6results about How to "Reduce investigation" patented technology

A blade scraping and squeezing type actuator torque testing device based on the magneto-rheological technology comprises a shell, a magneto-rheological damping device is arranged in the shell, a flange connecting base is arranged at the upper end of the shell, the magneto-rheological damping device comprises a damping shell, the outer side of the damping shell is communicated with a controllable valve, the controllable valve is connected with a control system, and the control system is connected with the magneto-rheological damping device. A central rotating shaft is axially arranged on the right side of the circle center of the damping shell, the upper end of the central rotating shaft penetrates through the damping shell and extends out of the shell and the flange connecting seat, and a torque rotating speed sensor is arranged on the central rotating shaft between the shell and the damping shell. A plurality of strip-shaped mounting grooves are axially formed in the outer circumference of the blade support disc, blades are arranged in the mounting grooves, springs are arranged between the blades and the blade support disc, one ends of the blades abut against the springs, and the other ends of the blades abut against the damping shell. And an eccentric cavity formed among the damping shell, the blade bracket disc and the blades is filled with magnetorheological fluid.

This invention provides a method and system for abnormal event association processing based on an operation and maintenance knowledge graph, belonging to the field of operation and maintenance management technology. The method includes: taking each abnormal event entity in a structured abnormal event sequence as an input node set; based on the topological mapping position of the input node set in a preset operation and maintenance knowledge graph, aggregating the k-order adjacency topological features and business semantic embedding features of each input node to obtain a graph event representation vector; performing pairwise comparison and temporal alignment of the feature vectors representing different abnormal event entities in the graph event representation vector; iteratively calculating the temporal lag correlation index and state transition probability matrix between each abnormal event entity; and converging to obtain a candidate abnormal event association subgraph based on the state transition probability matrix and a preset association confidence threshold. This invention realizes abnormal event association and handling instruction generation, improving operation and maintenance efficiency and the accuracy of fault root cause location.

The utility model discloses a bridge pile foundation anti-scour structure which comprises an anti-scour protection wall and an isolation layer, the anti-scour protection wall is annular, the anti-scour protection wall is arranged outside a pile foundation body in a sleeved mode, the bottom of the anti-scour protection wall abuts against a riverbed, and the top of the anti-scour protection wall is located above a flowing water face. The anti-scouring protection wall comprises concrete and protection wall steel bars, and the protection wall steel bars are arranged in the concrete. A gap is formed between the anti-scouring protection wall and the pile foundation body, and the isolation layer is arranged in the gap. The technical effects are achieved as follows: the scouring of water flow to the pile foundation body is reduced by utilizing the anti-scouring protection wall, the thickness of a pile foundation steel bar protection layer is indirectly increased, the corrosion speed of pile foundation steel bars is slowed down, and the bearing capacity of the pile foundation body is guaranteed; the anti-scour protection wall is not influenced by the elevation of the river channel scoured by water flow, and the anti-scour protection wall is influenced by self gravity and descends to a riverbed while the scoured elevation of the river channel is reduced; materials required by the anti-scour retaining wall are common materials in construction, so that an existing pile foundation can be conveniently constructed and transformed, and the repair construction cost can be reduced.

This invention relates to the field of hydrogen detection technology, and more particularly to a hydrogen leak detection device for long-tube hydrogen transport trailers. The technical problem is that vibrations from different road surfaces, aging from prolonged use, and vehicle collisions can all cause leaks in the hydrogen storage tanks of long-tube trailers, potentially leading to combustion or explosion, thus threatening the lives of pedestrians and drivers. Furthermore, when leaked hydrogen burns, the flames cannot be extinguished in time, resulting in the complete destruction of surrounding equipment and significant economic losses. The technical solution of this invention is a hydrogen leak detection device for long-tube hydrogen transport trailers, including a carrying box and a movable door; the movable door is movably connected to the upper side of the carrying box. This invention enables the detection of leak sources by observing alarms issued by hydrogen detectors, facilitating the driver to move the leaking hydrogen tank to an open area, preventing the leaking hydrogen tank from affecting other hydrogen tanks, thereby improving the safety of the remaining hydrogen tanks.

This invention relates to a business rule optimization method based on the linkage of model analysis and rule performance monitoring, belonging to the field of information technology. The method includes: constructing a mapping library of business rules and database entity relationships; synchronously monitoring rule execution performance and database access metrics; locating deep bottlenecks from rule logic to data access through correlation analysis; generating targeted optimization suggestions and assessing their impact; and finally implementing optimization and performing closed-loop verification. This invention overcomes the limitations of traditional optimization methods that only focus on the rules themselves, achieving linkage analysis and collaborative optimization between the business logic layer and the data persistence layer. It can proactively identify system bottlenecks, accurately propose improvement measures, significantly reduce the risk of rule iteration, and significantly improve the performance and maintainability of complex enterprise systems.