73results about How to "Guaranteed long-term effectiveness" patented technology

The invention relates to the technical field of electric power data acquisition with an encryption function, and discloses an electric power data acquisition terminal with an encryption function and a method. By combining the environment data and the equipment state, the encryption process enhances the security and adaptability of data encryption. Environment and equipment data input ensures that encryption results are different, and potential safety hazards caused by static data sources are avoided. The data are reasonably combined through a seed generation formula, it is ensured that the seeds have enough randomness, and the brute force cracking risk is reduced. The key generation strategy generates a unique key through a seed, so that the attack resistance of the system is improved. The key matrix and random number generation strategy improves the unpredictability of the encryption algorithm. And dynamically updating the encryption matrix to prevent the encryption matrix from being cracked in long-term use. In the whole process, comprehensive protection of the data in acquisition, encryption and transmission is ensured, and the data is effectively prevented from being tampered or stolen.

The invention relates to the technical field of user personalized content pushing, in particular to a user personalized content pushing system based on big data and a promotion method. The method comprises the following steps: collecting user behavior and preference data through multiple channels; dynamically constructing user portraits, and enriching the user portraits in combination with multi-dimensional data; based on user portraits and content features, a recommendation model is constructed by using a deep neural network, and user preferences are accurately predicted through multiple hidden layers; through a push model and a multi-objective optimization method, the probability of pushed content is calculated in combination with indexes such as a click rate and a conversion rate, the push frequency and content selection are optimized, and the correlation of the pushed content and the user satisfaction are ensured; by monitoring user feedback in real time and adjusting a pushing strategy, intelligent decision and personalized recommendation of content pushing are realized, and long-term accurate pushing and improvement of user experience are ensured. According to the method, the accurate user portrait is constructed through multi-data source collection and processing, so that personalized content pushing is realized.

The invention belongs to the technical field of electromagnetic interference elimination, and discloses a method and system for processing electromagnetic leakage interference of an electromagnetic vibration table, and the method comprises the steps: starting a signal collection and analysis module, monitoring an electromagnetic signal generated in the operation process of the electromagnetic vibration table in real time, and recognizing an interference frequency range; a proper filter is selected or designed based on the identified frequency range through a filter selection and design module; a filter processing unit is utilized to install filters on necessary power lines and signal lines, and interference suppression measures are executed; the test and optimization module is operated, the filtering effect is evaluated, the configuration of the filter is adjusted according to needs, and the electromagnetic interference suppression effect is optimized; and the monitoring and adjusting module is continuously executed to adapt to the change of an experimental environment, so that long-term effective electromagnetic interference control is ensured. The invention provides a solution which is more accurate, effective and flexible compared with the traditional physical shielding, and is suitable for the occasion of carrying out high-precision vibration test on the magnetic sensitive sample.

The invention relates to the field of biological medicine, in particular to application of cepharanthine in preparation of a pathogenic bacterium biofilm scavenger, an anti-pathogenic bacterium medicine and a medical equipment coating material. Staphylococcus aureus is taken as a pathogenic bacterium, the removal effect of cepharanthine on a biological membrane is detected through biological membrane formation and destruction experiments, and the curative effect of cepharanthine on infection is evaluated by constructing a staphylococcus aureus infected mouse model. The result shows that the cepharanthine inhibits the formation of the staphylococcus aureus biological membrane and destroys the formed biological membrane; animal experiments show that the cepharanthine improves the survival rate of mice infected with the staphylococcus aureus, reduces the colonial colonization number of lungs of the infected mice, and improves the elimination capability of a host to pathogenic bacteria. Therefore, the invention has important significance in the aspects of research and development of targeted biological membranes and drugs for resisting drug-resistant bacterium infection, improvement of the curative effect of antibiotics, prolonging of the service life of the drugs and the like.

The invention discloses a series battery pack voltage detection device and detection method for dynamic equalization, and relates to the field of battery detection, the series battery pack voltage detection device comprises an equalization control module used for accessing each battery unit of a to-be-detected battery pack, receiving a preset equalization strategy, and outputting the equalization strategy to the to-be-detected battery pack; the charging and discharging state of each battery unit is adjusted in real time according to the battery voltage and temperature data; the voltage detection module is used for performing voltage data sampling on each battery unit in real time through a voltage sensor, and converting an analog signal into a digital signal through an analog-to-digital converter; the model construction unit is used for constructing a machine learning model for fault analysis, identifying and marking an anomaly set, outputting a fault cause and adjusting a strategy reference; the voltage and temperature data of each battery monomer are collected in real time, the abnormal state of the battery monomer is monitored, a dynamic adjustment strategy based on the influence coefficient is generated in combination with analysis of historical data by a machine learning model, the adaptability is higher, and the charging and discharging efficiency is effectively improved.

The method comprises the following steps: firstly, collecting flow information of an algorithm generated domain name (DGA domain name) and a benign domain name of a known classification label, wherein the flow information comprises an analysis IP address and Flow data of the domain name; performing primary processing on the collected flow data, counting the occurrence frequency of each resolution IP of a domain name, and screening out information such as a source address, a destination address and time from the Flow data; calculating eight characteristic values of the domain name according to the flow information, wherein the eight characteristic values comprise the user IP access number, the active frequency, the standard variance mean value ratio of the number of times of occurrence of each analysis IP and the like; putting the feature data into a C4.5 supervised classification model for training to obtain a classification model with classification capability; and finally, collecting flow information of to-be-classified domain names, calculating feature data, and putting the feature data into the trained classification model for classification. According to the method, the difference between the flow behavior expression and the benign domain name when the domain name is generated by an algorithm to carry out malicious activities is utilized, the two types of domain names are effectively distinguished, the antagonistic attack is resisted, and the security of the network is maintained.

The invention discloses a novel process for producing a high-quality liquid fertilizer by using an acetylisovaleryltylosin tartrate finished product liquid, and relates to the technical field of fertilizer preparation, and the novel process comprises the following specific steps: step 1, firstly, weighing polyoxyethylene sorbitan fatty acid ester, ethylenediamine tetraacetic acid disodium salt, cellulase and protease, and uniformly stirring; the preparation method has the advantages that the polylactic acid-glycolic acid copolymer serving as a functional high-molecular polymer has good biocompatibility and controlled release performance, and when a solution prepared from the polylactic acid-glycolic acid copolymer is emulsified and mixed with an alginate oligosaccharide solution, a uniform emulsion-like active synergistic carrier solution is formed; the emulsifying and mixing process enables the effective components in the two solutions to be fully and uniformly combined together to form a stable microsphere and micelle structure, so that the continuous and slow release of the acetylisovaleryltylosin tartrate and the synergistic plant growth regulatory factors thereof in the growth cycle of crops can be ensured, the fertilizer effect of the acetylisovaleryltylosin tartrate and the synergistic plant growth regulatory factors thereof can be fully exerted, and the crop quality is improved. Therefore, the problem that the fertilizer efficiency is not obvious in the prior art is effectively solved.

The invention belongs to the technical field of perovskite solar cell interface modification, and particularly provides a perovskite passivation material, a passivation unit and a perovskite cell. The perovskite passivation material provided by the invention comprises a vinyl thiophene compound. According to the invention, the perovskite layer is passivated and modified through the vinyl thiophene compound, and the passivation layer has a good passivation effect and effectively passivates defects in the perovskite layer; and high stability is achieved, the long-term effectiveness of the passivation layer is guaranteed, and the passivation effect can be stably kept for a long time. The passivation layer can greatly improve the photoelectric conversion efficiency of the device, and provides powerful support for the development of the fields of perovskite solar cells and the like.

The invention relates to the technical field of agricultural machinery, and particularly discloses a saline-alkali farmland planting ridging and film mulching device which comprises a connecting unit, a film releasing unit and a film mulching unit. The reliable connection of the mounting rack and the first connecting bracket with a traction machine ensures that the device can advance according to a preset track in the ridging and film covering process, so that the accuracy and continuity of operation are ensured; in addition, soil can be turned over before ridging and film mulching through a soil turning assembly fixed to a fixing plate, the soil structure is improved, the soil is looser, growth of crop roots and permeation of water and nutrients are facilitated, and through cooperation of all the components, the yield of crops is improved. The key problems of stability, sealing performance, adaptability and the like in the film material conveying and film covering process are effectively solved, efficient and reliable technical support is provided for saline-alkali soil crop planting, and improvement of the agricultural production benefits of saline-alkali soil and improvement of the ecological environment are facilitated.

The invention discloses a preparation method of a bentonite-containing composite material and an application of the bentonite-containing composite material in desertification control, and relates to the technical field of composite material preparation, the preparation method comprises the following specific steps: step 1, raw material preparation and pretreatment: selecting a high-purity bentonite mineral source as a basic material, and preparing a raw material; compared with the prior art, the preparation method has the advantages that bentonite, chitosan and other natural high-molecular polymers are synergistically compounded, and plant fibers are added for modification, so that multiple remarkable advantages are brought, firstly, chitosan has numerous active functional groups and can interact with the surface of bentonite and water molecules through hydrogen bonds, electrostatic interaction and the like, and the surface of bentonite can be modified; the plant fibers contain rich cellulose, the interlaced structure of the plant fibers can be embedded into a composite system, long-term effectiveness of the material in the desert environment is guaranteed when the material encounters external force, and moreover, chitosan can be converted into organic nutrients to nourish soil and continuously improve soil fertility after being degraded, so that the soil fertility is improved; the durability of the soil improvement effect is greatly improved.

The invention discloses a new energy power system network security intrusion detection method based on deep learning, and the method comprises the steps: obtaining the network attack case data of a new energy power system, carrying out the preprocessing of the obtained data, carrying out the analysis of a network flow parameter, a power parameter and a frequency parameter in the network attack case data, and carrying out the detection of the network security intrusion of the new energy power system. The method comprises the following steps: obtaining an attack expression index and a power expression model, combining the attack expression index and the power expression model into data, inputting the data into a pre-constructed deep learning model, and integrating the data to obtain a feature learning model which can comprehensively learn feature changes of network traffic and power system operation parameters when the network traffic and the power system operation parameters are attacked; the problem that in the prior art, only normal data features are concerned, and abnormal data learning is insufficient is solved.

The invention relates to the technical field of underground building foundation reinforcement and leakage prevention, in particular to an underground building foundation reinforcement and leakage prevention integrated device and method.The device comprises a movable rack, and a jolt ramming mechanism and an air drying mechanism are installed on the movable rack; the primarily-coated coating is impacted and compacted through the first compaction block and the second compaction block, the waterproof coating is powerfully pressed into holes in the inner wall of the foundation pit, a deeply-fused tight bonding layer is formed, and the interface bonding force and adhesive force between the waterproof coating and the inner wall of the foundation pit are greatly enhanced in the process; and the defect of insufficient bonding strength in the prior art is effectively overcome, so that the phenomena of peeling, cracking and overall falling of the waterproof coating in the later period are fundamentally prevented.

The invention relates to the technical field of wet tissues, in particular to a wet tissue for babies and a preparation method thereof.The wet tissue for babies comprises fiber cloth and liquid adsorbed by the fiber cloth, and the liquid comprises 1-2 parts of glycerin; 0.5-1 part of fir extract; 0.2 to 0.5 part of an oat extract; 0.1 to 0.2 part of a grapefruit seed extract; 0.1 to 0.3 part of a rosemary extract; 0.05 to 0.1 part of lactic acid; 0.05 to 0.1 part of vitamin E; 0.1 to 0.5 part of panthenol; 0.05 to 0.2 part of dipotassium glycyrrhizinate; the preparation method comprises the following steps: putting the fiber cloth into pre-wetting equipment, pre-wetting the fiber cloth to 10-20% of the weight of the fiber cloth, controlling the temperature to be 30-40 DEG C in the pre-wetting process, impregnating the pre-wetted fiber cloth with liquid, controlling the temperature of the liquid to be 20-30 DEG C, and controlling the impregnation pressure to be 1-5 MP. And the wet tissue does not contain any irritant or harmful chemical substances, so that the safety and the mildness of the wet tissue during cleaning of the skin of the baby are ensured.

The invention discloses a rat-ant-proof cable, comprising a waterproof cable core, an inner spacer, an outer spacer, a support sleeve, a sheath and an injection pipe. The inner spacer, the outer spacer, the support sleeve and the sheath are sequentially sleeved outside the waterproof cable core from the inside to the outside. An annular cavity formed by the support sleeve exists between the inner spacer and the outer spacer. The annular cavity is connected to the outside through the injection pipe. The rat-ant-proof slurry is injected into the annular cavity through the injection pipe. The free end of the pipe is detachably closed by a cover. The cable can achieve a long-term dual rat-ant-proof effect through a combination of physics and chemistry, and can prevent the erosion of water vapor. The cable has good safety and stability in use, is applicable to power transmission and signal transmission in various environments, and has broad application prospects.

The present invention discloses a voltage detection device and a detection method for a series battery pack for dynamic equalization, which relate to the field of battery detection. The voltage detection device for a series battery pack comprises: a balancing control module, which is used to access each battery cell of a battery pack to be detected, receive a preset balancing strategy, and adjust the charge and discharge state of each battery cell in real time according to battery voltage and temperature data; a voltage detection module, which is used to sample voltage data of each battery cell in real time through a voltage sensor, and convert the analog signal into a digital signal through an analog-to-digital converter; a model building unit, which is used to build a machine learning model for fault analysis, identify and mark abnormal sets, and output fault causes and adjustment strategy references; real-time collection of voltage and temperature data of each battery cell, monitoring the abnormal state of the battery cell, combining the machine learning model with the analysis of historical data, to generate a dynamic adjustment strategy based on an influence coefficient, which has stronger adaptability and effectively improves the charging and discharging efficiency.

The utility model discloses a water purification equipment sealing structure convenient to maintain belongs to water purification equipment technical field, including water purification equipment body, water purification filter core, six first mounting bolt, outer thread ring, second sealing washer, sealing cover and six second mounting bolt, the outer thread ring one side surface fixedly connected with a plurality of second spring, the utility model discloses, through setting up by first spring, first telescopic link, second spring and second telescopic link's buffer structure, the double seal that collocates first sealing washer and second sealing washer constitutes, can buffer the vibration that water purification equipment body runs and produces, and the problem that the sealing gap is produced to the fatigue deformation of sealing washer, the sealing gap that the sealing performance of existing equipment is led to because vibration transmission is solved pertinently is worn out slightly to another sealing washer still can maintain the sealing effect, further reduce the risk of sealing gap, as far as possible prevent the leakage, finally effectively guarantee the stable sealing performance.

The present invention provides a high-throughput power battery positive electrode material and a preparation method thereof, which belongs to the technical field of new energy battery electrode materials. Among them, the preparation method of the high-throughput power battery positive electrode material includes: weighing the raw materials, dividing the nickel source into two parts of unequal weight; respectively configuring the nickel source, cobalt source, and manganese source of large weight portions into solutions, mixing the solutions of the three to form a mixed salt solution to prepare a nickel-cobalt-manganese precursor; sintering the nickel-cobalt-manganese precursor with a lithium source for the first time; configuring the nickel source of small weight portions into a nickel salt solution to prepare a nickel hydroxide precipitate; modifying the nickel hydroxide precipitate to prepare a nickel hydroxide precipitate with a coating layer modified with zirconium dioxide on the surface; sintering the modified nickel hydroxide with the first sintering product for the second time to obtain a high-throughput power battery positive electrode material. The positive electrode material prepared by the above method can reduce the nickel-lithium mixed discharge phenomenon, has high-throughput characteristics, and can be widely used in fast-charging power batteries.

The application provides an intelligent substation anomaly detection method based on meta-learning technology, first, a multi-working condition task library is constructed for meta-training. Secondly, a double meta-knowledge learning framework is designed to learn task-level model initialization parameters suitable for rapid adaptation. Subsequently, online reconstruction error driven anomaly detection is deployed, and the adapted model is used to calculate data reconstruction error in real time, and combined with the adaptive threshold to accurately distinguish and alarm grading. Finally, the system supports a dynamic updating mechanism, which continuously collects verified samples and periodically triggers meta-updating. The application significantly reduces the data dependence and deployment cost in new scenarios, improves the model's generalization ability to multiple working conditions and sensitivity to rare anomalies through meta-knowledge sharing, and ensures the long-term effectiveness of the detection system through online learning mechanism, providing an efficient, adaptive and evolutionary security protection solution for intelligent substations.

The present application relates to the technical field of bearing life prediction, in particular to a kind of gradient composite coating sliding bearing life prediction method, comprising the following steps: step one, build the coating degradation physical simulation model of multi-field coupling;Step two, adopt active learning algorithm to build high-precision proxy model, design active learning query strategy;Step three, online monitoring and multi-domain feature extraction;Step four, real-time state mapping and life prediction based on transfer learning;Step five, prediction result output and model updating.The present application can improve the accuracy of gradient composite coating sliding bearing life prediction, greatly reduce the operation load, and improve the prediction efficiency of bearing life.

The invention belongs to the field of plant vegetative propagation and germplasm preservation, and particularly relates to a method for preserving vegetative propagation materials and germplasm of zamioculcas zamiifolia through dry tubers, which comprises the following steps of: cultivating tubers through production of underground parts of zamioculcas zamiifolia plants or cuttage of small leaves, leaf axes, tubers and root cutting sections of compound leaves, selecting tubers which are not budded after formation, and cutting the tubers into dry tubers; the method comprises the following steps: cleaning tubers with clear water, airing, classifying the tubers according to the diameters of the tubers, airing until the water content is less than 50%-30%, and storing the aired tubers in a dry environment and keeping the regeneration capacity, the invention provides a method which is suitable for long-term storage and preservation, convenient to transport and convenient for breeding production operation, breeding material storage and germplasm material storage through air drying and dehydration treatment.

This invention belongs to the field of heavy metal pollution remediation technology, and relates to the preparation and application of a cadmium passivating agent for weakly alkaline soil. The weakly alkaline soil cadmium passivating agent mainly comprises the following components by weight: 30-50 parts of a mineral complex, 40-60 parts of a bioactive component, and 5-15 parts of an auxiliary stabilizer. The mineral complex includes natural sepiolite, calcium-based bentonite, and a polyether-polyester diblock copolymer; the bioactive component includes microbial agents, phosphorus-modified biochar, lecithin, and phosphatidylserine; and the auxiliary stabilizer includes nano-hydroxyapatite and a chitosan-grafted polyaspartic acid complex. This weakly alkaline soil cadmium passivating agent exhibits excellent remediation effects on cadmium in contaminated soil, effectively preventing or reducing the entry of cadmium and other heavy metals into the food chain, and has significant market potential.

This invention discloses a leakage current detection method for explosion-proof distribution boxes, specifically relating to the field of electrical safety technology in flammable and explosive environments. It addresses the problems of leakage signal attenuation and insufficient detection sensitivity caused by the eddy current effect of metal explosion-proof enclosures. The method acquires the original leakage current signal from the wires inside the box and constructs an eddy current compensation factor based on the enclosure material and thickness for gain compensation. Simultaneously, it collects the surface temperature distribution and three-dimensional magnetic field components of the enclosure, and determines the compensation failure state through collaborative analysis of the high-temperature region migration acceleration and magnetic field polarization angle offset. When compensation is effective, it calculates the area fraction of the spatial magnetic field curl on the enclosure surface; when its temporal gradient exceeds a preset threshold, it triggers a tripping action, overcoming the shielding effect of the enclosure eddy current on weak leakage current signals, and achieving high-sensitivity leakage current protection while maintaining explosion-proof integrity.

This invention provides a high-wear-resistant polyamide composite material and its preparation method. The modified carbon nanotubes of this invention, due to their nanoscale structural characteristics, can effectively exert a nano-reinforcing effect, improving the mechanical strength and anti-slip and wear-resistant properties of the polyamide composite material. On one hand, the fluoroalkyl chains grafted onto their surface improve compatibility with polytetrafluoroethylene (PTFE), while the amide groups from N,N'-methylenebisacrylamide enhance the interfacial bonding between the carbon nanotubes and the nylon matrix, effectively preventing filler agglomeration and precipitation. On the other hand, the hydroxyl groups can interact with the carboxyl groups of the nylon matrix, enhancing the material's mechanical properties and anti-slip and wear-resistant properties. Furthermore, the good interfacial compatibility of the modified carbon nanotubes improves the bonding state between PTFE and the nylon matrix, enhancing material performance. Additionally, this invention modifies glass fibers with polyethyleneimine, which facilitates their interaction with other components, further improving material performance.

The utility model relates to battery energy storage device technical field especially a kind of sodium energy storage communication wire harness protection mechanism, including U-shaped protection groove, the surface of the U-shaped protection groove is sprayed with corrosion-resistant layer, the surface of the U-shaped protection groove is provided with U-shaped hole, the lower portion of U-shaped protection groove is provided with baffle, the surface of baffle is provided with wire harness outlet.The utility model can arrange wire harness in U-shaped protection groove, can provide physical protection for communication wire harness, prevent wire harness from being collided, extrusion mechanical damage by external object in container transportation and running process, guarantee the integrity of wire harness, prevent external environmental factors such as water, fire, corrosion from causing damage to cable or wire, ensure the normal use and safety of cable or wire, while cable or wire maintenance and replacement cost can be reduced, production efficiency and economic benefits can be improved, the aesthetic degree and durability of wire can be improved, so that it is safer, more reliable and durable.

The invention discloses an IT asset management system and method based on data analysis, and relates to the technical field of business information management and intelligent decision, and the system comprises a data fusion module, a digital accompanying shadow construction module, a deduction analysis module, a decision generation module and a dynamic coupling relation digital accompanying shadow calibration module. According to the method, a dynamic digital accompanying shadow containing a physical environment and business logic dual coupling relationship is constructed, and simulation deduction of operation and maintenance operation is carried out on the dynamic digital accompanying shadow, so that fundamental transformation from passive response type operation and maintenance to active prediction type risk management is realized. The method can reveal and quantify hidden cascading risks generated due to physical proximity or business dependence, so that an operation and maintenance team can predict potential chain influences on the whole production system before executing any operation, most secondary fault risks are eliminated in the bud state on the premise that actual production safety is not affected, and the production efficiency is improved. And the stability and the operation toughness of the system are enhanced.

The utility model relates to a mining filling drainage device which comprises a box body, a feeding stirring part is arranged at the top of the box body, a drainage pipe and a support are arranged at the bottom of the box body, and a filtering device is obliquely arranged in the box body. The filtering device comprises a plurality of frames which are obliquely inserted into the box body at intervals, the inner surface of each frame is connected with a filter screen, and filter holes of the filter screens are sequentially reduced from top to bottom; each frame is slidably inserted between two supporting strips, and the supporting strips are symmetrically arranged on the inner side wall of the box body in pairs; the frame is fixedly connected with the box body in contact with the frame through a plurality of positioning pins; a moving frame is arranged above each filter screen and is connected between the two side walls of the box body in a sliding manner, and a cleaning brush is arranged at the bottom end of each moving frame and is positioned on the upper surface of the corresponding filter screen. According to the device, efficient filtering and convenient cleaning are achieved through the multi-stage filter screen design and the movable frame cleaning brush mechanism, the problems that in a traditional device, disintegrating slag is mixed into a water body and the filter screens are blocked are effectively solved, and thorough separation of the disintegrating slag and the water body and long-term effectiveness of the filter screens are guaranteed.

The invention discloses a roof assembly part of a transformer substation and an assembly type roof, and relates to the technical field of roof construction. The roof assembly part comprises a bottom plate, an inner core structure, a first connecting structure, a second connecting structure and a panel; wherein a mounting position is formed on the bottom plate; the inner core structure comprises a waterproof layer and a heat preservation layer which are sequentially arranged from top to bottom, and the heat preservation layer is installed at the installation position; the first connecting structure and the second connecting structure are arranged at the two ends, in the transverse direction, of the inner core structure correspondingly, the first connecting structure and the second connecting structure are both installed at the installation position, the first connecting structure is used for being connected with the second connecting structure of another roof assembly part, and the second connecting structure is used for being connected with the first connecting structure of another roof assembly part; and the panel covers the tops of the waterproof layer, the first connecting structure and the second connecting structure. According to the roof assembly part, the construction efficiency of roof construction can be improved, and the construction period is shortened.

The invention belongs to the technical field of artificial intelligence and environment monitoring, and particularly relates to a carbon emission intelligent prediction optimization system. The invention aims to solve the problems of low prediction precision, response lag and lack of closed-loop regulation in the prior art. The system collects multi-source data through a carbon source sensing layer, extracts spatio-temporal features through a feature engineering engine, predicts the emission trend through fusion of a physical mechanism and a deep learning two-channel model, generates a dynamic regulation and control strategy based on multi-objective optimization, and realizes closed-loop optimization and continuous learning in combination with execution feedback and a knowledge evolution center. And the prediction accuracy and the operability of emission reduction decision making are improved.

The present invention discloses a boring machine simulation cutting force loading device and loading method, which relates to the boring machine technical field, including a mounting frame for mounting the device as a whole. The present invention realizes contactless energy transmission through a magnetic coupler, effectively avoiding the test error caused by friction and bolt influence in traditional bolt connection, and improving the accuracy and reliability of the test. Secondly, the flexibility and adjustability of the magnetic coupling component enable the device to easily adapt to boring machines of various models and specifications, enhancing the versatility and applicability. In addition, the high-precision concentricity calibration and stable connection design between the magnetic coupling component and the boring machine spindle not only reduce vibration and wear, but also extend the service life of the equipment. In summary, the magnetic coupling component, with its high-precision, contactless, flexible and adjustable characteristics, provides solid technical support for boring machine simulation cutting force loading test.

The invention belongs to the technical field of artificial intelligence and medical health information processing, particularly relates to an ICU critical patient multi-mode risk early warning system based on deep learning, and aims to solve the problems that in intensive care, illness state prediction lags behind, multi-source data fusion is difficult, and single-index early warning precision is low. According to the system, high-frequency physiological signals, clinical observation values, inspection images and unstructured texts are collected through the data sensing layer, cross-modal embedding and comparative learning alignment are carried out through the heterogeneous fusion layer, and a shared semantic space is constructed; the time sequence reasoning layer utilizes an improved space-time diagram neural network to model a dynamic knowledge graph, and causal and time sequence dependence among clinical events is captured; and the risk decision-making layer outputs multi-dimensional risk probabilities of sepsis, respiratory failure and sudden cardiac arrest in parallel. The system supports online incremental learning and individualized time decay modeling, the timeliness, accuracy and interpretability of early warning are improved, and the method is obviously superior to a traditional method in clinical verification.