118results about How to "High popularity" patented technology

The invention relates to the technical field of non-destructive testing, and discloses a non-destructive testing method for enhancing defect detection efficiency through deep learning, which comprises the following steps: step 1, acquiring multi-modal data of a target material, including data acquired through X-ray imaging, ultrasonic detection and infrared thermal imaging; 2, signal denoising processing is carried out on the obtained multi-modal data, signal denoising is carried out through wavelet transformation, and the wavelet transformation comprises the steps that multi-scale decomposition is carried out on signals, and high-frequency noise is removed through a soft threshold method; and step 3, carrying out image enhancement processing on the de-noised multi-modal data. The internal structural features of the material are captured from multiple physical dimensions by fusing multi-modal data of X-ray imaging, ultrasonic detection and infrared thermal imaging. The multi-modal fusion can make up for the deficiency of a single detection technology, so that the defect identification in complex structures and materials is more comprehensive and accurate, thereby significantly improving the detection precision.

The invention provides a road material automatic identification system and method based on multi-source remote sensing data fusion. The system comprises a remote sensing data acquisition module, a data preprocessing module, a wave band selection module, an image enhancement module, an image fusion module, a road extraction module, a feature extraction module, a feature optimization module, a classification and recognition module, a result post-processing module and a user interaction module. According to the road material automatic identification system and method based on multi-source remote sensing data fusion, image data of different sensors are fused, and advanced image processing and machine learning technologies are combined, so that high-precision and automatic identification of road materials is realized; therefore, the requirements of the fields of urban planning, road construction, maintenance and the like can be met.

The invention provides a diving kail ship. The diving kail ship comprises a ship body, a passenger compartment, a variable buoyancy system, an oxygen supply system, an underwater propelling system and a central control system. The ship body is of a main body structure capable of submerging the kail ship. The passenger compartment is arranged in the center of the interior of the ship body and used for containing passengers and is kept in a sealed state during diving. The variable buoyancy system comprises a plurality of buoyancy compartments, is arranged in the ship body, is close to the passenger compartment, and is used for controlling the buoyancy of the kalting ship to realize diving and floating; the oxygen supply system is arranged in the ship body, is adjacent to the passenger compartment and is used for providing oxygen for the passenger compartment; the underwater propelling system is arranged outside the ship body and used for providing underwater power and achieving underwater movement of the kalting ship; the central control system is arranged in the ship body and used for controlling work of the variable buoyancy system, the oxygen supply system and the underwater propelling system. The entertainment requirements of tourists on the water surface and underwater can be met.

The invention provides a digital human intelligent question-answering system and method for a water affair scene, and relates to the technical field of intelligent water affair, and the method comprises the steps: an inquiry receiving module obtains a user question through a digital human; the data updating module obtains real-time water affair data and updates the extended database; the question retrieval module is connected with the intelligent question and answer model and the water affair knowledge base, semantic matching retrieval is performed in the water affair knowledge base based on the user question through the intelligent question and answer model, and a matched question is obtained; an answer matching module queries a matching answer in an answer data set of the water affair knowledge base based on the matching question; the real-time data query module queries the associated real-time water affair data in the extended database based on the matching problem, and generates a real-time data query tag; and the interaction feedback module displays the matching answer and the real-time data query tag through a digital person. According to the invention, the technical problem of low water affair knowledge propagation efficiency caused by tedious water affair knowledge acquisition modes in the prior art is solved, and the water affair knowledge propagation efficiency and propagation effect are improved.

The invention provides an offshore floating normal-pressure hydrogen storage photovoltaic power generation method, which adopts a normal-pressure hydrogen bag to store hydrogen, and the normal-pressure hydrogen bag is arranged below a photovoltaic cell panel or on an idle sea surface beside the photovoltaic cell panel; the hydrogen preparation device is communicated with the normal-pressure hydrogen bag and the hydrogen fuel power generation device through a hydrogen pipeline, photovoltaic electric energy is gathered through a photovoltaic wire, and then the electric energy is converted into hydrogen for normal-pressure storage. According to the invention, the continuity and stability of power supply can be ensured, and a new low-cost technical path can be provided for replacing thermal power by photovoltaic power generation.

The invention provides a complete denture manufacturing method for determining a plane and jaw position relation based on digitization, and relates to the technical field of dentistry, the method comprises the following steps: using a finished product tray to prepare an initial impression, filling a plaster model, and scanning to obtain a three-dimensional data STL file of the plaster model of the upper and lower jaws; recording the occlusion relationship by using oil sludge silicone rubber, and scanning to obtain a three-dimensional data STL file of the upper and lower jaw plaster model with the occlusion record silicone rubber; obtaining a CBCT DICOM file when the patient wears and occludes the silicone rubber, and extracting a three-dimensional data STL file of the face, the maxilla and the mandible; fitting the archive to construct a virtual patient; and digitally designing a plane and a median relation jaw position, and the like. According to the method, the upper and lower jawbones are segmented by using CBCT DICOM data, the position of the lower jawbone is moved by using software, the jaw position is accurately designed, and the false tooth is manufactured on the basis of a correct plane and a correct median relationship, so that temporomandibular joint health and false tooth stability of a patient are facilitated.

The invention relates to the technical field of carbon dioxide sequestration and environmental safety monitoring and early warning, in particular to a geological carbon dioxide sequestration method which comprises the steps of site selection, drilling and well building, carbon dioxide capturing and compressing, carbon dioxide injection, sequestration monitoring and leakage risk assessment and early warning. The real-time monitoring of the sealing process comprises the following steps: deploying monitoring equipment, and collecting monitoring data; the obtained monitoring data form a time sequence curve of each type of data according to the type and time point sequence, and the time sequence curve data of each type of data is traversed for correlation analysis to obtain a correlation value; estimating a time sequence curve change trend according to a data difference between two adjacent data at each time point; evaluating the carbon dioxide geological sequestration process based on the relevance value and the time sequence curve change trend, and quantifying evaluation data to obtain a data analysis result; and based on the data analysis result, evaluating the sealing safety and the leakage risk. The carbon dioxide leakage monitoring effect is improved.

The invention discloses a multi-mode brain-computer interaction method and system. The multi-mode brain-computer interaction system is composed of a signal acquisition module, a control module and a human-computer interaction interface module. The signal acquisition module is used for acquiring various signals, which can be used for man-machine interaction, of a user, including electroencephalogram, myoelectricity, electrooculogram, voice, posture, somatosensory human body signals, position, motion posture and temperature human body surrounding environment signals, and combining the channels to form a multi-channel parallel input information group; the information is transmitted to the control module in a wireless communication mode; and the control module performs digital filtering, signal processing, classification detection and fusion algorithm identification according to the acquired multi-mode signal, and outputs a corresponding instruction according to an identification result for corresponding interactive operation.

The invention discloses a joint quantification method and system for flexibility of an adjustable energy system in a building. The method comprises the following steps: establishing an adjustable energy system simulation platform; flexible response parameters are input into the simulation platform, parallel simulation is carried out on the baseline working condition, the independent response working condition and the combined response working condition, and simulation data corresponding to each working condition are obtained; comparing energy consumption parameters in the simulation data under other response working conditions by taking the simulation data of the baseline working condition as a reference, and segmenting time periods; respectively calculating flexibility parameters of each system under each response working condition according to the segmented time periods; and the gain rates of the flexibility parameters of the air conditioning system under the two response working conditions serve as joint effect indexes. According to the method, a set of building energy flexibility quantification framework for two systems is adopted, and multi-dimensional quantitative characterization is carried out on the joint effect. And the dynamic power change of the air conditioning system under the internal disturbance flexible action can be reflected.

The invention relates to a panoramic projection method, projection equipment and a storage medium. The method comprises the following steps: acquiring panoramic content and attitude information, wherein the attitude information comprises attitude information received from a rotated control device; controlling the projection equipment to rotate according to the attitude information; determining a view field picture area from the panoramic content according to the attitude information; and projecting the picture content of the view field picture area to a projection plane corresponding to the projection equipment. By utilizing the method and the device, the projection equipment and the projected picture content can track and respond to the change of the viewing angle of the user, so that the viewing experience of the user on the panoramic content can be improved.

The invention relates to the technical field of medical systems, and discloses a traditional Chinese medicine AI diagnosis and treatment training integrated system based on a large model, and the system comprises a symptom input module which is used for comprehensively collecting patient information; the doctor end module is connected with the symptom input module and is used for receiving the inquiry sheet, auditing and operating an AI large model for intelligent inquiry and finally generating a prescription order; the AI large model module is connected with the doctor end module and used for integrating traditional Chinese medicine ancient books and case data and conducting intelligent diagnosis and prescription recommendation; and the traditional Chinese medicine supervision and toxicity detection module is connected with the AI large model module and is used for performing pharmacology and toxicity detection on the prescription output by the AI large model module to ensure the medication safety.

The invention discloses a configuration option searching method, device and equipment, a medium and a computer program product, and relates to the technical field of computers.The method comprises the steps that when configuration options of a basic input and output system are updated, data files of the configuration options are created based on information of the updated configuration options; receiving a search instruction containing a search keyword through the input interface; wherein the search keywords comprise a part of keywords of the information of the configuration options, and / or keywords of which semantics are similar to those of the part of keywords of the information of the configuration options; searching a target configuration option having correlation with the search keyword in the data file; and constructing a search result corresponding to the search instruction based on the target configuration option. According to the method and the device, a fuzzy search mechanism of the configuration options of the basic input and output system is realized, the search difficulty of the configuration options of the basic input and output system is reduced, and the search flexibility is improved.

The invention discloses a method for dynamically constructing a UDF based on a large model. The method comprises the following steps: S1, constructing a multi-dimensional requirement cue word of a user-defined function according to characteristics and use requirements of a target platform; s2, the multi-dimensional requirement cue words are input into a pre-trained large language model for code generation, the large language model is subjected to multi-round iteration based on the multi-dimensional requirement cue words, and an optimal code sequence for achieving the user-defined function is output; s3, code style standardization is carried out on the optimal code sequence, and a compiler or an interpreter and a static analysis tool are respectively called to carry out grammar check and static analysis on the optimal code sequence, and constructing an optimization cue word according to an error log output by the compiler or the interpreter and a static analysis result output by the static analysis tool, and inputting the optimization cue word into the large language model to carry out iterative optimization on the optimal code sequence.

The invention discloses a method, a system, equipment and a medium for screening depression based on fundus color photograph, and the method comprises the following steps: collecting a fundus color photograph image data set containing healthy individuals and depression patients, carrying out the feature measurement of the image data set, building a model based on a random forest, and classifying the image data. And verifying and evaluating the model, and applying the model to a clinical working process. According to the method, model training and verification can be carried out on patients diagnosed with depression and healthy people of the same age and gender through fundus color images, depression diagnosis and clinical risk factors, and a trained random forest model is obtained and is used for distinguishing the healthy people from the depression patients; and a method and a tool are provided for early screening and identification of depression.

The utility model relates to the technical field of USB connectors, and discloses an anti-loosening USB connector, which comprises a main body mechanism, and a protection mechanism is arranged on the outer side of the main body mechanism. The main body mechanism comprises a connector, a connecting wire is fixedly connected to the left side of the connector, a connecting plug is fixedly connected to the left side of the connecting wire, springs are fixedly connected to the inner walls of the upper end and the lower end of the connecting plug, a locking block is fixedly connected to one end of each spring, and a receiver is movably connected to the interior of the connecting plug. According to the anti-loosening USB connector, the locking blocks are clamped into the grooves formed in the surfaces of the upper and lower sides of the receiver through stretching and retracting of the springs, the receiver is fixed by attaching the outer side surfaces of the locking blocks to the inner walls of the grooves formed in the surfaces of the upper and lower sides of the receiver, the anti-loosening effect is achieved, and shaking generated when the receiver is connected with the connecting plug is avoided; and the effects of being simple in structure, low in manufacturing cost and high in universality are achieved.

The invention discloses an emotional assistant health behavior intervention dialogue robot based on self-consciousness emotion recognition. The emotional assistant health behavior intervention dialogue robot at least comprises a health behavior information acquisition module, a man-machine dialogue module, a self-consciousness emotion recognition module and a behavior intervention module. By combining a self-consciousness emotion recognition technology with a large model interaction technology and a behavior intervention psychological model, the system can improve the fine granularity of health behavior intervention in the aspect of emotion understanding, and further realizes more accurate and personalized intervention services. The system not only can promote the change of health behaviors, but also can provide a common intervention service, so that the health management ability of the user is effectively improved, and the durability and effect of behavior change are enhanced.

The utility model relates to compacting equipment technical field especially relates to a module base plate quick change elastic compacting mechanism, its technical scheme includes mechanism chassis, be provided with sliding rail on the mechanism chassis, the sliding rail is installed respectively with left side elastic quick change pressure head and right side elastic quick change pressure head, be provided with module positioning tool between left side elastic quick change pressure head and right side elastic quick change pressure head, module board is installed on the module positioning tool. The utility model is provided with the mechanism that can carry out motion control and compacting to guarantee the stability of motion, and avoid the interference to compacting, whole control clamping is more stable, guarantees that copper base plate each pressure point position can be compacted more evenly, and the elastic pressure head structure is designed, can change according to pressure point height, and the pressure head height is adjusted automatically.

The invention discloses a diagnosis and treatment probe of a targeted HER2 receptor and a labeled precursor, a preparation method and application of the diagnosis and treatment probe, and belongs to the technical field of radiopharmaceuticals. According to a biological orthogonal click chemical strategy, diagnosis and treatment are organically combined, HER2 is used as a target spot to design the nuclear medicine diagnosis and treatment integrated probe, the probe can achieve efficient and high-specificity tumor marking and treatment, and the accuracy and effect of clinical diagnosis and treatment are improved; meanwhile, by reducing accumulation of non-specific radioactive substances in the body, radiation damage to healthy tissue is remarkably reduced, a safe and effective treatment scheme is provided for patients, and potential clinical transformation prospects are achieved.

The invention discloses an injection molding machine feeding device, and relates to the technical field of injection molding machine equipment.The injection molding machine feeding device comprises an injection molding machine body, a material conveying pipeline is arranged in the injection molding machine body, a plurality of heating assemblies are arranged outside the material conveying pipeline, and a feeding hopper is installed outside the material conveying pipeline through a through hole; and a driving motor is installed outside the feeding hopper, the upper end of the driving motor is connected with a driving gear through a rotating shaft, and the position, located above the driving motor, of the outer surface of the feeding hopper is rotationally connected with a driven gear ring connected with the driving gear in an engaged mode. By arranging a series of structures, the stirring assembly rotating continuously and the screw communicating with the material conveying pipeline, plastic particles in the feeding hopper can be continuously fed into the material conveying pipeline, and the plastic particles can be effectively prevented from being accumulated at an outlet of the feeding hopper; and the material conveying efficiency and continuity are ensured.

This invention provides an assisted assessment method for scoliosis based on uncertainty gating and graph reasoning. Standing back RGB images are acquired via a mobile terminal in an uncontrolled environment. High-resolution feature maps are extracted, and multiple key points on the body surface are detected. Simultaneously, a heatmap, peak confidence score, and distribution variance based on the second-order central moment in pixel space are output, explicitly measuring localization uncertainty. An adaptive gating value is generated based on the joint measurement of peak confidence score and distribution variance. Local features of each key point are dynamically weighted and fused with global reference features element-wise: when the localization reliability is below a learnable threshold, the gating value approaches zero, and the weight of the global reference features is automatically increased to achieve noise isolation. Then, graph neural network message passing is executed according to a predefined anatomical adjacency matrix to structurally correct isolated abnormal nodes. Finally, the corrected features are aggregated, and scoliosis screening information is output. This invention overcomes the problem of poor robustness caused by occlusion and illumination disturbances in uncontrolled environments, achieving highly reliable non-invasive self-examination on a mobile device.

The present application provides a multimedia information processing method, device, equipment and storage medium, the method comprising: when playing multimedia information, obtaining the current physiological data of the user; determining the data difference between the average physiological data and the current physiological data; the average physiological data is determined based on historical physiological data, the historical physiological data is data obtained within a first time period after receiving an authorization instruction to obtain physiological data; when the duration of the data difference being greater than a preset physiological threshold exceeds a preset time threshold, displaying an information prompt interface for closing the multimedia information; when within a second time period after displaying the information prompt interface, no playback instruction related to the multimedia information triggered by the information prompt interface is received, closing the playback of the multimedia information. The present application can improve the accuracy of automatically closing multimedia information that users watch while sleeping in a low-cost and simplified manner.

The invention belongs to the field of geological exploration, and particularly relates to a method for calculating the occurrence of an underground structural plane based on an in-hole television. After drilling work in any drilling direction and drilling angle is completed and an in-hole television result is obtained, calculation work is carried out on the basis of obtaining drilling hole information and structural plane information; according to the method, the occurrence of the underground structural plane can be calculated based on the in-hole television in any drilling direction and drilling angle, and the true tendency and the true dip angle of the structural plane in the geographic orientation can be obtained.

The invention relates to the technical field of molding sand binders for casting, in particular to preparation and application of a water-resistant and moisture-resistant silicate inorganic binder, the binder is composed of a liquid component and a solid powdery reinforced modifier, based on the mass of sand, the adding amount of the liquid component is 2%, and the adding amount of the solid powdery reinforced modifier is 1%; the liquid component comprises liquid sodium silicate, a silane coupling agent and an organic silicon waterproof agent; the solid powdery reinforced modifier comprises amorphous silicon dioxide, metakaolin and fly ash; the hardening condition of the binder is that the binder is heated and hardened at 150-200 DEG C. According to the invention, geopolymers such as metakaolin and the like are introduced into a solid powdery reinforced modifier, and a three-dimensional network structure is formed by a silica tetrahedron and an alumina tetrahedron, so that water resistance and moisture resistance are realized through an alkali excitation reaction; and meanwhile, silane and an organic silicon waterproof agent are combined to form a synergistic waterproof effect, so that the prepared sand core does not bleed in water and does not fall apart after being soaked in water for several days.

The invention provides a resistor detection method and related equipment. The method comprises the following steps: acquiring a plurality of groups of resistors; the resistor comprises a substrate, a first electrode layer and a barrier layer; the number of each group of resistors in the plurality of groups of resistors is the same; dividing the plurality of groups of resistors into two classes to obtain a first class of resistors and a second class of resistors; the group number of the first-class resistors is the same as that of the second-class resistors; piercing the barrier layer of the first-class resistor to obtain a target-class resistor; welding a second electrode layer into the target type resistor and the second type resistor; and comparing the detection target type resistor with the second type resistor to obtain a detection result. According to the invention, the influence on the resistor when the barrier layer has defects is simulated and verified, so that the reliability and durability of the resistor are evaluated more comprehensively, and defective products are further prevented from being generated.

The invention discloses a method for detecting pesticides, heavy metals and active ingredients of traditional Chinese medicinal materials, and relates to the technical field of traditional Chinese medicinal material detection. The method comprises the steps of pretreatment of the traditional Chinese medicinal materials, preparation of liquid medicine, detection of the liquid medicine and post-treatment of medicine residues of the liquid medicine. A self-made multifunctional solid-phase extraction column is combined for purification treatment, and the multifunctional solid-phase extraction column can effectively remove impurities in supernate through reasonable silica gel, Flory silica and activated carbon filling combination and filling amount setting, so that the enrichment and selective separation effects on target pesticide components are improved; meanwhile, accurate detection of various pesticide residues in the traditional Chinese medicinal materials can be achieved, especially the trace pesticide residues can also reach a low detection limit, the increasingly strict pesticide residue limit standard requirement is effectively met, and the problem that an existing detection method is insufficient in sensitivity is solved.

The invention relates to a vehicle control method, device, system and equipment, and relates to the technical field of automatic driving. The method comprises the following steps: when a vehicle is in an automatic driving mode and a lane line on a current driving road of the vehicle cannot be recognized, acquiring a driving track of a candidate vehicle driving in the same direction in front of the vehicle; determining a target vehicle in the candidate vehicles based on the driving tracks of the candidate vehicles; the target vehicle is the vehicle with the highest parallelism in the candidate vehicles; the parallelism of the target vehicle is the sum of the trajectory parallelism of the target vehicle and the trajectory parallelism of other vehicles in the candidate vehicles; the trajectory parallelism is used for representing the parallelism degree between the driving trajectories of the two vehicles; and controlling the vehicle to run according to the running track of the target vehicle. Therefore, the problem of interruption or instability of the automatic driving mode caused by disappearance of the lane line can be avoided, and the adaptability and robustness of the intelligent driving system in various complex road environments are improved.

The utility model discloses a WiFi (Wireless Fidelity) remote controller, which comprises a power supply module and a WI-FI (Wireless Fidelity) transceiver module, the power supply module is connected with an emitter circuit board of the remote controller and the WI-FI receiving and transmitting module and is used for supplying power to the WI-FI receiving and transmitting module; and the WI-FI receiving and transmitting module is used for receiving and transmitting remote control information. According to the utility model, the installation is convenient, on-site wiring is not needed, and a network covering the whole area can be established only by installing one or more access devices; a stronger communication frequency band (2.4 GHz) is provided, and the transmission rate is higher; the fault can be easily positioned, network connection can be recovered only by replacing the fault equipment, the universality is high, and the flexibility is strong.

The utility model relates to the technical field of intelligent robots, in particular to an explanation robot, which comprises a body part, an explanation part, an explanation part and an explanation part, the armoring part comprises a body armoring piece, upper limb armoring pieces and lower limb armoring pieces, the body armoring piece is detachably arranged on the body part, and the upper limb armoring pieces and the lower limb armoring pieces are detachably connected to upper limb joints and lower limb joints of the limb parts respectively. According to the scheme, the bionic design is adopted, the color adjusting design capable of adjusting the color is adopted for the head, under the condition that the robot interacts with the visitors, namely the visitors touch the fingers, color switching can be conducted, the interaction feeling is high, the bionic design and the aesthetic feeling are better, audiences can be better attracted to watch, and the popularity of science popularization is improved.

This application discloses a hyperboloid roller skating rink, belonging to the field of sports field construction structure technology. It includes an outer field, an inner field, fencing, protective mechanisms, and reinforcing support mechanisms. The rink is divided into an outer field and an inner field by the fencing. The inner field includes a track and a lawn. The track has a hyperboloid design, including a smooth zone, a transition zone, and an acceleration zone. This application uses the fencing to distinguish the inner and outer fields. The inner field has a track and a lawn. The hyperboloid design, with its continuous undulations, not only increases the difficulty of the track but also enhances its fun factor, making it popular among sports enthusiasts. It has a high usage rate and popularity, thereby improving productivity and promoting the expansion of roller skating rinks and the popularization of roller skating. By placing the roller skating rink outdoors, it can accommodate more people to watch. Simultaneously, the lawn outside the track in the inner field reduces direct friction between the skater and the ground after a fall, thus reducing injury and greatly improving the practicality of the device.

The application discloses a domesticable human-computer symbiotic intelligent agent system and a domestication and management method thereof, takes a large language model as a cognitive core, and comprises a three-button interaction domestication module, a hierarchical ethical rule management module, a scene adaptive learning module and a three-level data flow control module; the three-button interaction domestication module realizes an AI behavior adjustment mode with zero code and low cognitive load, so that ordinary users can directly adjust AI behavior through daily interaction like teaching young children, without needing to have professional programming and artificial intelligence knowledge, and the AI system has greatly improved usability and popularity. By constructing a four-level priority rule system containing absolute ethical bottom layer hard constraints, a rule conflict detection and decision arbitration mechanism is realized in the system kernel, the behavior boundary of the intelligent agent is defined, the behavior of the intelligent agent in violation of ethics and safety specifications is effectively prevented, and the safety and reliability of the system are improved.