73results about How to "Easy diagnosis" patented technology

The invention relates to a magnetic suspension bearing control system and method and refrigeration equipment, and the system comprises a magnetic suspension bearing control module which is used for controlling a magnetic suspension bearing; the battery management module is electrically connected with the magnetic suspension bearing control module; and the master control module is respectively connected with the magnetic suspension bearing control module and the battery management module and can control the battery management module to store electric energy when the voltage of the magnetic suspension bearing control module is excessive and supply power to the magnetic suspension bearing control module when the power supply of the magnetic suspension bearing control module is insufficient. According to the technical scheme of the magnetic suspension bearing control system, through cooperative work of the battery management module and the master control module, the stability, the energy-saving performance and the response speed of the system are enhanced, the service life of equipment is effectively prolonged, and the maintenance cost is reduced. The integrated solution provides a safer, more reliable and more economical operating environment for high-performance and high-precision mechanical equipment.

The application relates to the technical field of Internet of Things data processing, and discloses a local reasoning and abnormality detection method for a wireless sensor network, which comprises the following steps: constructing a hypergraph model according to a sensor node set in the sensor network and corresponding association relations, and defining an energy function; applying a sensitivity constraint to the potential function, so that the potential function satisfies a bounded difference condition; determining a constraint range of coupling strength and a truncation order m; performing local deterministic approximate reasoning to obtain a conditional edge probability of a target sensor node; calculating an abnormality score of the target sensor node, and performing abnormality detection. In the wireless sensor network, a hypergraph Gibbs model with a sensitivity constraint is constructed, and based on strong spatial mixing ensured by theory, the application realizes the probability reasoning of a deterministic error bound only by relying on a limited-step local communication, so that the explainable abnormality detection and positioning are completed on a resource-limited edge device.

The application provides an industrial equipment fault diagnosis model construction method and related equipment, and relates to the technical field of industrial equipment fault diagnosis. The method comprises the following steps: obtaining a physical mechanism model of the industrial equipment; the physical mechanism model comprises a physical constraint equation; constructing a deep learning network; the deep learning network comprises a composite loss function constructed according to the physical constraint equation; collecting full-time series state data of the industrial equipment during operation; the full-time series state data comprises specified time series state data collected when the industrial equipment is in a healthy state; based on the full-time series state data, the deep learning network is trained for parameter optimization to obtain a final available industrial equipment fault diagnosis model. The method of the application aims to solve the problems of weak early fault identification ability, poor interpretability, lack of physical meaning and strong data dependence in the existing industrial equipment fault diagnosis technology, and effectively improves the intelligent level and operation and maintenance efficiency of the industrial equipment fault diagnosis.

The utility model relates to the technical field of cosmetic mirrors, and discloses a combined cosmetic mirror which comprises a base, the top of the base is fixedly connected with a driving mechanism, the top of the driving mechanism is fixedly connected with a rear lamp box, the interior of the rear lamp box is fixedly connected with a lighting mechanism, and the driving mechanism comprises a driving guide rail. The bottom of the driving guide rail is fixedly connected to the interior of the base, the top of the driving guide rail is fixedly connected with a light supplementing assembly, and the top of the driving guide rail is fixedly connected with a supporting display assembly. According to the utility model, the top of the base is provided with the driving guide rail, the driving guide rail drives the front lampshade to move along the track, meanwhile, the side light supplementing lamp ring moves along with the driving guide rail, the front lampshade is fixed by the locking piece to be kept at different positions, the light supplementing distance is flexibly adjusted, the light supplementing effect is uniform, various make-up scene requirements are met, and the flexibility is improved; and the light supplementing effect is effectively improved, and the requirements of different make-up scenes are met.

This invention discloses a method and system for fault diagnosis of industrial equipment under complementary label constraints, belonging to the field of industrial intelligent operation and maintenance and fault prediction health management technology. The method includes: collecting and preprocessing equipment vibration signals; constructing a dual-head deep network based on one-dimensional residuals as a complementary label learning model; generating a joint probabilistic loss function using complementary labels based on maximum likelihood estimation, enabling the model to learn fault features from "negative" labels; and achieving high-precision fault classification using the trained model. This invention applies the complementary label learning paradigm in weakly supervised learning to industrial equipment fault diagnosis, achieving a diagnostic accuracy of over 90% on multiple standard bearing datasets such as CWRU and MFPT. This method significantly reduces the data labeling threshold and effectively solves the pain points of scarce fault samples and difficult labeling in industrial scenarios, possessing significant practical application value.

According to the application of the urine TRPV5 as the biomarker in chronic kidney disease diagnosis and risk assessment, it is found for the first time that the TRPV5 and the detectable fragment thereof exist in the urine, the content of the TRPV5 and the detectable fragment thereof in the urine is in positive correlation with the chronic kidney disease CKD, the CKD can be diagnosed by detecting the content of the TRPV5 in the urine, and the application of the TRPV5 and the detectable fragment thereof in the diagnosis and risk assessment of the chronic kidney disease in the diagnosis and risk assessment of the chronic kidney disease is achieved. The invention also provides a specific in-vitro diagnosis method and a kit. According to the in-vitro diagnosis method, multiple defects of the existing CKD diagnosis technology are overcome, a brand-new diagnosis tool which is noninvasive, sensitive and specific and can be used for staging and prognosis evaluation is provided, and the in-vitro diagnosis method has remarkable scientific and technological advancement and wide clinical application prospects.

The utility model provides a kind of air conditioner soft-start control system, air conditioner starting interface, current detection module, power control unit, bypass unit, temperature detection module, through bypass unit through soft-start, start smooth, reliable operation, when magnetic retainer B is attracted, the trigger signal of thyristor SCR3, thyristor SCR4 is removed, thyristor SCR3, thyristor SCR4 stop conducting, compared with traditional contactor in entire bypass conduction period needs to continue coil power supply, can realize significant energy saving, system long-term operation total energy consumption is greatly reduced, while avoiding coil continuous heating problem, it is favorable to improve system overall reliability and reduce heat dissipation demand;While setting phase-loss protection module, distinguish zero line loss and fire line loss etc. Fault type, accurate trigger protection and store fault code, diagnosis is convenient.

The application of the biomarker combination in the preparation of a drug for fulminant myocarditis belongs to the field of drugs. The application is characterized in that the biomarker combination comprises Siglec-5; the biomarker combination is further selected from the group consisting of sST2, PAI-1, Siglec-5, CD163, CD40, P-Cadherin, CD14, CTLA4. The application finds that the expression of the biomarker in the plasma of a patient with fulminant myocarditis is increased, and confirms the role of the biomarker as a drug target in relieving and / or improving fulminant myocarditis. The level of the biomarker can be controlled by a drug, the diagnosis and subsequent treatment of the disease can be more intensified, and the biomarker has great application value in clinical practice.

The application provides a biomarker for assisting in diagnosing systemic lupus erythematosus and application thereof, proves that 15(S)-HETE has good diagnostic efficiency for systemic lupus erythematosus, and the diagnostic efficiency is improved after 15(S)-HETE is combined with anti-dsDNA antibody or anti-Smith antibody, has good diagnostic efficiency for systemic lupus erythematosus with negative specific autoantibody, and 15(S)-HETE can also reflect the disease activity of systemic lupus erythematosus.

This invention relates to solenoid valve fault diagnosis technology and discloses an automotive intelligent chassis electronic control system and its control circuit. The system includes a first fault diagnosis circuit and a second fault diagnosis circuit, each comprising a voltage acquisition unit, a voltage divider circuit, and a protection circuit. The protection circuit protects the fault diagnosis circuit, the voltage divider circuit divides the voltage output by the solenoid valve, and the voltage acquisition unit acquires the divided voltage. The voltage of the solenoid valve is acquired in real time using the voltage acquisition unit, and the state of the solenoid valve is determined based on the acquired voltage. This invention diagnoses faults in the solenoid valves of the automotive intelligent chassis electronic control system without requiring a driving solenoid valve. Each solenoid valve diagnosis requires only one port resource, making the diagnostic method simple and low-cost.

The utility model discloses an AI acceleration computing server stable in operation, which comprises a support frame, a fan in a mounting frame is used for cooling a server main body to keep the server stable in operation, a worm on one side of the support frame is rotated to enable a worm gear meshed with the worm to drive a rotating rod to rotate, and the rotating rod rotates to drive the server main body to rotate. The angle of the server main body above the mounting plate can be adjusted through the rotation of the rotating rod, so that the server main body can face a worker, the fan which is moved out can be conveniently observed and diagnosed, and the convenience of maintenance is improved; a first lead screw above a server body is rotated, a first connecting frame in threaded connection with the first lead screw can drive a mounting frame to move, a draught fan on the inner side of the mounting frame can be moved out of the server body, meanwhile, the first connecting frame is located above the draught fan, an LED spotlight on the first connecting frame can illuminate the draught fan, and a second lead screw above the first connecting frame is rotated, so that the draught fan can be conveniently and rapidly moved out of the server body. The position of the LED spotlight in threaded connection with the second lead screw can be adjusted, and it is guaranteed that illumination is sufficient in a key area.

This invention discloses a protein biomarker for assisting in the early diagnosis of acute myocardial infarction and its application. The biomarker is characterized by being at least one of GLRX, CA1, EIF4EBP1, MYL4, SOD1, BOLA2_BOLA2B, DDT, TNNI3, GH1, ACY1, POMC, AK1, FABP3, YOD1, GLO1, RANBP1, TGM2, PLPBP, OLR1, CEACAM8, CD2AP, AAMDC, and QDPR. The invention also provides the application of the above-mentioned protein biomarkers in the preparation of early diagnostic reagents or kits for myocardial infarction. The advantages are that it allows for convenient and rapid diagnosis of early AMI at the molecular level, with high detection efficiency, high sensitivity, and strong specificity, which is beneficial for the early detection and timely treatment of AMI patients.

The invention relates to an exhaust brake electromagnetic valve. According to the electromagnetic valve, a main gas circuit unit, a proportional electromagnetic driving structure, a gas circuit switching structure and a gas pressure detection structure are integrated. Continuous and linear accurate adjustment of output air pressure is realized through a proportional electromagnetic driving structure; the gas path switching structure can intelligently switch gas flow between the first gas outlet and the second gas outlet according to an instruction; the pressure sensor integrated in the valve body monitors the actual output air pressure in real time, closed-loop feedback control is formed, and accurate matching of braking force is ensured. The system is compact in structure, remarkably reduces external pipelines and leakage points, has the advantages of being rapid in response, accurate in control, high in reliability and high in adaptability, and remarkably improves the smoothness and safety of vehicle braking.

The application provides a plasma exosome mRNA biomarker and application thereof in construction of a gastric cancer diagnosis model, and relates to the technical field of biological medicine.The application first discovers that plasma exosome mRNA MORC3 is significantly enriched in plasma of gastric cancer patients, indicating that the plasma exosome mRNA MORC3 is expected to be used as a biomarker for gastric cancer diagnosis and as a target gene for treatment of gastric cancer.We take the plasma exosome mRNA MORC3 as a target marker to construct a diagnosis model and a corresponding diagnosis system for gastric cancer.The diagnosis model provided by the application shows high sensitivity and specificity in distinguishing gastric cancer patients from healthy people, displays good diagnosis efficiency, and can effectively identify gastric cancer patients, thereby providing an effective auxiliary tool for clinical diagnosis.The application provides a new choice for a molecular marker for gastric cancer diagnosis, overcomes the low sensitivity of existing cancer markers when used for gastric cancer diagnosis, and provides a new method for early screening and diagnosis of gastric cancer.

This invention discloses a method and apparatus for detecting and diagnosing energy storage devices based on multi-model fusion and AI collaboration. The method starts a portable host, drives the detection modules to perform self-tests, initializes the AI ​​processing module, and establishes a connection by scanning surrounding devices using the communication module. Voice commands control each detection module to collect multi-dimensional raw data. Each diagnostic model quantitatively calculates and outputs single-dimensional diagnostic results and confidence levels. A weighted fusion of these results using a self-built core fusion model yields a comprehensive diagnostic value, determining the fault level and type to generate a comprehensive diagnostic result. Protocols are parsed as needed to generate adaptation code, supplementing the collection of auxiliary data. The optimal operation and maintenance solution is selected based on the comprehensive diagnostic result using formula calculations, outputs the solution, and drives its execution. Data is simultaneously uploaded to the cloud. Finally, model parameters and weight coefficients are updated based on the device's operating data after fault handling, improving subsequent diagnostic accuracy. This invention solves the problems of difficult cross-manufacturer interface adaptation and inefficient operation in extreme environments found in existing technologies.

The application discloses a capsule endoscope control system and a recording method and a playback method thereof, and the system comprises a magnetic ball and a control device, the position and posture change of the magnetic ball causes the magnetic field change, so that the capsule endoscope moves along with the magnetic field change; the control device is connected with the magnetic ball, controls the position and posture change of the magnetic ball, and processes the posture parameters and image information of the capsule endoscope, wherein the control device acquires the state parameters of the magnetic ball, the posture parameters and image information of the capsule endoscope in real time during the examination by the capsule endoscope, and generates the operation record of the state parameters of the magnetic ball, the operation information of the control device and the posture parameters and image information of the capsule endoscope along with the change of time, and converts the operation record into a command sequence to write the storage data. Therefore, the operability of the automatic examination of the capsule endoscope is improved, the repeatability of the recording process and the effectiveness of the examination effect can be considered, and the training efficiency can be effectively improved in professional training.

The present application relates to the technical field of magnetic resonance imaging, in particular to a magnetic resonance human liver electrical property imaging method, comprising the following steps: step S1, acquiring a magnetic resonance image; step S2, calculating fat content distribution; step S3, segmenting a human liver tissue image; step S4, establishing a function model of human liver fat content and electrical property; and step S5, calculating human liver electrical property distribution. The present application provides a magnetic resonance human liver electrical property imaging method, which obtains a high-accuracy liver electrical property distribution image through a reasonable fat content acquisition route and based on the relationship between fat content and electrical property, and is beneficial to clinical liver examination and diagnosis, and solves the problem of reduced imaging accuracy of the human liver in traditional electrical property technology due to the principle defect.

This application provides a configuration method and related apparatus. During the configuration of AOP and TrustZone, it is necessary to first query the configuration status of TrustZone. Upon confirming that TrustZone configuration is complete, it can also be confirmed that xPU is enabled. Then, when xPU is enabled, the configuration parameters of AOP are read through xPU to complete the AOP configuration. This application adjusts the timing during the configuration process, placing the step of reading the AOP configuration parameters through xPU after querying the TrustZone configuration status. This avoids system crashes caused by calling xPU when it is not enabled, improving the success rate of internal system environment configuration and enhancing user experience.

The invention discloses a construction method and application of a self-assembled air bag of a targeted inflammatory factor. The construction method comprises the following steps: carrying out engineering modification on an air bag gene sequence, so that protein on the outer surface of the air bag is directionally fused, and expressing an oligopeptide affinity tag; designing a bispecific nano antibody gene sequence; co-transforming a balloon gene and a bispecific nano antibody gene into a host cell to realize self-assembly; and crushing the host cells which successfully express the self-assembled air bag, and carrying out centrifugal separation to obtain the self-assembled air bag of the targeted inflammatory factor. According to the invention, the self-assembled airbag of a biological source is prepared in a pure biosynthesis mode, high targeting to inflammatory factors can be realized without chemical modification of the airbag again, the airbag has good biocompatibility and can specifically target to inflammatory lesions, and through ultrasonic echo signals generated by gas in the airbag, the self-assembled airbag can be used for detecting the inflammatory lesions. The medical image contrast of an inflammation part is obviously enhanced, and the key problem that early inflammation focus imaging is difficult is effectively solved.

The invention provides an information processing device, a learning device, an information processing method, and an information processing program product capable of providing an image facilitating diagnosis. This information processing device is provided with a processor that performs: a process for acquiring a plurality of pieces of imaging data corresponding to radiation having different energies; and generating a color image to which a color is assigned from the plurality of pieces of imaging data on the basis of an index obtained using the energy information of the radiation.

An electric sound stethoscope with double-channel compatible and collection switch relates to the field of medical auscultation, which is configured with double-channel compatible and convenient collection switch, analyzes and compares sound and sound wave pattern functions, and outputs two high-definition loudspeaker work of audio amplifier modules in two ways to connect two audio boxes, which is a new innovation for diagnosing heart and lung diseases. The excellent electric sound quality presents the extremely distinctive creative color of the system. The system includes electronic or traditional auscultation head to collect sound signals, and the sound signals are converted into electric sound signals by a microphone. The auscultation includes collecting heart and lung sound, and independently setting a microphone channel or a microphone wired socket interface with a convenient switch, forming the electric sound signal of the heart and lung auscultation collected by the convenient switch and the auscultation method to suppress howling. The electric sound signal enters the functional module circuit for processing through the appropriate transmission mode, amplifies the electric sound signal to drive the loudspeaker to broadcast and listen to the auscultation.

The industrial controller comprises the all-in-one machine and at least one driving board, the all-in-one machine is connected to the driving board through a cable, and the driving board is provided with a wiring terminal used for being connected with an external sensor and a load. The driving board is provided with a modularized output unit and an input signal processing circuit, and the modularized output unit comprises at least one pluggable driving module, so that a man-machine interface and a PLC core function are integrated in the all-in-one machine, an independent PLC module, a special communication module and a complex middle wiring are omitted, the hardware cost is greatly reduced, and the cost is reduced. The relay, the field effect transistor and the silicon controlled rectifier module are installed in a pluggable mode, and replacement efficiency is improved.

The invention discloses a parasitic ovum detection method based on IDF-YOLO, and belongs to the technical field of image processing. The method comprises the following steps: constructing an IDF-YOLO target detection module with an enhanced feature fusion characteristic, and selecting CSPDarkNet64 as a backbone feature extraction network; a C3k2-IDWC module is designed in combination with the ideas of multi-scale convolution and partial convolution, and a C3k2 module in the deep layer of the model is replaced by the C3k2-IDWC module; the v7DSP module is used for replacing most of down-sampling modules; a WPFIoU loss function is used for replacing an original CIoU loss function; and obtaining an optimal model to detect a to-be-detected parasitic ovum image. According to the method, a small number of model parameters are adopted, the higher lightweight parasite ovum recognition accuracy is achieved, the calculation burden is greatly relieved, the method can be deployed to limited equipment for efficient detection, and therefore auxiliary parasite diagnosis can be achieved.

The application discloses a knowledge-based temporal convolution neural network (KB-TGCN) blast furnace fault diagnosis method. The method can solve the space-time dependence and sample imbalance problem of the blast furnace ironmaking process. First, the calculated variables that can further reflect the process state are calculated by using the variables directly detected by the sensor. Then, the knowledge-based graph structure is constructed according to the spatial position and calculation relationship of the variables. Subsequently, a one-dimensional time information extraction module is embedded in the graph convolutional neural network. Therefore, the TGCN can capture time information while maintaining the original spatial relationship. By using the knowledge-based graph structure, the KB-TGCN can fully mine the spatial information of different blast furnace positions. In addition, the method uses a focal loss function with an adaptive balance factor instead of a traditional cross-entropy loss function to overcome the sample imbalance problem.

This invention discloses a device for preventing complications of hyperbaric oxygen therapy in patients with impaired consciousness, relating to the field of medical device technology. It includes a parietal bone shield and an occipital bone shield, with the parietal bone shield connected to the occipital bone shield via an elastic connecting plate. Elastic electrodes are installed on the inner arc surfaces of the parietal and occipital bone shields. An ear protection component is installed at the edge of the lower opening of the parietal bone shield. An air intake adjustment component is installed on the side wall of the ear protection component. A drug delivery component is installed on the air intake adjustment component. This invention provides a device for preventing complications of hyperbaric oxygen therapy in patients with impaired consciousness. The elastic electrodes can fit snugly against the patient's head and are connected to an electroencephalogram (EEG) signal acquisition device to monitor the patient's brain waves. The device also allows for easy control of the telescopic rod to extend and retract, causing relative movement of the fixation frame and squeezing a spray into the patient's nasal cavity to intervene in epileptic seizures. The earmuffs and nasal mask prevent barotrauma and oxygen toxicity to the patient's middle ear.

The invention relates to the technical field of transformer fault diagnosis, and discloses a transformer multi-source fault diagnosis method and system and a storage medium. The method comprises the steps that fault signals of a transformer are collected in real time through a sensor array and subjected to denoising processing, signal features are classified through a clustering analysis algorithm, detection parameters are adjusted based on classification labels, and the fault prediction probability is further calculated; optimizing a fault response sequence according to the fault prediction probability, and establishing a communication protocol based on the sequence to realize synchronization of a signal acquisition process and a data analysis process; and finally, generating a maintenance scheduling instruction, and generating a fault response scheme based on the fault type and the maintenance priority. According to the method, by dynamically adjusting a response mechanism and optimizing data synchronization, the accuracy and response efficiency of fault diagnosis are remarkably improved, the loss of transformer faults can be effectively reduced, and the operation reliability of power equipment is improved.

This invention relates to immunological detection, particularly to the field of immunological diagnosis of tumors. Specifically, this invention provides a method for diagnosing nasopharyngeal carcinoma based on anti-EBV antibody levels, and a kit for using said method. This invention also provides a polypeptide encoded by the EBV BNLF2b gene for the above-mentioned diagnosis and its use in the diagnosis of nasopharyngeal carcinoma.

The invention belongs to the technical field of medical images, particularly relates to a semi-supervised medical image segmentation method based on density map regression and multi-task learning, and aims to solve the problems that an existing medical image segmentation method depends on large-scale annotation data, a traditional auxiliary task is poor in adaptability and time-consuming in calculation. And constructing a multi-task semi-supervised segmentation model of a teacher-student dual-network architecture. The method comprises the following steps: firstly, acquiring labeled and unlabeled medical images, and generating a density map label based on a segmentation map label of the labeled image; a fusion loss function is constructed by combining supervision loss, consistency loss and inter-task correlation loss through a network containing dual prediction branches of a segmentation map and a density map; according to the scheme, values of a small amount of annotated data and a large amount of unannotated data are fully mined, density map calculation is efficient, the method is adaptive to various anatomical structure segmentation scenes, segmentation accuracy and robustness are remarkably improved, annotation cost is effectively reduced, and accurate and efficient technical support is provided for image analysis in clinical diagnosis and treatment.

The invention provides an optical system for complex system imaging, which comprises an eyepiece, an aperture diaphragm, an aberration eliminating lens group, a front field lens group, a rear field lens group and a prism group, a semi-transparent and semi-reflective mirror is arranged in the rear field lens group, light of a light source is irradiated to pupils through the eyepiece, reflected light of the eye ground comes out from the pupils, and the prism group is arranged on the eyepiece. Light passes through the eyepiece, the aperture diaphragm, the aberration eliminating lens group, the front field lens group and the rear field lens group and reaches the semi-transparent and semi-reflecting mirror, 50% of the light passes through the semi-transparent and semi-reflecting mirror and enters the prism group for RGB imaging, the other 50% of the light is reflected by the semi-transparent and semi-reflecting mirror for white light imaging, the front field lens group comprises a transmission-type deformable mirror, and the rear field lens group comprises a transmission-type deformable mirror. The fundus, the focusing surface of the aberration eliminating lens group, the focusing surface of the front field lens group and the focusing surface of the prism group are mutually conjugated, and the pupil, the aperture diaphragm and the transmission type deformable lens are mutually conjugated. According to the invention, high precision, high stability and high light energy utilization rate of the system in a complex imaging scene are ensured, and a solution is provided for multi-band and high-resolution diagnosis of fundus diseases.

The present disclosure relates to methods and systems for diagnosing a particulate filter sensor. Systems and methods are presented for diagnosing operation of a sensor of an exhaust system. In one example, the systems and methods can diagnose operation of the sensor while the engine is combusting air and fuel. Further, operation of the sensor can be diagnosed while the engine is not combusting air and fuel, such that vehicle occupants are not disturbed by the diagnosis.