98 results about "Remote diagnostics" patented technology

The invention discloses a thermal power plant powder manufacturing equipment state remote diagnosis system, and relates to the technical field of powder manufacturing equipment state diagnosis, and the system comprises a data collection module which obtains the real-time state information of equipment; the edge calculation module is used for carrying out edge real-time analysis and detecting abnormal conditions; the data processing and analyzing module is used for identifying a fault mode and trend and dynamically adjusting a self-adaptive threshold value; the remote monitoring and diagnosis module is used for displaying equipment state, alarm and fault information; the maintenance and decision support module is used for providing maintenance and repair suggestions; and the security and authority management module is used for setting different levels of user authorities and carrying out data encryption. Through data acquisition and edge calculation, the system can monitor the equipment state in real time, identify and alarm abnormity in time, improve the safety and reliability of equipment operation, and utilize deep learning and time sequence analysis, the system can identify potential fault modes, optimize maintenance decisions, and reduce downtime and maintenance cost.

The invention relates to the technical field of fault diagnosis, in particular to a complex equipment fault diagnosis method and system based on dynamic feature modeling. The method comprises the following steps: acquiring multi-channel sensor data; performing data preprocessing on the acquired multi-channel sensor data; extracting initial channel features from the preprocessed data; on the basis of a direction perception mechanism, performing convolution enhancement after splicing the initial channel features, and generating global context features of structure perception; performing multi-time-sequence scale feature fusion on the global context features based on a multi-scale modulation mechanism; performing health trend guidance on the fused features based on a trend guidance supervision mechanism; the diagnosis precision, the trend perception capability and the practical response efficiency of the system are remarkably improved, the system is effectively adapted to core application scenes of multi-industry equipment in predictive maintenance, online fault perception, remote diagnosis analysis and the like, and the system has good popularization prospects and practical values.

The invention discloses a switch cabinet latent fault remote diagnosis system, method, device and medium, and belongs to the technical field of fault diagnosis, and the system comprises a multi-dimensional sensor sensing module, a data transmission module, a data fusion analysis module, and a data storage and fault detection module. The multi-dimensional sensor sensing module is used for acquiring multi-dimensional data of the operation state of the switch cabinet; the data transmission module is used for transmitting the multi-dimensional data to the data fusion analysis module; the data fusion analysis module is used for performing data preprocessing on the multi-dimensional data to obtain preprocessed multi-dimensional data, and determining a fault classification result according to the preprocessed multi-dimensional data; and the data storage and fault detection module is used for performing fault identification based on the real-time monitoring data and the fault classification result. According to the invention, early recognition and accurate diagnosis of the latent fault of the switch cabinet are realized, and the downtime and maintenance cost of equipment are reduced.

The disclosure provides a method for remotely diagnosing faults in a powertrain of an electric vehicle. The method can comprise collecting real-time data from the powertrain of the electric vehicle; transmitting the real-time data to a cloud platform; ranking a feature importance on the real-time data using a random forest model; optimizing hyperparameters of the random forest model using a simulated annealing algorithm; deploying the optimized random forest model on the cloud platform for real-time fault classification and diagnosis; and using the cloud platform to provide real-time fault alerts and diagnostic reports for the powertrain of the electric vehicle.

An embodiment of the present invention provides a remote monitoring system, a remote monitoring method, a device and a medium for a DCS, belonging to the technical field of computer control. The remote monitoring system includes a remote terminal located in a remote control area and a configuration mapping server located in a field control area, wherein: the configuration mapping server is configured to, in response to a control logic retrieval instruction for the DCS from the remote terminal, map each logic page reflecting the real-time state of the control logic of the DCS on the field engineer station according to a preset ratio to generate a logic mapping diagram; the remote terminal is configured to obtain and perform image processing on the logic mapping diagram to obtain a dynamic control logic diagram of the DCS, and perform remote diagnostic analysis on the DCS based on the dynamic control logic diagram. The remote monitoring system of the present invention can monitor the state of each logic point on the DCS control logic in real time, realize the same monitoring and analysis functions as the field engineer station, facilitate the remote diagnostic analysis of the DCS, save labor costs and improve analysis efficiency.

The present invention relates to the technical field of fault diagnosis, and in particular to a complex equipment fault diagnosis method and system based on dynamic feature modeling. The method includes obtaining multi-channel sensor data; performing data preprocessing on the obtained multi-channel sensor data; extracting initial channel features from the preprocessed data; performing convolution enhancement on the concatenated initial channel features based on a direction awareness mechanism to generate a globally context-aware structural feature; performing multi-temporal scale feature fusion on the globally context-aware feature based on a multi-scale modulation mechanism; performing health trend guidance on the fused feature based on a trend-guided supervision mechanism, significantly improving the diagnosis accuracy, trend awareness ability and practical response efficiency of the system, effectively adapting to the core application scenarios of multi-industry equipment such as predictive maintenance, online fault perception and remote diagnostic analysis, and having good promotion prospects and practical value.

Embodiments of the present application relate to the field of vehicle diagnostics, and disclosed are a remote diagnostic system and method. The remote diagnostic system comprises a first communication device and a server. Once the first communication device obtains the VIN code of a vehicle, the VIN code is sent to the server. The server looks up communication attribute data corresponding to the VIN code in a pre-stored communication attribute database according to the VIN code, assembles and generates a target configuration file, and sends the target configuration file to the first communication device; the first communication device receives the target configuration file, establishes a communication link and filters ECU messages from the vehicle according to the target configuration file, and sends ECU messages that remain after filtering to the server, so as to enable the server to forward the remaining ECU messages to a second communication device, and then be received by a diagnostic device to perform diagnostic work. By this means, remote diagnostics can be implemented, and a broader range of vehicle fault resolution measures is provided. The present method can also provide service to many vehicle lines, and thus possesses general applicability.

The invention relates to a vehicle fault reason determination method and device, equipment and a storage medium, and relates to the technical field of automobiles. The method comprises the steps of obtaining fault data information of a target fault in response to a fault data recording instruction under the condition that the vehicle has the target fault; sending the fault data information of the target fault to a cloud server; and receiving the fault reason of the target fault sent by the cloud server, and displaying the fault reason on the vehicle. Therefore, when the vehicle has the fault with the undefined fault code, the fault data information of the fault is acquired in response to the fault data recording instruction, so that the fault reason of the fault is remotely analyzed based on the fault data information, and the problem that the fault data cannot be acquired when the vehicle fault with the undefined fault code is remotely diagnosed, and the fault data cannot be acquired is solved. And the vehicle fault can only be analyzed according to the fault data in the approximate time range.

The invention discloses a vehicle insulation resistor fault pre-diagnosis method, system and device and a medium. The method is applied to an Internet of Vehicles platform, a vehicle comprises a remote diagnosis box TBOX and a battery management system, and the method comprises the steps: receiving the operation data, sent by the remote diagnosis box TBOX, of a power battery monitored by the battery management system; obtaining the insulation resistance of the power battery and the change condition of the insulation resistance according to the operation data of the power battery; and when the insulation resistance is smaller than a preset value or the insulation resistance is predicted to have a fault risk according to the change condition of the insulation resistance, giving an alarm. With the adoption of the method and the device, before the power battery insulation fault of the vehicle occurs, the fault which is possibly to occur can be pre-judged, and a user can be prompted to overhaul, maintain and the like before the fault occurs, so that the fault occurrence probability is reduced, and the safety and the use experience of the vehicle are improved.

A system for remote diagnostics of medical devices in a healthcare network includes at least one medical device having an associated serial number. A service platform is in communication with the at least one medical device. A manufacturer database is in communication with the service platform. A remote service system is in communication with the service platform. The at least one medical device stores unique device credentials. The remote service system identifies the at least one medical device based on the unique device credentials.

The invention relates to the technical field of box-type substations, and aims to solve the problems that an existing box-type substation abnormal fault diagnosis mode is limited and incomplete, and abnormal and fault diagnosis of a box-type substation cannot be accurately monitored and analyzed and timely and effective early warning prompt cannot be carried out. The invention discloses a remote diagnosis system for a box-type substation, which solves the problem that normal production and life, power utilization experience of a user and economic benefits are directly affected by abnormal power supply due to the fact that the power supply is abnormal and the electrical operation condition and fault occurrence condition of the box-type substation cannot be mastered exactly, and particularly discloses the remote diagnosis system for the box-type substation. The server is in communication connection with a data acquisition module, an electrical operation analysis module, a main body damage monitoring module, an operation state monitoring module, a remote diagnosis control module and a display terminal, and the box-type substation is comprehensively and accurately monitored and analyzed by adopting modes of formula calculation, data analysis, threshold comparison, abnormal information analysis and the like; and the operation efficiency of a power system and the stability of power supply are ensured.

A method is disclosed for controlled access to a vehicle network via a user device. Upon receiving an access request from the user device, vehicle data is retrieved to evaluate whether access conditions are met. A first indication is generated if the vehicle data confirms that predetermined access criteria are satisfied. In response to this indication, a gatekeeping device transitions from a first state, where access to the vehicle network is blocked, to a second state, where access is permitted. This dynamic, condition-based control mechanism enhances vehicle network security by ensuring that only authorized access is granted, based on real-time vehicle status or contextual data. The invention enables secure, automated, and flexible connectivity to in-vehicle systems, supporting a variety of use cases, including maintenance, remote diagnostics, or user personalization, while minimizing the risk of unauthorized intrusion.

A shaft grounding system for rotating electrical machinery includes a collar attachable to the shaft and presenting a circumferential contact surface of a first metal. A stator securable to the machine housing carries at least one resiliently biased contact element of a second metal that wipes against the contact surface to conduct unwanted charge from the shaft to ground. In preferred embodiments the metals are dissimilar and at least one is a noble metal. The system may incorporate multiple contact surfaces, modular contact elements and an on-board monitoring subsystem that provides local and remote diagnostics.

The present invention relates to an intelligent service platform for the operation and maintenance of a hydraulic gate hoist. The intelligent service platform for the operation and maintenance of a hydraulic gate hoist comprises a central control machine and a hydraulic gate hoist, wherein the hydraulic gate hoist is provided with an oil resistance sensor, an oil transparency sensor, a motor speed sensor, a solenoid valve position sensor, an oil circuit pressure sensor, an oil circuit flow sensor, an oil circuit temperature sensor, a piston displacement sensor and a piston speed sensor, wherein the central control machine is electrically connected to the above-mentioned multiple sensors to remotely diagnose the fault of the hydraulic gate hoist and send maintenance information to a handheld device, wherein the intelligent service platform for the operation and maintenance of the hydraulic gate hoist facilitates users to promptly learn of the damage of the hydraulic gate hoist so as to perform maintenance in a timely manner.

This invention discloses a method for recording the power-down and reset paths of an embedded controller, the embedded controller itself, and a vehicle. The method includes: when the embedded controller executes any preset power-down or reset procedure, before the procedure ends, writing a path identifier representing the procedure into the non-volatile memory area of ​​the embedded controller; after the embedded controller is powered on, reading the stored path identifier from the non-volatile memory area and assigning it a path flag; immediately writing a preset diagnostic flag into the non-volatile memory area to overwrite the path identifier; determining the state of the previous power-down or reset based on the value of the path flag and setting a corresponding fault flag; and outputting the path flag and the fault flag. This invention enables accurate recording of each power-down / reset path and reliable judgment of abnormal power failures, significantly improving system reliability and maintainability, and providing support for remote diagnostics and big data analysis, without incurring additional hardware costs.

The invention relates to an in-vehicle communication system comprising a set of communication devices configured to communicate with each other via an internal wireless network. The device includes an acquisition card (110) configured to interface with a vehicle subsystem; a network card (120) configured to interface with the internal wireless network; and a control unit (140) configured to retrieve data from the subsystem by means of the acquisition card (110); and transmit the data to one or more other communication devices via the internal wireless network by means of the network card (120) so that said data is accessible to each of the other communication devices. The invention also relates to a method for remotely diagnosing a vehicle equipped with such a communication system. (See Fig. 2 for an abstract.)

Disclosed are embodiments for improving remote diagnostics of a computer system. There is provided a computing system, comprising processing circuitry, and one or more memories storing instructions that when executed cause the processing circuitry to obtain one or more operational parameter values and log data associated with a plurality of network devices in a networked computer system, determine, based on the one or more operational parameter values and the log data, a recommended log data level for a network device of the plurality of network devices, and communicate an instruction for the network device to modify an associated log data level based on the recommended log data level for the network device.

This application provides an interrupt handling method for an in-vehicle system, a vehicle, and a computer-readable storage medium. The method involves obtaining the current interrupt frequency of the in-vehicle system; determining the risk level of the current interrupt frequency based on the current interrupt frequency and a preset interrupt frequency set; and controlling the in-vehicle system based on the risk level and the current interrupt frequency. Therefore, this application's in-vehicle system can accurately identify the risk level and execute flexible suppression and recovery strategies in advance before high-frequency interrupt triggering exhausts computing resources. This avoids vehicle function interruptions and remote diagnostic failures caused by traditional watchdog resets, ensuring the continuous, traceable, and zero-reset operation of the in-vehicle electronic control unit's safety-critical tasks.

The present invention discloses a vehicle remote diagnosis management method, which subscribes to first fault diagnosis information and obtains second fault diagnosis information based on a bus through a first master node, and publishes the first fault diagnosis information and the second fault diagnosis information; based on a data distribution service, subscribes to the first fault diagnosis information and the second fault diagnosis information published by the first master node through a second master node; and sends the first fault diagnosis information and the second fault diagnosis information subscribed by the first master node and / or the second master node to a terminal device through the first master node and / or the second master node. The present invention combines the network system of the vehicle to diagnose various traditional faults on the vehicle, as well as diagnose abnormalities of various embedded controller hardware, systems, and applications, completes the complete vehicle diagnosis of traditional diagnosis and vehicle applications, and the remote PC terminal and the cloud vehicle diagnosis management, thereby improving the ability to diagnose vehicle faults.

System and procedure for automated support of industrial robots. The system includes a data collection device that communicates with all robots at a customer site and uploads data to a remote diagnostics system. The procedure is activated either automatically upon an alarm or by the robot operator or a remote support team. Upon activation, specific diagnostic files are collected and sent from the controller of the affected robot to the data collection device and the remote diagnostics system. The system uses a knowledge base to diagnose the cause of the problem based on the diagnostic files, and the support team personnel are also consulted in the diagnostic process.Based on the diagnosis, updated software or configuration files are sent to the affected robot to resolve the problem and enable the robot to be put back into operation, instructions are given to the robot operator, or an on-site visit by a customer service technician is scheduled.

The invention relates to the technical field of electric energy meter monitoring, in particular to an electric energy meter equipment state monitoring method and system based on the internet of things, and the method comprises the steps: obtaining basic parameters, total electric energy and appearance structure state parameters of all electric energy meter equipment in a target region in a current monitoring time period for monitoring; the method comprises the steps of obtaining a basic evaluation value, an electric energy evaluation value and an appearance evaluation value, determining an equipment operation evaluation value according to the evaluation values, dividing electric energy meter equipment into a normal operation group and an abnormal operation group, positioning abnormal electric energy meter equipment in the abnormal operation group at present, and performing remote diagnosis on the abnormal electric energy meter equipment through a monitoring terminal. Therefore, multi-dimensional sensing and intelligent evaluation of the running state of the electric energy meter are realized, and the timeliness and accuracy of equipment abnormity identification are improved.

The invention relates to active support of an industrial robot. A system and method for automated support of an industrial robot. The system includes a data collection device that communicates with all robots at the customer site and uploads data to a remote diagnostic system. The method is activated automatically in the event of an alert, or by a robotic operator or a remote support team. Once activated, a particular diagnostic file is captured and sent from a controller of the affected robot to a data collection device and then to a remote diagnostic system. The system utilizes a knowledge base to diagnose the cause of the problem from the diagnostic file, and supports team personnel to participate therein to derive the diagnosis. Based on the diagnosis, updated software or profiles are sent to the affected robot to correct the problem and allow the robot to be put into use again, allow instructions to be provided to the robot operator, or allow a field service technician to plan access.

This application provides a remote diagnostic method and apparatus based on the vehicle ISO9141-2 protocol. The method includes: acquiring diagnostic address data of a diagnostic instrument and recording the diagnostic address data to obtain a first data record; sending a first network command to a vehicle connector; acquiring vehicle response data of a target vehicle; recording the vehicle response data to obtain a second data record; sending a second network command to a device connector; performing initialization of the ISO9141-2 protocol between the device connector and the diagnostic instrument, and initialization of the ISO9141-2 protocol between the vehicle connector and the target vehicle, based on the first and second data records; and performing remote diagnostics on the target vehicle to obtain a target diagnostic result. By automating the initialization process of the diagnostic protocol and performing remote diagnostics on the vehicle, the efficiency and accuracy of remote diagnostics can be improved.

System for digital workshop and remote diagnostics integration, characterized by the fact that vehicle data is captured in real time via standardized vehicle interfaces such as OBD2, API-based cloud access or vehicle-internal bus systems (SPI, CAN, Ethernet) and stored with a blockchain-based documentation and verification mechanism.

Provided in embodiments of the present application are a communication method, a first communication device, and a remote diagnostic system. The communication method is applied in a first communication device and comprises: obtaining a first message of a vehicle or a diagnosis device, the first message being a message of a physical link layer of an internet protocol-based diagnostic communication protocol; performing encapsulation on the first message according to a protocol of a second local area network or a first wide area network, and obtaining an encapsulated first message; and sending the first message to a second communication device. In the present embodiment, the first message sent by the vehicle or the diagnosis device is not decapsulated layer-by-layer in the first communication device, but rather is directly sent to the second communication device after being encapsulated by the first communication device, which can reduce the amount of time the first communication device processes the first message and improve communication speed.

The invention relates to the field of mine crushing control, in particular to a cone crusher control system and a control method thereof. The method comprises the following steps: acquiring multi-source data such as oil pressure, oil temperature and oil return state, and evaluating the health degree; starting judgment and switching time sequence control are executed, and switching parameters are generated; viscosity parameters are generated through oil temperature prediction and cold and heat coordinated regulation and control; generating an impact index based on load soft measurement and feeding control; carrying out liquid level oil return dual-channel coordination and abnormal grading treatment, and generating a reset sequence and a grading code; and finally, the control parameters are updated through remote diagnosis and parameter self-adaptive write-back. The equipment operation stability is improved, machine halt impact is prevented, and intelligent maintenance and efficient production are achieved.

The disclosure provides a method for remotely diagnosing faults in a powertrain of an electric vehicle. The method can comprise collecting real-time data from the powertrain of the electric vehicle; transmitting the real-time data to a cloud platform; ranking a feature importance on the real-time data using a random forest model; optimizing hyperparameters of the random forest model using a simulated annealing algorithm; deploying the optimized random forest model on the cloud platform for real-time fault classification and diagnosis; and using the cloud platform to provide real-time fault alerts and diagnostic reports for the powertrain of the electric vehicle.

This invention relates to the field of automotive diagnostic equipment technology, specifically to a remote diagnostic method, system, terminal device, and storage medium. The method includes: upon receiving a diagnostic command from a remote diagnostic device, first determining whether the current network connection status meets preset conditions. If the current network connection status does not meet the preset conditions, a first data transmission device sends a repeat request command to the remote diagnostic device, causing the remote diagnostic device to resend the diagnostic service request command to the first data transmission device, until the current network connection status meets the preset conditions. This approach ensures accurate diagnosis of the vehicle under test even in poor or abnormal network conditions. It also avoids the possibility of the ECU of the vehicle under test being locked due to network failure during the execution of a time-consuming function, thus improving the diagnostic success rate.

A method for managing communication between a motor vehicle and a remote vehicle diagnostic system installed on a computer not part of the motor vehicle. This method allows for the replacement of a physical communication interface with a virtual communication interface and the use of a simple OBD-Ethernet cable (401) to connect the computer to the vehicle. By emulating steps of the DoIP communication protocol, the method enables diagnostics by directly transmitting commands from the remote diagnostic system to a gateway in the vehicle. The gateway then redirects the commands to the relevant local diagnostic systems.The system according to the invention then receives responses from local diagnostic systems and transmits them to the remote diagnostic system. Figure for the abstract: 1.