1267 results about "Diagnostic equipment" patented technology

The invention discloses an OBD tamper-proof two-way verification method, which comprises the steps of obtaining OBD equipment data and vehicle sensor data, registering to a cloud end based on the OBD equipment data, obtaining registration data, obtaining key data and non-key data according to the vehicle sensor data, symmetrically encrypting the key data by using a session key in the registration data, and verifying the key data and the non-key data. Performing approximate homomorphic encryption on the non-key data, obtaining a double-entropy source dynamic salt value according to the time entropy of the ciphertext and the OBD equipment operation entropy, reversely reconstructing the dynamic salt value by the cloud according to the timestamp and the registration data, verifying the ciphertext structure by using the dynamic salt value and generating a random challenge containing a salt value check code, and sending the random challenge to the cloud; the equipment verification result and the challenge value are signed and then transmitted back, the OBD equipment carries out reverse verification on the salt value according to the signature and the equipment verification result, and the cloud generates an authority token based on the reverse verification result. According to the method, the data authenticity and integrity of the diagnostic equipment are guaranteed through packet encryption, dynamic salt value generation and bidirectional identity verification of transmission data.

The invention discloses a vehicle diagnosis method and device, equipment and a medium, and relates to the technical field of vehicle diagnos.The method comprises the steps that target related data are determined from a local database based on a received search instruction, and the target related data are displayed at the front end of the diagnosis equipment in a preset display mode so that a corresponding selection instruction can be received through the front end; determining a corresponding menu path according to the selection instruction, and determining to-be-transmitted data corresponding to the menu path from a local database when a diagnosis program under the menu path needs to be transmitted; and skipping to the menu path to determine a diagnosis program under the menu path, transmitting the to-be-transmitted data to the diagnosis program in an encrypted form after receiving a target diagnosis instruction, and starting the diagnosis program based on the to-be-transmitted data to diagnose the to-be-diagnosed vehicle. Therefore, the process of menu search and inter-page value transmission of the diagnostic software can be simplified to improve the diagnostic efficiency, and offline diagnosis is realized.

A biosensor cartridge can include a circuit board having a connection terminal configured to be electrically connected to an external diagnostic device, a biosensor chip configured to detect a target material from an analysis specimen, and transmit an electrical signal to the connection terminal of the circuit board based on the target material being present in the analysis specimen, the biosensor chip including a reactant configured to react specifically with the target material, and a housing enclosing the circuit board and the biosensor chip, and the connecting terminal being exposed outside of the housing. Also, the biosensor chip includes a plurality of channel areas separated from each other, and the reactant is attached to the plurality of channel areas.

The invention discloses a knowledge distillation-based electrical equipment state transition diagnosis method and related equipment, relates to the technical field of deep learning, and solves the problem of low cross-equipment diagnosis accuracy. According to the method, the finite element model of the power equipment is constructed to generate the simulation fault data, so that the dependence on real fault data can be reduced, and the problem of fault sample data scarcity is solved; then training a teacher network based on the simulation fault data, training a student network based on the measurement fault data, and realizing knowledge migration from the teacher network to the student network through KL divergence, thereby improving the generalization ability of the student network; and the parameters of the student network are adjusted according to the real-time working condition parameters of the to-be-diagnosed equipment, so that the to-be-diagnosed equipment can be diagnosed more accurately through the obtained working condition self-adaptive diagnosis model. By adopting the embodiment of the invention, cross-equipment high-precision state transition diagnosis can be realized.

A mask-based diagnostic apparatus is provided for detecting a biomarker contained in exhaled breath of a test subject. An exhaled breath condensate (EBC) collector converts breath vapor received from the lungs and airways of the test subject into a fluid biosample. The EBC collector including a thermal mass, a condensate-forming surface and a fluid conductor disposed on the condensate-forming surface. A fluid transfer system receives the fluid biosample from the EBC collector. A biomarker testing unit receives the fluid biosample from the fluid transfer system and tests the fluid biosample for a target biomarker. A testing system support is provided for supporting the EBC collector, the fluid transfer system and the biomarker testing unit. The testing system support is configured and dimensioned to fit inside a face mask. A face mask is provided forming an exhaled breath vapor containment volume to hold the exhaled breath vapor in proximity to the EBC collector to enable the condensate-forming surface cooled by the thermal mass to coalesce the exhaled breath vapor into the fluid biosample.

The invention discloses a vehicle diagnosis method, device and equipment and a storage medium, and relates to the field of vehicle diagnos.The method comprises the steps that in the pre-diagnosis stage, physical connection with an electronic control unit on a target vehicle is established, and whether the electronic control unit broadcasts target data or not is monitored; if it is monitored that the current electronic control unit does not broadcast the target data, executing an operation of sending preset CAN data to the electronic control unit based on a preset Baud rate, and when the sending is successful, determining the preset Baud rate as a target Baud rate; if it is monitored that the current electronic control unit broadcasts the target data, determining a Baud rate during broadcasting as a target Baud rate; and after the target baud rate is determined, an electronic control unit activation command is sent to the electronic control unit based on the target baud rate, so that vehicle diagnosis operation is triggered after the electronic control unit is successfully activated. Therefore, the communication between the diagnosis equipment and the ECU in the offline state can be realized, so that the vehicle diagnosis is carried out.

There is provided an ultrasound diagnostic apparatus including an ultrasound probe and an apparatus main body wirelessly connected to the ultrasound probe, the ultrasound probe including a B-mode processing unit and an M-mode processing unit configured to generate a B-mode image and an M-mode image, a wireless communication circuit configured to wirelessly transmit the B-mode image and the M-mode image to the apparatus main body, and a probe control unit configured to control the wireless communication circuit such that, each time a generation of a certain number of scanning lines in the B-mode image, which is less than the number of scanning lines in a single frame of the B-mode image, is completed, wireless transmission of the certain number of scanning lines in the B-mode image and wireless transmission of the M-mode image are alternately performed.

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 battery diagnostic device, a battery pack, an electric vehicle, and a battery diagnostic method are provided. The battery diagnostic device according to the present invention is provided for a battery array including a first battery to an mth battery (m is a natural number equal to or greater than 3) connected in series. The battery diagnostic device includes a sensing unit that detects the voltage of each of the first battery to the mth battery, and a control unit that generates a first voltage profile to an mth voltage profile that indicate a voltage change history of each of the first battery to the mth battery during charging or discharging of the battery array. The control unit diagnoses the battery array by comparing a reference voltage profile, which is any one of the first voltage profile to the mth voltage profile, with a first comparison voltage profile to an (m-1)th comparison voltage profile that are the remaining (m-1) voltage profiles other than the reference voltage profile.

Methods and devices for analyzing non-volatile organics in exhaled breath and other aerosols using various diagnostic tools that enable rapid, low-cost point of care assays for several diseases including respiratory tract diseases such as COVID-19. The disclosed methods and systems selectively capture non-volatile organics in exhaled breath and other aerosols in a packed bed column. The non-volatile organics are eluted and samples are analysis using diagnostic devices including MALDI-TOFMS. The disclosed systems and methods provide for a diagnostic test result in less than about 20 minutes and provides for autonomous operation with minimal human intervention.

A diagnostic device is configured to capture diagnostic information about a subject (e.g., the subject's ears). The diagnostic device may include a diagnostic extension housing diagnostic elements (e.g., imaging chip, light sources, or lenses) and an ear canal engagement section coupled to the diagnostic extension. The ear canal engagement section may be shaped to position the diagnostic extension superiorly within the ear canal. For example, one side of the ear canal engagement section may be longer than another, which may enable the ear canal engagement section to contact the inferior wall of the ear canal for a longer distance than it contacts the superior wall. This configuration may allow more movement of the diagnostic extension when the device is inserted into the ear, which further improves the alignment of diagnostic elements with a desired area of the ear for diagnoses (e.g., the eardrum).

A method for performing a vehicle diagnostic process for diagnosing, scanning and / or programming a vehicle includes recording a diagnostic message from a diagnostic computer device to generate a recorded diagnostic message, transmitting the recorded diagnostic message to a local computer at a repair facility, with the diagnostic computer device being located remotely from the repair facility, and playing the recorded diagnostic message at the local computer for delivery via an interface device to an electronic system of a vehicle. The method then further includes recording with the local computer a vehicle message from the electronic system of the vehicle to generate a recorded vehicle message in response to playing the recorded diagnostic message, and transmitting the recorded vehicle message from the local computer to the diagnostic computer device.

The utility model relates to the technical field of new energy automobile battery detection, and discloses new energy power battery detection and diagnosis equipment, which comprises a placement box, a display device is fixedly connected to one side of the placement box, a closing plate is placed at the top of the placement box, bolts are movably connected to the interiors of the placement box and the closing plate, and the bolts are connected with the display device. The lower part of the interior of the placing box is fixedly connected with an air inlet device, and the upper part of the interior of the placing box is fixedly connected with a pressure relief device, the pressure relief device is arranged, so that pressurized gas in the placing box can be discharged, after a test is completed, a pressing column can be pressed inwards, and the pressing column drives a moving block to move in the placing box; and one side of the sealing gasket is separated from the inner wall of the placement box, so that air can be exhausted, the situation that danger is likely to be generated during opening is prevented, the air inlet device is arranged, the exhausted air can be filtered, and it is guaranteed that the air entering the placement box is more dry.

A drawer apparatus for diagnostic devices can include a body configured to form a sample receiving compartment for housing a diagnostic sample. The drawer apparatus can further include a gear rack directly affixed to the body and meshing with a drive mechanism. The drawer apparatus can further include a constant force spring mechanism coupled with the gear rack. The drawer apparatus can further include a rotary damper. The drawer apparatus can further include a latch solenoid. The drawer apparatus can further include a drawer closed sensor.

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 invention discloses a security access method, device and system and a vehicle, relates to the technical field of security control, and can improve data security and vehicle security in a data access process. In the scheme, when the diagnostic equipment has a demand for accessing a certain vehicle, the diagnostic equipment can send the access request to the first device on the vehicle and carries the first information used for indicating the legal binding relationship between the diagnostic equipment and the vehicle, and the first device can send the access request to the first device after the first device performs security verification based on the first information. A diagnostic device is allowed to access the vehicle. On the basis, the influence on other vehicles when one vehicle has potential safety hazards can be avoided by performing authorization management on diagnosis equipment and vehicle dimensions; besides, the isolation effect provided by the first device enables the key of the ECU in the vehicle to be invisible to the diagnosis equipment, so that the risk of key leakage of the ECU in the target vehicle is avoided, and the influence on the safety of the target vehicle and other vehicles can be avoided.

A portable, multimodal dental diagnostic device for assessing the vitality of the dental pulp, consisting of: a detachable diagnostic component comprising a variety of probes, including the following: a heat probe configured to deliver controlled heat stimuli to a tooth surface and measure the heat response of the dental pulp; an electrical probe configured to deliver low-voltage electrical pulses to the tooth surface and measure the electrical impedance of the dental pulp; and an optical probe configured to assess blood oxygen saturation and microcirculation in the dental pulp using near-infrared light; a microcontroller unit configured to process sensor data from the thermal probe, the electrical probe and the optical probe, to calibrate measurements based on the oral base temperature and the ambient conditions, to aggregate multimodal sensor data and to control the operation of the thermal probe, the electrical probe and the optical probe; a cloud platform configured to receive and store aggregated sensor data, run artificial intelligence algorithms to analyze multimodal sensor data and generate diagnostic insights that include vital signs and diagnostic probabilities; a user application that is communicatively connected to the cloud platform and configured to wirelessly receive aggregated sensor data, display detailed diagnostic reports with vital signs and trends to the user, integrate with electronic health data systems, and issue alerts in case of abnormal readings; a wireless communication module connected to the microcontroller unit, configured to transmit the aggregated sensor data to the cloud platform; a display interface configured to show real-time feedback from the probes, including vitality assessments and sensor readings; and a main body containing the microcontroller unit, a rechargeable power supply and the display interface, wherein the rechargeable power supply can be charged via the current provided through a charging port on the main body, and wherein the main body is also equipped with on / off and start / stop switches; the device is configured to provide a non-invasive, quantitative real-time analysis of dental pulp health by combining physiological responses from thermal, electrical, and optical measurements.

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 discloses a vehicle diagnosis method, device and equipment based on data deposit and a medium, and relates to the technical field of vehicle diagnos.The method comprises the steps that a diagnosis request is generated based on a vehicle diagnosis instruction and sent to an electronic control unit, so that when the electronic control unit is busy, abnormity feedback is conducted on diagnosis equipment according to the diagnosis request; abnormal feedback returned by the electronic control unit is obtained, and whether the diagnosis request needs to be registered is judged according to the abnormal feedback; if the diagnosis request needs to be registered, a registration instruction is sent to a preset registration unit, so that the preset registration unit stores request data locally based on the registration instruction and feeds back storage information to the diagnosis equipment; and receiving storage information fed back by the preset register unit, and sending the storage information to the electronic control unit, so that the electronic control unit obtains request data from the preset register unit according to the storage information when the electronic control unit is idle, processes the diagnosis request through the request data, and feeds back a processing result to the diagnosis equipment.

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 invention provides a vehicle fault after-sales service method and device, a storage medium and electronic equipment, and is applied to the technical field of after-sales services, and the method comprises the steps: obtaining a fault after-sales request sent by diagnosis equipment; when the fault after-sales request is a tire pressure monitoring system fault diagnosis request, vehicle diagnosis data of a vehicle is obtained through diagnosis equipment, and a target after-sales service person is determined in all after-sales service persons through a recommendation algorithm; and pushing the fault after-sales request and the vehicle diagnosis data to a target after-sales service worker, so that the after-sales service worker uses the vehicle diagnosis data to remotely assist a customer in performing tire pressure detection system fault diagnosis on the vehicle. The fault after-sales request is sent through the diagnosis equipment, the after-sales service system quickly responds to the fault after-sales request, the response time of after-sales service is shortened, vehicle diagnosis data are provided at the first time through the diagnosis equipment, accurate data are provided for after-sales service personnel, the diagnosis work difficulty of the after-sales service personnel is reduced, and the diagnosis accuracy is improved.

The invention relates to the technical field of intelligent automobile diagnosis and maintenance, and discloses an automobile diagnosis data processing method and device, computer equipment and a storage medium. The method comprises the following steps: firstly, carrying out frequency statistics on automobile fault codes in a historical record of diagnosis equipment, generating a to-be-processed fault code data set, inputting the to-be-processed fault code data set into a maintenance diagnosis model to generate a preliminary maintenance suggestion, and forming a preliminary maintenance suggestion data set; then, maintenance reference information is obtained according to fault codes in the data set, fusion preprocessing is carried out on the maintenance reference information and the initial maintenance suggestion data set, and a diagnosis fusion data set is generated; thirdly, performing quality correction on the fusion data set to obtain a corrected fusion diagnosis data set; and finally, integrating the three data sets according to a priority rule to generate a standard automobile diagnosis data set. According to the method, through multi-stage data processing and optimization, the accuracy and reliability of automobile diagnosis data are remarkably improved, high-quality data support is provided for intelligent automobile diagnosis, and the maintenance efficiency and precision are improved.

The invention discloses a vehicle diagnosis method, device and equipment and a storage medium, and relates to the technical field of vehicle diagnos.The vehicle diagnosis method comprises the steps that when operation of diagnosis equipment is monitored, an equipment serial number corresponding to the diagnosis equipment and a computer MAC address of a target computer operating the diagnosis equipment are obtained, and whether the target computer is in an online state or not is judged; if the device is in the online state, judging whether the serial number of the device is registered or not; if the to-be-diagnosed vehicle is not registered, performing registration based on the user information, the equipment serial number and the computer MAC address, and performing vehicle diagnosis on the to-be-diagnosed vehicle based on the preset authentication file and the diagnosis equipment after the registration succeeds; if not, judging whether the diagnosis equipment has a preset authentication file or not; if yes, judging whether the preset authentication file meets a corresponding preset information consistency condition, a preset offline legal condition and a preset offline use condition or not; and if yes, performing vehicle diagnosis on the to-be-diagnosed vehicle based on a preset configuration code. And dependence on a network environment is avoided.

The invention relates to a vehicle diagnosis system, method and device, which are used for solving the unsafe influence caused by using a long-term secret key to carry out vehicle diagnosis. The vehicle diagnosis system comprises a key management system and a to-be-diagnosed unit, the key management system receives a key authorization request sent by a diagnosis device, generates a temporary key according to the key authorization request and sends a key authorization response to the diagnosis device, the temporary key is carried in the key authorization response, and the to-be-diagnosed unit sends the temporary key to the diagnosis device. And the key management system configures the temporary key to the to-be-diagnosed unit, so that the diagnosis device and the to-be-diagnosed unit complete diagnosis based on the temporary key and obtain a diagnosis result. Wherein the temporary key is independent of the long-term key in the vehicle. The vehicle diagnosis is completed by configuring the temporary secret key, and the diagnosis equipment can be prevented from being in contact with the long-term secret key in the vehicle as much as possible, so that the privacy data of a vehicle owner can be protected, the possibility that illegal personnel control the operation of the vehicle by using the long-term secret key can be reduced, and the driving safety of the vehicle owner is improved.

A method detects electrical fault states of a removable battery pack and / or an electrical device, in particular a charging device, a diagnostic device or an electrical consumer, that can be connected to the removable battery pack, using a first monitoring unit integrated in the removable battery pack. The method includes measuring a charging or discharge current using a first current measuring apparatus integrated in the electrical device and transmitting the measured current directly or as a converted voltage value to the first monitoring unit of the removable battery pack, and determining, using the first monitoring unit, based on the charging or discharge current and / or the voltage value calculated therefrom, whether the removable battery pack is operating in a permissible operating range.

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.

To provide a technique capable of measuring a lubrication state of a rolling device when rotational operation of the rolling device is stopped.SOLUTION: A diagnostic device for diagnosing a rolling device that uses a lubricant comprises: acquisition means for acquiring the impedance and phase of the rolling device using an electrical impedance method when the rolling device starts to rotate and stops after a predetermined number of rotations; derivation means for deriving a thickness of a film derived from the lubricant on the rolling device from the impedance and the phase; and determination means for determining the lubrication state of the rolling device based on the thickness of the film.SELECTED DRAWING: Figure 2

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.