8 results about "Corrective maintenance" patented technology

The invention discloses a harbor area communication optical cable intelligent operation and maintenance method and system based on the AI technology. The method comprises the steps that optical cable sound wave vibration intensity parameters, environment parameters and positioning signal parameters are obtained in real time; performing quantitative preprocessing on each parameter and generating a vibration energy entropy coefficient, an environment stress coefficient and a positioning confidence coefficient; calculating a health index according to the optical cable health assessment model fusing the coefficients; triggering corresponding response measures according to the health indexes; generating a maintenance priority list, and performing path planning of a plurality of operation and maintenance nodes based on a Dijkstra algorithm; and updating the health assessment model. The system comprises a data acquisition module, a database storage module, an intelligent operation and maintenance center and an operation and maintenance module. According to the method, multi-dimensional sensing data is collected and quantified into corresponding coefficients, the optical cable concealment damage and potential risk sensing capacity is improved, the evaluation model is established to predict and accurately judge the operation state of the optical cable, active preventive and repairable maintenance is guided to be implemented, and the comprehensive operation and maintenance capacity of the system is improved.

The application relates to a failure prediction maintenance method and device with a preventable strategy, and relates to the field of equipment prediction and maintenance technology. In view of the problems in the prior art that a traditional two-state reliability model is difficult to accurately describe the degradation degree, failure condition and maintenance state of a system in a service life, the calculation process is relatively single, and the result error is relatively large, the technical scheme is as follows: the failure prediction maintenance method with the preventable strategy comprises the following steps: collecting a probability distribution obeyed by the residual life of a system; collecting maintenance time and maintenance cost; establishing an optimization model; iteratively processing the model to obtain an optimal failure prediction interval and a residual life threshold value; when the optimal failure prediction interval is reached, the residual life of the system is predicted, the residual life is compared with the threshold value, and if the residual life is lower than the threshold value, the system is subjected to corrective maintenance, and if the residual life is higher than the threshold value, the system is subjected to preventive maintenance. The application is suitable for application in preventive maintenance work, and establishes a new research basis for the research of preventive maintenance work.

This invention presents an intelligent global dynamic maintenance method for multi-component systems considering imperfect maintenance, based on deep reinforcement learning. First, it acquires the degradation observation sequence of each component through periodic inspections, establishes a stochastic process model of component degradation, and achieves iterative RUL prediction through offline training and online Bayesian updates. Then, it determines the baseline predictive maintenance timing and, considering imperfect maintenance improvement factors, determines the baseline delayed maintenance time. Simultaneously, it constructs a maintenance timing deviation penalty cost model for group maintenance. Next, it uses the PPO algorithm to perform rolling optimization on the dynamic global group maintenance (DGGM) to output maintenance combinations and maintenance execution times. When a sudden failure occurs during operation, dynamic opportunistic imperfect maintenance (DOIM) is triggered, performing corrective maintenance on the failed component and determining the opportunistic maintenance component set, synchronously updating subsequent maintenance plans, thus achieving intelligent global dynamic maintenance decision-making in an infinite time domain. This invention realizes joint optimization of predictive and opportunistic maintenance for multi-component systems.

The present application is applicable to the technical field of rail transit, and discloses a system and method for monitoring a secure data network of a railway train control system, a device, and a medium. The system comprises a channel monitoring device and a central maintenance device, wherein the channel monitoring device is deployed on the side of a station device and / or a central device in a secure data network of a railway train control system, and the channel monitoring device and the central maintenance device are independently networked to form a supervisory data network; the channel monitoring device collects in real time channel communication data of the station device and / or the central device in the secure data network of the railway train control system, and sends the collected channel communication data to the central maintenance device by means of the supervisory data network; and the central maintenance device receives the channel communication data collected in real time, and performs multi-dimensional processing on the data to determine a channel communication data anomaly analysis result. The solution of the present application has the effects of high sampling accuracy, high security, and accurate anomaly localization, and can realize a transition in the operations and maintenance of a secure data network from corrective maintenance to condition-based maintenance by means of intelligent analysis.

The invention is a hydraulic breaker, which is equipment used for breaking large rocks or any objects intended to be reduced into smaller pieces, characterized by: - including a monolithic body (60) designed to reduce the number of components that may fail during the breaking operation, ensuring uninterrupted machine operation, lowering production, assembly, and maintenance costs, facilitating preventive and corrective maintenance processes, and eliminating separate components prone to failure, such as tie rods (140), the lower body (150), and the valve body (160).

The application provides a kind of optimization method of six-rotor unmanned aerial vehicle maintenance strategy, including determining the kind of maintenance strategy and the energy consumption cost of each maintenance strategy;Wherein, maintenance strategy includes preventive maintenance strategy, preventive replacement strategy, corrective maintenance strategy and start new component strategy;According to the energy consumption cost of each maintenance strategy, and combined with the preset variable to be solved, the objective function with the minimum system operation and maintenance cost rate as the target is constructed;Wherein, the variable to be solved includes unit state difference threshold, preventive maintenance frequency threshold and detection interval;The minimum solution of target function is iterated, and the optimal solution of unit state difference threshold, detection interval and preventive maintenance frequency threshold in the variable to be solved is obtained, to optimize and adjust the corresponding maintenance strategy. By implementing the application, the problem of unbalance of fault components and unbalance of unit state difference in six-rotor unmanned aerial vehicle can be solved at the same time, and the effectiveness and feasibility of maintenance strategy are improved.

The invention discloses a method and device for determining the number of spare parts of equipment parts, equipment and a storage medium, and relates to the technical field of traffic product overhaul, and the method comprises the steps: determining an evaluation period and an overhaul regulation of target equipment; determining a pre-maintenance and replacement number corresponding to each prevention maintenance task executed by the target equipment in the evaluation period based on the maintenance regulations, and determining life distribution characteristic parameters based on working state data, including a plurality of data pairs, of the target equipment; determining an average fault rate of each equipment component based on the life distribution characteristic parameters and the evaluation period, and determining a fault replacement number corresponding to repairable maintenance due to a sudden component fault in the evaluation period based on the average fault rate and a preset spare part confidence level; and determining a spare part number corresponding to each equipment part in the target equipment in the evaluation period based on the preventive maintenance replacement number and the fault replacement number. Therefore, the efficiency of determining the number of equipment part spare parts can be improved.

The engine maintainability verification method based on the virtual technology comprises the following steps that a virtual maintenance verification model is constructed, and the virtual maintenance verification model comprises a virtual maintenance scene model, an engine prototype model, a maintenance tool model and a maintenance personnel human body model; carrying out maintenance process virtual simulation, generating maintenance process animations, maintenance personnel gestures and maintenance operation steps, synthesizing the maintenance process frame by frame, and recording theoretical time required by each maintenance step; and evaluating the maintainability design feasibility, counting the time required by each maintenance step to calculate the repairable maintenance time or the preventive maintenance time, and judging whether the repairable maintenance time or the preventive maintenance time meets the requirements or not. The invention further provides an engine maintainability verification platform based on the virtual technology. According to the method and the platform, modeling of an engine digital prototype and a maintenance scene can be realized, analog simulation is carried out on the maintenance process, and thus the maintenance feasibility and the maintenance rationality of an engine structure are preliminarily verified in the early development stage.