygen distribution module, so that oxygen supply regulation and control are realized; and the monitoring interaction module is used for storing, recording and displaying data, issuing an alarm and predicting dangerous conditions. Therefore, by means of the method, effective oxygen supply, blood oxygen dynamic monitoring and real-time alarming can be achieved, and health and safety of individuals in oxygen-deficient environments such as high-altitude areas and the like are guaranteed.

The invention relates to the technical field of environmental science and information, in particular to a rural land space carbon emission assessment method, which collects real-time data through a distributed sensor network and an unmanned aerial vehicle remote sensing technology, analyzes and extracts key features by using an adaptive variational auto-encoder and topological data, and effectively identifies a land utilization mode. The graph neural network and the Bayesian optimization generative adversarial network are combined to dynamically evaluate and predict carbon emission, and uncertainty quantitative data are generated; a multi-objective genetic algorithm and a game theory model are used for optimizing land utilization layout, an optimization scheme is executed on a block chain through an intelligent contract and a multi-agent system, and automatic management and dynamic adjustment are achieved; according to the method, the accuracy and the real-time performance of rural land carbon emission evaluation are remarkably improved, and a scientific basis is provided for low-carbon sustainable development.

The invention discloses a biogas fermentation purification liquefaction and carbon capture process. The process comprises a biogas fermentation system for performing high-temperature fermentation on biomass; the biogas purification and liquefaction system, the CO2 purification and liquefaction system and the organic fertilizer production system are arranged at the biogas residue output end of the biogas fermentation system to produce organic fertilizer; a thermal energy recovery system; according to the invention, a high-temperature facultative anaerobic hydrolysis and high-temperature anaerobic fermentation process is provided, so that high-concentration biomass biogas is produced; cH4, H2S and CO2 in the biogas are separated and liquefied by adopting a process of'wet process and dry process serial desulfurization, PSA (Pressure Swing Adsorption) + MDEA (Methyl Methanol Ether Alcohol) decarburization, molecular sieve dehydration, single-order two-stage mixed refrigerant compression and propane refrigeration compression ', and produced liquid CH4 and CO2 are recycled; meanwhile, the biogas residues are subjected to a secondary fermentation technology under the action of microorganisms to obtain a solid organic fertilizer; in addition, the solar heat collection and heat pump technology is utilized, and the whole-field heat energy is recycled to supply heat to the biogas fermentation system.

The invention discloses a Kafka-based buried point data transmission and storage method and system. The method comprises the following steps: collecting and sending buried point data of a client; the server receives, processes and forwards; storing and managing Kafka data; and the Dores starts the Route Load to consume the Kafka data. According to the system architecture, the buried point data can be quickly processed and stored, real-time analysis and utilization of the data are realized, a large amount of buried point data can be easily handled, blockage and loss of the data in the transmission process are avoided, the system architecture has better expansibility, new modules or components can be conveniently added to realize new functions, and the system architecture is convenient to use. And large-scale reconstruction of the whole architecture is not needed.

The invention discloses a dephosphorization intelligent dosing control method and system based on a big data prediction model, and belongs to the technical field of the water affair industry. The method comprises the steps that production operation and maintenance data of a sewage treatment plant are analyzed, a prediction model based on big data is established to predict the concentration of PO4 < 3->-P in the chemical phosphorus removal process in sewage treatment, the dosage of a phosphorus removal agent is optimized through an intelligent agent adding control system, and the purpose of timely and accurately adding the phosphorus removal agent according to needs is achieved; the problems of hysteresis of long detection time and data accuracy of an online detection instrument are solved.

The invention provides a method for preparing a carbon sequestration underground cemented filling material by carbonizing and activating all solid wastes. Firstly, alkaline solid waste and water are compounded to obtain solid waste slurry, and an inducer and the solid waste slurry are stirred at a low speed to obtain first slurry; secondly, under the condition of continuously introducing carbon dioxide, carrying out wet grinding treatment on the first slurry to obtain second slurry, and then adding a stabilizer to continuously carry out wet grinding treatment to obtain third slurry; and finally, uniformly mixing the third slurry, semi-hydrated phosphogypsum, iron tailings and water, and vibrating for multiple times to obtain the carbon sequestration underground cemented filling material. The carbon sequestration rate of the prepared carbon sequestration underground cemented filling material can reach 12.2%-20.4%, the softening coefficient can reach 0.86, and the carbon sequestration underground cemented filling material meets the requirements of tailing concrete of C3 strength grade, F3 expansion degree and S1 shrinkage rate in JC / T 2478-2018 Mine Goaf Filling Tailing Concrete, and has a wide application prospect as a mine and underground filling material.

The invention relates to a spot market and frequency modulation auxiliary service market coordinated clearing method based on electric vehicle aggregation. The method comprises the following steps: screening out an electric vehicle group according with a preset electric vehicle screening model, and calculating the frequency modulation capacity of the electric vehicle group; calculating the frequency modulation capacity of the temperature control load group according to the operation parameters of the temperature control load group and a pre-established temperature control load equivalent thermal parameter model; performing aggregation equivalence on the frequency modulation capacity of the electric vehicle group and the frequency modulation capacity of the temperature control load group to obtain the capacity of a virtual energy storage battery; determining clearing parameters according to the capacity of the virtual energy storage battery and a pre-constructed spot market and frequency modulation auxiliary service market coordination clearing model; and clearing in the frequency modulation auxiliary service market based on the clearing parameters. By adopting the method, the schedulable frequency modulation resource pool can be effectively expanded, and the problem that traditional frequency modulation resources are limited is solved.

The invention discloses intelligent water conservancy irrigation equipment based on intelligent agriculture, and belongs to the technical field of intelligent irrigation. The intelligent water conservancy irrigation equipment comprises a base, moving wheels are rotatably mounted on the outer side of the base through a rotating shaft, a bottom plate is fixedly mounted at the bottom of the base, and a support is fixedly mounted at the top of the base; a water collecting assembly is fixedly mounted on the top surface of the bracket; according to the device, the water collecting assembly and the lifting water guide mechanism are arranged in a matched mode, through the design, the device can automatically control release of water flow according to the irrigation environment condition, manual management is not needed, the intelligent degree is high, and the whole device can achieve lifting rotating water sprinkling irrigation on crops; the irrigation range and effectiveness of crops can be greatly improved, the equipment is not provided with a plurality of driving sources, the energy consumption of the whole equipment can be reduced, the failure rate of the equipment can be reduced, and the actual application effect of the equipment is improved.

The invention discloses a cluster and a communication method, which can present various resources in a pooling manner and decouple each resource pool so as to improve the utilization rate of the resources. The cluster comprises a data processor pool and a plurality of computing resource pools of different types, the data processor pool comprises a plurality of data processors, and any one of the computing resource pools comprises a plurality of computing resources; the data processor pool is connected with the plurality of computing resource pools through a high-speed interconnection bus; the data processor pool is to manage communications between the plurality of computing resource pools and an exterior of the cluster, communications between the plurality of computing resource pools, and communications within any one of the computing resource pools.

The invention discloses a constant temperature circulating water treatment system, and relates to the technical field of water treatment.The constant temperature circulating water treatment system comprises an ultrafiltration unit and a first heat exchange unit, the output end of the ultrafiltration unit is communicated with a reverse osmosis unit, the reverse osmosis unit is communicated with two output ends, the first input end of the first heat exchange unit is communicated with the output end of a primary treatment component, and the second input end of the first heat exchange unit is communicated with the output end of a secondary treatment component. The first output end of the first heat exchange unit is communicated with the output end of the ultrafiltration unit, the second input end of the first heat exchange unit is communicated with the first output end of the reverse osmosis unit, the second output end of the reverse osmosis unit is communicated with a first heat exchange mechanism, and the output end of the ultrafiltration unit is provided with a second heat exchange mechanism; multi-stage heat exchange is performed through the first heat exchange unit, the second heat exchange unit and the third heat exchange unit in sequence, so that cyclic utilization of heat is realized, sustainable development and utilization of energy are realized, and the problem that the membrane flux of the ultrafiltration unit and the reverse osmosis unit is remarkably reduced in a low-temperature environment is solved.

The present invention provides a soil conditioner and a preparation method and application thereof, belonging to the technical field of soil conditioners. The soil conditioner of the present invention comprises the following raw materials in parts by weight: 70 to 90 parts of modified pig manure biochar, 8 to 15 parts of polyaspartic acid, 5 to 10 parts of potassium titanium oxalate, 1 to 3 parts of ammonium molybdate, 40 to 60 parts of calcium silicate, and 20 to 30 parts of lime. The present invention uses a mixed modifier to modify pig manure biochar, which can greatly reduce the content of cadmium and arsenic in edible parts. In addition, the raw materials in the soil conditioner cooperate with each other to reduce the content of heavy metals in the edible parts to the greatest extent.

The embodiment of the invention provides an image retrieval method and device, equipment, a storage medium and a program product. The method comprises the following steps: on the basis of a local feature vector and a global feature vector corresponding to a to-be-retrieved image, matching a plurality of candidate images from a preset retrieval library; calculating a local feature overlap ratio between the to-be-retrieved image and each candidate image based on the local feature vector corresponding to each candidate image and the local feature vector corresponding to the to-be-retrieved image; for each candidate image, based on the corresponding local feature overlap ratio, fusing the global feature vector corresponding to the candidate image and the global feature vector of the to-be-retrieved image to obtain a fused global feature vector corresponding to the candidate image; and calculating the similarity between the global feature vector corresponding to the to-be-retrieved image and the fused global feature vector corresponding to each candidate image, and determining a retrieval result of the to-be-retrieved image based on the similarity. According to the method, the retrieval accuracy can be improved.

The invention discloses a method for preparing a sodium-ion battery hard carbon negative electrode material by modifying industrial waste activated carbon. Industrial waste activated carbon is used as a raw material, a high-molecular polymer is used as a modifier, water or an organic solvent is used as a solvent, and the sodium-ion battery hard carbon negative electrode material is obtained through process treatment of firstly mixing, then carrying out medium-low temperature pretreatment and finally carrying out high-temperature carbonization. The method disclosed by the invention is simple and environment-friendly in process, waste utilization of the waste activated carbon generated in the field of waste gas treatment in the electronic industry, the shoemaking industry or the printing industry can be realized, and the prepared hard carbon has the characteristics of high yield, good electrochemical performance and low cost.

The invention discloses a method for capturing carbon dioxide to participate in biomass gasification to prepare green methanol, and particularly relates to the field of biomass energy utilization, a gasification furnace body, a dust removal heat exchanger and a purification water washing box are included, and the exhaust end of the purification water washing box is connected with a high-voltage electrostatic decoking device through a pipeline; the exhaust end of the high-voltage electrostatic decoking device is connected with a synthetic gas cabinet, the synthetic gas cabinet is connected with a gas desulfurization and dechlorination purifier through a pipeline, and the exhaust end of the gas desulfurization and dechlorination purifier is connected with an effective gas reforming transformation box through a pipeline; and the effective gas reforming transformation box is connected with a gasifying agent inlet at the bottom end of the gasifier body through a pipeline. Carbon dioxide discharged in the secondary reforming transformation process of gasified synthesis gas is captured and fed into the gasifying agent at the front end, the carbon dioxide is doped into the gasifying agent, so that the oxygen proportion is reduced, a small amount of oxygen can promote pyrolysis and gasification reaction of biomass, the yield of hydrogen is increased, and waste gas utilization of the carbon dioxide is achieved.

The invention discloses a negative-carbon different-face filling system arrangement and mining method which comprises the following specific steps: firstly, during working face filling mining operation, retaining a mining roadway on one side of a filling section by utilizing a gob-side entry retaining technology, and reinforcing by adopting a roadway-side support body to serve as a CO2 filling roadway of the working face and a mining roadway on one side of an adjacent filling working face; then, a roadway is stoped from the adjacent working face, drill holes are formed in the mined-out area where the closed space is formed, and CO2 filling pipelines are arranged in the mining roadway and the drill holes; and finally, CO2 is injected into the goaf gangue high-pore filling body by a CO2 injection pump through a CO2 injection and filling pipeline, after filling mining of adjacent working faces is completed, CO2 injection is stopped, and a coal mining-filling-injection and filling cycle is completed. The system is simple in arrangement and flexible in operation, the dual purposes of solid waste disposal and CO2 storage are achieved, and green mining of coal resources is achieved.

The invention discloses an inspection method for a conference room audio system, a medium and a program product. The method comprises the following steps: determining at least one target audio device to be inspected in a conference room audio system; performing performance index detection on the at least one target audio device by controlling a loudspeaker in the at least one target audio device to play a corresponding test audio and controlling a corresponding microphone in the at least one target audio device to collect the audio played by the loudspeaker; and generating an inspection report of the conference room audio system according to the performance index detection result of the at least one target audio device. Therefore, the original audio equipment in the conference room audio system can be efficiently utilized to realize automatic inspection of the conference room audio system, so that the operation health state of the conference room audio system can be monitored in real time, the inspection report can be quickly generated, and the inspection efficiency and the detection accuracy of the conference room audio system are remarkably improved; conference audio quality and system stability are ensured, and hardware and labor cost are saved.

The invention provides a resource comprehensive utilization method of secondary aluminum ash. The method comprises the following steps: mixing secondary aluminum ash and an alkaline reactant, calcining, and collecting a first product and CO2; carrying out alkaline leaching treatment and separation on the first product, and collecting a first filtrate and a first filter residue; the first filtrate is used for preparing alumina; mixing the first filter residue with a first ammonium salt solution for hydrolysis reaction, and collecting a second product and NH3; separating the second product, and collecting a second filtrate and a second filter residue; nH3 is added with water to prepare ammonia water, the ammonia water is added into the second filtrate for a reaction, a product obtained after the reaction is separated, and a second ammonium salt solution and magnesium hydroxide are collected; magnesium hydroxide is used for preparing magnesium oxide and / or magnesium hydroxide is dissolved in water and then CO2 is introduced to prepare micro-nano hydrated magnesium carbonate. According to the method, comprehensive utilization of aluminum and magnesium resources in the secondary aluminum ash can be achieved, resource waste is reduced, and pollution of the secondary aluminum ash to the environment is reduced.

The invention discloses graphite tailing matrix soil and a preparation method thereof, and belongs to the technical field of tailing remediation, and the preparation method comprises the step of uniformly mixing 93.26-95.94% of graphite tailings, 3-5% of animal waste, 0.16-0.24% of a modifier A and 0.9-1.5% of diatomite. According to the graphite tailing matrix soil and the preparation method thereof, a new way is provided for consumption of graphite tailing resources, so that the problems of source of ecological restoration soil in a mining area and stacking of a large amount of graphite tailings are solved, and a win-win situation of social development and ecological environment protection is realized.

The invention discloses a text generation method and system based on model editing and knowledge fusion, and belongs to the technical field of natural language processing. The method aims at the knowledge conflict problem caused by excessive confidence of an existing pre-training language model. On the premise of providing external knowledge, a soft instruction is designed to be inserted into a pre-training language model attention module and used in a retrieval enhancement mode, interaction between the instruction and a problem is promoted, and understanding and utilization of new facts are achieved. According to the method, the utilization capacity of the model for external knowledge can be improved, and the editing performance can be improved in single-hop model editing and multi-hop model editing, so that error information in text generation content is corrected, and more accurate and fluent text generation is realized. The method has better editing reasonability and efficiency, the model after knowledge fusion can generate more accurate and fluent text content, and fusion and utilization of new knowledge are realized.

The invention provides a combined beneficiation method for laterite-nickel ore, which comprises the following steps: separating chromite in the laterite-nickel ore through a combined process of one-stage cyclone separation, spiral chute, multi-stage table classification, multiple low-intensity magnetic separation and multiple spiral classification to obtain first chromium concentrate, chromium middling, low-intensity magnetic separation middling and mixed light mineral aggregate; the chromium in the limonite and the chromite subjected to leakage treatment in the mixed light mineral aggregate, the low-intensity magnetic separation middling and the high-intensity magnetic separation magnetic substance is further enriched and separated by combining a combined process of subsequent multiple ball milling, two-stage rotational flow, low-intensity magnetic separation and high-intensity magnetic separation, so that more second chromium concentrate is screened out, the content of the chromium in the subsequent high-pressure leaching stock solution is reduced, and the yield of the high-pressure leaching stock solution is improved. The comprehensive utilization of the chromium element is realized.

The invention discloses a multi-channel holographic method based on a total-space dynamic switching metasurface. The method comprises the following steps: 1) constructing a nano-structure unit; 2) optimizing the structure parameters of the nano structure unit according to the incident light wavelength lambda; and 3) constructing a nano-structure array, wherein the nano-structure array comprises a plurality of nano-structure units. According to the invention, left-handed / right-handed circularly polarized light is set to be incident to the nano-structure array, and dynamic switching of four holographic channels is carried out by rotating a mask plate in a reflection space; in a transmission space, the relative positions of the two layers of nano-arrays are changed by translating the second layer of nano-structure array to obtain dynamic switching of the three holographic channels, and the seven holographic channels can be subjected to mutually independent and continuous phase regulation and control through the nano-bricks. According to the invention, full-space information utilization can be realized, multi-channel dynamic switching is realized, the information capacity of the device is increased, the functionality of the device is improved, and the device can be applied to the fields of large-capacity optical information storage and coding and the like.

The invention relates to the technical field of telegraph pole production equipment, in particular to an anti-seismic concrete telegraph pole spraying maintenance device and a maintenance method thereof.The anti-seismic concrete telegraph pole spraying maintenance device comprises a supporting frame, a sliding part is arranged on the supporting frame in a sliding mode, and a spraying mechanism used for conducting spraying maintenance on a telegraph pole body is arranged below the sliding part; the spraying mechanism comprises an arc-shaped spraying shell, a water storage tank arranged on the arc-shaped spraying shell and a collecting box arranged below the arc-shaped spraying shell and used for collecting spraying liquid obtained after spraying. Through mutual cooperation of the arc-shaped spraying shell, the water storage tank, the collecting box and the water pump, primary collection and utilization of spraying liquid can be achieved, so that control over the spraying water amount is greatly reduced in the telegraph pole spraying maintenance process, and waste of water resources is effectively reduced.

The invention discloses a method for utilizing waste acid water, relates to the technical field of titanium dioxide production, and aims to solve the technical problems that treatment of waste acid water generated in the titanium dioxide production process in the prior art is not environment-friendly and high in cost. The method comprises the following steps: S1, collecting acidic wastewater generated in the production process of producing titanium dioxide by a sulfuric acid method, and flocculating and layering the collected acidic wastewater; s2, filtering supernatant liquid of the layered acid wastewater, and conveying the filtered supernatant liquid to a hydrolysis section; s3, taking the acid wastewater as dilution water in a hydrolysis section, and concentrating the acid wastewater; and S4, concentrating the acidic wastewater obtained in S3 again, and returning the concentrated acidic wastewater to an acidolysis section for acidolysis. According to the method, the acid wastewater generated in titanium dioxide production is used as dilution water in the hydrolysis process, so that waste acid water is circulated, raw materials are saved, the production cost is reduced, and economic benefits are increased; the waste acid water is subjected to environment-friendly treatment, and the green production concept is met.