13results about How to "Quick Troubleshooting" patented technology

This invention relates to an intelligent fault handling method, a prefabricated substation, a cloud server, and a storage medium. The method includes: performing preliminary fault diagnosis on preprocessed feature data to obtain initial fault diagnosis results; based on the initial fault diagnosis results, performing feature fusion on the feature data using a dual-branch feature fusion model to obtain fused data; performing fault diagnosis based on the fused data and outputting fault diagnosis results; and generating an optimal inspection route based on the fault level and impact range of the fault diagnosis results. The technical solution provided by this invention achieves rapid, intelligent, and accurate fault diagnosis through preliminary and secondary fault diagnosis mechanisms. Compared to manual inspection, it significantly shortens fault screening and repair time, improves fault diagnosis accuracy and maintenance efficiency, and reduces maintenance costs.

The utility model belongs to the technical field of intake manifolds, and provides an intake manifold device for a compressed air system of a power station, which comprises a steam pocket, a reducer and a branch pipe, two ends of the steam pocket are respectively provided with an air inlet and a water outlet, the reducer comprises a first reducer and a second reducer, the first reducer is connected with the air inlet of the steam pocket, and the second reducer is connected with the water outlet of the steam pocket. One end, far away from the steam pocket, of the second reducer is connected with the drain valve; a plurality of branch pipe connecting ports are uniformly formed in the two sides of the steam pocket, each branch pipe connecting port is communicated with a branch pipe through a branch pipe seat, and one end, far away from the steam pocket, of the branch pipe is connected with a user pipeline through a branch valve. The utility model provides an intake manifold device for a compressed air system of a power station, which can enable all user pipelines of the compressed air system to be arranged in a centralized manner, realize integration, improve the space utilization rate and facilitate the operation of overhaul and maintenance.

The application discloses a direct current transmission converter transformer valve side ground fault diagnosis method, device and storage medium, belongs to the technical field of direct current transmission system fault diagnosis, and the direct current transmission converter transformer valve side ground fault diagnosis method provided by the application comprises the following steps: when the converter transformer valve side is grounded, the number of fault current phases of the converter transformer valve side is determined; when the number of fault current phases is two, it can be determined that a single-phase ground fault exists in the connecting line between the converter transformer valve side and the converter valve; and when the number of fault current phases is one, it can be determined that a ground fault exists in the valve side winding of the converter transformer. When the converter transformer valve side is grounded, the number of fault current phases is used to determine the fault position, manual operation is not required, and the fault position can be quickly determined for fault troubleshooting.

The application provides a power grid fault traveling wave positioning method based on a fusion optimization algorithm, comprising: establishing a dynamic virtual fault framework model of a power grid, randomly generating a plurality of virtual fault particles containing position coordinates, and constructing an initial virtual fault particle cluster; using a shortest path algorithm to calculate the topological path length of each virtual fault particle in the virtual fault particle cluster to all measurement points in the power grid, and then calculating a virtual fault space-time feature vector; setting the traveling wave arrival time when a real fault occurs as a target clustering centroid in a feature space, and calculating a feature matching fitness; constructing a non-convex optimization problem with the optimal feature matching fitness as a target, solving the problem using a fusion optimization algorithm, and thus obtaining a fault positioning result and a traveling wave velocity, so as to realize traveling wave positioning. The application can solve the problems of local optimum, slow convergence speed and high calculation cost in the prior art.

This utility model relates to the field of testing device technology and discloses a testing device for an automotive cockpit controller, comprising: a main cabinet, which is divided into multiple functional layers along a first direction by partitions, the functional layers being suitable for testing at least one function of the automotive cockpit controller; and a darkroom connected to the main cabinet, the darkroom being suitable for forming a dark space; the main cabinet includes: a first side panel, the first side panel being suitable for mounting the object under test for testing in the darkroom. By dividing the main cabinet into multiple functional layers along the first direction, the parallel testing capability of multiple functions of the automotive cockpit controller is realized. This not only optimizes space utilization but also significantly improves testing efficiency, allowing different functional modules to be tested simultaneously, greatly shortening the overall testing cycle. The connection design of the darkroom provides a controllable dark environment for optically related tests, ensuring the reliability and consistency of test data.

This utility model discloses a more compact fuel pump, including a fuel pump, a motor, and a control unit connected to the motor. The control unit forms a mounting cavity, and an overload protector, a switch, and a drive rod are disposed within the mounting cavity. The overload protector is electrically connected to the switch, the switch has a protruding control end, and the drive rod has a recessed drive groove, with the control end located within the drive groove. One end of the drive rod extends to the outside and slides within the mounting cavity. This utility model has the following advantages and effects: it adopts a compact design, optimizes the original structure and integrates functions, reducing the overall volume, effectively solving the technical bottleneck of difficult installation of traditional equipment in confined spaces, effectively avoiding poor contact, improving equipment reliability, reducing maintenance costs, and adapting to space-constrained industrial applications.

The application discloses a ship lift bearing ship chamber on-line monitoring method and monitoring system, including the following contents: data monitoring, data acquisition, state evaluation and fault analysis; the health state of the equipment of the ship lift is evaluated according to the collected data; if the evaluation result is abnormal, a prewarning or alarm signal is sent according to the abnormal degree; when the alarm is monitored, the collected data is compared with the data in the data storage module, the alarm information is diagnosed and analyzed to generate the equipment fault maintenance decision; the application monitors the structure capacity and operation posture of the bearing ship chamber, and realizes real-time control of the structure performance index and equipment operation state of the bearing ship chamber, so that the bearing ship chamber is monitored; when the health state of the bearing ship chamber is in an abnormal state, the bearing ship chamber is adjusted and maintained in time; when the alarm signal is received, the monitoring data is compared with the data in the data storage module, the fault diagnosis is quickly obtained, and the maintenance decision is given.

The application discloses a kind of variable working condition equipment key component fault diagnosis method of class disequilibrium data driving. For the key rotating component in electromechanical complex equipment, obtain the vibration signal and its fault type under the normal and fault state operation of component, construct diagnostic data set and train model, so as to obtain the diagnostic result of the sensor data to be predicted using the trained fault diagnosis model. The application considers the complex situation that the current industrial monitoring data is under variable working condition and class disequilibrium, firstly applies channel-by-channel convolution to generate local feature enhancement weight matrix, and realizes feature enhancement in local feature space using fewer training parameters;Design and introduce wide-range convolution kernel considering the inherent physical characteristics of rotating components, fully and stably capture effective feature information under variable working condition, realize end-to-end fault diagnosis of key rotating components of electromechanical equipment. The application is simple and efficient, not only has theoretical innovation, but also has high practicability.

This invention discloses an intelligent alarm monitoring system and method for multimodal equipment in a steel plant. It includes the following components: a multimodal sensor network for real-time acquisition of operational data from gas, fire, and high-voltage frequency converter equipment in the steel plant; a data acquisition and preprocessing module responsible for receiving data from the multimodal sensor network and performing preprocessing operations such as data cleaning, filtering, and normalization to improve data quality and usability; an intelligent alarm analysis module that, based on machine learning algorithms and expert system rules, performs real-time analysis of the preprocessed data to determine if there are any abnormal states in the equipment and generates corresponding alarm information; and an alarm information management module that classifies, stores, and manages the generated alarm information and promptly pushes the alarm information to relevant personnel according to the severity and priority of the alarm. This invention achieves comprehensive monitoring of gas, fire, and high-voltage frequency converter equipment in a steel plant by integrating data from multiple sensors.

This utility model discloses a power-assisted tilting machine, which includes a carrier module, a conveying module, a lifting and positioning module, and a lifting module. The carrier module is located on the conveying module, and the conveying module is used to transport the carrier module. The lifting and positioning module is located below the conveying module. The lifting module is located above the lifting and positioning module. The lifting module includes a lifting drive mechanism, a lifting slide, a gripper cylinder, and gripping components. The lifting drive mechanism is connected to the lifting slide. The lifting slide is connected to a support frame. The gripper cylinder is located on the support frame, and its two output ends are respectively connected to the gripping components. The two gripping components are arranged opposite each other, and each of the two gripping components has a rotating pin on its opposite side for engaging with gripping holes on the workpiece. The technical solution of this utility model is simple to operate and highly safe. The system is stable and reliable, easy to maintain, and reduces labor costs.

The application discloses a relay detection circuit, a method and high-voltage circuit system, the circuit comprises: a control module, the control module is electrically connected with a driving component of a relay, the control module is used for driving the driving component to control the switch of the relay to be turned on or turned off; a pre-charging module, a first end of the pre-charging module is electrically connected with a positive DC bus, and a second end of the pre-charging module is electrically connected with a DC output end, wherein the DC output end is used for connecting a load; a state detection module, a first end of the state detection module is electrically connected with the positive DC bus and a first end of a switch of the relay, and a second end of the state detection module is electrically connected with the DC output end and a second end of the switch of the relay, and the state detection module is used for outputting a relay state detection signal based on a voltage between the first end of the switch of the relay and the second end of the switch, and the above-mentioned circuit can improve the accuracy of state detection of the switch of the relay.

This invention discloses a multi-channel independent closed-loop automatic temperature control system and method based on an STM32 microcontroller, comprising: a preset acquisition cycle; temperature reading through a main control module to obtain two acquisition data points; calculation of the absolute value of the difference between the two acquisition data points from each sensor; determination of whether to use the current acquisition data based on a comparison of the absolute value of the difference with a preset acquisition data difference threshold; judgment of the effective temperature data to be used based on preset upper and lower temperature thresholds for each channel, and independent control of the start / stop of the buzzer, fan drive module, and heating drive module corresponding to the current channel based on the judgment result; real-time display of the effective temperature data based on the control result; and execution of a preset cycle delay based on the above steps, after which the next cycle begins. This invention achieves precise temperature control and multi-channel independent operation, and can be widely applied to various scenarios requiring multi-channel independent temperature control.

This invention discloses a method, apparatus, device, and storage medium for processing driving images. The method includes the following steps: in response to the startup of the vehicle's infotainment system, if it is determined that the current white balance coefficient of the acquired camera is an abnormal value, a white balance anomaly processing strategy is implemented to obtain a target white balance coefficient; based on the target white balance coefficient, the texture value of the current frame image is calculated; based on the verification result of the texture value, it is determined whether the texture value needs to be corrected; if it is determined that the texture value needs to be corrected, image rendering is performed based on the corrected texture value, and the rendered image is output to the vehicle display device. This application significantly improves the color accuracy and stability of the camera output image, effectively avoids the problem of subsequent texture value calculation errors caused by initial white balance coefficient anomalies, and allows for rapid fault location and troubleshooting when problems occur, reducing maintenance costs and improving system maintainability.