620 results about "Diagnostic equipment" patented technology

The invention relates to a power equipment output abnormal defect diagnosis method and device based on transfer learning, computer equipment, a storage medium and a computer program product. The method comprises the steps of collecting source domain data and target domain data, and constructing a source domain pre-training model; obtaining a target domain adaptation model; performing abnormity judgment by calling the historical maintenance record of the to-be-diagnosed equipment to obtain a final diagnosis result; and updating the source domain pre-training model and the target domain adaptation model. By adopting the method, the problem of target domain data scarcity in power equipment fault diagnosis can be effectively solved by combining transfer learning with adversarial training and semi-supervised fine tuning, cross-equipment high-precision anomaly detection and defect classification are realized, meanwhile, a diagnosis result is optimized by utilizing historical maintenance records, and continuous iterative optimization of a model is supported.

A diagnostic device, a battery manufacturing system, a battery pack, an electric vehicle, and a diagnostic method are provided. The diagnostic device according to the present invention is a diagnostic device for diagnosing the states of first to n-th active materials (n is a natural number of 2 or more) included in a battery electrode (the electrode is a positive electrode or a negative electrode), and includes: a profile acquisition unit configured to acquire a target electrode profile indicating a correspondence relationship between the capacity and voltage of the electrode; and a diagnostic unit configured to generate first to m-th simulation electrode profiles (m is a natural number of 2 or more) from predetermined first to n-th reference active material profiles, individually compare the first to m-th simulation electrode profiles with the target electrode profile, and diagnose the states of the first to n-th active materials based on the comparison results.

The invention relates to the technical field of fault detection, and discloses a big data-based machine room equipment fault diagnosis method and system, and the method comprises the steps: collecting load information data streams generated by all equipment in a machine room in real time, and carrying out the filtering, and obtaining a filtered information sequence; performing grouping processing on the filtered information sequence by using a K-means clustering algorithm to obtain a dynamic change mode group, calculating a key statistical index, and obtaining an abnormal feature set; if the abnormal feature set exceeds a preset variance threshold, classifying the abnormal feature set and determining a fault mode to obtain a fault mode category set; matching the fault mode category set with a preset fault mode database to obtain a fault mode matching result, and generating a corresponding risk assessment report to obtain a risk assessment report; and adjusting the operation parameters of the machine room equipment to obtain the equipment operation parameters. According to the method, equipment faults can be diagnosed in time.

The utility model relates to the technical field of in-vitro diagnosis automation equipment, and discloses a reaction container feeding device and diagnosis equipment, and the reaction container feeding device comprises a hopper, a partition plate, a driving assembly, a material pushing part and a feeding assembly; a feeding hole is formed in the top of the hopper, and an opening is formed in the bottom; the partition plate is fixedly arranged in the hopper and divides the opening into a first sub-opening and a second sub-opening; the driving assembly is arranged at the lower end of the hopper; the material pushing part and the feeding assembly are connected with the driving assembly, the driving assembly drives the material pushing part to move up and down and penetrate through the first sub-opening so as to jack up the reaction container, and the driving assembly drives the feeding assembly to move up and down and penetrate through the second sub-opening so as to receive the reaction container jacked up by the material pushing part. The driving assembly is adopted to drive the material pushing piece to jack the reaction container to the feeding assembly and drive the feeding assembly to move upwards to receive the reaction container, so that the feeding structure of the reaction container is simplified, the occupied space is small, and the reliability is high.

The invention provides an equipment fault diagnosis method and device based on an AI large model, equipment and a medium, and relates to the technical field of fault diagnosis, and the method comprises the steps: obtaining the vibration data of the equipment, and constructing a training data set; performing multi-scale adaptive normalization processing on the vibration data in the training data set to obtain normalized data; performing multi-scale frequency domain feature mapping on the normalized data to obtain multi-scale feature mapping output; based on a target training data set formed by multi-scale feature mapping output, training the deep neural network model to obtain a target deep neural network model; inputting the target vibration data of the to-be-diagnosed equipment into the target deep neural network model for fault diagnosis, and outputting a fault diagnosis result; and inputting the fault diagnosis result and pre-acquired equipment operation data into the AI large model, and generating an intelligent operation and maintenance suggestion. According to the method, the feature distinction degree is improved, the conditions of inter-layer scale drift and gradient instability are avoided, and the fault feature recognizability is improved.

The utility model relates to the technical field of in vitro diagnosis automation equipment, and discloses a feeding device cup arranging structure, a feeding device and diagnosis equipment, and the feeding device cup arranging structure comprises a containing channel, a moving assembly, a base and a driving part; a feeding hole is formed in the top of the accommodating channel; the moving assembly is arranged in the containing channel, can move in the vertical direction of the containing channel and is used for bearing the reaction cup; the base is arranged at the lower end of the containing channel, the driving piece is arranged on the base, the moving assembly is connected with the driving piece through the connecting piece, and the driving piece is used for driving the moving assembly to move up and down along the containing channel. The moving assembly is arranged in the containing channel, the reaction cups collide with the inner wall of the containing channel in the falling process, under the action of gravity, the opening ends of the reaction cups are upwards arranged at the moving assembly, the cup clamping and cup transverse phenomena are avoided, and the reliability is high.

The invention is suitable for the technical field of vehicle diagnosis, and provides a vehicle diagnosis system and method, and the system comprises a processor which is connected with a plurality of electronic control units (ECUs) of a vehicle and a vehicle diagnosis device, and is used for analyzing a diagnosis configuration file in a preset folder under the condition that the vehicle diagnosis device establishes communication connection with the plurality of ECUs, and sending the diagnosis configuration file to the vehicle diagnosis device; and obtaining diagnosis configuration data of the plurality of ECUs. According to diagnosis business process parameters in the diagnosis configuration data, creating a corresponding software channel for each ECU, and packaging all configuration parameters of each software channel in corresponding straight-through structure examples; and managing straight-through structure instances of all software channels through a pointer array and a thread channel mapping table in the global management structure body. And the server is also used for receiving the global channel configuration parameters through the universal thread pool and matching a corresponding working thread for each software channel. According to the system, synchronous diagnosis of a plurality of ECU systems is realized by establishing a parallel diagnosis architecture, and the efficiency of vehicle diagnosis is improved.

The present invention discloses a system and method for healthcare diagnostics using foundation models with uncertainty triage, designed to deliver reliable, explainable, and safety-assured diagnostic outcomes across multimodal clinical data. The invention integrates a foundation model processor pretrained on diverse medical datasets with an uncertainty estimation processor configured to quantify epistemic and aleatoric uncertainties in diagnostic predictions. A triage control unit dynamically classifies cases into high, medium, and low-confidence categories based on computed uncertainty indices, ensuring that only high-confidence cases are automatically finalized, while uncertain or ambiguous cases are routed for clinician review. The system further incorporates a feedback adaptation processor that recalibrates model parameters and uncertainty thresholds based on expert feedback, maintaining alignment with clinical reliability standards over time. Implemented as a hardware-integrated diagnostic device, the invention supports real-time inference, secure data handling, and interpretability visualization through uncertainty heatmaps and attention overlays.

A diagnostic device (10) for guiding a doctor in performing diagnostic procedures on a patient's body comprises a main body (12) having a top surface (13) and a bottom surface (14), with one or more user output modules (22) positioned on the top surface (13) and a set of sensors comprising peripheral sensors (16) and diagnostic sensors (18) arranged on the bottom surface (14). A processor (302) executes instructions stored in a memory (306) for receiving and processing preliminary inputs about the patient through a preliminary data acquisition module (307), determining a target body region and starting point, and performing scans to determine boundaries and examine specific organs. The device employs an artificial intelligence / machine learning (AI / ML) engine (310) to generate real-time audio, visual, and haptic instructions for guiding the operator, process multiple data streams, identify abnormalities, and provide diagnostic recommendations.

The invention discloses a fence piece production line monitoring device and monitoring system, and relates to the technical field of production line monitoring. Comprising a data acquisition device, an edge computing device, a feedback control device, a whole-process quality tracing module and a cloud platform data analysis center. The data acquisition device acquires multi-station multi-mode real-time data, the edge computing device performs data fusion, preprocessing and preliminary abnormality diagnosis, the cloud platform develops deep analysis and model learning, the feedback control device generates an instruction to adjust production line parameters, and the whole-process quality tracing module realizes production whole-link data binding tracing. According to the method, accurate diagnosis of production abnormity, predictive maintenance of equipment, dynamic optimization of the process and closed-loop control of quality are realized, the production efficiency and the product quality are greatly improved, and the failure shutdown loss is reduced.

The invention belongs to the technical field of industrial operation and maintenance, and particularly relates to an industrial equipment intelligent operation and maintenance system based on multi-source information fusion, and the system comprises a multi-source information sensing module which is used for collecting physical quantity data and technological parameters of related equipment of a petrochemical engineering site in real time; the local data processing module is used for preprocessing the multi-source data acquired by the multi-source information sensing module and uploading the processed multi-source data; wherein the preprocessing operation comprises missing data completion, data normalization and abnormal data detection; the cloud server is provided with a data fusion module and a fault diagnosis module; the data fusion module is used for carrying out space-time synchronization on all data so as to associate data with consistent time features and / or space features, carrying out weighted summation on the associated data, and fusing to generate a high-dimensional feature vector; and the fault diagnosis module is used for diagnosing the fault type of the equipment according to the high-dimensional feature vector, and triggering a corresponding alarm strategy according to a diagnosis result and an anti-explosion rule of a petrochemical engineering site.

The present invention relates to the technical field of motor diagnosis, and specifically to a motor diagnosis method and apparatus, a motor diagnosis device, and a motor diagnosis system. The motor diagnosis method is applied to the motor diagnosis device in the motor diagnosis system; the motor diagnosis system comprises a motor device, the motor diagnosis device, and an electronic device; the motor device is communicatively connected to the motor diagnosis device; the motor diagnosis device is communicatively connected to the electronic device. The method comprises: receiving operation data and an initial fault identifier that correspond to a motor device and are sent by the motor device; analyzing the initial fault identifier to determine target fault description information corresponding to the motor device; and transmitting the target fault description information and the operation data to an electronic device, so that the electronic device displays the target fault description information and the operation data. The present invention ensures the accuracy of the determined target fault description information corresponding to the motor device, and implements diagnosis of a motor. The present invention solves the problems of high cost and low efficiency of returning a motor device to the factory for maintenance, as well as inability to perform after-sales service.

The invention provides a vehicle diagnosis guiding method based on an AI large model and a related device, and the method is applied to diagnosis equipment, and the method comprises the steps: waking up a voice interaction module based on a preset scene wakeup mode, collecting the diagnosis voice of a target vehicle of a target user in a preset time period through the voice interaction module, and transmitting the diagnosis voice to a server; inputting the diagnosis voice into a preset voice recognition model to obtain first diagnosis information, determining a user diagnosis intention according to the first diagnosis information, determining a diagnosis instruction of a target vehicle according to the user diagnosis intention, and generating a target diagnosis result of the target vehicle according to the diagnosis instruction through an AI large model diagnosis module, and generating diagnosis guide information according to the target diagnosis result, and guiding the target user to complete diagnosis operation according to the diagnosis guide information through a voice interaction module. Therefore, the experience feeling and the diagnosis efficiency of the user in the vehicle diagnosis process can be improved.

A diagnostic system for communication behavior is provided. The diagnostic system includes a wireless device configured to communicate with an intranet, and a diagnostic device. The diagnostic device includes a data receiving module, a pattern identification module, an event detection module, and a processing module. The data receiving module is configured to receive at least one log data from the wireless device. The pattern identification module is configured to receive the log data and identify whether the log data has at least one key pattern of data. The event detection module is configured to obtain an event corresponding to the key pattern of data. The event represents a communication behavior of the wireless device. The processing module is configured to perform a specific operation corresponding to the event.

The invention relates to a power battery monomer level parameter accurate monitoring and fault positioning method and a diagnostic apparatus, and the method comprises the steps: connecting the power battery diagnostic apparatus to a power battery management system, collecting the operation parameters of each monomer power battery in a power battery pack, and obtaining the original monomer operation parameters; respectively preprocessing the original monomer operation parameters to obtain standardized monomer operation parameters; based on the standardized single body operation parameters, constructing a single body level real-time monitoring system, dynamically monitoring the operation state of each single body power battery through the single body level real-time monitoring system, and judging whether the current operation parameters of any single body power battery are abnormal or not in real time: if yes, judging the fault type of the current abnormality, and if not, judging the fault type of the current abnormality; and the fault single power battery is positioned through normal parameter tracing and fault feature matching. The problems that in the prior art, power battery single body level monitoring is lack, the fault positioning precision is low, and the adaptability of diagnosis equipment is poor are solved.

To provide a diagnostic device or the like for improving accuracy of gas leakage determination of a steam trap.SOLUTION: A diagnostic device includes: measurement means that measures vibration of a trap to be diagnosed and calculates first vibration data from measurement data; estimation means that estimates a drain amount of the trap to be diagnosed on the basis of the first vibration data; acquisition means that acquires a pressure value of the trap to be diagnosed; storage means that stores first relationship information in which a pressure value of the trap in a normal state in which there is no leakage of gas is associated with a determination threshold value, and second relationship information in which a pressure value of the trap in a state in which there is leakage of gas, and a drain amount is equal to or greater than a predetermined amount is associated with the determination threshold value; first determination means that specifies a determination threshold value based on the acquired pressure value on the basis of the first relationship information and performs leakage determination of the gas to be diagnosed on the basis of the first vibration data and the determination threshold value; and display means that displays a determination result by the first determination means and the drain amount. The first determination means executes the leakage determination again on the basis of the second relationship information in response to the satisfaction of a predetermined condition.SELECTED DRAWING: Figure 10

This invention provides a detachable, interchangeable imaging diagnostic device that allows for the use of various sizes of scopes, enabling easy image diagnosis of various affected areas. [Solution] The interchangeable imaging diagnostic device comprises a scope module including a fluoroscopy tube 110, a scope body 120 surrounding the rear of the fluoroscopy tube, an LED 130 providing light into the fluoroscopy tube, a heat sink 140, and an LED connection jack 150 protruding from the rear surface; a main body including a focus lens 210 for observing the condition of the affected area through the fluoroscopy tube, an adjustment lever 220 for magnifying or reducing the condition of the affected area as seen by the focus lens, a camera 230 for saving images of the body cavity, and an imaging trigger 240 for capturing images of the captured images. The main body has an LED power jack into which the LED connection jack is inserted and a coupling groove into which the rear end of the fluoroscopy tube is inserted, and is characterized by a structure that allows for the selection of scope modules with different fluoroscopy tube sizes and their detachable connection to the main body.

A diagnosis device (1) is provided with a data generation unit (11), an approximate rotation speed acquisition unit (12), a rotation speed acquisition unit (13), and a diagnosis unit (14). The data generation unit (11) generates, from a vibration sensor signal output by a vibration sensor (92) for measuring the magnitudes of vibration of a subject appliance, spectrum data indicating the distribution of the per-frequency magnitudes of vibration of the subject appliance. The approximate rotation speed acquisition unit (12) obtains an approximate rotation speed, which is an approximate value of the rotation speed of a rotating body of the subject appliance. The rotation speed acquisition unit (13) acquires, as the rotation speed of the rotating body, a frequency corresponding to the peak of the spectrum data in a frequency band including the approximate rotation speed. The diagnosis unit (14) diagnoses the conditions of the subject appliance on the basis of the peak value of the peak of the spectrum data in the frequency band including the diagnosis subject frequency corresponding to the rotation speed acquired by the rotation speed acquisition unit (13).

An imaging diagnostic apparatus connected to a printer includes an image reading unit configured to read a printed product formed by the printer to generate a read image, a detection unit configured to detect whether an image defect exists by comparing the read image with a reference image, and a notification unit configured to notify a user of information, wherein, when the image defect is due to a time-dependent change in the service life of a predetermined component, the notification unit issues a notification of a prediction result of a failure timing of the predetermined component.

Provided are a cup-arranging structure of a loading device, a loading device and a diagnostic apparatus. The cup-arranging structure of a loading device comprises: an accommodating channel (1), a moving assembly (2), a base (4) and a driving member (5), wherein a feeding port (101) is provided at the top of the accommodating channel (1); the moving assembly (2) is arranged inside the accommodating channel (1), is movable in the vertical direction thereof, and is configured to carry reaction cups (10); the base (4) is arranged at the lower end of the accommodating channel (1); the driving member (5) is arranged on the base (4); the moving assembly (2) is connected to the driving member (5) by means of a connecting member (6); and the driving member (5) is configured to drive the moving assembly (2) to move up and down along the accommodating channel (1). The moving assembly (2) is arranged inside the accommodating channel (1), and during a falling process, the reaction cups (10) collide with the inner wall of the accommodating channel (1) and are arranged with open ends upward at the moving assembly (2) under the action of gravity, thereby avoiding the phenomena of cup jamming and cup lateral reclining, and achieving a high reliability.

A diagnostic device includes: a calculator that calculates a value related to a capacity of a battery cell based on a result of comparison between a measurement Q-V curve and a reference Q-V curve, the measurement Q-V curve indicating a relation between a voltage and an integrated current amount that are obtained from measurement data of the battery cell. The calculator further calculates at least one of: an amount of capacity deterioration caused by a voltage difference between the measurement Q-V curve and the reference Q-V curve by multiplying an inclination of the measurement Q-V curve by the voltage difference, and a temporary maximum capacity after capacity deterioration caused by a change in the inclination of the measurement Q-V curve to an inclination of the reference Q-V curve.

The present application relates to the technical field of vehicle diagnosis security, and particularly relates to a vehicle diagnosis security firewall strategy, a system and a storage medium.The vehicle diagnosis security firewall strategy comprises: an embedded firewall module integrated in a vehicle self-diagnosis system, which establishes a communication link with a vehicle ECU and is used for performing access detection of a diagnosis device, permission level verification and operation behavior monitoring; a diagnosis function grading module which divides diagnosis functions into N permission levels according to the safety risk level of diagnosis operation, and each level corresponds to a specific operation range and verification standard; a verification and control module which is used for receiving an operation request of the diagnosis device, extracting the function level corresponding to the request and comparing with the preset verification standard, and opening the operation permission of the corresponding level after verification.The present application realizes accurate permission verification and whole-process dynamic security control of diagnosis operation, and solves the problem that different diagnosis devices and different operation functions cannot be finely controlled.

To provide an image diagnostic technology using a machine learning model.SOLUTION: The present invention is related to a machine learning model trained using training data including: first ultrasonic image data based on a reception signal received by an ultrasonic probe; first correct answer data, which is first region information associated with a detection object of the first ultrasonic image data; and second correct answer data, which is first position information associated with the detection object of the first ultrasonic image data or second region information based on the first position information.SELECTED DRAWING: Figure 2

The present invention provides an abnormal noise diagnostic device that accurately detects abnormal noises associated with normal combustion from among the abnormal noises emitted from an engine. [Solution] The abnormal noise diagnostic device 20 includes an information acquisition unit 21 that acquires engine information 15 including the number of cylinders of the engine 5, rotational speed information 13 indicating the rotational speed of the engine 5, and engine sound information 14 indicating the engine sound of the engine 5; a combustion timing calculation unit 22 that calculates the combustion timing of the engine 5 based on the engine information 15 and rotational speed information 13; an abnormal noise acquisition unit 23 that detects abnormal noises contained in the engine sound based on the engine sound information 14 and acquires the frequency and timing of occurrence of the abnormal noises; and a determination unit 24 that determines that abnormal noises whose frequency is at a specific frequency and whose timing of occurrence is the same as the combustion timing are abnormal noises associated with normal combustion.

To provide an abnormality diagnostic device that can appropriately diagnose the nature of abnormalities occurring in fuel cell systems. [Solution] The abnormality diagnosis device determines that an abnormality has occurred in the power conversion circuit if the first determination condition is met, which is that the output current of the cell stack is in a predetermined high-current state, which is greater than the assumed current value assumed from the power output from the power conversion circuit to the power line, or that output suppression operation is being performed, and the second determination condition is met, which is that the output of the cooling fan is in a predetermined high-output state, which is greater than the standard output range, and the third determination condition is not met, which is that the output voltage of the cell stack is in a predetermined low-voltage state.

Embodiments of the present application disclose a connection method, device and equipment for remote diagnosis order and a storage medium. The method is applied to a diagnosis device, the diagnosis device comprises a first diagnosis module and a second diagnosis module, and the first diagnosis module is connected with a target vehicle through a target joint. The method comprises the following steps: obtaining a vehicle identification code of the target vehicle through the first diagnosis module after the target joint is powered on; obtaining the number of order tasks based on the vehicle identification code; determining a target order task based on the number of order tasks; setting the connection state of the target order task as a first connection state, the first connection state being used for making the target order task in a selectable state; displaying the target order task to the second diagnosis module based on the first connection state; obtaining a target touch parameter of the second diagnosis module, the target touch parameter being used for selecting the target order task; and establishing a connection between the first diagnosis module and the second diagnosis module based on the target touch parameter, so as to execute the target order task.

The purpose of the present invention is to provide a technique capable of grasping the surface state of a sample stage and diagnosing the occurrence of an abnormality.　In order to provide the technique, the diagnostic device according to the present invention which diagnoses the presence or absence of an abnormality of a sample stage on which a sample is placed is characterized in that: the presence or absence of the abnormality of the sample stage is determined on the basis of a time constant in a transient change in the current when static elimination processing is performed; the static elimination processing is processing for detaching, from the sample stage, the sample electrostatically adsorbed on the sample stage; and the current is a current flowing through the sample stage when a voltage for electrostatically adsorbing the sample onto the sample stage is applied to the sample stage.

The invention discloses a flashing method and device for a vehicle-mounted controller and a vehicle, and the method comprises the steps: carrying out the safety verification of diagnosis equipment in response to a safety access instruction sent by the diagnosis equipment, and starting a JTAG interface of the vehicle-mounted controller under the condition that the safety verification is passed; in response to the data flashing instruction, flashing the vehicle-mounted controller through the JTAG interface under the condition of detecting that the data flashing instruction carries the declaration identifier; the declaration identifier represents that the vehicle-mounted controller is flashed through the JTAG interface.

A sanitary technology diagnostic system comprises at least one sanitary device, a user device, a server device, and a diagnostic device. The user device is adapted to request and receive device information linked to an identifier of the at least one sanitary device from the at least one sanitary device, to generate a service number, to send a data set comprising the service number and the received device information to the server device, and to send a notification comprising the service number, to send a data set comprising the service number and the received device information to the server device, and to send a notification comprising the service number, the server device being adapted to receive and store the data set, the diagnostic device being adapted to receive the notification and, using the service number, to request and receive the data set from the server device.