656results about How to "Rapid response" patented technology

The invention discloses a method for preparing a single-layer tungsten diselenide nanoband based on a space confinement strategy. By changing the flow and the growth time of hydrogen, effective control on the width and the thickness of a nanoband can be realized. The method comprises the following steps: uniformly spraying tungsten trioxide powder to one substrate, then covering the substrate by the other substrate, and forming micro reaction space which is of a 'sandwich'-like structure. Growth of a tungsten diselenide nanoband is carried out by utilizing a constant-pressure chemical vapor deposition method; physicochemical characteristics of a one-dimensional transition metal chalcogenide strongly depend on suspension key types on the edge of the one-dimensional transition metal chalcogenide, metallic properties are displayed by an ultranarrow band, and conversion from the metallic properties to semiconductor properties can be displayed from the edge to the center of a wider band; the tungsten diselenide nanoband is widely applied to micro-nano photoelectric devices due to the special property; industrial production of the tungsten diselenide nanoband can be realized through an experimental method of the invention.

The invention discloses an online public opinion research, judgment, analysis, classification and grading early warning method and system, and the method comprises the steps: constructing a malicious public opinion data detection and judgment model, and carrying out the iterative training of a pre-training neural network through large-scale online public opinion historical data, so as to achieve the fine adjustment and optimization of the model; after malicious public opinion data are detected, fine-grained classification of malicious public opinions is realized through deep semantic comprehension and multi-dimensional text structure analysis by adopting BERT and ERNIE deep learning models and combining semantic role labeling and dependency syntactic analysis technologies; a malicious public opinion data grading and distinguishing model is constructed, deep correlation between public opinion events is captured through multi-layer convolution operation, and the recognition capacity for public opinion sensitivity and urgency degree is improved. According to the invention, malicious public opinion data related to a specific industry field can be efficiently and accurately identified and classified, and the malicious public opinion data is subjected to severity grading, so that the accuracy and the real-time performance of network public opinion management are improved.

The invention discloses an emergency prediction and early warning method for an overwater oil spill and hazardous chemical substance leakage accident. The method comprises the following steps: establishing an inland river basic database; constructing an environmental ecological effect model of the oil spill event; biological population changes under the influence of the oil spill event are identified; evaluating the influence of the oil spill event on the ecological system by using an eDNA macro stripe code technology; based on a biostatistics method, analyzing the relationship between the microbial community and the environmental elements; multi-dimensional real-time monitoring and early warning are carried out on an oil spill event; and a targeted sewage disposal scheme and ecological restoration measures are provided. According to the method, aerial remote sensing, ship and shore-based radar, video monitoring and buoy data are combined, multi-dimensional real-time monitoring and early warning of oil spill events are achieved through a multi-source data fusion technology, a traditional method usually only depends on a single data source, the monitoring accuracy and timeliness are improved, and the method is suitable for popularization and application. And after an oil spilling event occurs, a response can be made more quickly, and the damage of the accident to the environment and the economy is effectively reduced.

The embodiment of the invention provides an intelligent agent training method, device and equipment and a computer readable storage medium. The agent is associated with a large language model, the method comprising: obtaining expert trajectory data about an inference chain, the inference chain comprising a plurality of inference steps; generating agent trajectory data about the inference chain by the agent based on the expert trajectory data; the expert trajectory data and the agent trajectory data are progressively compared in an inference step order to generate an inference step-by-inference step reward, and the agent is trained based on the inference step-by-inference step reward. According to the method for training the intelligent agent, the reinforcement learning process of the intelligent agent can be optimized by rewarding one by one reasoning steps. Specifically, the method for training the agent according to the present disclosure can compare expert actions in an expert trajectory with agent actions in an agent trajectory, thereby automatically generating an intermediate reward for fine-grained optimization.

The invention discloses a mine high and steep slope landslide machine learning prediction method based on an unmanned aerial vehicle technology and multi-source data fusion. The method comprises the steps that a high-resolution digital surface model is shot by an unmanned aerial vehicle; removing non-topographic features from the digital surface model data in ArcGIS software, then converting the digital surface model data into digital elevation model data, obtaining a surface refining model of the surface mine in the digital elevation model, taking the surface refining model as a constraint to trim the surface of the three-dimensional geologic model, and fusing factors of ArcGIS software and three-dimensional geologic model analysis by using Python to obtain a three-dimensional geologic model surface refining model; complete slope data are constructed; inputting the fused complete side slope data into a machine learning algorithm training model, and generating a side slope landslide susceptibility prediction model; the optimized model is used for carrying out landslide susceptibility prediction on new slope data. According to the method, various factors influencing the slope stability can be comprehensively analyzed, high efficiency can be kept during large-scale data processing, and the slope stability in mine engineering can be evaluated more accurately.

The invention discloses a waterproof composite material production intelligent control system, and relates to the technical field of control systems, the system comprises a data acquisition layer, a standard template generation module, a data processing layer, a Transform-based model core layer and an output layer, the data acquisition layer acquires production data in real time; a data processing standard template is generated through a standard template generation module, standardization processing is conducted on real-time data through a data processing layer, production process modeling and production state analysis are conducted through a Transform model core layer, an analysis result is decoded into a control instruction through an output layer, and production line process parameters are adjusted. The production process is intelligently and optimally controlled by applying the artificial intelligence technology, the intelligent level, the operation efficiency and the product quality of the production line are remarkably improved, meanwhile, the production goals of energy conservation, efficiency improvement and intrinsic safety are achieved through refined management and control and whole-process safety protection, and intelligent and green development of the waterproof composite material industry is promoted.

The invention discloses an RTO heat storage type incineration method waste gas treatment device which comprises a spraying adsorption box, one side of the spraying adsorption box is fixedly connected with a connecting pipe, the other end of the connecting pipe is fixedly connected with a gas inlet pipe, an impurity removal device is arranged on the inner side of the gas inlet pipe, a stirring assembly is arranged in an inner cavity of the spraying adsorption box, and the stirring assembly is fixedly connected with the spraying adsorption box. The waste gas treatment device has the advantages that through the arrangement of a filter plate, particle impurities contained in waste gas can be conveniently blocked at the front end of the filter plate, at the moment, airflow generated by the waste gas can conveniently drive a plurality of spiral blades to rotate, and therefore the waste gas treatment device is convenient to use. Furthermore, a rotating shaft can conveniently drive a cleaning brush to rotate and sweep at the front end of a filter plate, particle impurities on the outer side of the filter plate are removed, and at the moment, the particle impurities fall into a material collecting drawer under the action of gravity to be collected.

The invention belongs to the technical field of grease modification and lipid deep processing, and particularly relates to a method for enriching n-3 polyunsaturated fatty glyceride by an enzymic method. According to the method, alkyl-modified hollow mesoporous silica spheres are used as an immobilized enzyme carrier and an emulsifier, grease rich in n-3 polyunsaturated fatty acid is used as a raw material in a stable Pickering emulsion system, saturated fatty acid and monounsaturated fatty acid are selectively hydrolyzed by lipase, and polyunsaturated fatty glyceride is enriched. The method has the characteristics of fast reaction, high yield, wide substrate application range and reusability of the immobilized enzyme, and the content of polyunsaturated fatty acid in the polyunsaturated fatty glyceride reaches 58.05-90.53%.

The invention relates to the technical field of electric wheelchair control, in particular to a multi-mode navigation control method and system of an electric wheelchair controller. The method comprises the following steps: acquiring a real-time environment monitoring video based on an electric wheelchair high-definition camera; video jitter distortion compensation and dynamic object frame-by-frame continuous optical flow tracking are carried out on the real-time environment monitoring video, and a moving track of each dynamic object is generated; performing environment static obstacle accurate identification on the real-time environment monitoring video, and performing dynamic environment perception modeling based on a moving track of each dynamic object so as to generate a dynamic environment map; a navigation mode switching decision is made based on a real-time wheelchair operation instruction of the user to obtain a current navigation mode of the user, and the current navigation mode of the user comprises a rocker control mode and an intelligent navigation mode. According to the invention, efficient and intelligent multi-mode control of the electric wheelchair is realized, so that the electric wheelchair can more flexibly and safely cope with a complex environment.

The invention discloses a multi-module lithium battery pack system based on cloud computing management, relates to the technical field of cloud computing management, and is used for solving the problem of poor management precision of a multi-module lithium battery pack. Comprising a lithium battery data acquisition module, a battery degradation analysis module, a degradation acceleration point determination module and a strategy management module. According to the invention, data acquisition and preprocessing are carried out on a multi-module lithium battery pack through an Internet of Things sensor and an edge computing device, the data are transmitted to a cloud platform, Fourier transform is used to extract features, a nonlinear regression model is combined to evaluate the health state of the lithium battery, and a degradation speed is determined and a degradation acceleration phenomenon is identified through a segmented nonlinear regression model. Kalman filtering and nonlinear regression are combined, a degradation acceleration point is identified, load distribution is optimized through an intelligent scheduling algorithm after identification, the load of a degradation module is reduced, a scheduling signal is generated by analyzing load adjustment information, a system is guided to perform strategy scheduling management, and a scheduling strategy and energy management efficiency are optimized.

The invention relates to the technical field of network security analysis, in particular to a big data network signal security early warning system. The system comprises a network signal big data stream transmission module, a network signal ratio difference detection module, a network signal division result safety early warning module and a network signal abnormity safety response module. Data acquisition equipment can be deployed at an entrance and an exit of each network equipment, and network signal data real-time acquisition and big data stream type transmission conversion can be carried out, so that a network signal big data stream can be obtained; carrying out time sequence flow size and access frequency statistical analysis on the network signal big data flow, and carrying out network signal ratio difference detection division and abnormal safety early warning processing at the same time to generate a network signal abnormal safety early warning signal; and uploading the network signal abnormity safety early warning signal to a cloud platform to carry out abnormity safety response processing so as to generate a network signal abnormity safety response protection strategy. According to the invention, network signal abnormity can be efficiently monitored in real time and early warning can be provided.

The invention provides a full-platform detection system and an identification method, and relates to the field of data detection systems, and the full-platform detection system and the identification method comprise a USB interface module, an analysis and judgment module, a dynamic adjustment module, a driving adaptation module, a data management module, a data interaction module and a security encryption module. By means of the technology, full-process automatic processing from device insertion to final data transmission is achieved, by means of the technology, the storage device can be comprehensively compatible with Windows, Android, iOS, Mac OS and Linux systems, iOS and Mac OS of apple ecology or Windows, Android and Linux of non-apple ecology can easily deal with the conditions, data safe storage and transfer become convenient, and the method is suitable for large-scale popularization and application. The universality and convenience of the storage device are improved, the operation steps of a user are simplified, the interoperability and safety between the device and different operation systems are improved, and the method is suitable for wide application scenes, so that the requirements of the user for backing up and transferring data between different platforms are met.

The utility model provides a chlorination device for producing 3, 4-dichlorobenzotrifluoride, which belongs to the field of chemical industry production and comprises a barrel body, a support is fixedly mounted at the bottom of the barrel body, and a stirring component is arranged in the barrel body; the grinding assembly comprises a grinding hopper, a conical grinding plate, a guide hopper, a fixing plate, a lifting plate and a reciprocating screw rod, the grinding hopper is fixedly arranged on the inner wall of the barrel body, the conical grinding plate is matched with the grinding hopper, the guide hopper is fixedly arranged at the top of the conical grinding plate, the fixing plate is fixedly arranged at the top of the guide hopper, and the lifting plate is arranged on the lifting plate. And the reciprocating screw rod is fixedly arranged at the inner top of the barrel body. According to the chlorination reaction device, the stirring assembly is arranged, a solution can be fully stirred and mixed, the chlorination reaction efficiency is guaranteed, the grinding assembly is further arranged, a large catalyst can be ground, and therefore the catalyst is pulverized, and the chlorination reaction efficiency is further improved.

The invention provides a deep reinforcement learning mobile target defense system and method based on intrusion detection, and mainly solves the problem that the existing method consumes too many resources and cannot perform targeted defense for frequent IP hopping in a complex network environment. The scheme comprises the following steps: 1) constructing an SDN network topology and monitoring network traffic in real time by using an SDN controller; 2) constructing an intrusion detection model based on CNN + LSTM and introducing an attention mechanism, and identifying potential threats and abnormal behaviors; 3) initializing IP resources and maintaining a dynamic mapping table and an IP use record; 4) constructing an IP jump model based on deep reinforcement learning and defining an action and reward function; 5) completing model optimization through strategy updating; and 6) moving target defense is realized by using the optimal IP hopping strategy. The method can improve the recognition rate of complex network attacks, reduces the network security risk, reduces the delay of data processing, and effectively optimizes the utilization rate of network resources.

The invention discloses a flash and top blowing coupled molten pool tin smelting device and method, and belongs to the technical field of pyrogenic smelting of crude tin. Tin concentrate, fuming enriched tin middling and powdery tin smoke dust are subjected to ore blending with a flux and then are smelted; adding a carbonaceous reducing agent into the molten pool, and reducing to form a CO reducing atmosphere layer at the upper part of the slag layer; and blowing fluidized bed furnace roasting dry powder to the upper part of the CO reducing atmosphere layer, carrying out flash reduction smelting on the fluidized bed furnace roasting dry powder, enabling the fluidized bed furnace roasting dry powder which is not subjected to flash reduction smelting to enter a molten pool, and continuing to carry out a reduction stage in top-blowing molten pool smelting, so that flash and top-blowing coupling is realized, and crude tin is prepared. According to the invention, flash melting pool smelting and top-blowing melting pool smelting are effectively coupled together, fuel consumption can be reduced by about 20%, and the bed capacity is obviously improved.

The utility model discloses a heater with a cleaning device, the heater is provided with a heating pipe, the cleaning device comprises a dry ice spraying device, the spraying opening of the dry ice spraying device faces the heating pipe, and the dry ice spraying device is used for spraying dry ice to the heating pipe; the output end of the ultrasonic device faces the heating pipe, and the output end of the ultrasonic device transmits ultrasonic waves into the dry ice medium sprayed by the dry ice spraying device. According to the utility model, stains are cleaned in a manner of spraying dry ice and superposing ultrasonic waves, the dry ice can effectively remove oil stains and impurities at low temperature, chemical solvents are not needed, the environment is not polluted, residues are not generated after sublimation, and the cleanliness of the heater is ensured; and high-frequency vibration of the ultrasonic waves can not only vibrate out stains in gaps of the heater, but also promote the reaction between the dry ice and the stains, so that the cleaning effect of the cleaning device is further improved.

A feeding system for potassium sulfate production relates to the technical field of raw material feeding equipment and comprises a horizontally-arranged supporting base, a vertically-arranged reaction kettle body and a supporting bracket are fixedly arranged at the top of the supporting base, two vertically-arranged raw material tanks are fixedly inserted into the top of the supporting bracket, and a built-in mixing assembly is arranged on the upper inner wall of the reaction kettle body. Quantitative material taking assemblies are arranged on the lower inner walls of the raw material tanks, the built-in mixing assembly is communicated with the two quantitative material taking assemblies through a communication assembly, a transmission rod which is rotationally arranged is coaxially arranged at the inner bottom of the reaction kettle body, and a plurality of stirring blades are uniformly distributed on the outer wall of the transmission rod in the circumferential direction; an exhaust pipe communicated with the inner cavity of the reaction kettle body is fixedly arranged at a position, below the built-in mixing assembly, of the outer wall of the reaction kettle body. The problem that an existing feeding mode for producing potassium sulfate is poor in raw material feeding continuity is solved; the adjustability of the feeding ratio of the raw materials is poor. And the distribution uniformity of the fed raw materials is poor.

The invention discloses a computer data security protection system based on a computer network. The system comprises a flow monitoring module; the capture module captures network flow data in real time; the threat intelligence integration module is responsible for collecting and analyzing threat intelligence information from multiple sources; the user behavior analysis module is responsible for monitoring and analyzing network behaviors of users; according to the invention, through real-time capturing and monitoring of network flow data by the flow monitoring module and targeted detection of the abnormity detection module by using a preset algorithm and a rule, the system can more accurately identify abnormal behaviors in a network, and the abnormal behaviors in the network can be more accurately analyzed and mined. And the situations of missing report and false report are reduced. And the threat intelligence integration module and the user behavior analysis module further enhance the insight of the system to network threats and user behaviors, so that the system can respond more quickly when facing a complex network environment.

The invention discloses a composite additive for a vanadium electrolyte and a preparation method of the composite additive, and relates to the technical field of vanadium batteries. The composite additive is applied to the electrolyte of the vanadium battery, the electrolyte is a positive electrode electrolyte and a negative electrode electrolyte, the concentration of the vanadium electrolyte can be improved, precipitation and crystallization of vanadium ions can be inhibited, and meanwhile, the electrochemical activity of the vanadium battery can be improved. The composite additive comprises a mixture formed by a first component and a second component, the first component comprises at least one of a fluorine-containing compound, oxyacid and oxysalt, and the second component is a surfactant.

The invention belongs to the technical field of pulp paper production, and particularly relates to a preparation method of low-dirt-degree and high-strength bleached sulfate mixed broadleaf wood wet wood pulp and pulp board. According to the invention, the acacia mangium chips and the eucalyptus chips are mixed and prepared, so that a foundation is laid for obtaining subsequent high-quality products; mixed wood chips are pre-impregnated in impregnation liquid with the effective alkali content being 4-8 g / L, so that the wood chips can react quickly in the cooking stage, and resin in broadleaf wood is eliminated; the wood chips are cooked, knotted, screened and washed, so that impurities in the slurry can be eliminated again; and by performing oxygen delignification treatment and bleaching on the coarse pulp, the quality of the pulp is improved. Therefore, the mixed broadleaf wood wet wood pulp and wood pulp board prepared by the preparation method disclosed by the invention are excellent in various indexes, low in dust degree, high in tension resistance, tear-resistant and breakage-resistant, and high-quality mixed wood pulp is provided for customers of paper for daily use.

The utility model relates to a zero-gravity seat backrest collision energy absorption locking mechanism which comprises a backrest framework, a backrest connecting plate installed on the backrest framework and an angle adjuster installed on the backrest connecting plate, a fixed disc of the angle adjuster is installed on the backrest connecting plate, and a movable disc of the angle adjuster is connected with a cushion framework through a backrest energy absorption locking mechanism. The backrest energy absorption locking mechanism comprises an unlocking support connected with the recliner movable disc, the unlocking support is meshed with the rotating support, the cam locking piece drives the rotating support to be separated from the unlocking support, the exploder drives the cam locking piece to rotate and unlock, the pull wire is connected with the exploder and the cam locking piece, and the energy absorption friction disc is used for unlocking after a vehicle collides. The blocking point limiting mechanism is used for preventing the unlocking bracket from reversely rotating due to inertia force; the backrest energy-absorbing locking mechanism has the advantages that when the seat is collided at a zero-gravity posture position, the backrest can quickly return, so that the restraint protection on passengers is improved, and the injury caused by collision is reduced.

The utility model discloses a side-mounted garbage collection and transportation manipulator which comprises a grabbing mechanism, a lifting mechanism, a transverse position adjusting mechanism, a telescopic mechanism, a visual auxiliary operation mechanism and a control mechanism. The grabbing mechanism is provided with a single-finger clamping jaw and a double-finger clamping jaw which can be adjusted independently or simultaneously, and the single-finger clamping jaw is located in a gap in the middle of the double-finger clamping jaw. A sensor is arranged on the tail end clamping jaw; the lifting mechanism drives the grabbing mechanism and the transverse position adjusting mechanism to ascend and descend, and overturning and dumping of the dustbin are achieved. The transverse position adjusting mechanism is used for adjusting the position of the grabbing mechanism in the transverse direction; the telescopic mechanism is used for driving the supporting and lifting mechanism to stretch forwards or retract backwards, and the visual auxiliary operating mechanism obtains an image at the grabbing mechanism and conveys the image to the control mechanism; and the control mechanism is provided with a controller for controlling other parts to work. The grabbing mechanism is controlled to be opened and closed more accurately, and the garbage can is prevented from being shrunken by clamping or falling off in the grabbing process; and the adjustment in the lifting or horizontal direction is more accurate.

The invention is suitable for the technical field of multi-project management, and provides a multi-project engineering supervision collaborative management method and system based on cloud computing, and the system comprises a data collection and real-time monitoring module, a multi-project risk assessment module, a risk response and strategy generation module, and a risk visualization and decision support module. Through deep analysis of project characteristics and dependency relationships, a scientific basis can be provided for subsequent management decisions, and the uncertainty of decisions is reduced. And secondly, through systematic risk factor identification and evaluation, potential risk sources can be found in time, and the early warning capability of a project team is enhanced. In addition, due to the construction of the multi-project risk assessment model, the team can identify and cope with the cross risk more efficiently when facing a complex project environment. The method not only improves the controllability of the project, but also provides an effective tool for resource optimization and risk management in multi-project management, and finally promotes the successful implementation of the project and improves the overall efficiency.

The invention relates to the technical field of wastewater treatment, in particular to a reaction device for chemical organic matter degradation, the reaction device for chemical organic matter degradation comprises a shell mechanism, a driving mechanism, two stirring mechanisms, an auxiliary mechanism and a cleaning mechanism, the shell mechanism comprises two supporting columns, a heating shell and a reaction shell, the two supporting columns are installed on the ground at intervals, the heating shell is fixedly installed between the two supporting columns, the reaction shell is installed in the heating shell, the stirring mechanism is driven by the driving mechanism to stir mixed liquid in the reaction cavity, the contact and mixing effects between organic matter liquid and a degradation agent are improved, and therefore the mixing efficiency is improved; the cleaning mechanism can be used for cleaning the gas outlet of the gas guide auxiliary assembly, so that the blockage condition is prevented, the auxiliary gas can be ensured to smoothly enter the reaction cavity, and the normal reaction is ensured.

The invention relates to the technical field of structure safety detection, and discloses a digital twinning-based port wharf structure safety evaluation system and method, and the system comprises a model building module which is configured to build a digital twinning model according to the actual structure of a port wharf; the sensor assembly is arranged in a to-be-monitored area of the port wharf structure; the acquisition module is configured to acquire structure information and environment information; the structure evaluation module is configured to calculate a structure evaluation initial value through the pressure value and the vibration value when the structure is loaded, and adjust the structure evaluation initial value according to the inclination angle influence value to obtain a structure evaluation final value; the environment evaluation module is configured to calculate an environment evaluation initial value through the water level value and adjust the environment evaluation initial value according to the wind power influence value to obtain an environment evaluation final value; and the grade evaluation module is configured to divide the structure safety evaluation grade according to the structure safety evaluation value. According to the invention, the structure safety monitoring and evaluation capability is improved, and the evaluation precision and efficiency are high.

The invention relates to the technical field of communication technology and sensing technology application, and discloses a Zigbee-based vehicle-mounted child retention prevention monitoring system which is composed of a vehicle body state detection module, a human body induction detection module, a child physiology detection module, an in-vehicle environment detection module and an emergency measure module. The running state of an automobile is monitored in real time, the flameout state is particularly concerned, preconditions are provided for child monitoring, whether passengers stay in the automobile or not is detected through the high-frequency microwave technology, the breathing and heartbeat signals are monitored, life activities are accurately recognized, false alarms caused by toys or other objects are avoided, meanwhile, the image sensor is adopted, and the safety of children is improved. Through the face recognition technology, whether the passenger identity is a child or not is accurately recognized, the accuracy of child retention detection is ensured, and the beneficial effects that the event that the child is retained in the vehicle is found in time and a correct response is made are achieved.

The invention discloses a preparation method and application of active cationic chitosan nanoparticles, which comprises the following steps: reacting a low-molecular chitosan triethylamine hydrogen sulfate ionic liquid ([(C2H5) 3NH] HSO4) solution with an aldehyde compound ethanol solution to form Schiff base protection on chitosan C2-site amino, and then reacting with 2, 3, 5, 6-tetramethyl-4-piperidine-2-one to obtain the active cationic chitosan nanoparticles. The preparation method comprises the following steps: carrying out nucleophilic substitution reaction on chitosan C6 in the presence of a basic catalyst by using 2, 3-epoxypropyl trimethyl ammonium chloride, then adding a chemical initiator, carrying out grafting reaction on chitosan C3 and acrylic acid, and then removing Schiff base protection on chitosan C2. Carboxylate anions of acrylic acid and cations of chitosan are subjected to cross-linking self-assembly through a hydrothermal reaction, and the chitosan nanoparticles which are high in stability, small in particle size, uniform in distribution and efficient and lasting in function are obtained. The prepared nanoparticles are high in reaction activity, contain a large amount of quaternary ammonium salt, amino dication groups and carboxyl groups, and have wide application prospects in the fields of dye adsorption, heavy metal adsorption, textile function finishing and the like.

The invention relates to the technical field of metal-air solid-state batteries, in particular to a thin-film metal-air battery with a three-dimensional structure, a layer of thin-film solid-state electrolyte structure is arranged between a negative electrode material and a breathing electrode, and the breathing electrode and the negative electrode material are folded and form a three-dimensional straight-hole folded plate structure. The three-dimensional straight-hole folded plate structures are uniformly provided with a plurality of Z-shaped through regular ordered holes, so that the weight of the three-dimensional straight-hole folded plate structures can be reduced to realize light weight, the three-dimensional straight-hole folded plate structures are mutually stacked, and the three-dimensional straight-hole folded plate structures are arranged in an air circulation area of the battery; honeycomb holes with high regularity are formed in the three-dimensional straight hole folded plate structure, and the structure is used in an air circulation area of the air battery, so that the contact surface area of air and an electrode can be greatly increased, which means that more oxygen can be in contact with the electrode at the same time, the supply efficiency of the oxygen is improved, and the reaction of the oxygen and the electrode is promoted.