170 results about "Diagnostic program" patented technology

The invention provides a 5G portable WiFi fault diagnosis and recovery method and system. The method comprises the following steps: collecting network connection data, system information and operation logs from a communication terminal connected to 5G portable WiFi equipment; analyzing the data, and generating a fault diagnosis report; selecting and executing corresponding recovery operation from a recovery scheme library according to the report; monitoring equipment state and network connection in real time, and judging whether recovery is successful or not; if the fault is not solved, an advanced solution is provided, and equipment information, program attributes, scheme library information, network connection data, system information and operation logs are sent to an edge server; the edge server obtains fault data and diagnosis reports of a plurality of similar devices as references, potential fault laws are mined through big data analysis, and reference analysis data are generated; and optimizing an intelligent diagnosis program and a recovery scheme library according to the reference analysis data and other information. The fault type can be accurately identified, the fault recovery time is remarkably shortened, and the user experience is improved.

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.

The invention discloses an elevator control reminding and fault self-diagnosis method and system, and the method comprises the steps: installing acceleration, temperature, pressure and displacement sensors at preset parts of an elevator car, a motor, a steel wire rope and a door system, and collecting operation data in real time. Performing data preprocessing, cleaning wrong data, normalizing and extracting key feature parameters; and then, a state evaluation model constructed based on historical data and expert experience is used for judging the running state of the elevator, and normal, early warning and fault grades are divided. According to an evaluation result, the system executes corresponding control reminding operation, a fault diagnosis program is started when a fault occurs, fault types and reasons are accurately positioned, and part of faults can be self-repaired. Meanwhile, diagnosis and processing conditions are fed back, and a fault database is updated. The elevator running safety and reliability are remarkably improved, the maintenance cost is reduced, and the safety of elevator passengers is guaranteed.

An example of a distributed discernment system including a discernment server and a communications interface permitting bi-directional communications to and from the discernment server; and a plurality of human interface devices, each including a speaker, a microphone, a processor running a local processing program, and a system interface permitting bi-directional communications between the human interface device and the discernment server, where the diagnostic program running on the discernment server is adapted to generate interview instructions provided to the interface devices and the interface devices are adapted receive interview instructions from the discernment server, present a verbal question to a human interviewee; receive and process sensor data from the microphone to determine whether the microphone sensor data corresponds to a complete human voice response to the presented verbal question.

The machining diagnosis device (1) includes a data acquisition unit (11) that acquires a physical quantity related to the operating state of a machining machine (90) that machines a workpiece, and the machining conditions when the physical quantity is obtained, a feature quantity calculation unit (12) that calculates, for each machining condition, a statistical feature quantity of the physical quantity obtained during machining under the same machining conditions based on the physical quantity and the machining conditions, and an inference unit (16) that performs machining diagnosis based on the statistical feature quantity for each machining condition.

The invention relates to the technical field of power equipment monitoring, and discloses an intelligent power equipment health monitoring system integrated with a sensor network, and the system comprises the steps: constructing the sensor network to collect the operation state data of power equipment; summarizing and preprocessing data from different sensors through a data concentrator, and removing noise and abnormal data to obtain preprocessed data of each sensor; carrying out fusion processing on the preprocessed data from different sensors to obtain target monitoring data; analyzing the target monitoring data, extracting equipment feature data, inputting the equipment feature data into a health state evaluation model, and evaluating the health state of the equipment through the health state evaluation model to obtain an evaluation result; when the health state evaluation result of the equipment shows that the equipment has a potential fault, starting a fault diagnosis program, and sending out corresponding early warning information according to a fault diagnosis result; potential faults of equipment can be found in time, and safe and stable operation of a power system is guaranteed.

A distributed discernment system that includes discernment server including a processer running a diagnostic program and server interface permitting communications to and from the discernment server where the discernment system communicates with two or more human interface devices, where each human interface device includes display capable of presenting a video segment of a virtual human interviewer asking a question to an interviewee and sensors capable of detecting various responses of a human interviewee to each presented question where the discernment server includes a diagnostic that generates interview instructions to be provided to a plurality of human interface devices over the communications network, wherein the instructions provided to a given human interface device are intended to cause the human interface device to present certain questions to a human interviewee interacting with the device and wherein the discernment server is adapted to receive data from each of a plurality of the human interface devices and analyze such data to provide an assessment of the state of the human interviewee interacting with the human interface device.

The invention discloses a diagnosis message processing method and device, a vehicle and a storage medium, and the method comprises the steps: receiving a diagnosis request message forwarded by a gateway under the condition that a first ECU and the gateway are in communication connection through the Ethernet; performing data transmission format conversion on the diagnosis request message to obtain diagnosis request data in a second data transmission format; transmitting the diagnosis request data to a diagnosis program configured in the first ECU, so that the diagnosis program performs diagnosis processing in response to the diagnosis request data; generating a first response message in the first data transmission format based on the diagnosis data under the condition that the diagnosis program completes the diagnosis processing and the diagnosis data in the second data transmission format is generated; and sending the first response message to the gateway, so that the gateway forwards the first response message to the diagnosis equipment. Therefore, the vehicle can process the diagnosis message for the ECU of the Ethernet node so as to meet the diagnosis requirement.

The invention is based on the objective of further improving or better assessing the performance of the vibration isolation system and thus the performance of the machine or device connected to the vibration isolation system. For this purpose, a vibration isolation system is provided by means of which a vibration-isolated load can be supported, comprising at least one vibration isolator, preferably a plurality of vibration isolators, which can counteract vibrations occurring during operation by means of actuators, and at least one sensor, preferably a plurality of sensors, which are configured to record measured values ​​relating to the vibration isolation system and / or the supported load and / or the environment and to provide these as input data to a computer-aided method for a performance analysis of the vibration isolation system and / or the supported load.

To specify the abrasion loss of a centrifugal dehydrator.SOLUTION: A diagnosis system for diagnosing a centrifugal dehydrator including an outer body and an inner body that are coaxially disposed, are pivotally supported at two bearing portions provided at both ends in an extending direction, and rotate at different rotation speeds, the inner body having a screw spirally provided on an outer periphery thereof, the diagnosis system including measurement devices 2, 3, and 4 that measure a physical quantity related to the centrifugal dehydrator, and an arithmetic device 5, in which the arithmetic device 5 is capable of realizing a wear amount specifying function of specifying a wear amount of a tip portion of the screw based on the physical quantity.SELECTED DRAWING: Figure 2

According to the elevator diagnosis method and system based on functional safety, functional safety diagnosis is paused in the running stage of an elevator needing to be quickly responded, a control system can centralize resources to process related tasks, such as accurate control over elevator car leveling and timely response to door machine instructions, response delay caused by diagnosis program interference is avoided, and the service life of the elevator is prolonged. The probability of accidents caused by untimely response is reduced, and quick and accurate response in a key stage is guaranteed; secondly, by setting the threshold duration of pause function safety diagnosis and overtime forced recovery diagnosis, long-time non-monitoring in the quick response stage is avoided, and in the normal operation stage of the elevator, diagnosis is recovered and periodically executed, the elevator function is continuously detected, potential safety problems are found and early warned in time, so that maintenance and repair measures are taken, and the safety of the elevator is guaranteed. The response speed and safety monitoring are balanced, the safety monitoring effectiveness of the overall function of the elevator is guaranteed, and the operation safety is improved.

To simplify the display of a check result for an input item of DPC data.SOLUTION: A check program causes a computer to perform processing of: receiving an input of DPC (Diagnosis Procedure Combination) data, executing a check on an input item corresponding to an occupation of an account of a user who inputs the DPC data among input items included in the DPC data, and outputting an execution result of the check.SELECTED DRAWING: Figure 1

A diagnosis program (P) causes a processor (10) to use a battery degradation model formula (Ma) to specify a degradation factor of a battery module (2a), wherein the battery degradation model formula (Ma) is obtained by linear regression analysis in which the degradation amount of characteristic data (E) of the battery module (2a) is used as an objective variable (Y) and in which usage history data (D) of the battery module (2a) during measurement of the characteristic data (E) and the power (D') of the usage history data are used as explanatory variables (X), and through modeling in which the coefficient of each term of the explanatory variables (X) is predefined as positive or negative.

The invention provides an upper computer fault diagnosis method and device, equipment and a medium, and relates to the technical field of fault diagnosis, and the upper computer fault diagnosis method comprises the steps: obtaining a latest state data set of each upper computer based on a preset data obtaining rule; for each upper computer, based on the latest state data set of the upper computer, determining a latest fault diagnosis result set of the upper computer through the target program set corresponding to the upper computer; wherein the target program set corresponding to the upper computer is generated based on the station type corresponding to the upper computer; wherein the target program set comprises a plurality of preset fault diagnosis programs, and each preset fault diagnosis program corresponds to one fault diagnosis function. According to the invention, the problem that the overall efficiency, safety and reliability of the DCS are affected because technicians are difficult to acquire deeper equipment conditions because the diagnosis content of the upper computer in the DCS is mainly concentrated on basic information in the prior art can be effectively solved.

To detect the occurrence of deposits in a vibrating tube of a Coriolis flow meter with high sensitivity.SOLUTION: A server device 10 receives a measurement value that contains a measured differential pressure ΔPmeas of fluid from a Coriolis flow meter 20 that measures a mass flow rate Q and density ρ of the fluid flowing through a vibrating tube on the basis of the vibration of the vibrating tube, calculates a theoretical differential pressure ΔPcal on the basis of the received measurement value, and diagnoses the occurrence of deposits in the vibrating tube on the basis of the difference between the measured differential pressure ΔPmeas and the theoretical differential pressure Δpcal.SELECTED DRAWING: Figure 1

A measurement device outputs first and second swing measurement data values respectively dependent on operability of a hitting tool (bat) and momentum at the time of impact with a swing behavior when hitting an object (ball) with the hitting tool being employed as an input. A data analysis device generates diagnosis information for selection of a hitting tool in response to input of the first and second swing measurement data values obtained when each of three or more of hitting tools is swung. The diagnosis information is generated using a total score value calculated by integrating, using a BS value that is a weighting coefficient, a score value that is an indicator value of operability of the hitting tool calculated from the first swing measurement data value and a score value that is an indicator value of a hit-object speed calculated from the second swing measurement data value.

A fluid control apparatus 100 is provided with a second flow rate calculation unit 431 that calculates a flow rate flowing through a fluid resistor 33 based on a change over time in an upstream-side pressure P1 or a downstream-side pressure P2 in a state in which a fluid control valve 32 is closed, and with a diagnostic parameter calculation unit 432 that calculates a diagnostic parameter based on a first flow rate calculated by a first flow rate calculation unit 431, and on a second flow rate calculated by the second flow rate calculation unit 432 in a state in which the fluid control valve 32 is closed.

The invention provides a machine learning device capable of diagnosing the insulation state of a winding without stopping a shield motor pump. A machine learning device (4) generates a learning model (6) for an insulation state diagnosis device (5) for diagnosing the insulation state of a winding (31) of a stator (23) used in a shield motor pump (2). A machine learning device (4) uses unprocessed data or data obtained by pre-processing at least a portion of the unprocessed data as input data, and inputs learning data including at least the input data into a learning model (6). Therefore, the learning model learns the correlation between the input data and the diagnosis information of the insulation state of the winding. The unprocessed data is data of a voltage value and a current value supplied to the motor unit (20), data of a temperature of a winding (31) of the stator (23) or a temperature, a temperature difference, or a pressure related thereto, and data of an inflow temperature and a flow rate of the working fluid in the pump unit (10).

The invention relates to a method for operating a motor vehicle closure system (1), the motor vehicle closure system (1) having a drive (2) with an electric drive motor (3) and a control assembly (4) for actuating the drive (2) in order to provide an electric closure function for an adjustable closure element (5) of a motor vehicle (6), the control assembly (4) has a rechargeable electrical energy store (9) with at least one capacitor (10), the emergency supply voltage being provided by means of the energy store (9) during emergency operation, in particular in the event of a failure of the normal supply voltage. According to the invention, a diagnostic program is carried out by means of a control component (4), in which the capacitor (10) is subjected to a discharge and a charge from an initial state of charge in a chronological order, and a first electrical characteristic parameter of the capacitor (10) is determined on the basis of the discharge and a second electrical characteristic parameter of the capacitor (10) is determined on the basis of the charge by means of the control component (4).

Diagnostic method for diagnosing functional units designed as control units, in particular of a motor vehicle, wherein a diagnostic device can be connected to a functional unit, wherein diagnostic-relevant requirements are assigned to the functional unit(s), wherein the requirements are generated from an information technology description of the control unit of the functional unit and are compared with external data.

[Problem] To provide an endoscope diagnosis program, an endoscope diagnosis device, a control method for an endoscope diagnosis device, and a program for generating an endoscope diagnosis trained model which each make it possible to use endoscope images that have been accumulated to date to diagnose the presence or absence of a lesion, without limitations on the type of endoscope device. [Solution] A computer is made to function as: a diagnostic-use image acquisition unit 66 that acquires a diagnostic-use image of a site that is subject to diagnosis which has been captured with an endoscope device 20; a color tone correction unit 67 that performs color tone correction on the diagnostic-use image in accordance with a reference color tone, which is a color tone of an image of a site subject to diagnosis having been captured in advance with the endoscope device; and a lesion presence / absence diagnosis unit 68 that inputs the corrected diagnostic-use image into a trained model and that performs a process for diagnosing the presence or absence of a lesion from a result output by the trained model, said trained model having being generated by machine learning of a plurality of training images which have been subjected to color tone correction with the reference color tone.

A mobile diagnostic device (20) for an actuator (1), in particular for a valve, comprises an interface (21) for establishing a data connection (30), preferably wireless, between the diagnostic device (20) and the actuator (1) and at least one sensor (26). The diagnostic device (20) is configured to acquire diagnostic data from the actuator (1) via the interface (21) and to acquire additional time-varying information data by means of the at least one sensor (26). According to the invention, the diagnostic data comprises data or values ​​of a control variable (s) of the actuator (1), and the information data comprises data or values ​​of a quantity acquired by the sensor (26) on the actuator (1).With the aid of such a diagnostic device (20) and by combining the acquired diagnostic and information data, new diagnostic possibilities arise on site at an actuator, in particular with regard to parameterization of the actuator.

A diagnostic method, executable for example from remote computing devices or onboard control units for machines having various systems, each system having associated electronic controllers. For a specified machine and configuration, a hierarchical list is automatically generated comprising systems associated with the machine and one or more expected electronic controllers for each system. At least pursuant to initiation of a diagnostic program via an onboard control unit of the specified machine, respective input signals are obtained from present electronic controllers in functional communication with the onboard control unit. For each of any expected electronic controllers for which respective input signals are not obtained, a status alert is generated corresponding to a determined missing status or failure status, wherein the determined missing or failure status is based on an optionality of the respective expected electronic controller for which respective input signals are not obtained and / or an optionality of the corresponding system.

A diagnostic device for an exhaust gas aftertreatment device includes a temperature detection device that detects a filter inlet-side temperature and a filter outlet-side temperature, a differential pressure detection device that detects a differential pressure between a filter inlet-side pressure and a filter outlet-side pressure, an intake air pressure detection device that detects an intake air pressure of an engine, and a controller that determines a malfunction in an exhaust gas aftertreatment device based on values detected by the temperature detection device, the differential pressure detection device, and the intake air pressure detection device.

The application discloses a core system, device and method for vehicle diagnosis. The core system for vehicle diagnosis is connected with a vehicle and comprises an operating system layer, a protocol layer, a service layer and an application layer. The operating system layer comprises an operating system and a driver corresponding to diagnostic system hardware. The protocol layer comprises a hardware protocol stack corresponding to the diagnostic system hardware, and the hardware protocol stack is provided with multiple types of hardware protocols. The service layer is provided with multiple preset services corresponding to the types of the hardware protocols. The application layer comprises a diagnostic program used for performing a diagnostic operation on the vehicle. When the diagnostic program performs the diagnostic operation and generates a hardware calling request, the hardware calling request is sent to a preset service of a corresponding type. Each preset service determines a hardware scheduling strategy according to all currently received hardware calling requests, and schedules a hardware protocol of the corresponding type according to the hardware scheduling strategy, so that the diagnostic program completes control on the diagnostic system hardware in the diagnostic operation process.

The diagnostic system (1) includes a machining data acquisition unit (10) that acquires machining data from the start of machining by a machine tool (2) to the end of machining, a section extraction unit (11) that extracts a first section, which is a cutting section, and a second section, which is a section other than the first section, from the machining sections of the machining data, a feature calculation unit (13) that calculates a first feature value in the first section of the machining data and a second feature value in the second section of the machining data, a corrected feature calculation unit (14) that calculates a third feature value corresponding to an actual cutting load, which is a load of the cutting process, by subtracting the second feature value from the first feature value, and a machining diagnosis unit (17) that performs machining diagnosis based on the third feature value.

Provided is a secondary battery diagnostic method capable of evaluating a remaining service life of a secondary battery more accurately than in the past, without disassembling the secondary battery. This secondary battery diagnostic method includes: a parameter estimating step (step S1) for employing a predetermined model formula to estimate, on the basis of data obtained by measuring a load characteristic of a secondary battery being diagnosed, characteristic parameters, at a diagnosis time point, of the secondary battery being diagnosed, the characteristic parameters including an electrolytic solution diffusion coefficient Dn, at the diagnosis time point, of the secondary battery being diagnosed; a threshold estimating step (step S5) for employing a trained model to estimate, on the basis of input data, which are data including some of the characteristic parameters at the diagnosis time point, a threshold Dth of the electrolytic solution diffusion coefficient of the secondary battery being diagnosed; and a difference calculating step (step S4) for finding a difference ΔD between the threshold Dth and the electrolytic solution diffusion coefficient Dn at the diagnosis time point.

The invention provides a mode recognition method and device, VCI diagnosis equipment and a storage medium. The method comprises the steps of obtaining a currently logged-in target account; inquiring account information matched with the target account from a pre-configured user management table, and extracting the account information; extracting the account type of the target account from the account information; if the account type represents that the target account belongs to an after-sales account, entering an after-sales mode and downloading a DEMO program from a background server for self-inspection; and if the account type represents that the target account belongs to the diagnosis account, entering a diagnosis mode and downloading a diagnosis program from the background server to diagnose the vehicle. According to the scheme, the user management table is pre-configured in the VCI diagnostic equipment, the target account is obtained when the user logs in, the account type of the target account is inquired in the user management table, and the working mode of the VCI diagnostic equipment is determined based on the account type, so that the purposes of automatically and accurately identifying the working mode, simplifying operation and improving humanization are achieved.

The invention discloses a DSM fault diagnosis test method and device and a medium, and the method comprises the steps: constructing a CANoe test environment, and generating a test case for testing a DSM fault diagnosis program; executing a fault clearing operation through a fault clearing program in the ECUTEST software to clear all historical fault codes stored in the VCU controller before the test case simulates a new fault state, so that the VCU controller is in a single fault code state; based on the single fault code state, running the test case through a CANoe test environment; and obtaining a fault diagnosis message sent by the DSM fault diagnosis program in response to the test case, and comparing an actual fault code in the fault diagnosis message with an expected fault code in the test case to generate a diagnosis test report.

A power supply device according to one embodiment of the technology comprises a secondary battery, an electrical circuit, and a measuring unit. The electrical circuit performs the charging or discharging of the secondary battery. The measuring unit measures the voltage and current of the secondary battery. The power supply device further comprises a computing unit and a derivation unit. The computing unit calculates several degradation parameters of the secondary battery based on the measured values ​​obtained from the measuring unit. The derivation unit derives a secondary use target for the secondary battery based on the several degradation parameters obtained by the computing unit's calculations and the respective degradation rates of the several degradation parameters, which are defined for each of the secondary use target candidates.