11results about How to "Improve operational capabilities" patented technology

This invention discloses an intelligent empowerment system for automotive after-sales service and its implementation method. The system includes a case collection module, a case review module, a knowledge sharing module, an intelligent recommendation module, a mutual assistance and communication module, a backend data analysis module, and a business empowerment module. Dealer repair personnel can submit standardized fault cases to the platform. After review, a case database is formed. The system calculates recommendation weights based on user profiles, case quality, and interaction data, achieving personalized distribution and precise matching of cases. Users can browse cases, seek help, and engage in interactive learning within the platform, forming a technical mutual assistance community. The backend data analysis module structurally extracts the collected cases and interaction information, generating standardized technical intelligence, and pushes it to business systems such as technical support, warranty management, spare parts planning, and training management, building a two-way empowerment mechanism between OEMs and dealers, and achieving closed-loop management from fault cases to business optimization.

This invention discloses a unified management method and system for provincial and municipal station dispatching, relating to the field of integrated operation and management technology. The method includes: receiving data from provincial and municipal station monitoring equipment, including timestamps, event codes, and associated parameters; analyzing the data to identify data fluctuations; and filtering potential fault signals by comparing historical patterns to obtain initial fault screening results. The unified management method for provincial and municipal station dispatching provided by this invention achieves early identification of fault signals and accurate classification of abnormal patterns by receiving and analyzing data from monitoring equipment. It improves the efficiency and accuracy of data analysis by comparing real-time and historical data, accelerates fault detection and enhances the handling capability of complex abnormal situations by identifying data changes in different time periods, sets alarm response times and processing priorities for different anomaly types to improve emergency response efficiency, optimizes network traffic management strategies and data transmission paths, reduces processing latency, improves network performance and stability, and effectively enhances operational efficiency and user experience.

The invention discloses a corrugated paper production line virtual debugging and operation optimization system based on digital twinning. The system comprises a digital twinning building module, a multi-dimensional model building and training module, a dominant variable recognition module and a virtual debugging and optimization module. The digital twin construction module is used for acquiring physical entity data and operation condition data of a production line and constructing a digital twin consistent with the physical production line; and the multi-dimensional model construction and training module is used for synchronously constructing a multi-physical sensitive dimension model in the digital twin for key processes of a production line, and relates to the technical field of corrugated paper production. According to the corrugated paper production line virtual debugging and operation optimization system based on digital twinning, by constructing the digital twinning body and the virtual debugging module, the production process can be debugged and optimized in advance in a virtual environment, the debugging period of a traditional production line is remarkably shortened, and the debugging cost and risk in actual production are reduced.

The application discloses a kind of supply chain data quality automatic check and closed loop management method and system, it is related to supply chain digital technology field, including the following steps: the supply chain authority source list obtained is input into the preset check rule set, according to rule check result extraction problem field set;Problem field set is injected into DCAN responsibility mapping mechanism, and the ability matrix is output through the pre-constructed multi-modal responsibility intelligent agent, and the responsibility proportion weight of responsibility subject is calculated based on ability matrix;The responsibility proportion weight is input into responsibility allocation decision model, and the allocation responsibility of corresponding responsibility subject is output;According to allocation responsibility, dispatch problem rectification task to corresponding responsibility subject;If it is detected that rectification fails, then extract rectification failure field set, and according to the preset responsibility transmission path, rectification failure field set is transmitted to secondary responsibility subject, and the problem is solved until execution cycle is performed.This application is used to solve the problem that data responsibility attribution is not clear, rectification task is dispatched, and there is lack of tracking after rectification process is broken.

The application discloses a pipeline inspection and cleaning device, which comprises a support body composed of a support and a support part pivotally connected to the outer side of the support, a driving assembly is arranged on the support, and the support part is driven to open or fold outward with the support as the center when the driving assembly works; a pipeline inspection part is connected to the front end of the support body, and the pipeline inspection part comprises an inspection base, a CCD inspection head and a high-pressure air jet head; a cleaning part is detachably connected to the pipeline inspection part through a limiting and damping assembly, and the cleaning part comprises a steel brush and a cutting piece connected to a clutch connecting shaft, and an adjusting assembly is arranged on the outer periphery of the clutch connecting shaft. The device is suitable for pipelines with different diameters, has the functions of rapid inspection and rapid cleaning, and can quickly complete the task of inspecting and cleaning pipelines. The device can greatly reduce the risk of pipeline blockage by periodically inspecting and dredging low-lying sections with high risks, thereby improving the operation capacity of the tramcar and avoiding damage to the tramcar.

This application discloses a port route planning method, system, device, and storage medium based on virtual lanes. First, based on a pre-built lane grid index, the starting and ending lanes of the target vehicle are quickly located. Second, based on the obstacle and structural information of the current lane, a set of key lane-changing points formed by obstacles and / or process constraints is extracted. Then, the actual lanes and the virtual lanes generated based on the key lane-changing points are used together as graph nodes, and a weighted topology graph is constructed with travel cost as the edge weight. Next, the optimal path from the starting lane to the ending lane, passing through all key virtual lane nodes in sequence, is obtained based on the shortest path algorithm. Finally, the optimal path is converted into an executable path point sequence containing the key lane-changing points. This method can efficiently adapt to the dynamic operating environment and process constraints of ports, improving the flexibility and efficiency of route planning.

The application provides a highway toll station service capacity dynamic regulation method and system, relates to the highway management and control technical field, and the method comprises the following steps: collecting traffic operation state sensing data, real-time operation data and AI event detection data of the toll station of the highway, and fusing and generating comprehensive operation state evaluation data set; based on the comprehensive operation state evaluation data set, it is judged whether the closing condition of the toll station is met, if the closing condition is met, the closing operation of the toll station is executed, and the temporary closing prompt information is pushed to the vehicle end; if the closing condition is not met, the number of entrance and exit lanes of the toll station is dynamically allocated according to the entrance and exit traffic flow and the average service capacity of the entrance and exit lanes of the toll station, and the slow-down prompt information is pushed to the vehicle end, so that the service capacity of the highway toll station is dynamically regulated to guarantee the smooth road and improve the operation efficiency.

The invention relates to the technical field of cleaning equipment operation data analysis, and discloses a cleaning equipment operation data analysis method and system, which can identify the ground type and generate a corresponding environment identifier by acquiring ground reflection light characteristic information. In combination with the ground cleanliness sensor data and the position information of the cleaning equipment, the system can inquire the environment identifier corresponding to the sensor data. On the basis, whether signal fluctuation is caused by environmental reflection characteristics or not is judged by analyzing signal fluctuation characteristics of sensor data according to environmental identification and the signal fluctuation characteristics. The judgment mechanism effectively solves the problem of sensor data misjudgment caused by a high-reflectivity ground material in the prior art.

This invention belongs to the field of rail transit technology, and particularly relates to a train turnaround control method. It includes: after a first train obtains turnaround resources according to its travel path, it controls the switch to the reverse position; after controlling the switch to the reverse position, it begins to turn onto the route, clearing the turnaround resources in the area its tail has passed through, gradually releasing the cleared turnaround resources until the first train has completely cleared the movable area in front of the switch; after the first train has completely cleared the movable area in front of the switch, it controls the switch to the fixed position. This invention, by further refining the switch area, fully utilizes and controls the switch resources available to the train, thereby improving train turnaround efficiency.

The application provides a script-based virtual-real fusion guide method and system based on Beidou positioning, and relates to the technical field of intelligent travel guide, which comprises filtering and calibrating the user position collected through Beidou positioning and collecting real scene pictures; an interactive framework is constructed, and the node content is triggered when the deviation between the user position and the node position is not greater than the deviation threshold; the virtual character is called according to the node content to explain the real scene pictures, and the interactive task is published in combination with the behavior data of the user; the emotion recognition is performed on the node content, the real scene pictures, the behavior data and the interactive task to generate emotion features, which are input into an AI composition model to output scene music; the interactive interface of the virtual character and the interactive task is fused with the real scene pictures based on a fusion rendering algorithm, and the guide picture is output and the scene music is played synchronously, so that the script-based virtual-real fusion immersive guide based on Beidou high-precision positioning can be realized, and the tour experience of tourists and the operation efficiency of the scenic spot can be greatly improved.

The invention discloses a customer asset intelligent management system based on a hierarchical dynamic driving model, which relates to the technical field of business data processing and comprises a unified data middle table, a hierarchical dynamic driving engine, a strategy driving unit, a feedback optimization unit, a loss early warning and intervention unit and a quantitative stripping decision unit. According to the invention, dynamic and automatic customer asset management is realized, and the system can automatically execute a precise strategy for intervention, upgrading or stripping, so that the overall value and operation efficiency of customer assets are remarkably improved, and the management efficiency of the customer assets is improved.