3results about How to "Reduce redundant data" patented technology

The invention relates to a distributed optical fiber bridge foundation deformation monitoring system and a construction and monitoring method, the distributed optical fiber bridge foundation deformation monitoring system comprises a top optical fiber tube unit, a middle optical fiber tube unit and a bottom optical fiber tube unit, and a connecting optical fiber and a free optical fiber penetrate out of the top of the top optical fiber unit and are respectively connected with a BOTDA (Brillouin Optical Time Domain Analysis) demodulator. A bridge foundation deformation monitoring system is pre-buried by drilling holes in the ground of a bridge foundation area, millimeter-level-precision pile foundation deformation continuous monitoring is achieved through parameter changes, geometric transformation and mechanical transformation of optical fiber signals, and data are stable and reliable; the monitoring system in an optical fiber form is buried in a soil body, so that the pile foundation structure can be prevented from being damaged; meanwhile, the method is suitable for a newly-built bridge and an existing bridge, supports the adjustment of the monitoring range as required in an optical fiber laying area, reduces redundant data, and effectively improves the monitoring efficiency.

This invention provides a method and system for joint formation control of unmanned aerial vehicles (UAVs) and unmanned vehicles (UAVs), relating to the field of vehicle-machine collaboration technology. This invention uses a virtual UAV as the leader, treating both the UAV and the UAV as followers. A fixed formation offset is set for each follower. Communication topology is defined based on graph theory. Real-time acquisition of measured state vectors from sensors is performed. The current estimated state is processed by a constructed radial basis function neural network observer. The estimated disturbance value is output by combining the weight matrix, and the estimated state is updated according to the core equation. Simultaneously, the weight matrix is ​​updated based on the observation error. The desired state of the followers is calculated based on the leader's reference trajectory and the fixed formation offset, and the formation error is calculated. Event-triggered communication conditions are constructed, and it is determined whether the conditions are met. Only when the conditions are met do the followers interact with the state and error according to the communication topology; otherwise, the previously triggered data is used. Finally, the current control input of the followers is calculated through a distributed control law.

This invention relates to the fields of data processing and industrial internet technology, and discloses information management methods, systems, electronic devices, and storage media. The methods include receiving heterogeneous data from multiple sources such as carbon emissions and energy consumption, mapping them into holographic data packets containing a unified spatiotemporal reference; dynamically constructing a spatiotemporal causal correlation spectrum based on the correlation weights between data nodes; calculating the topological potential energy value of a physical region, and generating hardware control commands when the potential energy value exceeds a warning threshold to adaptively adjust the sampling frequency of the front-end device; monitoring the correlation entropy of data nodes, and when a phase transition condition is met, serializing and migrating a stable subgraph to a second storage layer and generating a hash index; retrieving data based on the index and performing integrity verification. This invention achieves dynamic adjustment of the sampling frequency through topological potential energy feedback and uses correlation entropy to drive storage evolution, optimizing hardware resource configuration while ensuring the spatiotemporal correlation and reliable traceability of data.