70 results about "Remote diagnostics" patented technology

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.

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.

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.

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.

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.)

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.

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.

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.

Disclosed are a data transmission system, method, and apparatus, a device, and a medium, used for solving the problem in the prior art of low data transmission efficiency in a remote vehicle diagnostic process. Specifically, a vehicle diagnostic device establishes a UDT communication connection with a remote diagnostic server, and during a data transmission process, the vehicle diagnostic device periodically determines a current congestion value on the basis of a transmission delay between the vehicle diagnostic device and the remote diagnostic server, a network state of the vehicle diagnostic device, and the load capacity of the remote diagnostic server, and according to a target transmission rate corresponding to the current congestion value, sends a UDT data packet encapsulated by data to be transmitted of a target vehicle.

The invention relates to a CIR version batch configuration management and online diagnosis warning system and an implementation method. Belongs to the technical field of railway communication, and comprises a real-time communication module, a version information analysis module, a version batch configuration management module, an online diagnosis warning module, a database storage module and a terminal display module, and the system is connected with a maintenance personnel terminal and a database storage server through the Ethernet, is connected with a CIR through a 5G network, and is connected with a CIR server through a 5G network. And version information management and state monitoring are realized. The implementation method comprises the following steps: establishing tables of machine accounts, configuration, expectation, states, diagnosis results and the like in a database storage server, and completing data configuration and generating expectation information by maintenance personnel through a terminal; after the CIR equipment is started, the version state is uploaded, the system analyzes and stores the version state, the diagnosis module compares the expectation with the reality, and if the exception occurs, an alarm is sent to the terminal. According to the system, batch management, remote diagnosis and intelligent early warning of the CIR version are realized, and the operation and maintenance efficiency and the system reliability are improved.

A system and methods for automated support for industrial robots. The system includes a data collection device which communicates with all robots at a customer site, and uploads data to a remote diagnostic system. The method is activated either automatically when an alarm occurs, or by the robot operator or a remote support team. Upon activation, particular diagnostic files are captured and sent from the affected robot's controller to the data collection device and on to the remote diagnostic system. The system employs a knowledge base to diagnose the cause of the issue from the diagnostic files, and support team personnel are also involved to reach a diagnosis. Based on the diagnosis, updated software or configuration files are sent to the affected robot to correct the issue and allow the robot to return to service, instructions are provided to the robot operator, or an on-site service technician visit is scheduled.

This application discloses an active diagnostic device and system for tamping vehicles. The device includes: a main control module that collects and records bus data and saves it as a file; an on-board database for managing data operation and maintenance information; a wireless routing module connected to the main control module, which enables network access to on-board devices via on-board wireless networking; an intelligent diagnostic display connected to the wireless routing module, which enables intelligent diagnosis of on-board network control system faults and intelligent monitoring of the life cycle of each module in the on-board network control system; and an on-board mobile communication module connected to the wireless routing module. When the on-board public network opens access rights, the main control module and the intelligent diagnostic display establish a connection with the remote diagnostic system through the wireless routing module to achieve real-time on-board remote monitoring and diagnosis and data synchronization. This application can solve the technical problems of existing diagnostic devices, such as complex control logic, the inability of operators to quickly locate and resolve problems, and the lack of analytical methods for complex non-logical faults.

This invention relates to the field of vehicle testing technology and discloses a remote diagnostic method, apparatus, device, and medium. The remote diagnostic method is applied to a data transmission device. The invention involves receiving a TCP diagnostic command sent by a data transmitting device; responding to the data transmitting device with a response command and a delay command based on the TCP diagnostic command; sending the TCP diagnostic command to a data receiving device and receiving diagnostic response data from the data receiving device based on the TCP diagnostic command; and sending the diagnostic response data back to the data transmitting device. During data transmission with the diagnostic device, the invention proactively substitutes for negative responses, improving the stability of network latency during remote vehicle diagnostics, reducing or avoiding situations where the vehicle does not respond or the response times out, thus improving the reliability of remote vehicle diagnostics. This solves the problem of unstable latency during remote diagnostics and increases the success rate of remote diagnostics.

The invention provides a multi-protocol fused water-wind-light cooperative control and remote diagnosis method and related equipment, and is applied to the technical field of data processing. According to the invention, a whole-process technical system of data acquisition, early warning, diagnosis, control, management and evaluation is constructed around cooperative control and remote diagnosis of a water-wind-light power generation system. The method comprises the following steps: firstly, collecting operation data and multi-source environment parameters of core equipment, monitoring states of key parts through edge calculation, and generating preliminary fault early warning and power abnormity prompts; a simulation platform is built by means of digital twinning, and a diagnosis instruction and a power distribution scheme are generated in combination with a multi-objective optimization algorithm; then, a self-adaptive cooperative control algorithm is used for linkage with a power grid load and meteorological data to adjust output, and a cooperative control strategy is formed; and finally, the information of the whole link is integrated, comprehensive evaluation information including reliability, benefits and the like of the system is output, and accurate fault diagnosis and efficient operation of the system are realized.

A remote diagnostic control of physical components of a particle accelerator system includes presenting, by at least one processor at a first physical location, a fault control interface including at least one control affordance corresponding to a physical component associated with a particle emitting system and a particle delivery system each located at a second physical location remote from the first physical location, and at least one arrangement presentation corresponding to the physical component and at least one physical device including the physical component, the arrangement presentation including a first operating state indicator associated with the physical component and a second operating state indicator associated with the physical device, and in response to activating the control affordance, and presenting the modified control affordance, the modified first operating state indicator, and the modified second operating state indicator at the fault control interface.

A system, method and apparatus is described for enabling remote diagnostics of an electronic device installed in the field. Remote diagnostic commands from a remote computer system are received by a hub, where they are placed into a payload of an encapsulated message, and then transmitted to an electronic device in accordance with a standardized, local-area wireless communication protocol. The electronic device receives the encapsulated message and executes the remote diagnostic command in the payload in accordance with a custom extension to the standardized, local-area wireless communication protocol. A response to the remote diagnostic command is placed into a payload of another encapsulated message and then transmitted to the hub. The hub retrieves the diagnostic response in the payload and constructs a diagnostic response network packet in accordance with the extension and sends the diagnostic response network packet to the remote computer system.