12 results about "Software Malfunction" patented technology

A method for supporting troubleshooting software and hardware issues in a distributed control system (DCS) associated with an automation equipment in industrial plant includes monitoring data; detecting an anomaly in the monitored data based on predetermined anomaly detection rules; based on a result of the detecting, performing, for a detected anomaly, a similarity search on historic anomaly data associated with the DCS and / or the automation equipment; based on a result of the performed similarity search, querying a large language model (LLM) for diagnosis and / or recommendation for troubleshooting the detected anomaly; based on the querying, obtaining an output from the LLM, wherein the output is indicative of a diagnosis and / or recommendation for troubleshooting the detected anomaly; and providing the output to a user.

Embodiment including an apparatus, method and system for collapsing / lowering an exoskeleton device include at least one motor and at least one component. In some embodiments, the device is configured to be moved by the at least one motor. When at least one of a plurality of faults including power faults such as a low power fault and a power failure fault, electrical faults, software faults and mechanical faults are detected in the powering the exoskeleton device, one or more components of the device may be decelerated via the at least one motor.

The present application provides a method, apparatus, storage medium, and computer device for determining the cause of an accident. The method includes: in the event of an accident involving an autonomous vehicle, using hardware device detection data and software module result data corresponding to the accident investigation period as accident data; for each investigation moment in the accident investigation period, determining the hardware fault and software fault existing in the autonomous vehicle at that investigation moment based on the hardware device detection data and software module result data, respectively, to obtain hardware fault information and software fault information corresponding to that investigation moment; determining the critical moment of the accident from each investigation moment based on each investigation moment, the hardware fault information corresponding to each investigation moment, and the software fault information corresponding to each investigation moment; and using the critical moment of the accident to locate the time when the fault causing the accident occurred. The method of the present application can improve the efficiency of analyzing the cause of the accident.

The invention discloses an AI dynamic monitoring guard system based on edge computing and an implementation method, relates to the technical field of highway toll collection equipment monitoring, and solves the technical problem that the running states of hardware equipment and software service cannot be monitored at the same time in the prior art. The method comprises the following steps: acquiring safety data of a highway toll collection system and environment data corresponding to a collection moment; obtaining a correlation coefficient of the operation data and the log data through calculation, and processing the security data based on the correlation coefficient to obtain equipment target data and software target data; calculating an equipment fault evaluation coefficient and a software fault evaluation coefficient based on the equipment target data and the software target data; calculating to obtain a safety evaluation coefficient based on the equipment fault evaluation coefficient and the software fault evaluation coefficient, and correcting the safety evaluation coefficient based on the environmental data to obtain a target safety evaluation coefficient; and judging whether to carry out early warning based on the target safety evaluation coefficient. The technical problem is solved.

The present invention relates to the technical field of charging station monitoring and control systems. Specifically, it relates to a control system for self-repairing charging pile faults, which includes a data acquisition and preprocessing module, a deep learning fault diagnosis module, and a fault self-repair strategy module. The self-repairing charging pile fault system based on deep learning provided by the present invention constructs a deep learning fault diagnosis model based on CNN and LSTM, which can extract local features and time series dependencies from multi-dimensional data, accurately identify complex faults that are difficult to detect by traditional methods, and the diagnostic accuracy rate is increased by more than 30%. Then, when the fault type diagnosis result output by the deep learning fault diagnosis module indicates that it can be self-repaired, corresponding fault self-repair operations are taken through the fault self-repair strategy module. For example, for software faults, the program is restarted or parameters are adjusted, and for hardware faults, the standby circuit is switched, reducing the manual intervention time by about 60% and significantly reducing the operation and maintenance costs.

Even in the event of a software malfunction that prevents start-up, the malfunction can be addressed without replacing a control unit of a display device. A work machine (1) is provided with a bird's-eye view image display device (20), which is an example of a display device. This bird's-eye view image display device comprises a monitor (22) for bird's-eye view images and a calculation unit (21) for screen display, and the calculation unit for screen display is provided with a first processing unit (211) for controlling a screen display function and a second processing unit (212) for controlling a predetermined function other than the screen display function. The second processing unit issues a notification of a malfunction to a work machine control unit (10), which is an example of another type of equipment, when the first processing unit has malfunctioned, and causes the first processing unit to transition to a recovery mode when an indication is received from the work machine control unit that indicates a transition to a recovery mode in which software recovery is achievable by an external storage medium (40).

This invention discloses a hardware fault control method and system based on a motor controller. The method includes configuring a hardware fault signal as an interrupt trigger input for the microcontroller; after system power-on initialization, resetting the driver chip and then enabling the hardware latch circuit, which latches the hardware fault signal and outputs a total hardware fault signal; monitoring the hardware fault signal, and when the trigger edge of the hardware fault pin is interrupted, determining whether the current motor state meets preset conditions; if the conditions are met, setting the corresponding software fault flag; acquiring the software fault flag and the total hardware fault signal output by the hardware latch circuit, and combining this with whether the motor is currently under high-voltage power-on, performing fault diagnosis and corresponding protection and recovery operations. This invention solves the technical problems of slow hardware fault diagnosis response speed, easy false alarms during power-on, and limited fault recovery strategies in existing technologies.

The invention discloses a hardware priority arbitration and selection circuit for fire control, which comprises a mode selection unit used for outputting levels representing different working modes according to user operation, and a priority arbitration unit used for physically switching a control path on a hardware level according to a level signal, mode priority setting is realized on hardware; the driving output unit is used for driving an external fire-fighting executing mechanism; and the state feedback unit is used for feeding back the state of the actually gated control path to the control chip in real time so as to realize mode visualization and event recording. Mode priority arbitration is achieved in a pure hardware mode, and misoperation caused by software faults is avoided; the arbitrated signal enters a power driving link, so that delay and interference are reduced, and the action reliability of an execution mechanism is improved; the state feedback unit is independent of user input so as to ensure that the system can accurately obtain the actual operation state, and the overall safety level of the fire control system is improved.

The invention discloses a method and a system for reducing a DVR (Digital Video Recorder) fault risk. The method comprises the following steps: monitoring data of an automobile data recorder in real time; after monitoring that the data of the automobile data recorder is abnormal, judging a fault source and a fault type; the fault source comprises hardware and software; according to the fault source and the fault type, popup reminding is performed on a user, and the user is prompted to repair the automobile data recorder fault according to the repair strategy. According to the method, the automobile data recorder is monitored in real time, and the user pop-up window is carried out when the abnormity is detected, so that the user can be actively reminded to repair the fault, and the risk caused by the fault of the automobile data recorder is avoided or reduced; and when the automobile data recorder has a software fault, the software fault is automatically printed and a fault log is uploaded, and a developer is pre-warned to repair the bug in advance without completely depending on the feedback of a user and a tester.

The invention relates to an industrial personal computer repair decision-making method based on an operating environment and a related device. The method comprises the following steps: acquiring working condition data of an industrial personal computer, and if the working condition data does not meet an operation condition matched with a current environment, performing fault analysis on the working condition data to obtain a hardware fault analysis result and a software fault analysis result; if only one of the hardware fault analysis result and the software fault analysis result is judged to be a fault establishment item, a repair suggestion is provided on an independent level according to operation influence characteristics of the fault establishment item in the current environment; if the hardware fault analysis result and the software fault analysis result are judged to be fault establishment items, according to the failure coupling relation between the two types of fault establishment items in the current environment, a repair suggestion is provided on the joint level. By adopting the method, the self-adaptive selection of the repair decision path can be realized, and the repair suggestion is kept consistent with the actual operation state, so that the pertinence and the accuracy of the repair decision are effectively improved.

A method for supporting troubleshooting software and hardware issues in a distributed control system (DCS) associated with automation equipment in an industrial plant is disclosed. The method includes monitoring data from the DCS and / or monitoring data from the automation device. The method further includes detecting an anomaly in the monitored data based on a predetermined anomaly detection rule. The method further includes performing a similarity search on historical anomaly data associated with the DCS and / or the automation device for the detected anomaly based on the detection result. The method further includes querying a large language model (LLM) (160) for diagnostics and / or suggestions to troubleshoot the detected anomalies based on results of the performed similarity search. The method further includes obtaining an output from the LLM (160) based on the query, where the output indicates a diagnostic and / or a suggestion to troubleshoot the detected anomaly. The method also includes providing an output (180) to the user.

Even in the event of a software malfunction that prevents start-up, the malfunction can be addressed without replacing a control unit of a display device. A work machine (1) is provided with a bird's-eye view image display device (20), which is an example of a display device. This bird's-eye view image display device comprises a monitor (22) for bird's-eye view images and a calculation unit (21) for screen display, and the calculation unit for screen display is provided with a first processing unit (211) for controlling a screen display function and a second processing unit (212) for controlling a predetermined function other than the screen display function. The second processing unit issues a notification of a malfunction to a work machine control unit (10), which is an example of another type of equipment, when the first processing unit has malfunctioned, and causes the first processing unit to transition to a recovery mode when an indication is received from the work machine control unit that indicates a transition to a recovery mode in which software recovery is achievable by an external storage medium (40).