1212results about How to "Improve effectiveness" patented technology

The invention relates to the technical field of visual health management, in particular to a ciliary muscle adjustment training system and method based on eye movement tracking, and the method comprises the steps: collecting eye movement data of a fixation point track, an adjustment amplitude change rate and pupil response time in real time, and combining personalized parameters such as the age of a user, diopter and a training target; inputting a ciliary muscle training dynamic planning algorithm module, dynamically generating a stage scheme containing a training action type, a single-group duration, a stimulation interval and a focal length adjustment strategy, and adaptively adjusting the strategy according to real-time adjustment stability and a historical ability curve; through multi-dimensional matching analysis of a pre-stored standard eye movement template, a training specification score is calculated from the track goodness of fit, speed uniformity, amplitude standard-reaching rate and binocular coordination, visual fatigue parameters are obtained based on continuous training duration, pupil fluctuation and retina reflex change, a scoring result is dynamically corrected, and a visual fatigue evaluation result is obtained. Personalized, self-adaptive and quantitative safety control of the training process is realized.

The invention discloses a respiratory disease oxygen precise conveying system based on a sensor, and relates to the technical field of medical equipment, and the system comprises a sensing module which integrates multiple sensors to collect and process airway and physiological data of a patient; the disease matching module identifies disease types through database comparison; the dynamic adaptation module calculates exclusive oxygen concentration based on a multi-mode fusion initial algorithm; the conveying module executes adjustment; the closed-loop feedback module continuously fine-tunes the oxygen concentration through a closed-loop stepped fine-tuning algorithm to form a closed-loop link, so that accurate dynamic control of oxygen delivery is realized; according to the invention, multi-sensor collaborative acquisition and disease precise matching are combined with a dynamic algorithm and closed-loop feedback, so that individuation and dynamic oxygen delivery are realized, the system avoids misjudgment by relying on a standardized database, and the oxygen concentration, flow and pressure are ensured to be adjusted in real time along with physiological indexes of a patient through multi-parameter collaborative adjustment and stepped fine adjustment; the treatment comfort, the effectiveness and the long-term adaptability are improved.

The invention relates to the field of electrical power grid operation and maintenance, in particular to a differentiated operation and maintenance method and system based on real-time weak links of equipment. According to the method, online monitoring data and power supply reliability operation data of power distribution network equipment are collected in real time to form an equipment state multi-source data set; based on the data set, calculating an equipment health degree evaluation result by adopting a state evaluation model, and obtaining an importance degree evaluation result through an analytic hierarchy process in combination with the position and load importance of the equipment in the network topology; and inputting the two results into a preset operation and maintenance strategy matrix to match a corresponding operation and maintenance strategy type, and finally generating a differentiated operation and maintenance strategy instruction containing specific operation and maintenance measures, an execution time window and a resource allocation scheme. According to the method and the device, the problems of lack of equipment-level pertinence and unreasonable resource allocation of an operation and maintenance strategy in the prior art are effectively solved, and the operation and maintenance accuracy and the resource utilization efficiency are improved.

The invention discloses a multi-modal remote sensing small target recognition method based on common-differential mode collaborative interactive fusion, and relates to the technical field of image recognition. Performing feature extraction and interactive fusion based on a double-flow backbone feature extraction network in the multi-modal remote sensing small target recognition model to obtain an infrared enhanced fusion feature and a visible light enhanced fusion feature respectively; the infrared enhancement fusion features and the visible light enhancement fusion features output by the corresponding convolution down-sampling module and the output layer in the two backbone feature extraction channels are spliced and then are subjected to neck feature fusion output to obtain a prediction image with a target recognition result. According to the method, infrared and visible light modal features are fully utilized, and common features and difference features of the infrared and visible light modal features are subjected to collaborative modeling and interactive fusion, so that the characterization level of the small target is effectively improved, and recognition of the remote sensing small target is more robust.

The invention belongs to the technical field of electric power measurement, and discloses a calibration method and system of an intelligent measurement switch and a multi-switch synchronous measurement method, and the method comprises the steps: obtaining voltage and current waveform data of the intelligent measurement switch under a nonlinear load condition, and extracting a frequency spectrum feature matrix of the voltage and current waveform data; constructing an amplitude-phase coupling error model representing a nonlinear incidence relation between amplitude fluctuation and phase deviation, inputting the spectrum characteristic matrix into the amplitude-phase coupling error model, and calculating an amplitude-phase coupling error vector; performing vector decomposition on the amplitude-phase coupling error vector, and separating out an in-phase component error and an orthogonal component error; and generating a calibration compensation coefficient according to the in-phase component error and the orthogonal component error, and performing vector calibration on the intelligent measurement switch, thereby improving the calibration precision of the intelligent measurement switch.

The invention relates to a fault simulation method suitable for engineering simulation of an electric vertical take-off and landing aircraft. The method comprises the following steps: injecting a target fault into a target simulation model of a to-be-tested electric vertical take-off and landing aircraft; controlling a target fault signal to carry out cross-system transmission on a plurality of target airborne systems of the to-be-tested electric vertical take-off and landing aircraft; wherein the target fault signal is a signal triggered based on a target fault; injection data of the target faults and operation data in the cross-system transmission process are obtained so as to be used for evaluating fault responses of the multiple target airborne systems. Through the method and the device, high-fidelity matching of fault injection and an actual fault response scene is realized, and the consistency of fault responses of a plurality of target airborne systems is optimized, so that the authenticity of fault simulation and the effectiveness of fault response evaluation of an electric vertical take-off and landing aircraft jig machine are improved, and the high-fidelity requirement of semi-physical simulation is met.

The invention provides an electric vehicle charging demand prediction method and system and electronic equipment, and relates to the technical field of deep learning prediction. Comprising the following steps: acquiring historical observation data and corresponding time characteristic data of an electric vehicle charging station; an MIFM prediction model is constructed, an initial input information coding module receives initial data and carries out parallel embedding processing, and unified input representation containing node specific adaptive embedding is constructed; the spatial-temporal information dynamic fusion module obtains the unified input representation, captures explicit geographic space dependence and implicit function correlation in parallel through a two-channel dynamic graph learning mechanism, dynamically integrates multi-layer spatial-temporal characteristics by using an adaptive Kalman filtering fusion strategy, and generates an enhanced fusion signal; and the space-time dependency modeling and prediction module learns the spatial relationship representation based on the enhanced fusion signal by using a stacked graph attention network, captures time dynamics through a time sequence decoding module, and generates a charging demand prediction result of a future time step.

The invention relates to the technical field of government affair services, in particular to an NLP entity recognition method based on semantic extension, which comprises the following steps: collecting multi-source time sequence data and generating an entrepreneurship ecological data graph through a dynamic time warping algorithm; dynamic evolution of a term library is realized by using a generative adversarial network, and a term semantic association graph is constructed in combination with a graph convolutional network; a double-path attention mechanism is deployed in a Transform encoder, and global semantics and local attention guided by terms are fused through a gating loop unit; modeling fuzzy query analysis into a Markov decision process, and optimizing a semantic extension strategy by adopting a reinforcement learning agent; multi-granularity features are extracted through a feature pyramid network, and model parameters are optimized in combination with a bidirectional long-short-term memory network and an online learning feedback loop; and finally, calculating entity service association strength by using a graph attention network, and generating an interpretable report based on a Shapley value attribution algorithm. A closed-loop learning system is formed, and the business starting policy matching accuracy is improved.

A self-adaptive control method of an aircraft wing and the aircraft wing wherein the self-adaptive control method comprises: constructing a prediction model, inputting a real-time external aerodynamic disturbance parameter to the prediction model, predicting a predicted disturbance error at a next moment, and realizing feedforward prediction compensation of external aerodynamic disturbance. The influence of predictable disturbance on the airfoil profile is eliminated in advance; and then monitoring the airfoil pose to obtain tracking airfoil parameters, and carrying out deviation calculation on the tracking airfoil parameters and the target airfoil parameters to obtain an actual tracking error so as to provide a real-time airfoil pose feedback signal. And finally, the control assembly generates a control instruction based on the predicted disturbance error, the actual tracking error and the target airfoil profile parameter, the control instruction acts on the mechanical neural network to realize adaptive adjustment of the airfoil profile, and the airfoil profile continuously approaches the target airfoil profile neighborhood through a feedforward and feedback composite control mechanism.

The invention relates to the field of service life prolonging control, and discloses a reinforcement learning-based self-adaptive service life prolonging control method for a wind turbine generator, which is used for providing a reliable technical means for prolonging the service life of the wind turbine generator. Comprising the steps of collecting a unit operation state and key component health parameters, and generating multi-dimensional state information; establishing a damage evolution model, predicting the residual life and generating a health degree index; designing a multi-objective optimization strategy, and solving to generate a cooperative control instruction; after the instruction is executed, the model and the strategy are dynamically updated based on unit state feedback, and a closed-loop control system is formed. The service life of the wind turbine generator is effectively prolonged.

The invention provides a diabetic patient life management method and system in combination with traditional Chinese medicine knowledge, and relates to the field of medical health data processing, the method comprises the following steps: obtaining multiple groups of sample data, the sample data at least comprising personal information of sample patients and diabetic traditional Chinese medicine syndromes, and the personal information of the sample patients at least comprising diabetes index data; based on the multiple groups of sample data, multiple key traditional Chinese medicine syndrome discrimination units are determined, and a diabetes traditional Chinese medicine syndrome diagnosis scale is generated; based on the multiple groups of sample data, determining music types matched with different diabetes mellitus traditional Chinese medicine syndromes; determining the diabetic traditional Chinese medicine syndrome of the current user based on the personal information of the current user and the filling information of the diabetic traditional Chinese medicine syndrome diagnosis scale; based on the diabetic traditional Chinese medicine syndromes of the current user and the music types matched with different diabetic traditional Chinese medicine syndromes, music, traditional Chinese medicine health maintenance skills and traditional Chinese medicine recipes are recommended, and the method has the advantage of improving the quality of life management of diabetic patients.

The invention relates to the technical field of image semantic segmentation, in particular to an intelligent landslide identification method based on multi-source remote sensing image fusion. Comprising the following steps: calculating a gradient matrix and a water flow convergence index based on a digital elevation model, searching and determining a physical prior interval of cohesive force and an internal friction angle based on geological lithology data, and constructing an input tensor; extracting a surface semantic feature map of the optical image by using visual perception branches through a double-branch coupling network; based on a physical prior interval, mapping branches by using physical parameters, and carrying out nonlinear mapping to obtain a limited rock-soil mechanical parameter diagram; and calling a micro infinite slope stability layer, executing forward derivable calculation based on a limit equilibrium equation, generating a slope stability coefficient field, constructing physical attention gating, executing Hadamard product operation, and generating a semantic feature tensor. Through deep coupling integration and collaborative optimization of the visual perception branch and the physical parameter mapping branch, the true effectiveness of the obtained position data is ensured.

The utility model provides a shock wave balloon catheter with a backflow device and medical equipment, the shock wave balloon catheter comprises a balloon, a catheter, a fluid pump and a pressure reducing valve, and a shock wave generating part is arranged in the balloon; the balloon is arranged at the far end of the catheter, a pressurizing flow channel and a backflow flow channel are arranged in the catheter, the pressurizing flow channel is used for supplying conductive liquid into the balloon, and the backflow flow channel is used for recycling the conductive liquid from the interior of the balloon; the outlet end of the fluid pump is communicated with the pressurizing flow channel so as to provide conductive liquid with certain pressure for the balloon; the inlet end of the pressure reducing valve is communicated with the backflow channel so as to maintain the pressure of the conductive liquid in the balloon, and the outlet end of the pressure reducing valve is communicated with the inlet end of the fluid pump, so that bubbles formed by separation and electrolysis of the conductive liquid in the percussion process of an electrode in the balloon are discharged out of the balloon in time through the backflow channel. Bubbles are prevented from hindering shock waves from acting on calcification lesions, and the effective performance of the shock waves is improved.

The invention relates to the technical field of intelligent sensing detection, in particular to an underground water detection system for hydraulic ring geological engineering based on data acquisition. The specific implementation process comprises the following steps: receiving a water quality sensing signal, and inhibiting a background interference domain and calculating a water quality physicochemical characteristic vector by utilizing water multiphase flow interference separation logic and comparing a physical scattering spectrum with a polarization drift spectrum; inputting the water quality physicochemical characteristic vector into a water quality physicochemical dynamic response model, executing concentration gradient variation modulus analysis, inverting a performance kinetic energy index, comparing the performance kinetic energy index with a water chemical equilibrium critical threshold, and regulating and controlling the sampling frequency; when the sudden change event is judged, generating a transient capture signal to execute locking sampling, and when the threshold is not broken through, generating a baseline water quality inspection signal to execute steady state monitoring. According to the method, the detection frequency is automatically adjusted by calculating the evolution kinetic energy index, the physical background interference is inhibited by utilizing the cross-correlation analysis between spectrums, the deviation degree of chemical equilibrium of the water body is quantified, and the fidelity of underground water monitoring data is improved.

The utility model relates to electronic protector technical field, concretely is a kind of TVS device with automatic open circuit protection function, including device body, automatic open circuit protection mechanism and pin connecting mechanism, and automatic open circuit protection mechanism and pin connecting mechanism are fixedly connected in the inside of device body, in the utility model, through the setting of fusible wire, temperature sensor and memory alloy spring, the automatic open circuit protection of TVS device when encountering abnormal overcurrent or overvoltage is realized, fusible wire can rapidly fuse, and timely cut off circuit connection, prevent the further expansion of fault range, temperature sensor real-time monitoring temperature, when temperature abnormally rises, memory alloy spring will rapidly change under the signal driving of temperature sensor, the pressure generated by its deformation can assist fusible wire to fuse more quickly when reaching fusing temperature, greatly shorten the response time of automatic open circuit protection, greatly improve the security and reliability of circuit.

The invention relates to the technical field of soil improvement and ecological restoration, and discloses a liquorice planting method based on synergistic utilization of coal-based solid waste and desertified land, which comprises the following steps: crushing alkaline coal-based solid waste and acidic coal-based solid waste, mixing according to a mass ratio of 2: 8-4: 6, adding a modified humic acid-based heavy metal passivator and water, and uniformly mixing to obtain a mixture; uniformly mixing and aging to obtain a coal-based solid waste mixture; spreading the mixture on the surface layer of the desertification land, performing rotary tillage and deep tillage to mix the mixture with the sandy soil, and adjusting the pH value to be stable at 7.5-8.5; the treated liquorice seeds are sown, main roots are harvested in autumn of the third year, deep root systems and lateral root bud points are reserved, and overground straw is smashed and returned to the field; soil nutrition indexes are monitored regularly, other commercial crops are planted when the soil nutrition indexes reach a set threshold value, and if not, regeneration planting of the liquorice is maintained. Through synergistic compounding of acid-base solid waste and chelating of the passivating agent, substrate pH self-regulation and heavy metal resistance control are achieved, and the physicochemical property of sandy soil is improved.

The application discloses a data crawling analysis method and device based on an industrial internet, and a medium, and belongs to the technical field of industrial internet data processing, and is used for solving the technical problems that the industrial internet data crawling in the prior art cannot be compatible with multiple types of web pages and dynamic loading technology, lacks customized rule configuration, has weak anti-crawling capability, and has low data structuring degree. The method comprises the following steps: collecting user demand data of a user; performing customized configuration on the initial crawling rule under the relevant rule adjustment to obtain a customized rule; performing crawling processing on a target website under relevant dynamic web pages and static web pages, and based on an anti-crawling mechanism, monitoring and controlling corresponding crawling actions to obtain target webpage data crawled; performing data structure analysis processing on the target webpage data to obtain a data structure format; performing distributed storage on the data structure format to obtain data storage result information; and feeding back and adjusting the customized rule.

The invention provides a radioactive substance transportation monitoring system, and relates to the technical field of radioactive substance transportation safety monitoring. The radioactive substance transportation monitoring system comprises a transfer protection box and a monitoring unit integrated on the transfer protection box, and the monitoring unit is composed of a double-detector fusion module, a three-dimensional data linkage analysis module and an active emergency disposal module which are sequentially connected through a circuit. The double-detector fusion module comprises a GM counting tube and a scintillator detector which are arranged inside and outside the box so as to realize alpha, beta, gamma and neutron multi-nuclide coverage; the three-dimensional data linkage analysis module performs comprehensive judgment based on internal and external doses of the box, temperature and humidity and vibration data, and accurately identifies protection failure or article leakage; and the active emergency disposal module automatically starts gate closing and adsorption measures in an emergency. According to the system, the problems of monitoring blind areas, reduced protection performance, frequent false alarm, emergency passivity and the like are solved, and the transportation safety and the intelligent level are improved.

This invention discloses a method, system, equipment, and storage medium for configuring the capacity of a static synchronous compensator (STATCOM) in a SLCC valve hall, belonging to the field of high-voltage direct current (HVDC) transmission technology. The method includes: analyzing the LCC commutation process based on an electromagnetic transient model of the commutation circuit using LCC capacitor reactive power compensation to determine a first analytical relationship between the amplitude of the power frequency component of the first commutation current and the capacitor reactive power compensation capacity; determining an electromagnetic transient model of the SLCC commutation circuit operating with STATCOM fundamental reactive power compensation and harmonic elimination functions based on the SLCC topology; analyzing the SLCC commutation process based on the electromagnetic transient model of the SLCC commutation circuit to determine a second analytical relationship between the amplitude of the power frequency component of the second commutation current and the fundamental reactive power compensation capacity and harmonic reactive power compensation capacity; and determining the STATCOM configuration capacity based on the first and second analytical relationships and according to capacity equivalence constraints. The technical solution provided by this invention can ensure the safety of SLCC commutation and harmonic compensation capabilities while reducing the redundancy of STATCOM capacity configuration.

The present application relates to the technical field of tool positioning, and discloses a tool positioning management and control system and early warning method based on RFID and video fusion, which comprises the following steps: establishing an association mapping of RFID tag unique code and tool unique identification and constructing a tool information file; configuring an electronic fence based on a management and control area space model, collecting RFID tag signals to perform area attribution inference, generating an RFID side position state and performing first stage state determination; obtaining a monitoring video stream that is spatially registered with the electronic fence space range, performing tool target detection, tool category confirmation and cross-frame target tracking on the video picture to obtain a video side tool existence state; and fusing the RFID side position state and the video side tool existence state to perform second stage determination, and starting a hierarchical early warning strategy to output alarm information according to the determination. The present application reduces the false judgment and missed judgment caused by single sensing.

This utility model discloses an anti-glare cover for a lamp, including a lampshade with a driving cavity and a control circuit board cavity within it. The lampshade also has a control switch groove and a display groove connected to the control circuit board cavity. Several lamp bead recesses are provided on the lampshade, and several snap-fit ​​ears for securing the lamp body are integrally formed along the edge of the lampshade. Screw holes are integrally formed on the lampshade. This utility model has a reasonable structural design. The snap-fit ​​ears, combined with the lamp bead recesses, allow the lamp bead lens to be positioned within the recesses, improving anti-glare performance. Furthermore, the driving cavity and control circuit board cavity facilitate the installation and positioning of the drive power supply and control circuit board, enhancing installation convenience and effectiveness. It is easy to assemble and disassemble and has strong applicability.

The application provides a quality improvement method and system for hysteroscopic surgery image data, and relates to the technical field of image processing. The method comprises the following steps: acquiring a hysteroscope image of a target patient at a specific time point, and acquiring multi-modal physiological time series data of the target patient before and after the specific time point; performing time series feature fusion analysis on the multi-modal physiological time series data to obtain individual physiological cycle phase information corresponding to the specific time point; inputting the individual physiological cycle phase information into a pre-trained healthy uterine cavity image generation intelligent agent to output a standard healthy uterine cavity reference image corresponding to the specific time point; comparing the hysteroscope image with the standard healthy uterine cavity reference image, generating a pathological residual feature map, and enhancing the display of the pathological residual feature map. The technical problem that abnormal features are not prominent in the existing hysteroscope image is solved.

This invention relates to the field of nuclear safety equipment testing technology. It provides a method for optimizing parameters in accelerated reliability testing of nuclear safety-grade valves. The method involves the following steps: establishing a correlation model between accelerated stress and life parameters; calculating the acceleration factor and formulating an initial test plan; deriving the theoretical sample size based on the success-failure test method combined with confidence requirements; constructing an extended coefficient table using the range-extended test method to optimize test parameters; generating multiple accelerated test plans through chi-square distribution verification; eliminating plans that do not meet the life characteristic threshold; determining the optimal sample size, number of failures, and test cycle through comprehensive test cost and risk analysis; and finally outputting a complete test plan including the action interval time. This method solves the problems of limited test samples, insufficient failure data, low confidence levels, and difficulty in adapting accelerated models in existing high-reliability valve technologies.

The application relates to the technical field of vehicle emission control, and discloses a vehicle regeneration prompting method, device, equipment, medium and program product. The method comprises the following steps: acquiring a multi-dimensional parameter value; judging whether the SCR urea crystallization amount exceeds a first threshold value of the crystallization amount according to the SCR mixer inlet temperature and a urea crystallization risk index; and when the SCR urea crystallization amount exceeds the first threshold value of the crystallization amount, entering a first prompting mode. According to the technical scheme, the regeneration demand can be prompted according to the SCR mixer inlet temperature and the urea crystallization risk index, the performance decline of the vehicle caused by the urea crystallization accumulation can be effectively prevented, and the reliability and operation efficiency of the vehicle emission system are improved.

The present application belongs to the technical field of data processing, and discloses a gait visual feedback anti-falling safety warning method for a rehabilitation treadmill; including, converting clinical characteristic data of a patient into a network structure gating instruction set; collecting multi-modal original data in a patient's movement process in real time; inputting the multi-modal original data into a mechanism constraint engine to extract biomechanical mechanism characteristic data, neural mechanism characteristic data and cognitive mechanism characteristic data; based on the network structure gating instruction set, dynamically reconstructing internal node connection paths and data flow weights of a preset basic fusion network to form an individualized dynamic fusion model; outputting three-dimensional risk attribution data; according to the proportion distribution of each dimension in the three-dimensional risk attribution data, driving a visual feedback interface of the rehabilitation treadmill to perform differentiated anti-falling warning display of the corresponding dimension; and realizing gait visual feedback anti-falling safety warning for the rehabilitation treadmill.

The application discloses a kind of campus safety early warning method based on multi-modal fusion and AI vision, it is related to computer vision and intelligent security technology field, comprising the following steps: S1, access control passage perception dataset is constructed;S2, based on access control passage perception dataset identification passage object entering order and passage behavior characteristics;S3, facing relationship expression, in combination with gate occupancy state and authorized behavior record, matching relationship discrimination is carried out;S4, according to gate occupancy state and accompanying behavior characteristics, risk-driven evaluation is carried out;S5, according to risk response condition, linkage control behavior is executed and passage process record and strategy adjustment are completed.The problem that the same direction accompanying borrow line under the passage peak is not associated with the opening and closing rhythm of access control, leading to the problem that the trailing mixed in is difficult to identify in advance is solved.

The application discloses a kind of automatic cleaning device for shield machine cutter, it is related to tunneling equipment technical field, including including shield machine main body and cutter head body, the cutter head body is arranged on the surface of shield machine main body, the side annular array of shield machine main body is close to cutter head body and is provided with several water pipe grooves, the inside of water pipe groove is all fixedly connected with water outlet cavity, the inside of shield machine main body is located on the side of water outlet cavity away from cutter head body and is provided with annular water storage chamber, the annular water storage chamber is used to store water.The application can flush cutter and cutter head in real time when shield machine is normally tunneling, just remove in time when sundries is just attached, block mud cake formation and muck jam from source, continuously keep the surface of cutter clean, avoid cutter jam and eccentric wear problem from root.

The utility model discloses an ammonium nitrate solution concentration blending reation kettle with anti -explosion function belongs to reation kettle equipment technical field, the utility model discloses a reation kettle body is communicated with the discharge valve at reation kettle body bottom, can carry out even heating to solution through the electric heating plate in the reation kettle body inner wall bottom groove, avoid local temperature too high and cause ammonium nitrate to decompose gas and cause explosion, the cooperation design of stirring rod and top motor can carry out sufficient stirring to ammonium nitrate solution in reation kettle, make solution concentration distribution even. The annular ring and the explosion -proof pipe fixedly connected with the annular ring that reation kettle body surface sets up up and down, effectively enhanced the overall structural strength of reation kettle, the gas outlet pipe of top annular ring and the gas inlet pipe of bottom annular ring mutually cooperate, and the outside cold gas enters the space between the explosion -proof pipe and reation kettle body, and then even cooling is carried out to reation kettle body, and then gas is discharged to the outside from the gas outlet pipe, and the device has the advantages that the explosion -proof effect is good.

The invention provides a coal mine rock burst prevention method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring first monitoring data of a coal seam roof rock stratum, wherein the first monitoring data at least comprises a fracture event and micro-fracture distribution density of the coal seam roof rock stratum; determining that the rock burst risk exists in the coal seam roof rock stratum in response to the fracture event and the micro-fracture distribution density meeting the risk identification condition; at least one time of pressure relief treatment is conducted on the coal seam roof rock stratum, and different pressure relief agents are used in the at least one time of pressure relief treatment process; and second monitoring data of the coal seam roof rock stratum after pressure relief processing are obtained, and when the second monitoring data do not meet the risk identification condition, it is determined that rock burst risk prevention and control are completed. Therefore, according to the scheme, combined monitoring of various data can be achieved so that the rock burst risk can be accurately recognized, roof pressure relief is achieved through cooperative prevention and treatment of at least one time of pressure relief treatment, and therefore the pressure relief effect is improved.

This invention relates to the field of electrochemical technology, and particularly to a single-atom nickel-modified electrode material, its preparation method, and a reactor. An embodiment of this invention provides a method for preparing a single-atom nickel-modified electrode material, comprising: S1, subjecting a carbon felt to a surface hydrophilic treatment to obtain a hydrophilic carbon felt; S2, immersing the hydrophilic carbon felt in a first solution containing Ni ions, and adding a second solution containing organic matter, allowing for a complete reaction, and then growing a nickel-containing metal-organic framework material in situ on the hydrophilic carbon felt; S3, calcining the hydrophilic carbon felt containing the nickel-containing metal-organic framework material to obtain the single-atom nickel-modified electrode material. This invention provides a single-atom nickel-modified electrode material, its preparation method, and a reactor, which can provide a cathode material that combines efficient microbial colonization with interfacial stability.