333results about How to "Improve universality" patented technology

The invention provides a vibration measurement device for motor equipment, and relates to the field of vibration measurement, and the device comprises a main body support frame, and the left and right sides of the top of the main body support frame are provided with self-locking worm gears A; a mounting angle adjusting shaft is rotationally mounted on the inner side of the main body supporting frame; self-locking worms A are arranged on the left side and the right side of the mounting angle adjusting shaft; the self-locking worm A is matched and connected with the self-locking worm gear A; guide pieces are arranged on the left side and the right side of the main body supporting frame. A mounting angle adjusting part is arranged in the middle of the mounting angle adjusting shaft; the vibration testing device can test vibration of motor equipment at different installation angles and output angles, the universality and accuracy of the vibration testing result of the device are improved, and the problem that the vibration amplitude of the motor equipment is affected to a certain extent due to installation modes at different angles is solved. And a vibration measurement result obtained by only testing plane installation does not have universality.

The invention discloses a method for implementing intelligent management and control of a special vehicle operation process based on a virtual space. Only a laser radar and an optical camera which are deployed in a special vehicle operation site and have overlapped detection view fields are used as external sensing equipment to synchronously collect operation environment data; based on the working environment data, constructing a three-dimensional virtual space containing the semantic information of the electrified equipment, and setting a virtual electronic fence to form a security defense area; based on laser radar real-time point cloud data, point cloud clusters of different rigid parts of the special vehicle are identified through segmentation and clustering, and a theoretical three-dimensional contour is generated; extracting a two-dimensional edge of the vehicle part through semantic segmentation based on the optical camera image data, and generating a three-dimensional semantic contour; fusing the theoretical three-dimensional contour with the three-dimensional semantic contour to obtain a high-precision dynamic three-dimensional contour of the moving part of the special vehicle; and calculating the shortest distance between the high-precision dynamic three-dimensional contour and the boundary of the virtual electronic fence, and taking the shortest distance as a reference for executing graded early warning or operating intervention on a special vehicle.

The invention belongs to the technical field of communication, and particularly relates to a router system service exception self-healing method based on cloud AI, which comprises the following steps: deploying an exception detection module at a router end, collecting system logs and state data in real time and generating a standardized exception report; uploading the report to a cloud AI server through an encrypted MQTT protocol; the cloud calls a hybrid analysis model composed of a rule matching engine, a machine learning classifier and a reinforcement learning decision network to generate a self-healing strategy instruction packet; the router end receives and executes the strategy, completes service restart, configuration rollback or hotfix loading and other operations, and verifies the self-healing effect; when communication interruption exceeds a threshold value, an embedded loopback self-healing subsystem is automatically activated, and abnormity is independently handled based on a local strategy library. According to the technical scheme, millisecond-level abnormal response and high-success-rate autonomous recovery can be achieved, the network availability and the service continuity are remarkably improved, and the disaster recovery self-healing capacity is still achieved when the cloud end is disconnected.

The invention belongs to the technical field of computer software and data processing, and provides a differential upgrading method for a compressed file, which is divided into a differential stage and a reduction stage: the differential stage: decompressing an original compressed package of a starting version and an original compressed package of a target version; unifying and standardizing file permissions for the two decompressed folders, and modifying, accessing and changing timestamps; re-compressing to generate a first new compressed file and a second new compressed file with byte-level certainty; generating a first difference file based on the difference between the standardized directory structure and the content; comparing the second new compressed file with the original compressed file of the target version, performing lossless analysis on the ZIP metadata, and performing structured modeling on difference information to generate a second difference file; in the reduction stage, standardization, first differential reduction, recompression and second differential driven metadata accurate reconstruction are sequentially executed, and a result completely consistent with the byte level of the original compressed file of the target version is output. According to the method, the differential compression ratio and the restoration fidelity can be improved.

The invention discloses a method for improving size matching of an outer tent and an air column of an inflatable tent. The method comprises the following steps that S1, preset deformation parameters of the outer tent in the machining process and preset deformation parameters of the air column when the air column is pressurized to rated pressure are obtained; s2, on the basis of the preset deformation parameters of the outer tent, compensation calculation is conducted on the blanking size of the outer tent sample division piece; cutting and splicing outer tent sample dividing pieces according to the compensated blanking size to form an outer tent; s3, based on the preset deformation parameters of the air column, performing compensation calculation on the modeling size of the air column; and the air column is manufactured according to the compensated modeling size. The technical problems that in the prior art, shrinkage of an outer tent material in the machining process and expansion of an air column material in the pressurized state are not considered, the size of a formed outer tent is mismatched with the size of the air column, and then air column installation bending, product assembling difficulty, material waste and appearance quality defects are caused are solved.

The invention discloses a 3D printing method with a coating supporting structure and a supporting assembly, and belongs to the technical field of additive manufacturing. According to the method, a traditional thought of printing a second structural material is abandoned, a functional coating used for reducing the binding force is innovatively arranged on the upper surface of a formed supporting structure, and then a workpiece is printed on the coating. The coating provides temporary bonding force in the printing process so as to stabilize a workpiece, and after printing, the bonding force is greatly weakened so that the support can be easily peeled off. The invention further provides a post-processing G code program for realizing the method and an integrated gluing device, and the post-processing G code program and the integrated gluing device can realize the expansion and contraction of the refill through mechanical triggering by utilizing the movement of the printer without additional driving. The support assembly is a ready-to-use component which is pre-coated with the coating. According to the method, the contradictions of poor supporting quality of a single material and high supporting cost of multiple materials are fundamentally solved, stable printing, easy removal and high interface quality are realized on the premise of not increasing the types of printing materials and not depending on multi-nozzle equipment, the cost is remarkably reduced, and the efficiency is improved.

The application relates to the technical field of nanomaterial preparation, and particularly discloses a carbon nanotube preparation method based on carbon source and plasma time sequence cooperation and a carbon nanotube. In the gas phase deposition process, carbon source gas is input in a pulse mode, and a pulse type plasma is synchronously applied, wherein the carbon source input pulse and the plasma output pulse are time-differently matched, the carbon source supply window and the plasma action window form a non-fully-synchronized time sequence coupling relationship, the carbon source activation, transportation, deposition and structure reconstruction process are controlled in the time dimension, and meanwhile, the carbon source gas is introduced from a position close to the plasma action area to maintain the pulse opening and closing characteristics. The method can improve the growth selectivity of the carbon nanotube, reduce the defect density, and is suitable for controllable preparation of single-wall carbon nanotubes. The single-wall carbon nanotube with a semiconductor content greater than or equal to 83% can be prepared with high selectivity, and the product has the advantages of few defects, high purity and high yield.

The application relates to the technical field of data storage, and discloses a memory particle testing method, which comprises the following steps: since a 32-bit memory particle involves a first channel (16 bits) and a second channel (16 bits), the first channel (16 bits) and the second channel (16 bits) of the 32-bit memory particle correspond to physical blocks in the 32-bit memory particle, only the first channel is involved in a 16-bit memory particle, and the first channel corresponds to the physical blocks in the 16-bit memory particle; all memory spaces of the 16-bit memory particle are scanned through a program of a 32-bit testing system, if an error occurs in the program, it is determined that the corresponding program involves the second channel, code involving the second channel in the testing system is found, and the code corresponding to the second channel is shielded. The 32-bit testing system is compatible with the two kinds of particles through the means of channel shielding, code modification, address mapping and the like.

The invention discloses a swelling microneedle patch and a preparation method thereof. The swelling microneedle patch comprises a backing and a swelling microneedle array adhered to the backing, the swelling microneedle array comprises a plurality of microneedles; the microneedle is in the shape of a cone or a rectangular pyramid; the height of the microneedle is 100 to 1000 [mu] m; the diameter of the tip end of the microneedle is 5-30 microns; the diameter of the bottom of the microneedle is 50-500 [mu] m; and the center-to-center distance between every two adjacent microneedles is 50-2000 microns. The swelling microneedle patch provided by the invention can overcome the barrier action of cuticle to penetrate subcutaneously and absorb subcutaneous tissue interstitial fluid, and is simple in preparation process, low in cost and high in universality. The patch is combined with a colloidal gold lateral chromatography test strip, so that the limitations that in-vitro diagnosis of infectious diseases depends on a blood sample, professional medical personnel are needed for operation, the subject compliance is poor and the like can be solved, and the patch is suitable for rapid screening and diagnosis of the infectious diseases.

The invention discloses a tulip EST-SSR (expressed sequence tag-simple sequence repeat) molecular marker as well as a primer composition and application thereof. According to the invention, 15 pairs of tulip EST-SSR molecular markers and a primer composition thereof are obtained through screening, a to-be-detected tulip variety resource DNA is extracted, the 15 pairs of EST-SSR primers or synthetic fluorescent primers are respectively used for PCR amplification, a PCR product is subjected to PAGE detection or fluorescent capillary electrophoresis, and the EST-SSR fingerprint of the tulip variety resource is constructed. The method and the basis are provided for tulip variety breeding, variety authenticity identification, known variety library construction and the like.

The application discloses an enzyme-electron medium micro-nano composite for biosensing and a preparation method and application thereof. A dehydrogenase for electrochemical detection and an electron medium are jointly loaded in a cavity of a carrier, the carrier is contracted through chemical or physical stimulation, and electron medium molecules in the cavity are forced to be distributed around active centers of the dehydrogenase, so that a contractible limited microsphere structure is obtained. The enzyme-electron medium micro-nano composite obtained by the application can significantly improve a response current generated by unit enzyme catalysis, enhance the stability of the enzyme, and effectively prolong the service life of a sensor.

This invention belongs to the field of numerical electromagnetic field solution, specifically a mesh adaptive method based on reconstructive posterior error estimation. The invention first performs finite element modeling of the target microwave component, introducing boundary conditions and excitations to establish a corresponding electromagnetic simulation model. Then, a tetrahedral mesh is used to divide the solution domain, and finite element electromagnetic simulation analysis is performed on the model to calculate the electric field at the centroid of the four faces of the tetrahedral mesh. The least squares principle is then used to refit the electric field on the tetrahedral mesh to reconstruct a first-order linear fitting expression. Next, the reconstructed solution at the nodes is calculated using the reconstructed fitting expression, and posterior error estimation is performed based on the electric field at the nodes. Finally, the mesh is refined according to the error on the tetrahedral mesh, and finite element electromagnetic simulation analysis is performed again until the finite element solution meets the accuracy requirements. This invention has the advantages of simple engineering implementation, low computational cost, and high universality.

This utility model discloses a high-efficiency thermal insulation device for an independent LNG tank, specifically relating to the technical field of thermal insulation devices. It includes a chassis, several support seats with a supporting mechanism fixedly connected to their upper parts, a positioning component symmetrically fixedly connected to the front and rear sides of a sealing mechanism, a thermal insulation mechanism fixedly connected to the upper part of the supporting mechanism, and a second sealing mechanism movably connected to the upper right side of the thermal insulation mechanism. This high-efficiency thermal insulation device for an independent LNG tank utilizes the supporting mechanism to provide stable support for the thermal insulation mechanism and the inner tank, while the positioning component locks the first sealing mechanism to the left side of the supporting mechanism. The thermal insulation mechanism allows for the loading of nano-insulation material, and the second sealing mechanism seals the open end on the upper right side of the thermal insulation mechanism, improving the device's practicality and versatility.

The invention discloses a cooperative control method for manufacturing precision between complex thin-wall microsphere shell component forming processes, and relates to the technical field of microsphere shell component machining. The invention relates to a multi-process forming method for a micro-spherical crown structure on the surface of a complex thin-wall micro-spherical shell component in the prior art. According to an existing manufacturing precision keeping and reference transferring method, due to factors such as low soft and brittle hardness of a workpiece material, high precision requirement and multiple processes, the pose precision and the manufacturing precision of a micro-spherical shell are difficult to keep in multi-process circulation. The device is used for four workpiece circulation processes of material milling removal-laser etching marking-milling quality characterization-laser local modification-surface quality detection corresponding to three processes of milling removal of a micro spherical crown structure on the surface of a thin-wall micro spherical shell component, laser modification and measurement characterization. All the steps cooperate to achieve high-precision forming of the micro-spherical crown structure on the surface of the complex thin-wall micro-spherical shell component. The method is used for forming the complex thin-wall microsphere shell component.

This invention discloses a method and system for labeling prompt words in a large-scale communication domain model based on knowledge graphs. Belonging to the fields of communication technology and artificial intelligence, it addresses the following technical problems: low efficiency in labeling specialized terms in communication domain prompt word annotation, low accuracy and efficiency of automatic recognition, limited prompt word dimensions, and lagging domain knowledge. The method includes: sequence labeling and entity extraction using a trained combined model to output entities; generating relation triples as candidate relations using a trained generator, and scoring and ranking the selected relation triples using a trained discriminator; semantic parsing of user input to extract key entities and intents; multi-hop reasoning from a dynamic knowledge graph to retrieve relevant entities and relations; eliminating illusory content using a trained GAN network; generating entity prompt words from three levels: basic, extended, and application dimensions; and introducing a triple quality verification mechanism.

The invention relates to the technical field of disaster early warning processing, in particular to a mountain torrent disaster early warning system based on deep learning and air-space-ground integrated perception. The system comprises the following modules: a space-air-ground sensing module, an edge calculation preprocessing module, a deep learning prediction module and an intelligent decision and early warning module. Wherein the air-space-ground sensing module is used for collecting multi-source data; wherein the multi-source data comprises earth surface deformation data obtained through a spaceborne synthetic aperture radar, high-precision topographic data obtained through an unmanned aerial vehicle laser radar, hydrological sensing data obtained through a ground internet-of-things distributed sensor, and meteorological numerical forecasting data obtained through a meteorological data interface. Through air-space-ground integrated perception, physical constraint deep learning and edge intelligence technologies, mountain torrent multi-source data collaborative acquisition and accurate mountain torrent disaster prediction are realized, so that the comprehensiveness, reliability and timeliness of mountain torrent disaster early warning are improved.

The application relates to the computer technical field, in particular to a page processing method and device, electronic equipment and storage medium, adopting a standard language, converting at least one original jump component based on an original language contained in an original application page into corresponding target jump components respectively; determining page jump indication information between the original application page and each other application page based on the at least one original jump component; adopting the standard language, converting at least one original page element based on the original language into corresponding target page elements based on the element conversion mode corresponding to each original page element contained in the original application page; and sending the obtained at least one target jump component, page jump indication information and at least one target page element to the search server for associated storage. In this way, the richness of search results can be improved.

The application discloses a reinforcing steel segment integral hoisting device suitable for general straight thread connection, comprising: a forming jig frame, which comprises a plurality of frame bodies arranged around the outer periphery of the reinforcing steel segment; a lifting device is arranged on the top of the frame body; a whole forming jig frame is arranged on one side of the frame body towards the center of the forming jig frame, and the whole forming jig frame is connected with the frame body through a plurality of first telescopic devices; a part hoist is arranged in the center of the forming jig frame; the part hoist comprises a main beam frame, and a main reinforcement limiting device is arranged on the main beam frame corresponding to the position of each main reinforcement, so that each main reinforcement is detachably connected with the main beam frame and is limited. The application also discloses a reinforcing steel segment integral hoisting method suitable for general straight thread connection and using the above device. The application realizes butt joint of the main reinforcement of the reinforcing steel segment and the main reinforcement already installed on the tower top by using a straight thread sleeve, reduces the use of customized joints, and improves economic benefits.

The application discloses a kind of based on carbon-based modified electrode microbial quantity dynamic evaluation method.The method comprises the following steps: preparing carbon-based modified electrode doped with target microorganism;Carbon-based modified electrode is used as working electrode, and reference electrode and counter electrode constitute three-electrode system, and is placed in the medium containing target microorganism to be measured in the electrochemical scanning of target microorganism, and the electrochemical response signal is collected;The electrochemical response signal is processed, and the characteristic electrochemical parameter of target microorganism metabolite is obtained;According to the preset detection time threshold selection model: when detection time is less than or equal to preset duration, linear model is used;When detection time is greater than preset duration, dynamic metabolism model is used;Characteristic electrochemical parameter is substituted into the selected model, and the number of microorganisms in the medium to be measured is calculated.The application can realize accurate quantification, anti-interference detection and rapid dynamic evaluation of the number of microorganisms, and significantly improve detection efficiency and accuracy.

The invention provides an adversarial sample detection method and device and electronic equipment, and relates to the technical field of artificial intelligence security. The method comprises the following steps: extracting original features based on an image classification model subjected to adversarial training and a to-be-detected sample; calculating the information entropy of the to-be-detected sample, and adaptively determining the anti-attack intensity based on the information entropy; performing adversarial attack on the to-be-detected sample based on the adversarial attack intensity to generate an attacked sample; extracting confrontation features based on the same image classification model and the attacked sample; the original features and the adversarial features are fused to obtain a fused feature vector, a detection result is determined based on the vector and a trained adversarial sample detector, and the detection result is used for representing whether the to-be-detected sample is a clean sample or an adversarial sample. The defects that an adversarial sample detection method in the prior art is not high in generalization, only suitable for specific constraint conditions and difficult to adapt to actual scenes are overcome.

This invention discloses a non-destructive method for sex detection of chicken embryos in the early incubation period based on RF-DS image information fusion. Machine vision and a spectrometer are used to collect information on horizontally placed embryos at day 4 of incubation. Based on image and spectral preprocessing, image texture features and spectral features are extracted. Then, basic probability assignment functions (BPAs) are constructed using the RF classification results of two single-feature types as independent evidence. Decision-level fusion is performed using D-S evidence theory, and the final identification result is given based on the classification decision threshold. Experimental results show that the highest accuracy of the image and spectral single-feature RF models reaches 78.00% and 82.67%, respectively, while the multi-feature decision fusion identification method achieves an accuracy of 88.00%, with sex identification rates of 90.00% and 86.25%, respectively. The time for identifying a single egg is 2.843 seconds. These results demonstrate that this spectral-image information fusion method can improve the accuracy of sex identification in early incubation embryos.

This invention discloses an attribute fusion method and system based on unsupervised hybrid multimodal and ternary adaptive transfer autoencoder, belonging to the fields of artificial intelligence and seismic exploration. The method includes: constructing an unsupervised hybrid multimodal adaptive weighted feature fusion autoencoder (UHM-AWFFA) network, where the encoder uses a multi-branch independent encoder to extract deep independent features of multiple seismic attributes and dynamically fuses them through a weighted feature fusion layer; the decoder performs hierarchical reconstruction of the fused features, simultaneously outputting the reconstruction results of each attribute and the fused attribute profile; training is performed using an interactive reconstruction loss function, and fine-tuning is performed using a ternary multimodal adaptive dynamic transfer learning (TE-MADT) strategy, including a gradient-driven adaptive thawing mechanism, a multimodal collaborative transfer strategy, and a cross-modal knowledge distillation mechanism. This invention achieves nonlinear intelligent fusion of seismic attributes, effectively uncovers deep coupling relationships between attributes, and improves the geological interpretation accuracy of the fused profile.

This invention provides a dual U-shaped coupling mechanism and an underwater constant-voltage wireless charging system and parameter design method. By optimizing the coil structure and parameter design method, it has strong applicability to underwater enclosed wireless charging, can significantly suppress mutual inductance drop, and maintain a high mutual inductance level to reduce seawater eddy current loss. It achieves constant voltage output for loads with different voltage requirements and power levels within a large angular offset range, improving the universality and adaptability of the underwater wireless charging system for underwater electromechanical equipment with different power requirements. At the same time, it takes into account the small size and weight of the system, which is more conducive to realizing the unmanned operation of the underwater wireless charging system.

This invention discloses a ROS-responsive Trichoderma-derived composite nanoparticle in the field of plant biocontrol, its preparation method, and its application in controlling tomato gray mold. The aqueous solution of the nanoparticles contains: mesoporous silica (MSN), 6-pentyl-2H-pyran-2-one (6PP), and the plant-responsive protein Epl1. The aqueous solution of the nanoparticles uses the main metabolites of Trichoderma, 6PP and Epl1, as its core. Both 6PP and Epl1 have dual functions of broad-spectrum fungicidal activity and inducing plant immunity. MSN is synthesized using the Stöber method and modified with an S-containing backbone and surface amino groups, providing protection, slow release, and precise delivery of 6PP and Epl1. The 6PP in the aqueous solution of the nanoparticles can be rapidly released in response to low pH and high ROS conditions. The carrier works synergistically with the two components, significantly improving the induction of resistance and direct fungicidal effects on tomato plants and fruits compared to single-component methods. It is particularly suitable for foliar fungal diseases of vegetable crops in the field and has high practical value for widespread field application.

The invention discloses an automatic reconstruction method and system for an isogeometric topology optimization result editable model, and the method comprises the following steps: obtaining an isogeometric topology optimization result, and obtaining hypersurface model data; extracting contour lines of each layer in a layered manner according to a set density threshold; arranging seed points through the contour line, dividing a background tetrahedral mesh, and deeply searching a mesh edge crossing a density threshold value; judging a corresponding relation between the contour lines, executing different reconstruction strategies according to different corresponding relations, and generating an NURBS curved surface by using an automatic skin technology and an adaptive fitting technology respectively; the contour lines at the opening are identified, the position relation between the cut area and the contour lines is determined, and cutting operation is executed to obtain a cut curved surface; and integrating the NURBS curved surface and the cutting curved surface, and outputting an editable entity. According to the method, the complexity of extracting the contour surface of the optimization result is effectively reduced, the precision of the result model is effectively improved, and the result has the advantages of editability and modifiability.

The invention relates to a method for preparing a hydroxyl naphthaldehyde derivative by using a cobalt complex, which comprises the following step: by taking naphthol and paraformaldehyde as raw materials and the cobalt complex containing an ortho-carborane benzothiazole structure as a catalyst, reacting at room temperature to synthesize the hydroxyl naphthaldehyde derivative. Compared with the prior art, the cobalt complex containing the ortho-carborane benzothiazole structure is applied to the reaction for catalytically synthesizing the hydroxyl naphthaldehyde derivative through the one-pot method, the use equivalent of the catalyst is low, the reaction condition is mild, the substrate universality is high, and the yield is high.

The utility model discloses a kind of stainless steel manhole covers with supporting rib, more specifically in the technical field of manhole cover, including manhole cover outer frame, the lower part annular array of bearing mechanism is fixedly connected with several conducting mechanism, the lower part middle position of bearing mechanism is fixedly connected with guiding mechanism, reset component lower side is fixedly connected with supporting mechanism outside reset component slidingly connected, the lower side of supporting mechanism outside annular array is fixedly connected with several positioning mechanism.The utility model is a kind of stainless steel manhole covers with supporting rib, the effect of dispersion transmission of the pressure suffered by manhole cover outer frame and bearing mechanism can be carried out by conducting mechanism, the effect of reset to bearing mechanism upwards can be realized by reset component, the effect of supporting manhole cover outer frame can be realized under the action of supporting mechanism, and the effect of installation and fixation to supporting mechanism can be realized by positioning mechanism, improve the practicality and universality of device.

This invention discloses a control system for an intelligent inspection robot for stormwater and sewage pipelines, comprising a microcontroller unit, a multi-sensor module, an image acquisition module, a communication module, and a power module. Through multi-sensor collaborative perception and intelligent decision-making mechanisms, it integrates multi-dimensional data such as images, distance, and environmental data, and employs adaptive path planning and obstacle avoidance algorithms, making it suitable for autonomous inspection tasks in complex pipeline environments. The image acquisition module integrates a high-definition camera and a WiFi module; the distance detection unit combines ultrasonic and infrared ranging sensors to achieve complementary ranging and improve detection accuracy; the environmental monitoring unit uses gas sensors to detect the concentration of toxic and flammable gases such as ammonia and sulfides in the pipeline in real time, and automatically triggers an early warning when the concentration exceeds the standard. This effectively solves the problems of existing pipeline robots, such as single sensor detection methods, poor environmental adaptability, and insufficient intelligence, improving inspection efficiency and system reliability, and reducing manual maintenance costs.

The utility model discloses a large -scale casting turning device, including base, the upper surface both ends of base symmetry is provided with at least two fixed blocks, is provided with the guide rod between two corresponding fixed blocks at the both ends of base, is provided with two trapezoidal seat on the guide rod and slides, the upper surface of trapezoidal seat is installed T -shaped piece, and the upper surface of T -shaped piece is provided with U -shaped groove. Large -scale casting only needs to install the rotating shaft or rotating column etc. at its both ends, then through hoisting equipment places it in the U -shaped groove of T -shaped piece, can form a stable gyrostat. The turning process does not need complicated hoisting positioning and repeated adjustment, only needs to exert a suitable initial force (such as human power or simple mechanical power), can utilize gravity or inertia and realize the 180 degree turning of casting. Significantly shorten the turning time, simplify the operation process, improve production efficiency.

The invention discloses a non-invasive continuous monitoring mattress for physiological indexes of newborns, and relates to the technical field of intelligent mattresses. A memory foam layer is arranged on one side of the spring supporting layer, a fabric layer is arranged on the other side of the memory foam layer, the memory foam layer comprises a first sponge layer and a second sponge layer, and a flexible monitoring layer is arranged between the first sponge layer and the second sponge layer. Through a multi-sensor fusion architecture and by combining the advantages of the pressure sensor, the fiber grating sensor and the temperature sensor, cross verification and complementary monitoring of different vital signs are realized, the accuracy and reliability of monitoring data are improved, and meanwhile, through a layered signal processing algorithm, the accuracy and reliability of the monitoring data are improved. A complete processing chain is formed from original signal preprocessing, feature extraction and data fusion, the problem of mixed signal separation is effectively solved, and stable monitoring performance can still be kept under the interference conditions of neonatal turnover, movement and the like.